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Littlecott H, Krishnaratne S, Burns J, Rehfuess E, Sell K, Klinger C, Strahwald B, Movsisyan A, Metzendorf MI, Schoenweger P, Voss S, Coenen M, Müller-Eberstein R, Pfadenhauer LM. Measures implemented in the school setting to contain the COVID-19 pandemic. Cochrane Database Syst Rev 2024; 5:CD015029. [PMID: 38695826 PMCID: PMC11064884 DOI: 10.1002/14651858.cd015029.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2024]
Abstract
BACKGROUND More than 767 million coronavirus 2019 (COVID-19) cases and 6.9 million deaths with COVID-19 have been recorded as of August 2023. Several public health and social measures were implemented in schools to contain the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and prevent onward transmission. We built upon methods from a previous Cochrane review to capture current empirical evidence relating to the effectiveness of school measures to limit SARS-CoV-2 transmission. OBJECTIVES To provide an updated assessment of the evidence on the effectiveness of measures implemented in the school setting to keep schools open safely during the COVID-19 pandemic. SEARCH METHODS We searched the Cochrane COVID-19 Study Register, Educational Resources Information Center, World Health Organization (WHO) COVID-19 Global literature on coronavirus disease database, and the US Department of Veterans Affairs Evidence Synthesis Program COVID-19 Evidence Reviews on 18 February 2022. SELECTION CRITERIA Eligible studies focused on measures implemented in the school setting to contain the COVID-19 pandemic, among students (aged 4 to 18 years) or individuals relating to the school, or both. We categorized studies that reported quantitative measures of intervention effectiveness, and studies that assessed the performance of surveillance measures as either 'main' or 'supporting' studies based on design and approach to handling key confounders. We were interested in transmission-related outcomes and intended or unintended consequences. DATA COLLECTION AND ANALYSIS Two review authors screened titles, abstracts and full texts. We extracted minimal data for supporting studies. For main studies, one review author extracted comprehensive data and assessed risk of bias, which a second author checked. We narratively synthesized findings for each intervention-comparator-outcome category (body of evidence). Two review authors assessed certainty of evidence. MAIN RESULTS The 15 main studies consisted of measures to reduce contacts (4 studies), make contacts safer (7 studies), surveillance and response measures (6 studies; 1 assessed transmission outcomes, 5 assessed performance of surveillance measures), and multicomponent measures (1 study). These main studies assessed outcomes in the school population (12), general population (2), and adults living with a school-attending child (1). Settings included K-12 (kindergarten to grade 12; 9 studies), secondary (3 studies), and K-8 (kindergarten to grade 8; 1 study) schools. Two studies did not clearly report settings. Studies measured transmission-related outcomes (10), performance of surveillance measures (5), and intended and unintended consequences (4). The 15 main studies were based in the WHO regions of the Americas (12), Europe (2), and Eastern Mediterranean (1). Comparators were more versus less intense measures, single versus multicomponent measures, and measures versus no measures. We organized results into relevant bodies of evidence, or groups of studies relating to the same 'intervention-comparator-outcome' categories. Across all bodies of evidence, certainty of evidence ratings limit our confidence in findings. Where we describe an effect as 'beneficial', the direction of the point estimate of the effect favours the intervention; a 'harmful' effect does not favour the intervention and 'null' shows no effect either way. Measures to reduce contact (4 studies) We grouped studies into 21 bodies of evidence: moderate- (10 bodies), low- (3 bodies), or very low-certainty evidence (8 bodies). The evidence was very low to moderate certainty for beneficial effects of remote versus in-person or hybrid teaching on transmission in the general population. For students and staff, mostly harmful effects were observed when more students participated in remote teaching. Moderate-certainty evidence showed that in the general population there was probably no effect on deaths and a beneficial effect on hospitalizations for remote versus in-person teaching, but no effect for remote versus hybrid teaching. The effects of hybrid teaching, a combination of in-person and remote teaching, were mixed. Very low-certainty evidence showed that there may have been a harmful effect on risk of infection among adults living with a school student for closing playgrounds and cafeterias, a null effect for keeping the same teacher, and a beneficial effect for cancelling extracurricular activities, keeping the same students together and restricting entry for parents and caregivers. Measures to make contact safer (7 studies) We grouped studies into eight bodies of evidence: moderate- (5 bodies), and low-certainty evidence (3 bodies). Low-certainty evidence showed that there may have been a beneficial effect of mask mandates on transmission-related outcomes. Moderate-certainty evidence showed full mandates were probably more beneficial than partial or no mandates. Evidence of a beneficial effect of physical distancing on risk of infection among staff and students was mixed. Moderate-certainty evidence showed that ventilation measures probably reduce cases among staff and students. One study (very low-certainty evidence) found that there may be a beneficial effect of not sharing supplies and increasing desk space on risk of infection for adults living with a school student, but showed there may be a harmful effect of desk shields. Surveillance and response measures (6 studies) We grouped studies into seven bodies of evidence: moderate- (3 bodies), low- (1 body), and very low-certainty evidence (3 bodies). Daily testing strategies to replace or reduce quarantine probably helped to reduce missed school days and decrease the proportion of asymptomatic school contacts testing positive (moderate-certainty evidence). For studies that assessed the performance of surveillance measures, the proportion of cases detected by rapid antigen detection testing ranged from 28.6% to 95.8%, positive predictive value ranged from 24.0% to 100.0% (very low-certainty evidence). There was probably no onward transmission from contacts of a positive case (moderate-certainty evidence) and replacing or shortening quarantine with testing may have reduced missed school days (low-certainty evidence). Multicomponent measures (1 study) Combining multiple measures may have led to a reduction in risk of infection among adults living with a student (very low-certainty evidence). AUTHORS' CONCLUSIONS A range of measures can have a beneficial effect on transmission-related outcomes, healthcare utilization and school attendance. We rated the current findings at a higher level of certainty than the original review. Further high-quality research into school measures to control SARS-CoV-2 in a wider variety of contexts is needed to develop a more evidence-based understanding of how to keep schools open safely during COVID-19 or a similar public health emergency.
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Affiliation(s)
- Hannah Littlecott
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Shari Krishnaratne
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
- Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Jacob Burns
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Eva Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Kerstin Sell
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Carmen Klinger
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Brigitte Strahwald
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Maria-Inti Metzendorf
- Institute of General Practice, Medical Faculty of the Heinrich-Heine University, Düsseldorf, Germany
| | - Petra Schoenweger
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Stephan Voss
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Michaela Coenen
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Roxana Müller-Eberstein
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Lisa M Pfadenhauer
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
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2
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Wendel F, Bender S, Breitinger E, Coenen M, Hummel J, Immich G, Kirschneck M, Klünder V, Kunzler AM, Lieb K, Movsisyan A, Li LY, Ravens-Sieberer U, Rehfuess E, Voss S, Jung-Sievers C. Interventions to build resilience and to ameliorate negative psychosocial effects of the COVID-19 pandemic on children and adolescents: a systematic review and meta-analysis. Eur Child Adolesc Psychiatry 2023:10.1007/s00787-023-02280-y. [PMID: 37573565 DOI: 10.1007/s00787-023-02280-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 08/03/2023] [Indexed: 08/15/2023]
Abstract
The psychosocial health of children and adolescents has been particularly affected by the COVID-19 pandemic. Containment measures have restricted social development, education and recreational activities, may have increased family conflicts and, in many cases, led to feelings of loneliness, sleep disturbances, symptoms of anxiety and depression. We conducted a systematic review to identify interventions that seek to ameliorate these detrimental effects of the COVID-19 pandemic and to build resilience in children and adolescents. Literature searches were conducted in the databases MEDLINE, EMBASE, PsycINFO, CENTRAL, WHO COVID-19 Global literature on coronavirus disease and Cochrane COVID-19 Study Register (up to 30 June 2022). The searches retrieved 9557 records of which we included 13 randomized-controlled trials (RCTs) for evidence synthesis. Included studies predominantly implemented online group sessions for school-aged children with either a psychological component, a physical activity component, or a combination of both. A meta-analysis of seven studies on anxiety and five on depressive symptoms provided evidence for a positive effect of interventions by reducing anxiety (Standardized Mean Difference (SMD) (95% CI): - 0.33 (- 0.59; - 0.06)) and depressive symptoms (SMD (95% CI): - 0.26 (- 0.36; - 0.16)) compared to the control interventions. Studies also showed improvements in positive mental health outcomes, such as resilience (n = 2) and mental and psychological wellbeing (n = 2). Exploratory subgroup analyses suggested a greater effectiveness of interventions that (i) are of higher frequency and duration, (ii) enable personal interaction (face-to-face or virtually), and (iii) include a physical activity component. Almost all studies were judged to be at high risk of bias and showed considerable heterogeneity. Further research may focus on the contribution of different intervention components or distinct subgroups and settings, and should examine children and adolescents over longer follow-up periods.
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Affiliation(s)
- Flora Wendel
- Institute for Medical Information Processing, Biometry and Epidemiology IBE, Faculty of Medicine, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany.
- Pettenkofer School of Public Health, Munich, Germany.
| | - Stephan Bender
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Eva Breitinger
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Michaela Coenen
- Institute for Medical Information Processing, Biometry and Epidemiology IBE, Faculty of Medicine, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Julia Hummel
- Institute for Medical Information Processing, Biometry and Epidemiology IBE, Faculty of Medicine, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Gisela Immich
- Institute for Medical Information Processing, Biometry and Epidemiology IBE, Faculty of Medicine, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Michaela Kirschneck
- Institute for Medical Information Processing, Biometry and Epidemiology IBE, Faculty of Medicine, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Vera Klünder
- Institute for Medical Information Processing, Biometry and Epidemiology IBE, Faculty of Medicine, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Angela M Kunzler
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Institute for Evidence in Medicine, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Klaus Lieb
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology IBE, Faculty of Medicine, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Lydia Y Li
- Department of Child and Adolescent Psychiatry, Psychotherapy, and Psychosomatics, Research Unit Child Public Health, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrike Ravens-Sieberer
- Department of Child and Adolescent Psychiatry, Psychotherapy, and Psychosomatics, Research Unit Child Public Health, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Eva Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology IBE, Faculty of Medicine, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Stephan Voss
- Institute for Medical Information Processing, Biometry and Epidemiology IBE, Faculty of Medicine, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Caroline Jung-Sievers
- Institute for Medical Information Processing, Biometry and Epidemiology IBE, Faculty of Medicine, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
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3
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Harvey CM, Smith H, Portela A, Movsisyan A. Stakeholder's perspectives of postnatal discharge: a qualitative evidence synthesis. BMJ Glob Health 2023; 8:e011766. [PMID: 37553175 PMCID: PMC10414110 DOI: 10.1136/bmjgh-2023-011766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 05/06/2023] [Indexed: 08/10/2023] Open
Abstract
INTRODUCTION Discharge preparation prior to leaving a health facility after childbirth offers a critical window of opportunity for women, parents and newborns to receive support for the transition to care at home. However, research suggests that the quality of discharge preparation following childbirth is variable. This review synthesises qualitative evidence on stakeholder perspectives of postnatal discharge. METHODS We conducted a thematic synthesis of qualitative studies included in a larger published scoping review on discharge preparedness and readiness (reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews). For inclusion, in the qualitative evidence synthesis, studies had to have used qualitative methods for data collection and analysis to capture the perspectives of women, parents and health workers. Key characteristics and findings were extracted, and thematic analysis was used to inductively develop a conceptual coding framework. RESULTS Of a total of 130 research documents (published research articles and grey literature), six studies met the inclusion criteria; five were conducted in high-income countries, five were published in English and one was published in Swedish. Studies reported on the experiences of women, fathers and midwives with the number of participants ranging from 12 to 324. Nine descriptive themes (findings) were identified. From these, three high-level analytical themes were generated: (1) health workers need support to optimise the postnatal discharge process; (2) the allocated time for, and timing of, discharge is rushed; (3) overlooking women's and fathers'/partners' needs leads to feelings of exclusion. CONCLUSIONS Findings suggest an overall feeling of dissatisfaction among women, parents and midwives with the current provision of discharge preparation. In particular, women and midwives expressed frustration at the lack of time and resources available for ensuring adequate quality of care prior to discharge. The perspectives of included stakeholders indicate a demand for increased focus on the emotional and social needs of women and families during discharge preparation as well as better engagement of fathers and other family members. The qualitative evidence available indicates the likely positive impact of adequate discharge preparation if the identified service and system barriers can be overcome. As the updated WHO recommendations on postnatal care become embedded in country health systems and policies, there may be renewed interest on values, preferences and perspectives at system, service and end-user level.
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Affiliation(s)
| | - Helen Smith
- International Health Consulting Services Ltd, Liverpool, UK
| | - Anayda Portela
- Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland
| | - Ani Movsisyan
- Institute for Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munchen, Germany
- Pettenkofer School of Public Health, Ludwig Maximilian University of Munich, Munchen, Bayern, Germany
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Rehfuess EA, Movsisyan A, Pfadenhauer LM, Burns J, Ludolph R, Michie S, Strahwald B. Public health and social measures during health emergencies such as the COVID-19 pandemic: An initial framework to conceptualize and classify measures. Influenza Other Respir Viruses 2023; 17:e13110. [PMID: 36909296 PMCID: PMC9996427 DOI: 10.1111/irv.13110] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 03/11/2023] Open
Abstract
Background Public health and social measures (PHSM) intend to reduce the transmission of infectious diseases and to reduce the burden on health systems, economies and societies. During the COVID-19 pandemic, PHSM have been selected, combined and implemented in a variable manner and inconsistently categorized in policy trackers. This paper presents an initial conceptual framework depicting how PHSM operate in a complex system, enabling a wide-reaching description of these measures and their intended and unintended outcomes. Methods In a multi-stage development process, we combined (i) a complexity perspective and systems thinking; (ii) literature on existing COVID-19 PHSM frameworks, taxonomies and policy trackers; (iii) expert input and (iv) application to school and international travel measures. Results The initial framework reflects our current understanding of how PHSM are intended to achieve transmission-related outcomes in a complex system, offering visualizations, definitions and worked examples. First, PHSM operate through two basic mechanisms, that is, reducing contacts and/or making contacts safer. Second, PHSM are defined not only by the measures themselves but by their stringency and application to specific populations and settings. Third, PHSM are critically influenced by contextual factors. The framework provides a tool for structured thinking and further development, rather than a ready-to-use tool for practice. Conclusions This conceptual framework seeks to facilitate coordinated, interdisciplinary research on PHSM effectiveness, impact and implementation; enable consistent, coherent PHSM monitoring and evaluation; and contribute to evidence-informed decision-making on PHSM implementation, adaptation and de-implementation. We expect this framework to be modified and refined over time.
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Affiliation(s)
- Eva A Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology LMU Munich Munich Germany.,Pettenkofer School of Public Health Munich Germany
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology LMU Munich Munich Germany.,Pettenkofer School of Public Health Munich Germany
| | - Lisa M Pfadenhauer
- Institute for Medical Information Processing, Biometry and Epidemiology LMU Munich Munich Germany.,Pettenkofer School of Public Health Munich Germany
| | - Jacob Burns
- Institute for Medical Information Processing, Biometry and Epidemiology LMU Munich Munich Germany.,Pettenkofer School of Public Health Munich Germany
| | - Ramona Ludolph
- Department of Epidemic and Pandemic Preparedness and Prevention WHO Health Emergencies Programme, World Health Organization Geneva Switzerland
| | - Susan Michie
- UCL Centre for Behaviour Change University College London London UK
| | - Brigitte Strahwald
- Institute for Medical Information Processing, Biometry and Epidemiology LMU Munich Munich Germany.,Pettenkofer School of Public Health Munich Germany
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Kuzmin B, Movsisyan A, Azizzadeh F, Praetsch F, Keyser O, Fadel M, Slottosch I, Scholz F, Wippermann J, Scherner M. Death Predictors in Patients with COVID-19 on Venovenous ECMO. Thorac Cardiovasc Surg 2023. [DOI: 10.1055/s-0043-1761781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2023]
Affiliation(s)
- B. Kuzmin
- University Hospital Magdeburg, Magdeburg, Deutschland
| | - A. Movsisyan
- University Hospital Magdeburg, Magdeburg, Deutschland
| | - F. Azizzadeh
- University Hospital Magdeburg, Magdeburg, Deutschland
| | - F. Praetsch
- University Hospital Magdeburg, Magdeburg, Deutschland
| | - O. Keyser
- University Hospital Magdeburg, Magdeburg, Deutschland
| | - M. Fadel
- University Hospital Magdeburg, Magdeburg, Deutschland
| | - I. Slottosch
- University Hospital Magdeburg, Magdeburg, Deutschland
| | - F. Scholz
- University Hospital Magdeburg, Magdeburg, Deutschland
| | - J. Wippermann
- University Hospital Magdeburg, Magdeburg, Deutschland
| | - M. Scherner
- University Hospital Magdeburg, Magdeburg, Deutschland
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Saif-Ur-Rahman K, Kothari K, Sadlier C, Moriarty F, Movsisyan A, Whelan S, Taneri PE, Blair M, Guyatt G, Devane D. Effect of COVID-19 vaccines for the treatment of people with post-COVID-19 condition: a rapid review. HRB Open Res 2022. [DOI: 10.12688/hrbopenres.13638.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Background: Vaccination for coronavirus disease 2019 (COVID-19) has demonstrated reduced risk of hospitalisation and death against more recent variants of COVID-19. Some studies suggested improvements in patients with post-COVID-19 condition (PCC) following vaccination. We systematically explored available evidence on the effect of COVID-19 vaccines for the treatment of people with PCC. Methods: We conducted a rapid review of the literature following systematic approaches. We searched Medline (OVID), EMBASE (Elsevier), ClinicalTrials.gov, and the International Clinical Trials Registry Platform (ICTRP) for randomised trials, non-randomised trials, controlled before-after studies, and interrupted time-series studies of the effect of COVID-19 vaccines for treating people with PCC. Two independent review authors screened citations. Two review authors extracted data independently. We had planned to assess the risk of bias and use the GRADE approach (Grading of Recommendations, Assessment, Development, and Evaluation) to assess the certainty of evidence if there were completed studies. Results: We identified two ongoing randomised controlled trials. Both trials examine the effectiveness of therapeutic vaccines on PCC. The anticipated completion date of the CIMAvax-EGFA trial is January 2023, and the completion date of the COVID-19 mRNA vaccine trial is not stated. Conclusions: There is currently an absence of high‐quality evidence evaluating the effectiveness of COVID-19 vaccines for treating people with post-COVID-19 condition. The absence of published studies and only two ongoing trials highlight the need for additional studies on the effectiveness of vaccines for PCC. We recommend that researchers consider PCC as per the definition provided by the World Health Organization and use the available core outcome set for PCC in deciding which outcomes to measure and report in the trials. PROPSERO registration: CRD42022330821 (20/06/2022)
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Stratil J, Biallas RL, Movsisyan A, Oliver K, Rehfuess EA. Anticipating & assessing adverse consequences of public health interventions - CONSEQUENT framework. Eur J Public Health 2022. [DOI: 10.1093/eurpub/ckac130.218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
Despite the best intentions, public health (PH) interventions can have adverse and other unintended consequences (AUCs). AUCs may arise in novel PH interventions, as well as from known and tested PH interventions implemented in a new context. Despite their importance, this topic has been largely overlooked. Therefore, we used a structured value-guided as well as evidence-based approach, to develop a framework to support researchers, practitioners, and policy-makers in anticipating and assessing AUCs of PH interventions.
Methods
We employed the ‘best-fit’ synthesis approach starting with an a priori framework and iteratively revising this based on systematically identified evidence. The a priori framework was derived from both the WHO-INTEGRATE framework and the Behaviour Change Wheel, to root the framework in global health norms and values, established mechanisms of PH interventions, and a complexity perspective. The a priori framework was advanced based on theoretical and conceptual publications and systematic reviews on the topic of AUCs in PH. Thematic analysis was used to revise the framework and identify new themes. To validate the framework, it was coded against four selected systematic reviews of AUCs of PH interventions.
Results
The CONSEQUENT framework includes two components: the first focuses on AUCs and serves to categorise them; the second component highlights the mechanisms through which AUCs may arise. The first component comprises eight domains of consequences - health-related, health system, human and fundamental rights, acceptability- and adherence-related, equality- and equity-related, social and institutional, economic and resource-related, and environmental.
Conclusions
Both over- and underestimation of AUCs of PH intervention poses risks. The CONSEQUENT framework may facilitate classification and conceptualization of AUCs of PH interventions during their development or evaluation to support evidence-informed decision-making.
Key messages
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Affiliation(s)
| | | | | | - K Oliver
- Faculty of Public Health and Policy, LSHTM , London, UK
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8
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Rehfuess E, Burns J, Ludolph R, Movsisyan A, Pfadenhauer L, Strahwald B. Public health and social measures during health emergencies such as the COVID-19 pandemic: an initial logic model to conceptualise and classify measures. Eur J Public Health 2022. [PMCID: PMC9594301 DOI: 10.1093/eurpub/ckac129.534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Issue/problem In the context of the COVID-19 pandemic, public health and social measures (PHSM) are being implemented worldwide, but in very different ways. This is also due to a lacking common understanding of PHSM so far. As a result, there are limited insights regarding their components, implementation and effectiveness as well as impacts beyond health of PHSM. Description of the problem The project contributes to the WHO PHSM initiative. A logic model is being developed that offers a shared language and understanding of how PHSM are intended to achieve transmission-related outcomes, but also that non-intended consequences need to be considered. The overall approach is informed by a system-based logic model template and a staged approach to logic modeling. The development process is making use of (i) existing COVID PHSM taxonomies and related literature, (ii) existing theoretical frameworks related to complex interventions in complex systems, (iii) consultations with WHO staff and the according PHSM steering group, and (v) iterative brainstorming within the working group. Results The initial logic model is rooted in a complexity perspective which recognises that (i) all measures have both intended and unintended consequences for health and society and (ii) all elements within the logic model are interconnected and interact with each other. All PHSM operate through two basic mechanisms: reducing contacts and making contacts safer. Taken together, these two mechanisms work to reduce transmission-relevant contacts. Any specific PHSM is defined by a combination of the measure itself, the population and/or setting targeted and the mode of enactment. The central hub of the logic model connects and integrates all elements. The initial logic model was applied to school and travel measures as examples. Main messages The PHSM logic model is a conceptual basis to facilitate research on PHSM, monitoring and evaluation of PHSM, and evidence-informed decision-making.
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Affiliation(s)
- E Rehfuess
- Institute for Medical Information Processing, University of Munich , Munich, Germany
| | - J Burns
- Institute for Medical Information Processing, University of Munich , Munich, Germany
| | - R Ludolph
- High Impact Events Preparedness Unit, WHO , Geneva, Switzerland
| | - A Movsisyan
- Institute for Medical Information Processing, University of Munich , Munich, Germany
| | - L Pfadenhauer
- Institute for Medical Information Processing, University of Munich , Munich, Germany
| | - B Strahwald
- Institute for Medical Information Processing, University of Munich , Munich, Germany
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9
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Rehfuess EA, Burns JB, Pfadenhauer LM, Krishnaratne S, Littlecott H, Meerpohl JJ, Movsisyan A. Lessons learnt: Undertaking rapid reviews on public health and social measures during a global pandemic. Res Synth Methods 2022; 13:558-572. [PMID: 35704478 PMCID: PMC9349463 DOI: 10.1002/jrsm.1580] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 06/01/2022] [Accepted: 06/10/2022] [Indexed: 12/04/2022]
Abstract
Public health and social measures (PHSM) have been central to the COVID‐19 response. Consequently, there has been much pressure on decision‐makers to make evidence‐informed decisions and on researchers to synthesize the evidence regarding these measures. This article describes our experiences, responses and lessons learnt regarding key challenges when planning and conducting rapid reviews of PHSM during the COVID‐19 pandemic. Stakeholder consultations and scoping reviews to obtain an overview of the evidence inform the scope of reviews that are policy‐relevant and feasible. Multiple complementary reviews serve to examine the benefits and harms of PHSM across different populations and contexts. Conceiving reviews of effectiveness as adaptable living reviews helps to respond to evolving evidence needs and an expanding evidence base. An appropriately skilled review team and good planning, coordination and communication ensures smooth and rigorous processes and efficient use of resources. Scientific rigor, the practical implications of PHSM‐related complexity and likely time savings should be carefully weighed in deciding on methodological shortcuts. Making the best possible use of modeling studies represents a particular challenge, and methods should be carefully chosen, piloted and implemented. Our experience raises questions regarding the nature of rapid reviews and regarding how different types of evidence should be considered in making decisions about PHSM during a global pandemic. We highlight the need for readily available protocols for conducting studies on the effectiveness, unintended consequences and implementation of PHSM in a timely manner, as well as the need for rapid review standards tailored to “rapid” versus “emergency” mode reviewing.
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Affiliation(s)
- E A Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.,Pettenkofer School of Public Health, Munich, Germany
| | - J B Burns
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.,Pettenkofer School of Public Health, Munich, Germany
| | - L M Pfadenhauer
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.,Pettenkofer School of Public Health, Munich, Germany
| | - S Krishnaratne
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.,Pettenkofer School of Public Health, Munich, Germany.,Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - H Littlecott
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.,Pettenkofer School of Public Health, Munich, Germany.,DECIPHer (Centre for Development, Evaluation, Complexity and Implementation in Public Health Improvement), School of Social Sciences, Cardiff University, Cardiff, United Kingdom
| | - J J Meerpohl
- Institute for Evidence in Medicine, Medical Center & Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Cochrane Germany, Cochrane Germany Foundation, Freiburg, Germany
| | - A Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.,Pettenkofer School of Public Health, Munich, Germany
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10
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Kratzer S, Pfadenhauer LM, Biallas RL, Featherstone R, Klinger C, Movsisyan A, Rabe JE, Stadelmaier J, Rehfuess E, Wabnitz K, Verboom B. Unintended consequences of measures implemented in the school setting to contain the COVID-19 pandemic: a scoping review. Cochrane Database Syst Rev 2022; 6:CD015397. [PMID: 35661990 PMCID: PMC9169532 DOI: 10.1002/14651858.cd015397] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND With the emergence of SARS-CoV-2 in late 2019, governments worldwide implemented a multitude of non-pharmaceutical interventions in order to control the spread of the virus. Most countries have implemented measures within the school setting in order to reopen schools or keep them open whilst aiming to contain the spread of SARS-CoV-2. For informed decision-making on implementation, adaptation, or suspension of such measures, it is not only crucial to evaluate their effectiveness with regard to SARS-CoV-2 transmission, but also to assess their unintended consequences. OBJECTIVES To comprehensively identify and map the evidence on the unintended health and societal consequences of school-based measures to prevent and control the spread of SARS-CoV-2. We aimed to generate a descriptive overview of the range of unintended (beneficial or harmful) consequences reported as well as the study designs that were employed to assess these outcomes. This review was designed to complement an existing Cochrane Review on the effectiveness of these measures by synthesising evidence on the implications of the broader system-level implications of school measures beyond their effects on SARS-CoV-2 transmission. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, four non-health databases, and two COVID-19 reference collections on 26 March 2021, together with reference checking, citation searching, and Google searches. SELECTION CRITERIA We included quantitative (including mathematical modelling), qualitative, and mixed-methods studies of any design that provided evidence on any unintended consequences of measures implemented in the school setting to contain the SARS-CoV-2 pandemic. Studies had to report on at least one unintended consequence, whether beneficial or harmful, of one or more relevant measures, as conceptualised in a logic model. DATA COLLECTION AND ANALYSIS: We screened the titles/abstracts and subsequently full texts in duplicate, with any discrepancies between review authors resolved through discussion. One review author extracted data for all included studies, with a second review author reviewing the data extraction for accuracy. The evidence was summarised narratively and graphically across four prespecified intervention categories and six prespecified categories of unintended consequences; findings were described as deriving from quantitative, qualitative, or mixed-method studies. MAIN RESULTS Eighteen studies met our inclusion criteria. Of these, 13 used quantitative methods (3 experimental/quasi-experimental; 5 observational; 5 modelling); four used qualitative methods; and one used mixed methods. Studies looked at effects in different population groups, mainly in children and teachers. The identified interventions were assigned to four broad categories: 14 studies assessed measures to make contacts safer; four studies looked at measures to reduce contacts; six studies assessed surveillance and response measures; and one study examined multiple measures combined. Studies addressed a wide range of unintended consequences, most of them considered harmful. Eleven studies investigated educational consequences. Seven studies reported on psychosocial outcomes. Three studies each provided information on physical health and health behaviour outcomes beyond COVID-19 and environmental consequences. Two studies reported on socio-economic consequences, and no studies reported on equity and equality consequences. AUTHORS' CONCLUSIONS We identified a heterogeneous evidence base on unintended consequences of measures implemented in the school setting to prevent and control the spread of SARS-CoV-2, and summarised the available study data narratively and graphically. Primary research better focused on specific measures and various unintended outcomes is needed to fill knowledge gaps and give a broader picture of the diverse unintended consequences of school-based measures before a more thorough evidence synthesis is warranted. The most notable lack of evidence we found was regarding psychosocial, equity, and equality outcomes. We also found a lack of research on interventions that aim to reduce the opportunity for contacts. Additionally, study investigators should provide sufficient data on contextual factors and demographics in order to ensure analyses of such are feasible, thus assisting stakeholders in making appropriate, informed decisions for their specific circumstances.
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Affiliation(s)
- Suzie Kratzer
- Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Lisa M Pfadenhauer
- Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Renke L Biallas
- Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | | | - Carmen Klinger
- Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Julia E Rabe
- Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Julia Stadelmaier
- Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Eva Rehfuess
- Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Katharina Wabnitz
- Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Ben Verboom
- Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
- Department of Social Policy and Intervention, University of Oxford, Oxford, UK
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11
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Diehl S, Kim A, Angelini G, Joo K, Adhikari S, Amaryan M, Arratia M, Atac H, Avakian H, Ayerbe Gayoso C, Baltzell NA, Barion L, Bastami S, Battaglieri M, Bedlinskiy I, Benmokhtar F, Bianconi A, Biselli AS, Bondi M, Bossù F, Boiarinov S, Brinkmann KT, Briscoe WJ, Brooks W, Bulumulla D, Burkert VD, Carman DS, Carvajal JC, Celentano A, Chatagnon P, Chetry T, Ciullo G, Clark L, Clary BA, Cole PL, Contalbrigo M, Costantini G, Crede V, D'Angelo A, Dashyan N, De Vita R, Defurne M, Deur A, Dilks C, Djalali C, Dugger M, Dupre R, Egiyan H, Ehrhart M, El Alaoui A, El Fassi L, Elouadrhiri L, Fegan S, Filippi A, Forest T, Gavalian G, Gilfoyle GP, Girod FX, Glazier DI, Golubenko AA, Gothe RW, Gotra Y, Griffioen KA, Guidal M, Hafidi K, Hakobyan H, Hattawy M, Hauenstein F, Hayward TB, Heddle D, Hicks K, Hobart A, Holtrop M, Hyde CE, Ireland DG, Isupov EL, Jo HS, Johnston R, Joosten S, Keller D, Khachatryan M, Khanal A, Kim W, Kripko A, Kubarovsky V, Kuhn SE, Lanza L, Leali M, Lee S, Lenisa P, Livingston K, Lu Z, MacGregor IJD, Marchand D, Markov N, Marsicano L, Mascagna V, McKinnon B, Meziani ZE, Milner RG, Mineeva T, Mirazita M, Mokeev V, Moran P, Movsisyan A, Munoz Camacho C, Nadel-Turonski P, Naidoo P, Nanda S, Neupane K, Niccolai S, Niculescu G, O'Connell TR, Osipenko M, Paolone M, Pappalardo LL, Paremuzyan R, Pasyuk E, Phelps W, Pogorelko O, Prok Y, Prokudin A, Raue BA, Ripani M, Ritman J, Rizzo A, Roberts CD, Rossi P, Rowley J, Sabatié F, Salgado C, Schmidt A, Segarra EP, Sharabian YG, Shrestha U, Simmerling P, Sokhan D, Soto O, Sparveris N, Stepanyan S, Stoler P, Strakovsky II, Strauch S, Tezgin K, Thornton A, Tyler N, Tyson R, Ungaro M, Venturelli L, Voskanyan H, Vossen A, Voutier E, Watts DP, Wei K, Wei X, Xu SS, Yale B, Zachariou N, Zhang J. Multidimensional, High Precision Measurements of Beam Single Spin Asymmetries in Semi-inclusive π^{+} Electroproduction off Protons in the Valence Region. Phys Rev Lett 2022; 128:062005. [PMID: 35213183 DOI: 10.1103/physrevlett.128.062005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 09/28/2021] [Accepted: 01/21/2022] [Indexed: 06/14/2023]
Abstract
High precision measurements of the polarized electron beam-spin asymmetry in semi-inclusive deep inelastic scattering (SIDIS) from the proton have been performed using a 10.6 GeV incident electron beam and the CLAS12 spectrometer at Jefferson Lab. We report here a high precision multidimensional study of single π^{+} SIDIS data over a large kinematic range in Bjorken x, fractional energy, and transverse momentum of the hadron as well as photon virtualities Q^{2} ranging from 1-7 GeV^{2}. In particular, the structure function ratio F_{LU}^{sinϕ}/F_{UU} has been determined, where F_{LU}^{sinϕ} is a twist-3 quantity that can reveal novel aspects of emergent hadron mass and quark-gluon correlations within the nucleon. The data's impact on the evolving understanding of the underlying reaction mechanisms and their kinematic variation is explored using theoretical models for the different contributing transverse momentum dependent parton distribution functions.
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Affiliation(s)
- S Diehl
- University of Connecticut, Storrs, Connecticut 06269, USA
- II. Physikalisches Institut der Universität Gießen, 35392 Gießen, Germany
| | - A Kim
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - G Angelini
- The George Washington University, Washington, D.C. 20052, USA
| | - K Joo
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - S Adhikari
- Florida International University, Miami, Florida 33199, USA
| | - M Amaryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Arratia
- University of California, Riverside, California 92521, USA
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Ayerbe Gayoso
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - N A Baltzell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Barion
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - S Bastami
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Battaglieri
- INFN, Sezione di Genova, 16146 Genova, Italy
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I Bedlinskiy
- National Research Centre Kurchatov Institute-ITEP, Moscow, 117259, Russia
| | - F Benmokhtar
- Duquesne University, 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, USA
| | - A Bianconi
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - A S Biselli
- Fairfield University, Fairfield, Connecticut 06824, USA
| | - M Bondi
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - F Bossù
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - S Boiarinov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K-T Brinkmann
- II. Physikalisches Institut der Universität Gießen, 35392 Gießen, Germany
| | - W J Briscoe
- The George Washington University, Washington, D.C. 20052, USA
| | - W Brooks
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J C Carvajal
- Florida International University, Miami, Florida 33199, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - P Chatagnon
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - T Chetry
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
- Ohio University, Athens, Ohio 45701, USA
| | - G Ciullo
- Universitá di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - L Clark
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - B A Clary
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - P L Cole
- Lamar University, 4400 MLK Blvd, P.O. Box 10046, Beaumont, Texas 77710, USA
| | | | - G Costantini
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - V Crede
- Florida State University, Tallahassee, Florida 32306, USA
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Università di Roma Tor Vergata, 00133 Rome Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - M Defurne
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Dilks
- Duke University, Durham, North Carolina 27708-0305, USA
| | - C Djalali
- Ohio University, Athens, Ohio 45701, USA
| | - M Dugger
- Arizona State University, Tempe, Arizona 85281, USA
| | - R Dupre
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - H Egiyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Ehrhart
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - A El Alaoui
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L El Fassi
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - L Elouadrhiri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Fegan
- University of York, York YO10 5DD, United Kingdom
| | - A Filippi
- INFN, Sezione di Torino, 10125 Torino, Italy
| | - T Forest
- Idaho State University, Pocatello, Idaho 83209, USA
| | - G Gavalian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - F X Girod
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D I Glazier
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - A A Golubenko
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - Y Gotra
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - M Guidal
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - M Hattawy
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - F Hauenstein
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - T B Hayward
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - D Heddle
- Christopher Newport University, Newport News, Virginia 23606, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Hicks
- Ohio University, Athens, Ohio 45701, USA
| | - A Hobart
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - C E Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - H S Jo
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - R Johnston
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - S Joosten
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - D Keller
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - M Khachatryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Khanal
- Florida International University, Miami, Florida 33199, USA
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - A Kripko
- II. Physikalisches Institut der Universität Gießen, 35392 Gießen, Germany
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S E Kuhn
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Lanza
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - M Leali
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - S Lee
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - P Lenisa
- Universitá di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Z Lu
- School of Physics, Southeast University, Nanjing 211189, Jiangsu, China
| | | | - D Marchand
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - N Markov
- University of Connecticut, Storrs, Connecticut 06269, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Marsicano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - V Mascagna
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi dell'Insubria, 22100 Como, Italy
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Z E Meziani
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R G Milner
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - T Mineeva
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - M Mirazita
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - V Mokeev
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Moran
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - A Movsisyan
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - C Munoz Camacho
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Naidoo
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - S Nanda
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - K Neupane
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Niccolai
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - T R O'Connell
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - M Paolone
- New Mexico State University, P.O. Box 30001, Las Cruces, New Mexico 88003, USA
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - L L Pappalardo
- Universitá di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - R Paremuzyan
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Pasyuk
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W Phelps
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - O Pogorelko
- National Research Centre Kurchatov Institute-ITEP, Moscow, 117259, Russia
| | - Y Prok
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Prokudin
- Science Division, Penn State University Berks, Reading, Pennsylvania 19610, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B A Raue
- Florida International University, Miami, Florida 33199, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - J Ritman
- Institute fur Kernphysik (Juelich), Juelich, Germany
| | - A Rizzo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Università di Roma Tor Vergata, 00133 Rome Italy
| | - C D Roberts
- School of Physics and Institute for Nonperturbative Physics, Nanjing University, Nanjing 210093, Jiangsu, China
| | - P Rossi
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Rowley
- Ohio University, Athens, Ohio 45701, USA
| | - F Sabatié
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - A Schmidt
- The George Washington University, Washington, D.C. 20052, USA
| | - E P Segarra
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - U Shrestha
- Ohio University, Athens, Ohio 45701, USA
| | - P Simmerling
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - D Sokhan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - O Soto
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Stepanyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Stoler
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA
| | - I I Strakovsky
- The George Washington University, Washington, D.C. 20052, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Tezgin
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - A Thornton
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - N Tyler
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - R Tyson
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - M Ungaro
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Venturelli
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - A Vossen
- Duke University, Durham, North Carolina 27708-0305, USA
| | - E Voutier
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D P Watts
- University of York, York YO10 5DD, United Kingdom
| | - K Wei
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S-S Xu
- School of Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, Jiangsu, China
| | - B Yale
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - N Zachariou
- University of York, York YO10 5DD, United Kingdom
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22901, USA
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12
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Krishnaratne S, Littlecott H, Sell K, Burns J, Rabe JE, Stratil JM, Litwin T, Kreutz C, Coenen M, Geffert K, Boger AH, Movsisyan A, Kratzer S, Klinger C, Wabnitz K, Strahwald B, Verboom B, Rehfuess E, Biallas RL, Jung-Sievers C, Voss S, Pfadenhauer LM. Measures implemented in the school setting to contain the COVID-19 pandemic. Cochrane Database Syst Rev 2022; 1:CD015029. [PMID: 35037252 PMCID: PMC8762709 DOI: 10.1002/14651858.cd015029] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND In response to the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the impact of coronavirus disease 2019 (COVID-19), governments have implemented a variety of measures to control the spread of the virus and the associated disease. Among these, have been measures to control the pandemic in primary and secondary school settings. OBJECTIVES To assess the effectiveness of measures implemented in the school setting to safely reopen schools, or keep schools open, or both, during the COVID-19 pandemic, with particular focus on the different types of measures implemented in school settings and the outcomes used to measure their impacts on transmission-related outcomes, healthcare utilisation outcomes, other health outcomes as well as societal, economic, and ecological outcomes. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and the Educational Resources Information Center, as well as COVID-19-specific databases, including the Cochrane COVID-19 Study Register and the WHO COVID-19 Global literature on coronavirus disease (indexing preprints) on 9 December 2020. We conducted backward-citation searches with existing reviews. SELECTION CRITERIA We considered experimental (i.e. randomised controlled trials; RCTs), quasi-experimental, observational and modelling studies assessing the effects of measures implemented in the school setting to safely reopen schools, or keep schools open, or both, during the COVID-19 pandemic. Outcome categories were (i) transmission-related outcomes (e.g. number or proportion of cases); (ii) healthcare utilisation outcomes (e.g. number or proportion of hospitalisations); (iii) other health outcomes (e.g. physical, social and mental health); and (iv) societal, economic and ecological outcomes (e.g. costs, human resources and education). We considered studies that included any population at risk of becoming infected with SARS-CoV-2 and/or developing COVID-19 disease including students, teachers, other school staff, or members of the wider community. DATA COLLECTION AND ANALYSIS: Two review authors independently screened titles, abstracts and full texts. One review author extracted data and critically appraised each study. One additional review author validated the extracted data. To critically appraise included studies, we used the ROBINS-I tool for quasi-experimental and observational studies, the QUADAS-2 tool for observational screening studies, and a bespoke tool for modelling studies. We synthesised findings narratively. Three review authors made an initial assessment of the certainty of evidence with GRADE, and several review authors discussed and agreed on the ratings. MAIN RESULTS We included 38 unique studies in the analysis, comprising 33 modelling studies, three observational studies, one quasi-experimental and one experimental study with modelling components. Measures fell into four broad categories: (i) measures reducing the opportunity for contacts; (ii) measures making contacts safer; (iii) surveillance and response measures; and (iv) multicomponent measures. As comparators, we encountered the operation of schools with no measures in place, less intense measures in place, single versus multicomponent measures in place, or closure of schools. Across all intervention categories and all study designs, very low- to low-certainty evidence ratings limit our confidence in the findings. Concerns with the quality of modelling studies related to potentially inappropriate assumptions about the model structure and input parameters, and an inadequate assessment of model uncertainty. Concerns with risk of bias in observational studies related to deviations from intended interventions or missing data. Across all categories, few studies reported on implementation or described how measures were implemented. Where we describe effects as 'positive', the direction of the point estimate of the effect favours the intervention(s); 'negative' effects do not favour the intervention. We found 23 modelling studies assessing measures reducing the opportunity for contacts (i.e. alternating attendance, reduced class size). Most of these studies assessed transmission and healthcare utilisation outcomes, and all of these studies showed a reduction in transmission (e.g. a reduction in the number or proportion of cases, reproduction number) and healthcare utilisation (i.e. fewer hospitalisations) and mixed or negative effects on societal, economic and ecological outcomes (i.e. fewer number of days spent in school). We identified 11 modelling studies and two observational studies assessing measures making contacts safer (i.e. mask wearing, cleaning, handwashing, ventilation). Five studies assessed the impact of combined measures to make contacts safer. They assessed transmission-related, healthcare utilisation, other health, and societal, economic and ecological outcomes. Most of these studies showed a reduction in transmission, and a reduction in hospitalisations; however, studies showed mixed or negative effects on societal, economic and ecological outcomes (i.e. fewer number of days spent in school). We identified 13 modelling studies and one observational study assessing surveillance and response measures, including testing and isolation, and symptomatic screening and isolation. Twelve studies focused on mass testing and isolation measures, while two looked specifically at symptom-based screening and isolation. Outcomes included transmission, healthcare utilisation, other health, and societal, economic and ecological outcomes. Most of these studies showed effects in favour of the intervention in terms of reductions in transmission and hospitalisations, however some showed mixed or negative effects on societal, economic and ecological outcomes (e.g. fewer number of days spent in school). We found three studies that reported outcomes relating to multicomponent measures, where it was not possible to disaggregate the effects of each individual intervention, including one modelling, one observational and one quasi-experimental study. These studies employed interventions, such as physical distancing, modification of school activities, testing, and exemption of high-risk students, using measures such as hand hygiene and mask wearing. Most of these studies showed a reduction in transmission, however some showed mixed or no effects. As the majority of studies included in the review were modelling studies, there was a lack of empirical, real-world data, which meant that there were very little data on the actual implementation of interventions. AUTHORS' CONCLUSIONS Our review suggests that a broad range of measures implemented in the school setting can have positive impacts on the transmission of SARS-CoV-2, and on healthcare utilisation outcomes related to COVID-19. The certainty of the evidence for most intervention-outcome combinations is very low, and the true effects of these measures are likely to be substantially different from those reported here. Measures implemented in the school setting may limit the number or proportion of cases and deaths, and may delay the progression of the pandemic. However, they may also lead to negative unintended consequences, such as fewer days spent in school (beyond those intended by the intervention). Further, most studies assessed the effects of a combination of interventions, which could not be disentangled to estimate their specific effects. Studies assessing measures to reduce contacts and to make contacts safer consistently predicted positive effects on transmission and healthcare utilisation, but may reduce the number of days students spent at school. Studies assessing surveillance and response measures predicted reductions in hospitalisations and school days missed due to infection or quarantine, however, there was mixed evidence on resources needed for surveillance. Evidence on multicomponent measures was mixed, mostly due to comparators. The magnitude of effects depends on multiple factors. New studies published since the original search date might heavily influence the overall conclusions and interpretation of findings for this review.
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Affiliation(s)
- Shari Krishnaratne
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
- Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Hannah Littlecott
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
- DECIPHer, School of Social Sciences, Cardiff University, Cardiff, UK
| | - Kerstin Sell
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Jacob Burns
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Julia E Rabe
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Jan M Stratil
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Tim Litwin
- Institute of Medical Biometry and Statistics (IMBI), Freiburg Center for Data Analytics and Modeling (FDM), Faculty of Medicine and Medical Center, Albert-Ludwig-University, Freiburg, Germany
| | - Clemens Kreutz
- Institute of Medical Biometry and Statistics (IMBI), Freiburg Center for Data Analytics and Modeling (FDM), Faculty of Medicine and Medical Center, Albert-Ludwig-University, Freiburg, Germany
| | - Michaela Coenen
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Karin Geffert
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Anna Helen Boger
- Institute of Medical Biometry and Statistics (IMBI), Freiburg Center for Data Analytics and Modeling (FDM), Faculty of Medicine and Medical Center, Albert-Ludwig-University, Freiburg, Germany
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Suzie Kratzer
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Carmen Klinger
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Katharina Wabnitz
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Brigitte Strahwald
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Ben Verboom
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Eva Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Renke L Biallas
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Caroline Jung-Sievers
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Stephan Voss
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Lisa M Pfadenhauer
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
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13
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Klinger C, Burns J, Movsisyan A, Biallas R, Norris SL, Rabe JE, Stratil JM, Voss S, Wabnitz K, Rehfuess EA, Verboom B. Unintended health and societal consequences of international travel measures during the COVID-19 pandemic: a scoping review. J Travel Med 2021; 28:taab123. [PMID: 34369562 PMCID: PMC8436381 DOI: 10.1093/jtm/taab123] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/18/2021] [Accepted: 07/27/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND/OBJECTIVE International travel measures to contain the coronavirus disease of 2019 (COVID-19) pandemic represent a relatively intrusive form of non-pharmaceutical intervention. To inform decision-making on the (re)implementation, adaptation, relaxation or suspension of such measures, it is essential to not only assess their effectiveness but also their unintended effects. METHODS This scoping review maps existing empirical studies on the unintended consequences, both predicted and unforeseen, and beneficial or harmful, of international travel measures. We searched multiple health, non-health and COVID-19-specific databases. The evidence was charted in a map in relation to the study design, intervention and outcome categories identified and discussed narratively. RESULTS Twenty-three studies met our inclusion criteria-nine quasi-experimental, two observational, two mathematical modelling, six qualitative and four mixed-methods studies. Studies addressed different population groups across various countries worldwide. Seven studies provided information on unintended consequences of the closure of national borders, six looked at international travel restrictions and three investigated mandatory quarantine of international travellers. No studies looked at entry and/or exit screening at national borders exclusively, however six studies considered this intervention in combination with other international travel measures. In total, 11 studies assessed various combinations of the aforementioned interventions. The outcomes were mostly referred to by the authors as harmful. Fifteen studies identified a variety of economic consequences, six reported on aspects related to quality of life, well-being, and mental health and five on social consequences. One study each provided information on equity, equality, and the fair distribution of benefits and burdens, environmental consequences and health system consequences. CONCLUSION This scoping review represents the first step towards a systematic assessment of the unintended benefits and harms of international travel measures during COVID-19. The key research gaps identified might be filled with targeted primary research, as well as the additional consideration of gray literature and non-empirical studies.
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Affiliation(s)
- Carmen Klinger
- Chair of Public Health and Health Services Research, Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
| | - Jacob Burns
- Chair of Public Health and Health Services Research, Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
| | - Ani Movsisyan
- Chair of Public Health and Health Services Research, Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
| | - Renke Biallas
- Chair of Public Health and Health Services Research, Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
| | - Susan L Norris
- Chair of Public Health and Health Services Research, Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Department of Family Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, USA
| | - Julia E Rabe
- Chair of Public Health and Health Services Research, Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
| | - Jan M Stratil
- Chair of Public Health and Health Services Research, Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
| | - Stephan Voss
- Chair of Public Health and Health Services Research, Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
| | - Katharina Wabnitz
- Chair of Public Health and Health Services Research, Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
| | - Eva A Rehfuess
- Chair of Public Health and Health Services Research, Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
| | - Ben Verboom
- Chair of Public Health and Health Services Research, Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Department of Social Policy and Intervention, University of Oxford, Barnett House, 32 Wellington Square Oxford OX1 2ER
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14
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Bach-Mortensen AM, Verboom B, Movsisyan A, Degli Esposti M. A systematic review of the associations between care home ownership and COVID-19 outbreaks, infections and mortality. Nat Aging 2021; 1:948-961. [PMID: 37118328 DOI: 10.1038/s43587-021-00106-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 08/02/2021] [Indexed: 04/30/2023]
Abstract
Social care markets often rely on the for-profit sector to meet service demand. For-profit care homes have been reported to suffer higher rates of coronavirus disease 2019 (COVID-19) infections and deaths, but it is unclear whether these worse outcomes can be attributed to ownership status. To address this, we designed and prospectively registered a living systematic review protocol ( CRD42020218673 ). Here we report on the systematic review and quality appraisal of 32 studies across five countries that investigated ownership variation in COVID-19 outcomes among care homes. We show that, although for-profit ownership was not consistently associated with a higher risk of a COVID-19 outbreak, there was evidence that for-profit care homes had higher rates of COVID-19 infections and deaths. We also found evidence that for-profit ownership was associated with personal protective equipment (PPE) shortages. Variation in COVID-19 outcomes is not driven by ownership status alone, and factors related to staffing, provider size and resident characteristics were also linked to poorer outcomes. However, this synthesis finds that for-profit status and care home characteristics associated with for-profit status are linked to exacerbated COVID-19 outcomes.
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Affiliation(s)
| | - Ben Verboom
- Institute for Medical Information Processing, Biometry and Epidemiology, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
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15
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Stratil JM, Biallas RL, Burns J, Arnold L, Geffert K, Kunzler AM, Monsef I, Stadelmaier J, Wabnitz K, Litwin T, Kreutz C, Boger AH, Lindner S, Verboom B, Voss S, Movsisyan A. Non-pharmacological measures implemented in the setting of long-term care facilities to prevent SARS-CoV-2 infections and their consequences: a rapid review. Cochrane Database Syst Rev 2021; 9:CD015085. [PMID: 34523727 PMCID: PMC8442144 DOI: 10.1002/14651858.cd015085.pub2] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Starting in late 2019, COVID-19, caused by the novel coronavirus SARS-CoV-2, spread around the world. Long-term care facilities are at particularly high risk of outbreaks, and the burden of morbidity and mortality is very high among residents living in these facilities. OBJECTIVES To assess the effects of non-pharmacological measures implemented in long-term care facilities to prevent or reduce the transmission of SARS-CoV-2 infection among residents, staff, and visitors. SEARCH METHODS On 22 January 2021, we searched the Cochrane COVID-19 Study Register, WHO COVID-19 Global literature on coronavirus disease, Web of Science, and CINAHL. We also conducted backward citation searches of existing reviews. SELECTION CRITERIA We considered experimental, quasi-experimental, observational and modelling studies that assessed the effects of the measures implemented in long-term care facilities to protect residents and staff against SARS-CoV-2 infection. Primary outcomes were infections, hospitalisations and deaths due to COVID-19, contaminations of and outbreaks in long-term care facilities, and adverse health effects. DATA COLLECTION AND ANALYSIS Two review authors independently screened titles, abstracts and full texts. One review author performed data extractions, risk of bias assessments and quality appraisals, and at least one other author checked their accuracy. Risk of bias and quality assessments were conducted using the ROBINS-I tool for cohort and interrupted-time-series studies, the Joanna Briggs Institute (JBI) checklist for case-control studies, and a bespoke tool for modelling studies. We synthesised findings narratively, focusing on the direction of effect. One review author assessed certainty of evidence with GRADE, with the author team critically discussing the ratings. MAIN RESULTS We included 11 observational studies and 11 modelling studies in the analysis. All studies were conducted in high-income countries. Most studies compared outcomes in long-term care facilities that implemented the measures with predicted or observed control scenarios without the measure (but often with baseline infection control measures also in place). Several modelling studies assessed additional comparator scenarios, such as comparing higher with lower rates of testing. There were serious concerns regarding risk of bias in almost all observational studies and major or critical concerns regarding the quality of many modelling studies. Most observational studies did not adequately control for confounding. Many modelling studies used inappropriate assumptions about the structure and input parameters of the models, and failed to adequately assess uncertainty. Overall, we identified five intervention domains, each including a number of specific measures. Entry regulation measures (4 observational studies; 4 modelling studies) Self-confinement of staff with residents may reduce the number of infections, probability of facility contamination, and number of deaths. Quarantine for new admissions may reduce the number of infections. Testing of new admissions and intensified testing of residents and of staff after holidays may reduce the number of infections, but the evidence is very uncertain. The evidence is very uncertain regarding whether restricting admissions of new residents reduces the number of infections, but the measure may reduce the probability of facility contamination. Visiting restrictions may reduce the number of infections and deaths. Furthermore, it may increase the probability of facility contamination, but the evidence is very uncertain. It is very uncertain how visiting restrictions may adversely affect the mental health of residents. Contact-regulating and transmission-reducing measures (6 observational studies; 2 modelling studies) Barrier nursing may increase the number of infections and the probability of outbreaks, but the evidence is very uncertain. Multicomponent cleaning and environmental hygiene measures may reduce the number of infections, but the evidence is very uncertain. It is unclear how contact reduction measures affect the probability of outbreaks. These measures may reduce the number of infections, but the evidence is very uncertain. Personal hygiene measures may reduce the probability of outbreaks, but the evidence is very uncertain. Mask and personal protective equipment usage may reduce the number of infections, the probability of outbreaks, and the number of deaths, but the evidence is very uncertain. Cohorting residents and staff may reduce the number of infections, although evidence is very uncertain. Multicomponent contact -regulating and transmission -reducing measures may reduce the probability of outbreaks, but the evidence is very uncertain. Surveillance measures (2 observational studies; 6 modelling studies) Routine testing of residents and staff independent of symptoms may reduce the number of infections. It may reduce the probability of outbreaks, but the evidence is very uncertain. Evidence from one observational study suggests that the measure may reduce, while the evidence from one modelling study suggests that it probably reduces hospitalisations. The measure may reduce the number of deaths among residents, but the evidence on deaths among staff is unclear. Symptom-based surveillance testing may reduce the number of infections and the probability of outbreaks, but the evidence is very uncertain. Outbreak control measures (4 observational studies; 3 modelling studies) Separating infected and non-infected residents or staff caring for them may reduce the number of infections. The measure may reduce the probability of outbreaks and may reduce the number of deaths, but the evidence for the latter is very uncertain. Isolation of cases may reduce the number of infections and the probability of outbreaks, but the evidence is very uncertain. Multicomponent measures (2 observational studies; 1 modelling study) A combination of multiple infection-control measures, including various combinations of the above categories, may reduce the number of infections and may reduce the number of deaths, but the evidence for the latter is very uncertain. AUTHORS' CONCLUSIONS This review provides a comprehensive framework and synthesis of a range of non-pharmacological measures implemented in long-term care facilities. These may prevent SARS-CoV-2 infections and their consequences. However, the certainty of evidence is predominantly low to very low, due to the limited availability of evidence and the design and quality of available studies. Therefore, true effects may be substantially different from those reported here. Overall, more studies producing stronger evidence on the effects of non-pharmacological measures are needed, especially in low- and middle-income countries and on possible unintended consequences of these measures. Future research should explore the reasons behind the paucity of evidence to guide pandemic research priority setting in the future.
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Affiliation(s)
- Jan M Stratil
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Renke L Biallas
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Jacob Burns
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Laura Arnold
- Academy of Public Health Services, Duesseldorf, Germany
| | - Karin Geffert
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Angela M Kunzler
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Ina Monsef
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Julia Stadelmaier
- Institute for Evidence in Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Katharina Wabnitz
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Tim Litwin
- Institute of Medical Biometry and Statistics (IMBI), Freiburg Center for Data Analysis and Modeling (FDM), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Clemens Kreutz
- Institute of Medical Biometry and Statistics (IMBI), Freiburg Center for Data Analysis and Modeling (FDM), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Anna Helen Boger
- Institute of Medical Biometry and Statistics (IMBI), Freiburg Center for Data Analysis and Modeling (FDM), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Saskia Lindner
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Ben Verboom
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
- Department of Social Policy and Intervention, University of Oxford, Oxford, UK
| | - Stephan Voss
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
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16
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Moore G, Campbell M, Copeland L, Craig P, Movsisyan A, Hoddinott P, Littlecott H, O'Cathain A, Pfadenhauer L, Rehfuess E, Segrott J, Hawe P, Kee F, Couturiaux D, Hallingberg B, Evans R. Adapting interventions to new contexts-the ADAPT guidance. BMJ 2021; 374:n1679. [PMID: 34344699 PMCID: PMC8329746 DOI: 10.1136/bmj.n1679] [Citation(s) in RCA: 104] [Impact Index Per Article: 34.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/28/2021] [Indexed: 11/05/2022]
Affiliation(s)
- Graham Moore
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), School of Social Sciences, Cardiff University, Cardiff, UK
| | - Mhairi Campbell
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Lauren Copeland
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), School of Social Sciences, Cardiff University, Cardiff, UK
| | - Peter Craig
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Ani Movsisyan
- Pettenkofer School of Public Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany
| | - Pat Hoddinott
- Nursing, Midwifery and Allied Health Professions Research Unit, University of Stirling, Stirling, UK
| | - Hannah Littlecott
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), School of Social Sciences, Cardiff University, Cardiff, UK
| | - Alicia O'Cathain
- School for Health and Related Research, University of Sheffield, Sheffield, UK
| | - Lisa Pfadenhauer
- Pettenkofer School of Public Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany
| | - Eva Rehfuess
- Pettenkofer School of Public Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany
| | - Jeremy Segrott
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), Centre for Trials Research, Cardiff University, Cardiff, UK
| | - Penelope Hawe
- Menzies Centre for Health Policy, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia
- O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada
| | - Frank Kee
- Centre for Public Health, Queens University Belfast, Belfast, UK
| | - Danielle Couturiaux
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), School of Social Sciences, Cardiff University, Cardiff, UK
| | - Britt Hallingberg
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), School of Social Sciences, Cardiff University, Cardiff, UK
- Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK
| | - Rhiannon Evans
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), School of Social Sciences, Cardiff University, Cardiff, UK
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17
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Burns J, Movsisyan A, Rehfuess EA, Stratil JM. Border control and SARS-CoV-2: an opportunity for generating highly policy-relevant, real-world evidence. J Travel Med 2021; 28:6168691. [PMID: 33710343 PMCID: PMC7989420 DOI: 10.1093/jtm/taab037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 03/04/2021] [Indexed: 01/01/2023]
Abstract
We propose a study type that would contribute to the evidence base related to border control measures. Over a study period during which arriving travellers are quarantined, repeated testing and/or screening at regular intervals would provide real-world data on the relative and combined effects of various screening and testing measures.
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Affiliation(s)
- Jacob Burns
- Institute for Medical Information Processing, Biometry and Epidemiology-IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany.,Pettenkofer School of Public Health, Munich, Germany
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology-IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany.,Pettenkofer School of Public Health, Munich, Germany
| | - Eva A Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology-IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany.,Pettenkofer School of Public Health, Munich, Germany
| | - Jan M Stratil
- Institute for Medical Information Processing, Biometry and Epidemiology-IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany.,Pettenkofer School of Public Health, Munich, Germany
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18
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Stratil JM, Biallas RL, Burns J, Arnold L, Geffert K, Kunzler AM, Monsef I, Stadelmaier J, Wabnitz K, Movsisyan A. Non-pharmacological measures implemented in the setting of long-term care facilities to prevent SARS-CoV-2 infections and their consequences: a rapid review. Hippokratia 2021. [DOI: 10.1002/14651858.cd015085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Jan M Stratil
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research; LMU Munich; Munich Germany
- Pettenkofer School of Public Health; Munich Germany
| | - Renke Lars Biallas
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research; LMU Munich; Munich Germany
- Pettenkofer School of Public Health; Munich Germany
| | - Jacob Burns
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research; LMU Munich; Munich Germany
- Pettenkofer School of Public Health; Munich Germany
| | - Laura Arnold
- Academy of Public Health Services; Duesseldorf Germany
| | - Karin Geffert
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research; LMU Munich; Munich Germany
- Pettenkofer School of Public Health; Munich Germany
| | - Angela M Kunzler
- Leibniz Institute for Resilience Research (LIR); Mainz Germany
- Department of Psychiatry and Psychotherapy; University Medical Center of the Johannes Gutenberg University Mainz; Mainz Germany
| | - Ina Monsef
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf; Faculty of Medicine and University Hospital Cologne, University of Cologne; Cologne Germany
| | - Julia Stadelmaier
- Institute for Evidence in Medicine, Medical Center; Faculty of Medicine, University of Freiburg; Freiburg Germany
| | - Katharina Wabnitz
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research; LMU Munich; Munich Germany
- Pettenkofer School of Public Health; Munich Germany
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research; LMU Munich; Munich Germany
- Pettenkofer School of Public Health; Munich Germany
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19
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Bernauer JC, Schmidt A, Henderson BS, Ice LD, Khaneft D, O'Connor C, Russell R, Akopov N, Alarcon R, Ates O, Avetisyan A, Beck R, Belostotski S, Bessuille J, Brinker F, Calarco JR, Carassiti V, Cisbani E, Ciullo G, Contalbrigo M, De Leo R, Diefenbach J, Donnelly TW, Dow K, Elbakian G, Eversheim PD, Frullani S, Funke C, Gavrilov G, Gläser B, Görrissen N, Hasell DK, Hauschildt J, Hoffmeister P, Holler Y, Ihloff E, Izotov A, Kaiser R, Karyan G, Kelsey J, Kiselev A, Klassen P, Krivshich A, Kohl M, Lehmann I, Lenisa P, Lenz D, Lumsden S, Ma Y, Maas F, Marukyan H, Miklukho O, Milner RG, Movsisyan A, Murray M, Naryshkin Y, Perez Benito R, Perrino R, Redwine RP, Rodríguez Piñeiro D, Rosner G, Schneekloth U, Seitz B, Statera M, Thiel A, Vardanyan H, Veretennikov D, Vidal C, Winnebeck A, Yeganov V. Measurement of the Charge-Averaged Elastic Lepton-Proton Scattering Cross Section by the OLYMPUS Experiment. Phys Rev Lett 2021; 126:162501. [PMID: 33961478 DOI: 10.1103/physrevlett.126.162501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 03/17/2021] [Accepted: 03/23/2021] [Indexed: 06/12/2023]
Abstract
We report the first measurement of the average of the electron-proton and positron-proton elastic scattering cross sections. This lepton charge-averaged cross section is insensitive to the leading effects of hard two-photon exchange, giving more robust access to the proton's electromagnetic form factors. The cross section was extracted from data taken by the OLYMPUS experiment at DESY, in which alternating stored electron and positron beams were scattered from a windowless gaseous hydrogen target. Elastic scattering events were identified from the coincident detection of the scattered lepton and recoil proton in a large-acceptance toroidal spectrometer. The luminosity was determined from the rates of Møller, Bhabha, and elastic scattering in forward electromagnetic calorimeters. The data provide some selectivity between existing form factor global fits and will provide valuable constraints to future fits.
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Affiliation(s)
- J C Bernauer
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Schmidt
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - B S Henderson
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - L D Ice
- Arizona State University, Tempe, Arizona 85287, USA
| | - D Khaneft
- Johannes Gutenberg-Universität, Mainz, Germany
| | - C O'Connor
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R Russell
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - N Akopov
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan, Armenia
| | - R Alarcon
- Arizona State University, Tempe, Arizona 85287, USA
| | - O Ates
- Hampton University, Hampton, Virginia 23668, USA
| | - A Avetisyan
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan, Armenia
| | - R Beck
- Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany
| | - S Belostotski
- Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - J Bessuille
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - F Brinker
- Deutsches Elektronen-Synchrotron, Hamburg, Germany
| | - J R Calarco
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - V Carassiti
- Università degli Studi di Ferrara and Istituto Nazionale di Fisica Nucleare sezione di Ferrara, Ferrara, Italy
| | - E Cisbani
- Istituto Nazionale di Fisica Nucleare sezione di Roma and Istituto Superiore di Sanità, Rome, Italy
| | - G Ciullo
- Università degli Studi di Ferrara and Istituto Nazionale di Fisica Nucleare sezione di Ferrara, Ferrara, Italy
| | - M Contalbrigo
- Università degli Studi di Ferrara and Istituto Nazionale di Fisica Nucleare sezione di Ferrara, Ferrara, Italy
| | - R De Leo
- Istituto Nazionale di Fisica Nucleare sezione di Bari, Bari, Italy
| | - J Diefenbach
- Hampton University, Hampton, Virginia 23668, USA
| | - T W Donnelly
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - K Dow
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Elbakian
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan, Armenia
| | - P D Eversheim
- Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany
| | - S Frullani
- Istituto Nazionale di Fisica Nucleare sezione di Roma and Istituto Superiore di Sanità, Rome, Italy
| | - Ch Funke
- Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany
| | - G Gavrilov
- Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - B Gläser
- Johannes Gutenberg-Universität, Mainz, Germany
| | - N Görrissen
- Deutsches Elektronen-Synchrotron, Hamburg, Germany
| | - D K Hasell
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - J Hauschildt
- Deutsches Elektronen-Synchrotron, Hamburg, Germany
| | - Ph Hoffmeister
- Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany
| | - Y Holler
- Deutsches Elektronen-Synchrotron, Hamburg, Germany
| | - E Ihloff
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Izotov
- Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - R Kaiser
- University of Glasgow, Glasgow, United Kingdom
| | - G Karyan
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan, Armenia
| | - J Kelsey
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Kiselev
- Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - P Klassen
- Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany
| | - A Krivshich
- Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - M Kohl
- Hampton University, Hampton, Virginia 23668, USA
| | - I Lehmann
- University of Glasgow, Glasgow, United Kingdom
| | - P Lenisa
- Università degli Studi di Ferrara and Istituto Nazionale di Fisica Nucleare sezione di Ferrara, Ferrara, Italy
| | - D Lenz
- Deutsches Elektronen-Synchrotron, Hamburg, Germany
| | - S Lumsden
- University of Glasgow, Glasgow, United Kingdom
| | - Y Ma
- Johannes Gutenberg-Universität, Mainz, Germany
| | - F Maas
- Johannes Gutenberg-Universität, Mainz, Germany
| | - H Marukyan
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan, Armenia
| | - O Miklukho
- Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - R G Milner
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Movsisyan
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan, Armenia
- Università degli Studi di Ferrara and Istituto Nazionale di Fisica Nucleare sezione di Ferrara, Ferrara, Italy
| | - M Murray
- University of Glasgow, Glasgow, United Kingdom
| | - Y Naryshkin
- Petersburg Nuclear Physics Institute, Gatchina, Russia
| | | | - R Perrino
- Istituto Nazionale di Fisica Nucleare sezione di Bari, Bari, Italy
| | - R P Redwine
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | | | - G Rosner
- University of Glasgow, Glasgow, United Kingdom
| | | | - B Seitz
- University of Glasgow, Glasgow, United Kingdom
| | - M Statera
- Università degli Studi di Ferrara and Istituto Nazionale di Fisica Nucleare sezione di Ferrara, Ferrara, Italy
| | - A Thiel
- Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany
| | - H Vardanyan
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan, Armenia
| | | | - C Vidal
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Winnebeck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - V Yeganov
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan, Armenia
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20
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Hayward TB, Dilks C, Vossen A, Avakian H, Adhikari S, Angelini G, Arratia M, Atac H, Ayerbe Gayoso C, Baltzell NA, Barion L, Battaglieri M, Bedlinskiy I, Benmokhtar F, Bianconi A, Biselli AS, Bondì M, Bossù F, Boiarinov S, Briscoe WJ, Brooks WK, Bulumulla D, Burkert VD, Carman DS, Carvajal JC, Celentano A, Chatagnon P, Chetry T, Ciullo G, Clary BA, Cole PL, Contalbrigo M, Costantini G, Crede V, D'Angelo A, Dashyan N, De Vita R, Defurne M, Deur A, Diehl S, Djalali C, Dupre R, Dugger M, Egiyan H, Ehrhart M, El Alaoui A, El Fassi L, Elouadrhiri L, Fegan S, Filippi A, Forest TA, Gavalian G, Gilfoyle GP, Girod FX, Glazier DI, Golubenko AA, Gothe RW, Gotra Y, Griffioen KA, Guidal M, Hafidi K, Hakobyan H, Hattawy M, Hauenstein F, Hicks K, Hobart A, Holtrop M, Ireland DG, Isupov EL, Jo HS, Joo K, Joosten S, Keller D, Khachatryan M, Khanal A, Kim A, Kim W, Kripko A, Kubarovsky V, Kuhn SE, Lanza L, Leali M, Lee S, Lenisa P, Livingston K, MacGregor IJD, Marchand D, Markov N, Marsicano L, Mascagna V, McKinnon B, Meziani ZE, Mirazita M, Mokeev V, Movsisyan A, Munoz Camacho C, Nadel-Turonski P, Naidoo P, Nanda S, Neupane K, Niccolai S, Niculescu G, O'Connell TR, Osipenko M, Paolone M, Pappalardo LL, Paremuzyan R, Pasyuk E, Phelps W, Pogorelko O, Prok Y, Raue BA, Ripani M, Ritman J, Rizzo A, Rossi P, Rowley J, Sabatié F, Salgado C, Schmidt A, Segarra EP, Sharabian YG, Shrestha U, Sokhan D, Soto O, Sparveris N, Stepanyan S, Strakovsky II, Strauch S, Thornton A, Tyler N, Tyson R, Ungaro M, Venturelli L, Voskanyan H, Voutier E, Watts DP, Wei K, Wei X, Wood MH, Yale B, Zachariou N, Zhang J. Observation of Beam Spin Asymmetries in the Process ep→e^{'}π^{+}π^{-}X with CLAS12. Phys Rev Lett 2021; 126:152501. [PMID: 33929247 DOI: 10.1103/physrevlett.126.152501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 02/25/2021] [Accepted: 03/18/2021] [Indexed: 06/12/2023]
Abstract
The observation of beam spin asymmetries in two-pion production in semi-inclusive deep inelastic scattering off an unpolarized proton target is reported. The data presented here were taken in the fall of 2018 with the CLAS12 spectrometer using a 10.6 GeV longitudinally spin-polarized electron beam delivered by CEBAF at JLab. The measured asymmetries provide the first opportunity to extract the parton distribution function e(x), which provides information about the interaction between gluons and quarks, in a collinear framework that offers cleaner access than previous measurements. The asymmetries also constitute the first ever signal sensitive to the helicity-dependent two-pion fragmentation function G_{1}^{⊥}. A clear sign change is observed around the ρ mass that appears in model calculations and is indicative of the dependence of the produced pions on the helicity of the fragmenting quark.
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Affiliation(s)
- T B Hayward
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - C Dilks
- Duke University, Durham, North Carolina 27708-0305, USA
| | - A Vossen
- Duke University, Durham, North Carolina 27708-0305, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Adhikari
- Florida International University, Miami, Florida 33199, USA
| | - G Angelini
- The George Washington University, Washington, D.C. 20052, USA
| | - M Arratia
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- University of California, Riverside, Riverside, California 92521, USA
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - C Ayerbe Gayoso
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - N A Baltzell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Barion
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - M Battaglieri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - I Bedlinskiy
- National Research Centre Kurchatov Institute-ITEP, Moscow 117259, Russia
| | - F Benmokhtar
- Duquesne University, 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, USA
| | - A Bianconi
- Università degli Studi di Brescia, 25123 Brescia, Italy
- INFN, Sezione di Pavia, 27100 Pavia, Italy
| | - A S Biselli
- Fairfield University, Fairfield, Connecticut 06824, USA
| | - M Bondì
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - F Bossù
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - S Boiarinov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W J Briscoe
- The George Washington University, Washington, D.C. 20052, USA
| | - W K Brooks
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J C Carvajal
- Florida International University, Miami, Florida 33199, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - P Chatagnon
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - T Chetry
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
- Ohio University, Athens, Ohio 45701, USA
| | - G Ciullo
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
- Università di Ferrara, 44121 Ferrara, Italy
| | - B A Clary
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - P L Cole
- Lamar University, 4400 MLK Boulevard, P.O. Box 10046, Beaumont, Texas 77710, USA
| | | | - G Costantini
- Università degli Studi di Brescia, 25123 Brescia, Italy
- INFN, Sezione di Pavia, 27100 Pavia, Italy
| | - V Crede
- Florida State University, Tallahassee, Florida 32306, USA
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Università di Roma Tor Vergata, 00133 Rome, Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - M Defurne
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Diehl
- University of Connecticut, Storrs, Connecticut 06269, USA
- II. Physikalisches Institut der Universität Gießen, 35392 Gießen, Germany
| | - C Djalali
- Ohio University, Athens, Ohio 45701, USA
| | - R Dupre
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M Dugger
- Arizona State University, Tempe, Arizona 85287, USA
| | - H Egiyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Ehrhart
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - A El Alaoui
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L El Fassi
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - L Elouadrhiri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Fegan
- University of York, York YO10 5DD, United Kingdom
| | - A Filippi
- INFN, Sezione di Torino, 10125 Torino, Italy
| | - T A Forest
- Idaho State University, Pocatello, Idaho 83209, USA
| | - G Gavalian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - F X Girod
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D I Glazier
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - A A Golubenko
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - Y Gotra
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - M Guidal
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - M Hattawy
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - K Hicks
- Ohio University, Athens, Ohio 45701, USA
| | - A Hobart
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - H S Jo
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - K Joo
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - S Joosten
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - D Keller
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - M Khachatryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Khanal
- Florida International University, Miami, Florida 33199, USA
| | - A Kim
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - A Kripko
- II. Physikalisches Institut der Universität Gießen, 35392 Gießen, Germany
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S E Kuhn
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Lanza
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - M Leali
- Università degli Studi di Brescia, 25123 Brescia, Italy
- INFN, Sezione di Pavia, 27100 Pavia, Italy
| | - S Lee
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - P Lenisa
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
- Università di Ferrara, 44121 Ferrara, Italy
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | | | - D Marchand
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - N Markov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - L Marsicano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - V Mascagna
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi dell'Insubria, 22100 Como, Italy
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Z E Meziani
- Temple University, Philadelphia, Pennsylvania 19122, USA
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - M Mirazita
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - V Mokeev
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Movsisyan
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - C Munoz Camacho
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Naidoo
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - S Nanda
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - K Neupane
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Niccolai
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - T R O'Connell
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - M Paolone
- Temple University, Philadelphia, Pennsylvania 19122, USA
- New Mexico State University, P.O. Box 30001, Las Cruces, New Mexico 88003, USA
| | - L L Pappalardo
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
- Università di Ferrara, 44121 Ferrara, Italy
| | - R Paremuzyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - E Pasyuk
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W Phelps
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - O Pogorelko
- National Research Centre Kurchatov Institute-ITEP, Moscow 117259, Russia
| | - Y Prok
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - B A Raue
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Florida International University, Miami, Florida 33199, USA
| | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - J Ritman
- Institute fur Kernphysik (Juelich), Juelich 52428, Germany
| | - A Rizzo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Università di Roma Tor Vergata, 00133 Rome, Italy
| | - P Rossi
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - J Rowley
- Ohio University, Athens, Ohio 45701, USA
| | - F Sabatié
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - A Schmidt
- The George Washington University, Washington, D.C. 20052, USA
| | - E P Segarra
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - U Shrestha
- Ohio University, Athens, Ohio 45701, USA
| | - D Sokhan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - O Soto
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Stepanyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I I Strakovsky
- The George Washington University, Washington, D.C. 20052, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - A Thornton
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - N Tyler
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - R Tyson
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - M Ungaro
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Venturelli
- Università degli Studi di Brescia, 25123 Brescia, Italy
- INFN, Sezione di Pavia, 27100 Pavia, Italy
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - E Voutier
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D P Watts
- University of York, York YO10 5DD, United Kingdom
| | - K Wei
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M H Wood
- Canisius College, Buffalo, New York 14208-1098, USA
| | - B Yale
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - N Zachariou
- University of York, York YO10 5DD, United Kingdom
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22901, USA
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Movsisyan A, Burns J, Biallas R, Coenen M, Geffert K, Horstick O, Klerings I, Pfadenhauer LM, von Philipsborn P, Sell K, Strahwald B, Stratil JM, Voss S, Rehfuess E. Travel-related control measures to contain the COVID-19 pandemic: an evidence map. BMJ Open 2021; 11:e041619. [PMID: 33837093 PMCID: PMC8042592 DOI: 10.1136/bmjopen-2020-041619] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 11/09/2020] [Accepted: 03/03/2021] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVES To comprehensively map the existing evidence assessing the impact of travel-related control measures for containment of the SARS-CoV-2/COVID-19 pandemic. DESIGN Rapid evidence map. DATA SOURCES MEDLINE, Embase and Web of Science, and COVID-19 specific databases offered by the US Centers for Disease Control and Prevention and the WHO. ELIGIBILITY CRITERIA We included studies in human populations susceptible to SARS-CoV-2/COVID-19, SARS-CoV-1/severe acute respiratory syndrome, Middle East respiratory syndrome coronavirus/Middle East respiratory syndrome or influenza. Interventions of interest were travel-related control measures affecting travel across national or subnational borders. Outcomes of interest included infectious disease, screening, other health, economic and social outcomes. We considered all empirical studies that quantitatively evaluate impact available in Armenian, English, French, German, Italian and Russian based on the team's language capacities. DATA EXTRACTION AND SYNTHESIS We extracted data from included studies in a standardised manner and mapped them to a priori and (one) post hoc defined categories. RESULTS We included 122 studies assessing travel-related control measures. These studies were undertaken across the globe, most in the Western Pacific region (n=71). A large proportion of studies focused on COVID-19 (n=59), but a number of studies also examined SARS, MERS and influenza. We identified studies on border closures (n=3), entry/exit screening (n=31), travel-related quarantine (n=6), travel bans (n=8) and travel restrictions (n=25). Many addressed a bundle of travel-related control measures (n=49). Most studies assessed infectious disease (n=98) and/or screening-related (n=25) outcomes; we found only limited evidence on economic and social outcomes. Studies applied numerous methods, both inferential and descriptive in nature, ranging from simple observational methods to complex modelling techniques. CONCLUSIONS We identified a heterogeneous and complex evidence base on travel-related control measures. While this map is not sufficient to assess the effectiveness of different measures, it outlines aspects regarding interventions and outcomes, as well as study methodology and reporting that could inform future research and evidence synthesis.
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Affiliation(s)
- Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany
| | - Jacob Burns
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany
| | - Renke Biallas
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany
| | - Michaela Coenen
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany
| | - Karin Geffert
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany
| | - Olaf Horstick
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Irma Klerings
- Department for Evidence-based Medicine and Evaluation, Danube University Krems, Krems, Austria
| | - Lisa Maria Pfadenhauer
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany
| | - Peter von Philipsborn
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany
| | - Kerstin Sell
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany
| | - Brigitte Strahwald
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany
| | - Jan M Stratil
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany
| | - Stephan Voss
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany
| | - Eva Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany
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22
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Burns J, Movsisyan A, Stratil JM, Biallas RL, Coenen M, Emmert-Fees KM, Geffert K, Hoffmann S, Horstick O, Laxy M, Klinger C, Kratzer S, Litwin T, Norris S, Pfadenhauer LM, von Philipsborn P, Sell K, Stadelmaier J, Verboom B, Voss S, Wabnitz K, Rehfuess E. International travel-related control measures to contain the COVID-19 pandemic: a rapid review. Cochrane Database Syst Rev 2021; 3:CD013717. [PMID: 33763851 PMCID: PMC8406796 DOI: 10.1002/14651858.cd013717.pub2] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND In late 2019, the first cases of coronavirus disease 2019 (COVID-19) were reported in Wuhan, China, followed by a worldwide spread. Numerous countries have implemented control measures related to international travel, including border closures, travel restrictions, screening at borders, and quarantine of travellers. OBJECTIVES To assess the effectiveness of international travel-related control measures during the COVID-19 pandemic on infectious disease transmission and screening-related outcomes. SEARCH METHODS We searched MEDLINE, Embase and COVID-19-specific databases, including the Cochrane COVID-19 Study Register and the WHO Global Database on COVID-19 Research to 13 November 2020. SELECTION CRITERIA We considered experimental, quasi-experimental, observational and modelling studies assessing the effects of travel-related control measures affecting human travel across international borders during the COVID-19 pandemic. In the original review, we also considered evidence on severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS). In this version we decided to focus on COVID-19 evidence only. Primary outcome categories were (i) cases avoided, (ii) cases detected, and (iii) a shift in epidemic development. Secondary outcomes were other infectious disease transmission outcomes, healthcare utilisation, resource requirements and adverse effects if identified in studies assessing at least one primary outcome. DATA COLLECTION AND ANALYSIS Two review authors independently screened titles and abstracts and subsequently full texts. For studies included in the analysis, one review author extracted data and appraised the study. At least one additional review author checked for correctness of data. To assess the risk of bias and quality of included studies, we used the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool for observational studies concerned with screening, and a bespoke tool for modelling studies. We synthesised findings narratively. One review author assessed the certainty of evidence with GRADE, and several review authors discussed these GRADE judgements. MAIN RESULTS Overall, we included 62 unique studies in the analysis; 49 were modelling studies and 13 were observational studies. Studies covered a variety of settings and levels of community transmission. Most studies compared travel-related control measures against a counterfactual scenario in which the measure was not implemented. However, some modelling studies described additional comparator scenarios, such as different levels of stringency of the measures (including relaxation of restrictions), or a combination of measures. Concerns with the quality of modelling studies related to potentially inappropriate assumptions about the structure and input parameters, and an inadequate assessment of model uncertainty. Concerns with risk of bias in observational studies related to the selection of travellers and the reference test, and unclear reporting of certain methodological aspects. Below we outline the results for each intervention category by illustrating the findings from selected outcomes. Travel restrictions reducing or stopping cross-border travel (31 modelling studies) The studies assessed cases avoided and shift in epidemic development. We found very low-certainty evidence for a reduction in COVID-19 cases in the community (13 studies) and cases exported or imported (9 studies). Most studies reported positive effects, with effect sizes varying widely; only a few studies showed no effect. There was very low-certainty evidence that cross-border travel controls can slow the spread of COVID-19. Most studies predicted positive effects, however, results from individual studies varied from a delay of less than one day to a delay of 85 days; very few studies predicted no effect of the measure. Screening at borders (13 modelling studies; 13 observational studies) Screening measures covered symptom/exposure-based screening or test-based screening (commonly specifying polymerase chain reaction (PCR) testing), or both, before departure or upon or within a few days of arrival. Studies assessed cases avoided, shift in epidemic development and cases detected. Studies generally predicted or observed some benefit from screening at borders, however these varied widely. For symptom/exposure-based screening, one modelling study reported that global implementation of screening measures would reduce the number of cases exported per day from another country by 82% (95% confidence interval (CI) 72% to 95%) (moderate-certainty evidence). Four modelling studies predicted delays in epidemic development, although there was wide variation in the results between the studies (very low-certainty evidence). Four modelling studies predicted that the proportion of cases detected would range from 1% to 53% (very low-certainty evidence). Nine observational studies observed the detected proportion to range from 0% to 100% (very low-certainty evidence), although all but one study observed this proportion to be less than 54%. For test-based screening, one modelling study provided very low-certainty evidence for the number of cases avoided. It reported that testing travellers reduced imported or exported cases as well as secondary cases. Five observational studies observed that the proportion of cases detected varied from 58% to 90% (very low-certainty evidence). Quarantine (12 modelling studies) The studies assessed cases avoided, shift in epidemic development and cases detected. All studies suggested some benefit of quarantine, however the magnitude of the effect ranged from small to large across the different outcomes (very low- to low-certainty evidence). Three modelling studies predicted that the reduction in the number of cases in the community ranged from 450 to over 64,000 fewer cases (very low-certainty evidence). The variation in effect was possibly related to the duration of quarantine and compliance. Quarantine and screening at borders (7 modelling studies; 4 observational studies) The studies assessed shift in epidemic development and cases detected. Most studies predicted positive effects for the combined measures with varying magnitudes (very low- to low-certainty evidence). Four observational studies observed that the proportion of cases detected for quarantine and screening at borders ranged from 68% to 92% (low-certainty evidence). The variation may depend on how the measures were combined, including the length of the quarantine period and days when the test was conducted in quarantine. AUTHORS' CONCLUSIONS With much of the evidence derived from modelling studies, notably for travel restrictions reducing or stopping cross-border travel and quarantine of travellers, there is a lack of 'real-world' evidence. The certainty of the evidence for most travel-related control measures and outcomes is very low and the true effects are likely to be substantially different from those reported here. Broadly, travel restrictions may limit the spread of disease across national borders. Symptom/exposure-based screening measures at borders on their own are likely not effective; PCR testing at borders as a screening measure likely detects more cases than symptom/exposure-based screening at borders, although if performed only upon arrival this will likely also miss a meaningful proportion of cases. Quarantine, based on a sufficiently long quarantine period and high compliance is likely to largely avoid further transmission from travellers. Combining quarantine with PCR testing at borders will likely improve effectiveness. Many studies suggest that effects depend on factors, such as levels of community transmission, travel volumes and duration, other public health measures in place, and the exact specification and timing of the measure. Future research should be better reported, employ a range of designs beyond modelling and assess potential benefits and harms of the travel-related control measures from a societal perspective.
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Affiliation(s)
- Jacob Burns
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Jan M Stratil
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Renke Lars Biallas
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Michaela Coenen
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Karl Mf Emmert-Fees
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, Munich, Germany
| | - Karin Geffert
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Sabine Hoffmann
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Olaf Horstick
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Michael Laxy
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, Munich, Germany
- Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Carmen Klinger
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Suzie Kratzer
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Tim Litwin
- Institute for Medical Biometry and Statistics (IMBI), Freiburg Center for Data Analysis and Modeling (FDM), Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Susan Norris
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
- Oregon Health & Science University, Portland, OR, USA
| | - Lisa M Pfadenhauer
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Peter von Philipsborn
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Kerstin Sell
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Julia Stadelmaier
- Institute for Evidence in Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ben Verboom
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Stephan Voss
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Katharina Wabnitz
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Eva Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
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Wolfenden L, Movsisyan A, McCrabb S, Stratil JM, Yoong SL. Selecting Review Outcomes for Systematic Reviews of Public Health Interventions. Am J Public Health 2021; 111:465-470. [PMID: 33476230 PMCID: PMC7893343 DOI: 10.2105/ajph.2020.306061] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/12/2020] [Indexed: 11/04/2022]
Abstract
For systematic reviews to have an impact on public health, they must report outcomes that are important for decision-making. Systematic reviews of public health interventions, however, have a range of potential end users, and identifying and prioritizing the most important and relevant outcomes represents a considerable challenge.In this commentary, we describe potentially useful approaches that systematic review teams can use to identify review outcomes to best inform public health decision-making. Specifically, we discuss the importance of stakeholder engagement, the use of logic models, consideration of core outcome sets, reviews of the literature on end users' needs and preferences, and the use of decision-making frameworks in the selection and prioritization of outcomes included in reviews.The selection of review outcomes is a critical step in the production of public health reviews that are relevant to those who use them. Utilizing the suggested strategies may help the review teams better achieve this.
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Affiliation(s)
- Luke Wolfenden
- Luke Wolfenden and Sam McCrabb are with the School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia. Ani Movsisyan and Jan M. Stratil are with the Institute for Medical Information Processing, Biometry and Epidemiology and the Pettenkofer School of Public Health, Ludwig Maximilian University of Munich, Munich, Germany. Sze Lin Yoong is with the Faculty of Health, Arts and Design, Swinburne University of Technology, Melbourne, Australia
| | - Ani Movsisyan
- Luke Wolfenden and Sam McCrabb are with the School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia. Ani Movsisyan and Jan M. Stratil are with the Institute for Medical Information Processing, Biometry and Epidemiology and the Pettenkofer School of Public Health, Ludwig Maximilian University of Munich, Munich, Germany. Sze Lin Yoong is with the Faculty of Health, Arts and Design, Swinburne University of Technology, Melbourne, Australia
| | - Sam McCrabb
- Luke Wolfenden and Sam McCrabb are with the School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia. Ani Movsisyan and Jan M. Stratil are with the Institute for Medical Information Processing, Biometry and Epidemiology and the Pettenkofer School of Public Health, Ludwig Maximilian University of Munich, Munich, Germany. Sze Lin Yoong is with the Faculty of Health, Arts and Design, Swinburne University of Technology, Melbourne, Australia
| | - Jan M Stratil
- Luke Wolfenden and Sam McCrabb are with the School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia. Ani Movsisyan and Jan M. Stratil are with the Institute for Medical Information Processing, Biometry and Epidemiology and the Pettenkofer School of Public Health, Ludwig Maximilian University of Munich, Munich, Germany. Sze Lin Yoong is with the Faculty of Health, Arts and Design, Swinburne University of Technology, Melbourne, Australia
| | - Sze Lin Yoong
- Luke Wolfenden and Sam McCrabb are with the School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia. Ani Movsisyan and Jan M. Stratil are with the Institute for Medical Information Processing, Biometry and Epidemiology and the Pettenkofer School of Public Health, Ludwig Maximilian University of Munich, Munich, Germany. Sze Lin Yoong is with the Faculty of Health, Arts and Design, Swinburne University of Technology, Melbourne, Australia
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Boldt K, Coenen M, Movsisyan A, Voss S, Rehfuess E, Kunzler AM, Lieb K, Jung-Sievers C. Interventions to Ameliorate the Psychosocial Effects of the COVID-19 Pandemic on Children-A Systematic Review. Int J Environ Res Public Health 2021; 18:2361. [PMID: 33670974 PMCID: PMC7967755 DOI: 10.3390/ijerph18052361] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 02/16/2021] [Accepted: 02/23/2021] [Indexed: 01/01/2023]
Abstract
The aim of this study was to identify interventions targeting children and their caregivers to reduce psychosocial problems in the course of the COVID-19 pandemic and comparable outbreaks. The review was performed using systematic literature searches in MEDLINE, Embase, PsycINFO and COVID-19-specific databases, including the CDC COVID-19 Research Database, the World Health Organisation (WHO) Global Database on COVID-19 Research and the Cochrane COVID-19 Study Register, ClinicalTrials.gov, the EU Clinical Trials Register and the German Clinical Trials Register (DRKS) up to 25th September 2020. The search yielded 6657 unique citations. After title/abstract and full text screening, 11 study protocols reporting on trials planned in China, the US, Canada, the UK, and Hungary during the COVID-19 pandemic were included. Four interventions targeted children ≥10 years directly, seven system-based interventions targeted the parents and caregivers of younger children and adolescents. Outcome measures encompassed mainly anxiety and depressive symptoms, different dimensions of stress or psychosocial well-being, and quality of supportive relationships. In conclusion, this systematic review revealed a paucity of studies on psychosocial interventions for children during the COVID-19 pandemic. Further research should be encouraged in light of the expected demand for child mental health management.
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Affiliation(s)
- Katharina Boldt
- Institute for Medical Information Processing, Biometry and Epidemiology—IBE, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany; (K.B.); (M.C.); (A.M.); (S.V.); (E.R.)
- Pettenkofer School of Public Health, 81377 Munich, Germany
| | - Michaela Coenen
- Institute for Medical Information Processing, Biometry and Epidemiology—IBE, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany; (K.B.); (M.C.); (A.M.); (S.V.); (E.R.)
- Pettenkofer School of Public Health, 81377 Munich, Germany
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology—IBE, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany; (K.B.); (M.C.); (A.M.); (S.V.); (E.R.)
- Pettenkofer School of Public Health, 81377 Munich, Germany
| | - Stephan Voss
- Institute for Medical Information Processing, Biometry and Epidemiology—IBE, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany; (K.B.); (M.C.); (A.M.); (S.V.); (E.R.)
- Pettenkofer School of Public Health, 81377 Munich, Germany
| | - Eva Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology—IBE, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany; (K.B.); (M.C.); (A.M.); (S.V.); (E.R.)
- Pettenkofer School of Public Health, 81377 Munich, Germany
| | - Angela M. Kunzler
- Department of Psychiatry and Psychotherapy, University Medical Center, 55131 Mainz, Germany; (A.M.K.); (K.L.)
- Leibniz Institute for Resilience Research (LIR), 55122 Mainz, Germany
| | - Klaus Lieb
- Department of Psychiatry and Psychotherapy, University Medical Center, 55131 Mainz, Germany; (A.M.K.); (K.L.)
- Leibniz Institute for Resilience Research (LIR), 55122 Mainz, Germany
| | - Caroline Jung-Sievers
- Institute for Medical Information Processing, Biometry and Epidemiology—IBE, Chair of Public Health and Health Services Research, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany; (K.B.); (M.C.); (A.M.); (S.V.); (E.R.)
- Pettenkofer School of Public Health, 81377 Munich, Germany
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Carver M, Celentano A, Hicks K, Marsicano L, Mathieu V, Pilloni A, Adhikari KP, Adhikari S, Amaryan MJ, Angelini G, Atac H, Baltzell NA, Barion L, Battaglieri M, Bedlinskiy I, Benmokhtar F, Bianconi A, Biselli AS, Bondi M, Bossù F, Boiarinov S, Briscoe WJ, Brooks WK, Bulumulla D, Burkert VD, Carman DS, Carvajal JC, Chatagnon P, Chetry T, Ciullo G, Clark L, Clary BA, Cole PL, Contalbrigo M, Crede V, D'Angelo A, Dashyan N, De Vita R, Defurne M, Deur A, Diehl S, Djalali C, Dugger M, Dupre R, Egiyan H, Ehrhart M, Alaoui AE, Fassi LE, Eugenio P, Fedotov G, Fegan S, Filippi A, Gavalian G, Gevorgyan N, Gilfoyle GP, Girod FX, Gothe RW, Griffioen KA, Hafidi K, Hakobyan H, Hattawy M, Hayward TB, Heddle D, Holtrop M, Huang Q, Hyde CE, Ilieva Y, Ireland DG, Isupov EL, Jenkins D, Jo HS, Joo K, Joosten S, Keller D, Khanal A, Khandaker M, Kim A, Kim CW, Klein FJ, Kripko A, Kubarovsky V, Lanza L, Leali M, Lenisa P, Livingston K, MacGregor IJD, Marchand D, Mascagna V, McCracken ME, McKinnon B, Meziani ZE, Mokeev V, Movsisyan A, Munevar E, Camacho CM, Nadel-Turonski P, Neupane K, Niccolai S, Niculescu G, Osipenko M, Ostrovidov AI, Paolone M, Pappalardo LL, Paremuzyan R, Pasyuk E, Phelps W, Pogorelko O, Prok Y, Protopopescu D, Ripani M, Ritchie BG, Ritman J, Rizzo A, Rosner G, Rowley J, Sabatié F, Salgado C, Schmidt A, Schumacher RA, Sharabian YG, Shrestha U, Sokhan D, Soto O, Sparveris N, Stepanyan S, Strakovsky II, Strauch S, Tyler N, Tyson R, Ungaro M, Venturelli L, Voskanyan H, Voutier E, Watts DP, Wei K, Wei X, Yale B, Zachariou N, Zhang J, Zhao ZW. Photoproduction of the f_{2}(1270) Meson Using the CLAS Detector. Phys Rev Lett 2021; 126:082002. [PMID: 33709753 DOI: 10.1103/physrevlett.126.082002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 01/08/2021] [Accepted: 02/04/2021] [Indexed: 06/12/2023]
Abstract
The quark structure of the f_{2}(1270) meson has, for many years, been assumed to be a pure quark-antiquark (qq[over ¯]) resonance with quantum numbers J^{PC}=2^{++}. Recently, it was proposed that the f_{2}(1270) is a molecular state made from the attractive interaction of two ρ mesons. Such a state would be expected to decay strongly to final states with charged pions due to the dominant decay ρ→π^{+}π^{-}, whereas decay to two neutral pions would likely be suppressed. Here, we measure for the first time the reaction γp→π^{0}π^{0}p, using the CEBAF Large Acceptance Spectrometer detector at Jefferson Lab for incident beam energies between 3.6 and 5.4 GeV. Differential cross sections, dσ/dt, for f_{2}(1270) photoproduction are extracted with good precision due to low backgrounds and are compared to theoretical calculations.
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Affiliation(s)
- M Carver
- Ohio University, Athens, Ohio 45701, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - K Hicks
- Ohio University, Athens, Ohio 45701, USA
| | - L Marsicano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - V Mathieu
- Departamento de Fsica Terica and IPARCOS, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - A Pilloni
- INFN, Sezione di Genova, 16146 Genova, Italy
- European Centre for Theoretical Studies in Nuclear Physics and Related Areas (ECT*) and Fondazione Bruno Kessler, Strada delle Tavarnelle 286, Villazzano (Trento) I-38123, Italy
- INFN, Sezione di Roma, 00185 Roma, Italy
| | - K P Adhikari
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - S Adhikari
- Florida International University, Miami, Florida 33199, USA
| | - M J Amaryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - G Angelini
- The George Washington University, Washington, D.C. 20052, USA
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - N A Baltzell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - L Barion
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - M Battaglieri
- INFN, Sezione di Genova, 16146 Genova, Italy
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I Bedlinskiy
- National Research Centre Kurchatov Institute-ITEP, Moscow, 117259, Russia
| | - F Benmokhtar
- Duquesne University, 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, USA
| | - A Bianconi
- Università degli Studi di Brescia, 25123 Brescia, Italy
- INFN, Sezione di Pavia, 27100 Pavia, Italy
| | - A S Biselli
- Fairfield University, Fairfield, Connecticut 06824, USA
| | - M Bondi
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - F Bossù
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - S Boiarinov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W J Briscoe
- The George Washington University, Washington, D.C. 20052, USA
| | - W K Brooks
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J C Carvajal
- Florida International University, Miami, Florida 33199, USA
| | - P Chatagnon
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - T Chetry
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - G Ciullo
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
- Universita' di Ferrara, 44121 Ferrara, Italy
| | - L Clark
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - B A Clary
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - P L Cole
- Lamar University, 4400 MLK Boulevard, PO Box 10046, Beaumont, Texas 77710, USA
- Idaho State University, Pocatello, Idaho 83209, USA
| | | | - V Crede
- Florida State University, Tallahassee, Florida 32306 USA
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Universita' di Roma Tor Vergata, 00133 Rome, Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - M Defurne
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Diehl
- University of Connecticut, Storrs, Connecticut 06269, USA
- II Physikalisches Institut der Universitaet Giessen 35392, Germany
| | - C Djalali
- Ohio University, Athens, Ohio 45701, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Dugger
- Arizona State University, Tempe, Arizona 85287-1504, USA
| | - R Dupre
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - H Egiyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - M Ehrhart
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - A El Alaoui
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L El Fassi
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - P Eugenio
- Florida State University, Tallahassee, Florida 32306 USA
| | - G Fedotov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - S Fegan
- University of York, York YO10 5DD, United Kingdom
| | - A Filippi
- INFN, Sezione di Torino, 10125 Torino, Italy
| | - G Gavalian
- Old Dominion University, Norfolk, Virginia 23529, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N Gevorgyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - F X Girod
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - M Hattawy
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - T B Hayward
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - D Heddle
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - Q Huang
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - C E Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - Y Ilieva
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - D Jenkins
- Virginia Tech, Blacksburg, Virginia 24061-0435, USA
| | - H S Jo
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - K Joo
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - S Joosten
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - D Keller
- Ohio University, Athens, Ohio 45701, USA
- University of Virginia, Charlottesville, Virginia 22901j, USA
| | - A Khanal
- Florida International University, Miami, Florida 33199, USA
| | - M Khandaker
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - A Kim
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C W Kim
- The George Washington University, Washington, D.C. 20052, USA
| | - F J Klein
- Catholic University of America, Washington, D.C. 20064, USA
| | - A Kripko
- II Physikalisches Institut der Universitaet Giessen 35392, Germany
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Lanza
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - M Leali
- Università degli Studi di Brescia, 25123 Brescia, Italy
- INFN, Sezione di Pavia, 27100 Pavia, Italy
| | - P Lenisa
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
- Universita' di Ferrara, 44121 Ferrara, Italy
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | | | - D Marchand
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - V Mascagna
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi dell'Insubria, 22100 Como, Italy
| | - M E McCracken
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Z E Meziani
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - V Mokeev
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - A Movsisyan
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - E Munevar
- The George Washington University, Washington, D.C. 20052, USA
| | - C Munoz Camacho
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Catholic University of America, Washington, D.C. 20064, USA
| | - K Neupane
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Niccolai
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A I Ostrovidov
- Florida State University, Tallahassee, Florida 32306 USA
| | - M Paolone
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - L L Pappalardo
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
- Universita' di Ferrara, 44121 Ferrara, Italy
| | - R Paremuzyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Pasyuk
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W Phelps
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - O Pogorelko
- National Research Centre Kurchatov Institute-ITEP, Moscow, 117259, Russia
| | - Y Prok
- Old Dominion University, Norfolk, Virginia 23529, USA
- University of Virginia, Charlottesville, Virginia 22901j, USA
| | | | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - B G Ritchie
- Arizona State University, Tempe, Arizona 85287-1504, USA
| | - J Ritman
- Institute fur Kernphysik (Juelich), Juelich, Germany
| | - A Rizzo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Universita' di Roma Tor Vergata, 00133 Rome, Italy
| | - G Rosner
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - J Rowley
- Ohio University, Athens, Ohio 45701, USA
| | - F Sabatié
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - A Schmidt
- The George Washington University, Washington, D.C. 20052, USA
| | - R A Schumacher
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - U Shrestha
- Ohio University, Athens, Ohio 45701, USA
| | - D Sokhan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - O Soto
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Stepanyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I I Strakovsky
- The George Washington University, Washington, D.C. 20052, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - N Tyler
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - R Tyson
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - M Ungaro
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - L Venturelli
- Università degli Studi di Brescia, 25123 Brescia, Italy
- INFN, Sezione di Pavia, 27100 Pavia, Italy
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - E Voutier
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D P Watts
- University of York, York YO10 5DD, United Kingdom
| | - K Wei
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Yale
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - N Zachariou
- University of York, York YO10 5DD, United Kingdom
| | - J Zhang
- Old Dominion University, Norfolk, Virginia 23529, USA
- University of Virginia, Charlottesville, Virginia 22901j, USA
| | - Z W Zhao
- University of South Carolina, Columbia, South Carolina 29208, USA
- Duke University, Durham, North Carolina 27708-0305, USA
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Movsisyan A, Arnold L, Copeland L, Evans R, Littlecott H, Moore G, O’Cathain A, Pfadenhauer L, Segrott J, Rehfuess E. Adapting evidence-informed population health interventions for new contexts: a scoping review of current practice. Health Res Policy Syst 2021; 19:13. [PMID: 33546707 PMCID: PMC7863549 DOI: 10.1186/s12961-020-00668-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 12/06/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Implementing evidence-informed population health interventions in new contexts often requires adaptations. While the need to adapt interventions to better fit new contexts is recognised, uncertainties remain regarding why and when to adapt (or not), and how to assess the benefits (or not) of adaptation. The ADAPT Study aims to develop comprehensive guidance on adaptation. This scoping review informs guidance development by mapping and exploring how adaptation has been undertaken in practice, in public health and health services research. METHODS We searched seven databases from January 2000 and October 2018 to identify eligible studies for this scoping review and a related systematic review of adaptation guidance. We mapped the studies of adaptation by coding data from all eligible studies describing the methods, contexts, and interventions considered for adaptation. From this map, we selected a sample of studies for in-depth examination. Two reviewers extracted data independently into seven categories: description, key concepts, types, rationale, processes, evaluation methods, evaluation justification, and accounts of failures and successes. RESULTS We retrieved 6694 unique records. From 429 records screened at full text, we identified 298 eligible studies for mapping and selected 28 studies for in-depth examination. The majority of studies in our map focused on micro- (i.e., individual-) level interventions (84%), related to transferring an intervention to a new population group within the same country (62%) and did not report using guidance (73%). Studies covered a range of topic areas, including health behaviour (24%), mental health (19%), sexual health (16%), and parenting and family-centred interventions (15%). Our in-depth analysis showed that adaptation is seen to save costs and time relative to developing a new intervention, and to enhance contextual relevance and cultural compatibility. It commonly follows a structured process and involves stakeholders to help with decisions on what to adapt, when, and how. CONCLUSIONS Adaptation has been undertaken on a range of health topics and largely in line with existing guidance. Significant gaps relate to adaptation of macro- (e.g., national-) level interventions, consideration of programme theories, mechanisms and contexts (i.e., a functional view of interventions), nuances around stakeholder involvement, and evaluation of the adapted interventions. Registration Open Science Framework, 2019, osf.io/udzma.
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Affiliation(s)
- A. Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
| | - L. Arnold
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
| | - L. Copeland
- Centre for Development, Evaluation, Complexity and Implementation in Public Health Improvement (DECIPHer), School of Social Sciences, Cardiff University, 1-3 Museum Place, Cardiff, CF10 3BD Wales UK
| | - R. Evans
- Centre for Development, Evaluation, Complexity and Implementation in Public Health Improvement (DECIPHer), School of Social Sciences, Cardiff University, 1-3 Museum Place, Cardiff, CF10 3BD Wales UK
| | - H. Littlecott
- Centre for Development, Evaluation, Complexity and Implementation in Public Health Improvement (DECIPHer), School of Social Sciences, Cardiff University, 1-3 Museum Place, Cardiff, CF10 3BD Wales UK
| | - G. Moore
- Centre for Development, Evaluation, Complexity and Implementation in Public Health Improvement (DECIPHer), School of Social Sciences, Cardiff University, 1-3 Museum Place, Cardiff, CF10 3BD Wales UK
| | - A. O’Cathain
- School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA UK
| | - L. Pfadenhauer
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
| | - J. Segrott
- Centre for Development, Evaluation, Complexity and Implementation in Public Health Improvement (DECIPHer), School of Social Sciences, Cardiff University, 1-3 Museum Place, Cardiff, CF10 3BD Wales UK
- Centre for Trials Research, Cardiff University, 4th floor Neuadd Meirionnydd, Heath Park, Cardiff, CF14 4YS Wales UK
| | - E. Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
- Pettenkofer School of Public Health, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany
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Krishnaratne S, Pfadenhauer LM, Coenen M, Geffert K, Jung-Sievers C, Klinger C, Kratzer S, Littlecott H, Movsisyan A, Rabe JE, Rehfuess E, Sell K, Strahwald B, Stratil JM, Voss S, Wabnitz K, Burns J. Measures implemented in the school setting to contain the COVID-19 pandemic: a scoping review. Cochrane Database Syst Rev 2020; 12:CD013812. [PMID: 33331665 PMCID: PMC9206727 DOI: 10.1002/14651858.cd013812] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
BACKGROUND In response to the spread of SARS-CoV-2 and the impact of COVID-19, national and subnational governments implemented a variety of measures in order to control the spread of the virus and the associated disease. While these measures were imposed with the intention of controlling the pandemic, they were also associated with severe psychosocial, societal, and economic implications on a societal level. One setting affected heavily by these measures is the school setting. By mid-April 2020, 192 countries had closed schools, affecting more than 90% of the world's student population. In consideration of the adverse consequences of school closures, many countries around the world reopened their schools in the months after the initial closures. To safely reopen schools and keep them open, governments implemented a broad range of measures. The evidence with regards to these measures, however, is heterogeneous, with a multitude of study designs, populations, settings, interventions and outcomes being assessed. To make sense of this heterogeneity, we conducted a rapid scoping review (8 October to 5 November 2020). This rapid scoping review is intended to serve as a precursor to a systematic review of effectiveness, which will inform guidelines issued by the World Health Organization (WHO). This review is reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist and was registered with the Open Science Framework. OBJECTIVES To identify and comprehensively map the evidence assessing the impacts of measures implemented in the school setting to reopen schools, or keep schools open, or both, during the SARS-CoV-2/COVID-19 pandemic, with particular focus on the types of measures implemented in different school settings, the outcomes used to measure their impacts and the study types used to assess these. SEARCH METHODS We searched the Cochrane COVID-19 Study Register, MEDLINE, Embase, the CDC COVID-19 Research Articles Downloadable Database for preprints, and the WHO COVID-19 Global literature on coronavirus disease on 8 October 2020. SELECTION CRITERIA We included studies that assessed the impact of measures implemented in the school setting. Eligible populations were populations at risk of becoming infected with SARS-CoV-2, or developing COVID-19 disease, or both, and included people both directly and indirectly impacted by interventions, including students, teachers, other school staff, and contacts of these groups, as well as the broader community. We considered all types of empirical studies, which quantitatively assessed impact including epidemiological studies, modelling studies, mixed-methods studies, and diagnostic studies that assessed the impact of relevant interventions beyond diagnostic test accuracy. Broad outcome categories of interest included infectious disease transmission-related outcomes, other harmful or beneficial health-related outcomes, and societal, economic, and ecological implications. DATA COLLECTION AND ANALYSIS We extracted data from included studies in a standardized manner, and mapped them to categories within our a priori logic model where possible. Where not possible, we inductively developed new categories. In line with standard expectations for scoping reviews, the review provides an overview of the existing evidence regardless of methodological quality or risk of bias, and was not designed to synthesize effectiveness data, assess risk of bias, or characterize strength of evidence (GRADE). MAIN RESULTS We included 42 studies that assessed measures implemented in the school setting. The majority of studies used mathematical modelling designs (n = 31), while nine studies used observational designs, and two studies used experimental or quasi-experimental designs. Studies conducted in real-world contexts or using real data focused on the WHO European region (EUR; n = 20), the WHO region of the Americas (AMR; n = 13), the West Pacific region (WPR; n = 6), and the WHO Eastern Mediterranean Region (EMR; n = 1). One study conducted a global assessment and one did not report on data from, or that were applicable to, a specific country. Three broad intervention categories emerged from the included studies: organizational measures to reduce transmission of SARS-CoV-2 (n = 36), structural/environmental measures to reduce transmission of SARS-CoV-2 (n = 11), and surveillance and response measures to detect SARS-CoV-2 infections (n = 19). Most studies assessed SARS-CoV-2 transmission-related outcomes (n = 29), while others assessed healthcare utilization (n = 8), other health outcomes (n = 3), and societal, economic, and ecological outcomes (n = 5). Studies assessed both harmful and beneficial outcomes across all outcome categories. AUTHORS' CONCLUSIONS We identified a heterogeneous and complex evidence base of measures implemented in the school setting. This review is an important first step in understanding the available evidence and will inform the development of rapid reviews on this topic.
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Affiliation(s)
- Shari Krishnaratne
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
- Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Lisa M Pfadenhauer
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Michaela Coenen
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Karin Geffert
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Caroline Jung-Sievers
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Carmen Klinger
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Suzie Kratzer
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Hannah Littlecott
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
- DECIPHer, School of Social Sciences, Cardiff University, Cardiff, UK
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Julia E Rabe
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Eva Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Kerstin Sell
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Brigitte Strahwald
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Jan M Stratil
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Stephan Voss
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Katharina Wabnitz
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Jacob Burns
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
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von Philipsborn P, Biallas R, Burns J, Drees S, Geffert K, Movsisyan A, Pfadenhauer LM, Sell K, Strahwald B, Stratil JM, Rehfuess E. Adverse effects of non-steroidal anti-inflammatory drugs in patients with viral respiratory infections: rapid systematic review. BMJ Open 2020; 10:e040990. [PMID: 33444207 PMCID: PMC7678345 DOI: 10.1136/bmjopen-2020-040990] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
OBJECTIVES To assess the effects of non-steroidal anti-inflammatory drugs (NSAIDs) in patients with viral respiratory infections on acute severe adverse outcomes, healthcare utilisation, quality of life and long-term survival. DESIGN Rapid systematic review. PARTICIPANTS Humans with viral respiratory infections, exposed to systemic NSAIDs. PRIMARY OUTCOMES Acute severe adverse outcomes, healthcare utilisation, quality of life and long-term survival. RESULTS We screened 10 999 titles and abstracts and 738 full texts, including 87 studies. No studies addressed COVID-19, Severe Acute Respiratory Syndrome or Middle East Respiratory Syndrome; none examined inpatient healthcare utilisation, quality of life or long-term survival. Effects of NSAIDs on mortality and cardiovascular events in adults with viral respiratory infections are unclear (three observational studies; very low certainty). Children with empyema and gastrointestinal bleeding may be more likely to have taken NSAIDs than children without these conditions (two observational studies; very low certainty). In patients aged 3 years and older with acute respiratory infections, ibuprofen is associated with a higher rate of reconsultations with general practitioners than paracetamol (one randomised controlled trial (RCT); low certainty). The difference in death from all causes and hospitalisation for renal failure and anaphylaxis between children with fever receiving ibuprofen versus paracetamol is likely to be less than 1 per 10 000 (1 RCT; moderate/high certainty). Twenty-eight studies in adults and 42 studies in children report adverse event counts. Most report that no severe adverse events occurred. Due to methodological limitations of adverse event counts, this evidence should be interpreted with caution. CONCLUSIONS It is unclear whether the use of NSAIDs increases the risk of severe adverse outcomes in patients with viral respiratory infections. This absence of evidence should not be interpreted as evidence for the absence of such risk. This is a rapid review with a number of limitations. PROSPERO REGISTRATION NUMBER CRD42020176056.
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Affiliation(s)
- Peter von Philipsborn
- Chair of Public Health and Health Services Research in its capacity as a WHO Collaborating Centre for Evidence-Based Public Health, Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig Maximilians University Munich Medical Faculty, Munchen, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Renke Biallas
- Chair of Public Health and Health Services Research in its capacity as a WHO Collaborating Centre for Evidence-Based Public Health, Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig Maximilians University Munich Medical Faculty, Munchen, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Jacob Burns
- Chair of Public Health and Health Services Research in its capacity as a WHO Collaborating Centre for Evidence-Based Public Health, Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig Maximilians University Munich Medical Faculty, Munchen, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Simon Drees
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Karin Geffert
- Chair of Public Health and Health Services Research in its capacity as a WHO Collaborating Centre for Evidence-Based Public Health, Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig Maximilians University Munich Medical Faculty, Munchen, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Ani Movsisyan
- Chair of Public Health and Health Services Research in its capacity as a WHO Collaborating Centre for Evidence-Based Public Health, Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig Maximilians University Munich Medical Faculty, Munchen, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Lisa Maria Pfadenhauer
- Chair of Public Health and Health Services Research in its capacity as a WHO Collaborating Centre for Evidence-Based Public Health, Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig Maximilians University Munich Medical Faculty, Munchen, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Kerstin Sell
- Chair of Public Health and Health Services Research in its capacity as a WHO Collaborating Centre for Evidence-Based Public Health, Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig Maximilians University Munich Medical Faculty, Munchen, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Brigitte Strahwald
- Chair of Public Health and Health Services Research in its capacity as a WHO Collaborating Centre for Evidence-Based Public Health, Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig Maximilians University Munich Medical Faculty, Munchen, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Jan M Stratil
- Chair of Public Health and Health Services Research in its capacity as a WHO Collaborating Centre for Evidence-Based Public Health, Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig Maximilians University Munich Medical Faculty, Munchen, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Eva Rehfuess
- Chair of Public Health and Health Services Research in its capacity as a WHO Collaborating Centre for Evidence-Based Public Health, Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig Maximilians University Munich Medical Faculty, Munchen, Germany
- Pettenkofer School of Public Health, Munich, Germany
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Burns J, Movsisyan A, Stratil JM, Coenen M, Emmert-Fees KM, Geffert K, Hoffmann S, Horstick O, Laxy M, Pfadenhauer LM, von Philipsborn P, Sell K, Voss S, Rehfuess E. Travel-related control measures to contain the COVID-19 pandemic: a rapid review. Cochrane Database Syst Rev 2020; 10:CD013717. [PMID: 33502002 DOI: 10.1002/14651858.cd013717] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND In late 2019, first cases of coronavirus disease 2019, or COVID-19, caused by the novel coronavirus SARS-CoV-2, were reported in Wuhan, China. Subsequently COVID-19 spread rapidly around the world. To contain the ensuing pandemic, numerous countries have implemented control measures related to international travel, including border closures, partial travel restrictions, entry or exit screening, and quarantine of travellers. OBJECTIVES To assess the effectiveness of travel-related control measures during the COVID-19 pandemic on infectious disease and screening-related outcomes. SEARCH METHODS We searched MEDLINE, Embase and COVID-19-specific databases, including the WHO Global Database on COVID-19 Research, the Cochrane COVID-19 Study Register, and the CDC COVID-19 Research Database on 26 June 2020. We also conducted backward-citation searches with existing reviews. SELECTION CRITERIA We considered experimental, quasi-experimental, observational and modelling studies assessing the effects of travel-related control measures affecting human travel across national borders during the COVID-19 pandemic. We also included studies concerned with severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) as indirect evidence. Primary outcomes were cases avoided, cases detected and a shift in epidemic development due to the measures. Secondary outcomes were other infectious disease transmission outcomes, healthcare utilisation, resource requirements and adverse effects if identified in studies assessing at least one primary outcome. DATA COLLECTION AND ANALYSIS One review author screened titles and abstracts; all excluded abstracts were screened in duplicate. Two review authors independently screened full texts. One review author extracted data, assessed risk of bias and appraised study quality. At least one additional review author checked for correctness of all data reported in the 'Risk of bias' assessment, quality appraisal and data synthesis. For assessing the risk of bias and quality of included studies, we used the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool for observational studies concerned with screening, ROBINS-I for observational ecological studies and a bespoke tool for modelling studies. We synthesised findings narratively. One review author assessed certainty of evidence with GRADE, and the review author team discussed ratings. MAIN RESULTS We included 40 records reporting on 36 unique studies. We found 17 modelling studies, 7 observational screening studies and one observational ecological study on COVID-19, four modelling and six observational studies on SARS, and one modelling study on SARS and MERS, covering a variety of settings and epidemic stages. Most studies compared travel-related control measures against a counterfactual scenario in which the intervention measure was not implemented. However, some modelling studies described additional comparator scenarios, such as different levels of travel restrictions, or a combination of measures. There were concerns with the quality of many modelling studies and the risk of bias of observational studies. Many modelling studies used potentially inappropriate assumptions about the structure and input parameters of models, and failed to adequately assess uncertainty. Concerns with observational screening studies commonly related to the reference test and the flow of the screening process. Studies on COVID-19 Travel restrictions reducing cross-border travel Eleven studies employed models to simulate a reduction in travel volume; one observational ecological study assessed travel restrictions in response to the COVID-19 pandemic. Very low-certainty evidence from modelling studies suggests that when implemented at the beginning of the outbreak, cross-border travel restrictions may lead to a reduction in the number of new cases of between 26% to 90% (4 studies), the number of deaths (1 study), the time to outbreak of between 2 and 26 days (2 studies), the risk of outbreak of between 1% to 37% (2 studies), and the effective reproduction number (1 modelling and 1 observational ecological study). Low-certainty evidence from modelling studies suggests a reduction in the number of imported or exported cases of between 70% to 81% (5 studies), and in the growth acceleration of epidemic progression (1 study). Screening at borders with or without quarantine Evidence from three modelling studies of entry and exit symptom screening without quarantine suggests delays in the time to outbreak of between 1 to 183 days (very low-certainty evidence) and a detection rate of infected travellers of between 10% to 53% (low-certainty evidence). Six observational studies of entry and exit screening were conducted in specific settings such as evacuation flights and cruise ship outbreaks. Screening approaches varied but followed a similar structure, involving symptom screening of all individuals at departure or upon arrival, followed by quarantine, and different procedures for observation and PCR testing over a period of at least 14 days. The proportion of cases detected ranged from 0% to 91% (depending on the screening approach), and the positive predictive value ranged from 0% to 100% (very low-certainty evidence). The outcomes, however, should be interpreted in relation to both the screening approach used and the prevalence of infection among the travellers screened; for example, symptom-based screening alone generally performed worse than a combination of symptom-based and PCR screening with subsequent observation during quarantine. Quarantine of travellers Evidence from one modelling study simulating a 14-day quarantine suggests a reduction in the number of cases seeded by imported cases; larger reductions were seen with increasing levels of quarantine compliance ranging from 277 to 19 cases with rates of compliance modelled between 70% to 100% (very low-certainty evidence). AUTHORS' CONCLUSIONS With much of the evidence deriving from modelling studies, notably for travel restrictions reducing cross-border travel and quarantine of travellers, there is a lack of 'real-life' evidence for many of these measures. The certainty of the evidence for most travel-related control measures is very low and the true effects may be substantially different from those reported here. Nevertheless, some travel-related control measures during the COVID-19 pandemic may have a positive impact on infectious disease outcomes. Broadly, travel restrictions may limit the spread of disease across national borders. Entry and exit symptom screening measures on their own are not likely to be effective in detecting a meaningful proportion of cases to prevent seeding new cases within the protected region; combined with subsequent quarantine, observation and PCR testing, the effectiveness is likely to improve. There was insufficient evidence to draw firm conclusions about the effectiveness of travel-related quarantine on its own. Some of the included studies suggest that effects are likely to depend on factors such as the stage of the epidemic, the interconnectedness of countries, local measures undertaken to contain community transmission, and the extent of implementation and adherence.
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Affiliation(s)
- Jacob Burns
- Institute for Medical Information Processing, Biometry and Epidemiology, IBE, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology, IBE, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Jan M Stratil
- Institute for Medical Information Processing, Biometry and Epidemiology, IBE, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Michaela Coenen
- Institute for Medical Information Processing, Biometry and Epidemiology, IBE, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Karl Mf Emmert-Fees
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, Munich, Germany
| | - Karin Geffert
- Institute for Medical Information Processing, Biometry and Epidemiology, IBE, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Sabine Hoffmann
- Institute for Medical Information Processing, Biometry and Epidemiology, IBE, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Olaf Horstick
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Michael Laxy
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, Munich, Germany
| | - Lisa M Pfadenhauer
- Institute for Medical Information Processing, Biometry and Epidemiology, IBE, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Peter von Philipsborn
- Institute for Medical Information Processing, Biometry and Epidemiology, IBE, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Kerstin Sell
- Institute for Medical Information Processing, Biometry and Epidemiology, IBE, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Stephan Voss
- Institute for Medical Information Processing, Biometry and Epidemiology, IBE, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Eva Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology, IBE, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
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Movsisyan A, Rehfuess E, Norris SL. When complexity matters: a step-by-step guide to incorporating a complexity perspective in guideline development for public health and health system interventions. BMC Med Res Methodol 2020; 20:245. [PMID: 33008285 PMCID: PMC7532611 DOI: 10.1186/s12874-020-01132-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 09/23/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Guidelines on public health and health system interventions often involve considerations beyond effectiveness and safety to account for the impact that these interventions have on the wider systems in which they are implemented. This paper describes how a complexity perspective may be adopted in guideline development to facilitate a more nuanced consideration of a range of factors pertinent to decisions regarding public health and health system interventions. These factors include acceptability and feasibility, and societal, economic, and equity and equality implications of interventions. MAIN MESSAGE A 5-step process describes how to incorporate a complexity perspective in guideline development with examples to illustrate each step. The steps include: (i) guideline scoping, (ii) formulating questions, (iii) retrieving and synthesising evidence, (iv) assessing the evidence, and (v) developing recommendations. Guideline scoping using stakeholder consultations, complexity features, evidence mapping, logic modelling, and explicit decision criteria is emphasised as a key step that informs all subsequent steps. CONCLUSIONS Through explicit consideration of a range of factors and enhanced understanding of the specific circumstances in which interventions work, a complexity perspective can yield guidelines with better informed recommendations and facilitate local adaptation and implementation. Further work will need to look into the methods of collecting and assessing different types of evidence beyond effectiveness and develop procedural guidance for prioritising across a range of decision criteria.
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Affiliation(s)
- A Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Marchioninistrasse 17, 81377, Munich, Germany. .,Pettenkofer School of Public Health, LMU Munich, Marchioninistrasse 17, 81377, Munich, Germany.
| | - E Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Marchioninistrasse 17, 81377, Munich, Germany.,Pettenkofer School of Public Health, LMU Munich, Marchioninistrasse 17, 81377, Munich, Germany
| | - S L Norris
- Science Division, Department of Quality Assurance of Norms and Standards, World Health Organization, 20 Avenue Appia, 1211, 27, Geneva, Switzerland
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Evans RE, Moore G, Movsisyan A, Rehfuess E. How can we adapt complex population health interventions for new contexts? Progressing debates and research priorities. J Epidemiol Community Health 2020; 75:40-45. [PMID: 32981892 PMCID: PMC7788480 DOI: 10.1136/jech-2020-214468] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 08/06/2020] [Accepted: 08/24/2020] [Indexed: 01/03/2023]
Abstract
INTRODUCTION The UK Medical Research Council and National Institute for Health Research have funded the ADAPT study (2018-2020), to develop methodological guidance for the adaptation of complex population health interventions for new contexts. While there have been advances in frameworks, there are key theoretical and methodological debates to progress. The ADAPT study convened a panel meeting to identify and enrich these debates. This paper presents the panel's discussions and suggests directions for future research. METHODS Sixteen researchers and one policymaker convened for a 1-day meeting in July 2019. The aim was to reflect on emerging study findings (systematic review of adaptation guidance; scoping review of case examples; and qualitative interviews with funders, journal editors, researchers and policymakers), progress theoretical and methodological debates, and consider where innovation may be required to address research gaps. DISCUSSION Despite the proliferation of adaptation frameworks, questions remain over the definition of basic concepts (eg, adaptation). The rationale for adaptation, which often focuses on differences between contexts, may lead to adaptation hyperactivity. Equal emphasis should be placed on similarities. Decision-making about intervention modification currently privileges the concept of 'core components', and work is needed to progress the use and operationalisation of 'functional fidelity'. Language and methods must advance to ensure meaningful engagement with diverse stakeholders in adaptation processes. Further guidance is required to assess the extent of re-evaluation required in the new context. A better understanding of different theoretical perspectives, notably complex systems thinking, implementation science and realist evaluation may help in enhancing research on adaptation.
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Affiliation(s)
| | - Graham Moore
- DECIPHer, School of Social Sciences, Cardiff University, Cardiff, UK
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany.,Pettenkofer School of Public Health, Munich, Germany
| | - Eva Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany.,Pettenkofer School of Public Health, Munich, Germany
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Stratil J, Oliver K, von Philipsborn P, Movsisyan A, Rehfuess EA. More harm than good? Building a framework to identify adverse effects of public health interventions. Eur J Public Health 2020. [DOI: 10.1093/eurpub/ckaa166.1258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
While the importance of adverse events of medical interventions is widely recognized, adverse effects of public health interventions remain a neglected topic. This project aims to develop a framework to guide researchers and decision-makers to systematically reflect on and identify potential adverse effects of public health interventions.
Methods
We conducted a mixed-method systematic review of theoretical and conceptual publications on adverse events of public health interventions to develop a preliminary framework employing best-fit framework synthesis. We used the WHO-INTEGRATE framework as a starting point for the synthesis, a multidimensional evidence-to-decision framework developed for complex interventions in complex systems.
Results
The framework includes two interlinked parts: The first maps domains in which potential adverse events might arise. Drawing on the WHO-INTEGRATE framework, these domains include aspects related to health, but also domains related to societal, economic, and environmental implications. The second part maps general mechanisms through which public health interventions can lead to adverse effects (e.g. reactive behaviour change, increase of labelling and stigmatization, and exposure to environmental risk-factors).
Conclusions
The framework will be advanced in the second phase of the project through empirical studies of harmful effects in public health interventions, which we will identify through an overview of systematic reviews. Adverse effects of public health interventions are currently not sufficiently considered in research and practice. Taking them into account is essential for informed decision-making and establishing appropriate countermeasures. Our framework could be a valuable asset for researchers and policy makers in developing, implementing and evaluating public health interventions.
Key messages
Awareness of the adverse effects of public health interventions is essential for informed decision-making and establishing countermeasures. This framework supports researchers and decision-makers in systematically reflecting on and identifying adverse events when developing, piloting, implementing or evaluating public health interventions.
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Affiliation(s)
| | - K Oliver
- Faculty of Public Health and Policy, LSHTM, London, UK
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Zähringer J, Schwingshackl L, Movsisyan A, Stratil JM, Capacci S, Steinacker JM, Forberger S, Ahrens W, Küllenberg de Gaudry D, Schünemann HJ, Meerpohl JJ. Use of the GRADE approach in health policymaking and evaluation: a scoping review of nutrition and physical activity policies. Implement Sci 2020; 15:37. [PMID: 32448231 PMCID: PMC7245872 DOI: 10.1186/s13012-020-00984-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 03/18/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Nutrition and physical activity policies have the potential to influence lifestyle patterns and reduce the burden of non-communicable diseases. In the world of health-related guidelines, GRADE (Grading of Recommendations, Assessment, Development and Evaluation) is the most widely used approach for assessing the certainty of evidence and determining the strength of recommendations. Thus, it is relevant to explore its usefulness also in the process of nutrition and physical activity policymaking and evaluation. The purpose of this scoping review was (i) to generate an exemplary overview of documents using the GRADE approach in the process of nutrition and physical activity policymaking and evaluation, (ii) to find out how the GRADE approach has been applied, and (iii) to explore which facilitators of and barriers to the use of GRADE have been described on the basis of the identified documents. The overarching aim of this work is to work towards improving the process of evidence-informed policymaking in the areas of dietary behavior, physical activity, and sedentary behavior. METHODS A scoping review was conducted according to current reporting standards. MEDLINE via Ovid, the Cochrane Library, and Web of Science were systematically searched up until 4 July 2019. Documents describing a body of evidence which was assessed for the development or evaluation of a policy, including documents labeled as "guidelines," or systematic reviews used to inform policymaking were included. RESULTS Thirty-six documents were included. Overall, 313 GRADE certainty of evidence ratings were identified in systematic reviews and guidelines; the strength of recommendations/policies was assessed in four documents, and six documents mentioned facilitators or barriers for the use of GRADE. The major reported barrier was the initial low starting level of a body of evidence from non-randomized studies when assessing the certainty of evidence. CONCLUSION This scoping review found that the GRADE approach has been used for policy evaluations, in the evaluation of the effectiveness of policy-relevant interventions (policymaking), as well as in the development of guidelines intended to guide policymaking. Several areas for future research were identified to explore the use of GRADE in health policymaking and evaluation.
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Affiliation(s)
- Jasmin Zähringer
- Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Lukas Schwingshackl
- Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ani Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Pettenkofer School of Public Health, LMU Munich, Munich, Germany
| | - Jan M Stratil
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Pettenkofer School of Public Health, LMU Munich, Munich, Germany
| | - Sara Capacci
- Department of Statistical Sciences, University of Bologna, Bologna, Italy
| | - Jürgen M Steinacker
- Division of Sports- and Rehabilitation Medicine, Medical Center, Ulm University Hospital, Ulm, Germany
| | - Sarah Forberger
- Department Prevention and Evaluation, Leibniz-Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Wolfgang Ahrens
- Department Prevention and Evaluation, Leibniz-Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Daniela Küllenberg de Gaudry
- Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Holger J Schünemann
- McMaster GRADE Centre and Department of Health Research Methods, Evidence, and Impact, McMaster University Health Sciences Centre, Hamilton, Ontario, Canada
| | - Joerg J Meerpohl
- Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
- Cochrane Germany, Cochrane Germany Foundation, Freiburg, Germany.
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Grigoryan A, Muradyan I, Manukyan V, Movsisyan A, Ghazaryan H, Baklachyan G, Grigoryan M, Sargsyan M, Asoyan V, Apresyan H. The etiological structure of patients hospitalized in pediatric infectious diseases department of “Nork” ICH during January- June 2018. J Infect Public Health 2020. [DOI: 10.1016/j.jiph.2020.01.167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Grigoryan M, Isakhanyan E, Ghazaryan H, Movsisyan A, Muradyan I, Grigoryan A, Manukyan V, Baklachyan G, Asoyan V, Apresyan H. Comorbidity or hail hits the spot. J Infect Public Health 2020. [DOI: 10.1016/j.jiph.2020.01.172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Muradyan I, Grigoryan A, Manukyan V, Movsisyan A, Ghazaryan H, Baklachyan G, Grigoryan M, Sargsyan M, Asoyan V, Apresyan H. Double-edged sword: threat or not GAS after Clostridium Difficile associated diarrhea. J Infect Public Health 2020. [DOI: 10.1016/j.jiph.2020.01.120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
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Grigoryan M, Apresyan H, Ghazaryan H, Manukyan V, Baklachyan G, Grigoryan A, Muradyan I, Movsisyan A, Asoyan V. Early diagnosing – advantage. J Infect Public Health 2020. [DOI: 10.1016/j.jiph.2020.01.160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Grigoryan M, Manukyan V, Sargsyan M, Baklachyan G, Grigoryan A, Muradyan I, Ghazaryan H, Movsisyan A, Asoyan V, Apresyan H. Underestimated CNS involvement during Visceral Leishmaniasis. J Infect Public Health 2020. [DOI: 10.1016/j.jiph.2020.01.164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Movsisyan A, Arnold L, Evans R, Hallingberg B, Moore G, O’Cathain A, Pfadenhauer LM, Segrott J, Rehfuess E. Adapting evidence-informed complex population health interventions for new contexts: a systematic review of guidance. Implement Sci 2019; 14:105. [PMID: 31847920 PMCID: PMC6918624 DOI: 10.1186/s13012-019-0956-5] [Citation(s) in RCA: 121] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Accepted: 11/28/2019] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Adapting interventions that have worked elsewhere can save resources associated with developing new interventions for each specific context. While a developing body of evidence shows benefits of adapted interventions compared with interventions transported without adaptation, there are also examples of interventions which have been extensively adapted, yet have not worked in the new context. Decisions on when, to what extent, and how to adapt interventions therefore are not straightforward, particularly when conceptualising intervention effects as contingent upon contextual interactions in complex systems. No guidance currently addresses these questions comprehensively. To inform development of an overarching guidance on adaptation of complex population health interventions, this systematic review synthesises the content of the existing guidance papers. METHODS We searched for papers published between January 2000 and October 2018 in 7 bibliographic databases. We used citation tracking and contacted authors and experts to locate further papers. We double screened all the identified records. We extracted data into the following categories: descriptive information, key concepts and definitions, rationale for adaptation, aspects of adaptation, process of adaptation, evaluating and reporting adapted interventions. Data extraction was conducted independently by two reviewers, and retrieved data were synthesised thematically within pre-specified and emergent categories. RESULTS We retrieved 6694 unique records. Thirty-eight papers were included in the review representing 35 sources of guidance. Most papers were developed in the USA in the context of implementing evidence-informed interventions among different population groups within the country, such as minority populations. We found much agreement on how the papers defined key concepts, aims, and procedures of adaptation, including involvement of key stakeholders, but also identified gaps in scope, conceptualisation, and operationalisation in several categories. CONCLUSIONS Our review found limitations that should be addressed in future guidance on adaptation. Specifically, future guidance needs to be reflective of adaptations in the context of transferring interventions across countries, including macro- (e.g. national-) level interventions, better theorise the role of intervention mechanisms and contextual interactions in the replicability of effects and accordingly conceptualise key concepts, such as fidelity to intervention functions, and finally, suggest evidence-informed strategies for adaptation re-evaluation and reporting. TRIAL REGISTRATION PROSPERO 2018, CRD42018112714.
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Affiliation(s)
- A. Movsisyan
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Marchioninistrasse 17, 81377 Munich, Germany
- Pettenkofer School of Public Health, LMU Munich, Marchioninistrasse 17, 81377 Munich, Germany
| | - L. Arnold
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Marchioninistrasse 17, 81377 Munich, Germany
- Pettenkofer School of Public Health, LMU Munich, Marchioninistrasse 17, 81377 Munich, Germany
| | - R. Evans
- Centre for the Development and Evaluation of Complex Interventions for Public Health Improvement (DECIPHer), School of Social Sciences, Cardiff University, 1-3 Museum Place, CF10 3BD Cardiff, Wales UK
| | - B. Hallingberg
- Cardiff School of Sport & Health Sciences, Llandaff Campus, Cardiff Metropolitan University, Western Avenue, Cardiff, CF5 2YB Wales UK
| | - G. Moore
- Centre for the Development and Evaluation of Complex Interventions for Public Health Improvement (DECIPHer), School of Social Sciences, Cardiff University, 1-3 Museum Place, CF10 3BD Cardiff, Wales UK
| | - A. O’Cathain
- School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 20 Regent Street, S1 4DA Sheffield, UK
| | - L. M. Pfadenhauer
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Marchioninistrasse 17, 81377 Munich, Germany
- Pettenkofer School of Public Health, LMU Munich, Marchioninistrasse 17, 81377 Munich, Germany
| | - J. Segrott
- Centre for the Development and Evaluation of Complex Interventions for Public Health Improvement (DECIPHer), School of Social Sciences, Cardiff University, 1-3 Museum Place, CF10 3BD Cardiff, Wales UK
| | - E. Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Marchioninistrasse 17, 81377 Munich, Germany
- Pettenkofer School of Public Health, LMU Munich, Marchioninistrasse 17, 81377 Munich, Germany
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Duer M, Schmidt A, Pybus JR, Segarra EP, Hrnjic A, Denniston AW, Weiss R, Hen O, Piasetzky E, Weinstein LB, Barnea N, Korover I, Cohen EO, Hakobyan H, Adhikari S, Angelini G, Battaglieri M, Beck A, Bedlinskiy I, Biselli AS, Boiarinov S, Brooks W, Burkert VD, Cao F, Carman DS, Celentano A, Chetry T, Ciullo G, Clark L, Cole PL, Contalbrigo M, Cortes O, Crede V, Cruz Torres R, D'Angelo A, Dashyan N, De Sanctis E, De Vita R, Deur A, Diehl S, Djalali C, Dupre R, Duran B, Egiyan H, El Alaoui A, El Fassi L, Eugenio P, Filippi A, Forest TA, Gilfoyle GP, Giovanetti KL, Girod FX, Golovatch E, Gothe RW, Griffioen KA, Guo L, Hafidi K, Hanretty C, Harrison N, Hattawy M, Hauenstein F, Hayward TB, Heddle D, Hicks K, Holtrop M, Ilieva Y, Ireland DG, Ishkhanov BS, Isupov EL, Jo HS, Joo K, Kabir ML, Keller D, Khachatryan M, Khanal A, Khandaker M, Kim W, Klein FJ, Kubarovsky V, Kuhn SE, Lanza L, Laskaris G, Lenisa P, Livingston K, MacGregor IJD, Marchand D, Markov N, McKinnon B, Mey-Tal Beck S, Mirazita M, Mokeev V, Montgomery RA, Movsisyan A, Munoz Camacho C, Mustapha B, Nadel-Turonski P, Niccolai S, Niculescu G, Osipenko M, Ostrovidov AI, Paolone M, Paremuzyan R, Park K, Pasyuk E, Patsyuk M, Phelps W, Pogorelko O, Prok Y, Protopopescu D, Ripani M, Rizzo A, Rosner G, Rossi P, Sabatié F, Schmookler BA, Schumacher RA, Sharabian Y, Skorodumina I, Sokhan D, Sparveris N, Stepanyan S, Strauch S, Taiuti M, Tan JA, Tyler N, Ungaro M, Voskanyan H, Voutier E, Wang R, Wei X, Wood MH, Zachariou N, Zhang J, Zhao ZW, Zheng X. Direct Observation of Proton-Neutron Short-Range Correlation Dominance in Heavy Nuclei. Phys Rev Lett 2019; 122:172502. [PMID: 31107086 DOI: 10.1103/physrevlett.122.172502] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 03/11/2019] [Indexed: 06/09/2023]
Abstract
We measured the triple coincidence A(e,e^{'}np) and A(e,e^{'}pp) reactions on carbon, aluminum, iron, and lead targets at Q^{2}>1.5 (GeV/c)^{2}, x_{B}>1.1 and missing momentum >400 MeV/c. This was the first direct measurement of both proton-proton (pp) and neutron-proton (np) short-range correlated (SRC) pair knockout from heavy asymmetric nuclei. For all measured nuclei, the average proton-proton (pp) to neutron-proton (np) reduced cross-section ratio is about 6%, in agreement with previous indirect measurements. Correcting for single-charge exchange effects decreased the SRC pairs ratio to ∼3%, which is lower than previous results. Comparisons to theoretical generalized contact formalism (GCF) cross-section calculations show good agreement using both phenomenological and chiral nucleon-nucleon potentials, favoring a lower pp to np pair ratio. The ability of the GCF calculation to describe the experimental data using either phenomenological or chiral potentials suggests possible reduction of scale and scheme dependence in cross-section ratios. Our results also support the high-resolution description of high-momentum states being predominantly due to nucleons in SRC pairs.
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Affiliation(s)
- M Duer
- School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
| | - A Schmidt
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - J R Pybus
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - E P Segarra
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Hrnjic
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A W Denniston
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R Weiss
- The Racah Institute of Physics, The Hebrew University, Jerusalem, Israel
| | - O Hen
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - E Piasetzky
- School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
| | - L B Weinstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - N Barnea
- The Racah Institute of Physics, The Hebrew University, Jerusalem, Israel
| | - I Korover
- Nuclear Research Centre Negev, Beer-Sheva, Israel
| | - E O Cohen
- School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - S Adhikari
- Florida International University, Miami, Florida 33199, USA
| | | | | | - A Beck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - I Bedlinskiy
- Institute of Theoretical and Experimental Physics, Moscow, 117259, Russia
| | - A S Biselli
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
- Fairfield University, Fairfield Connecticut 06824, USA
| | - S Boiarinov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W Brooks
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Cao
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - T Chetry
- Ohio University, Athens, Ohio 45701, USA
| | - G Ciullo
- Universita' di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - L Clark
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - P L Cole
- Catholic University of America, Washington, DC, 20064, USA
- Idaho State University, Pocatello, Idaho 83209, USA
- Lamar University, 4400 MLK Blvd, PO Box 10009, Beaumont, Texas 77710, USA
| | | | - O Cortes
- The George Washington University, Washington, DC, 20052, USA
| | - V Crede
- Florida State University, Tallahassee, Florida 32306, USA
| | - R Cruz Torres
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Universita' di Roma Tor Vergata, 00133 Rome, Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - E De Sanctis
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Diehl
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Djalali
- Ohio University, Athens, Ohio 45701, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - R Dupre
- Institut de Physique Nucl'eaire, IN2P3-CNRS, Universit'e Paris-Sud, Universit'e Paris-Saclay, F-91406 Orsay, France
| | - Burcu Duran
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - H Egiyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A El Alaoui
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L El Fassi
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - P Eugenio
- Florida State University, Tallahassee, Florida 32306, USA
| | - A Filippi
- INFN, Sezione di Torino, 10125 Torino, Italy
| | - T A Forest
- Idaho State University, Pocatello, Idaho 83209, USA
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - K L Giovanetti
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - F X Girod
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Golovatch
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - L Guo
- Florida International University, Miami, Florida 33199, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - C Hanretty
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N Harrison
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Hattawy
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - T B Hayward
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - D Heddle
- Christopher Newport University, Newport News, Virginia 23606, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Hicks
- Ohio University, Athens, Ohio 45701, USA
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - Y Ilieva
- The George Washington University, Washington, DC, 20052, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - B S Ishkhanov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - H S Jo
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - K Joo
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M L Kabir
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - D Keller
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - M Khachatryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Khanal
- Florida International University, Miami, Florida 33199, USA
| | - M Khandaker
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - F J Klein
- Catholic University of America, Washington, DC, 20064, USA
| | - V Kubarovsky
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S E Kuhn
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Lanza
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - G Laskaris
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - P Lenisa
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | | | - D Marchand
- Institut de Physique Nucl'eaire, IN2P3-CNRS, Universit'e Paris-Sud, Universit'e Paris-Saclay, F-91406 Orsay, France
| | - N Markov
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - S Mey-Tal Beck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - M Mirazita
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - V Mokeev
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - A Movsisyan
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - C Munoz Camacho
- Institut de Physique Nucl'eaire, IN2P3-CNRS, Universit'e Paris-Sud, Universit'e Paris-Saclay, F-91406 Orsay, France
| | - B Mustapha
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Niccolai
- Institut de Physique Nucl'eaire, IN2P3-CNRS, Universit'e Paris-Sud, Universit'e Paris-Saclay, F-91406 Orsay, France
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A I Ostrovidov
- Florida State University, Tallahassee, Florida 32306, USA
| | - M Paolone
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Paremuzyan
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - K Park
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - E Pasyuk
- Arizona State University, Tempe, Arizona 85287-1504, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Patsyuk
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - W Phelps
- The George Washington University, Washington, DC, 20052, USA
| | - O Pogorelko
- Institute of Theoretical and Experimental Physics, Moscow, 117259, Russia
| | - Y Prok
- Old Dominion University, Norfolk, Virginia 23529, USA
- University of Virginia, Charlottesville, Virginia 22901, USA
| | | | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A Rizzo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Universita' di Roma Tor Vergata, 00133 Rome, Italy
| | - G Rosner
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - P Rossi
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Sabatié
- IRFU, CEA, Universit'e Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - B A Schmookler
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R A Schumacher
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - Y Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Iu Skorodumina
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D Sokhan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Stepanyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Strauch
- The George Washington University, Washington, DC, 20052, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Taiuti
- INFN, Sezione di Genova, 16146 Genova, Italy
- Universita di Genova, Dipartimento di Fisica, 16146 Genova, Italy
| | - J A Tan
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - N Tyler
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Ungaro
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - E Voutier
- Institut de Physique Nucl'eaire, IN2P3-CNRS, Universit'e Paris-Sud, Universit'e Paris-Saclay, F-91406 Orsay, France
| | - R Wang
- Institut de Physique Nucl'eaire, IN2P3-CNRS, Universit'e Paris-Sud, Universit'e Paris-Saclay, F-91406 Orsay, France
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M H Wood
- Canisius College, Buffalo, New York 14208, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - N Zachariou
- University of York, York YO10, United Kingdom
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - Z W Zhao
- Duke University, Durham, North Carolina 27708-0305, USA
| | - X Zheng
- University of Virginia, Charlottesville, Virginia 22901, USA
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41
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Roy P, Park S, Crede V, Anisovich AV, Klempt E, Nikonov VA, Sarantsev AV, Wei NC, Huang F, Nakayama K, Adhikari KP, Adhikari S, Angelini G, Avakian H, Barion L, Battaglieri M, Bedlinskiy I, Biselli AS, Boiarinov S, Briscoe WJ, Brock J, Brooks WK, Burkert VD, Cao F, Carlin C, Carman DS, Celentano A, Chatagnon P, Chetry T, Ciullo G, Cole PL, Contalbrigo M, Cortes O, D'Angelo A, Dashyan N, De Vita R, De Sanctis E, Deur A, Diehl S, Djalali C, Dugger M, Dupre R, Duran B, Egiyan H, Ehrhart M, El Alaoui A, El Fassi L, Eugenio P, Fegan S, Filippi A, Fradi A, Gilfoyle GP, Girod FX, Golovatch E, Gothe RW, Griffioen KA, Guidal M, Guo L, Hafidi K, Hanretty C, Harrison N, Hattawy M, Hayward TB, Heddle D, Hicks K, Holtrop M, Ilieva Y, Ireland DG, Ishkhanov BS, Isupov EL, Jenkins D, Jo HS, Johnston S, Joosten S, Kabir ML, Keith CD, Keller D, Khachatryan G, Khachatryan M, Khanal A, Khandaker M, Kim A, Kim W, Klein FJ, Kubarovsky V, Kuleshov SV, Kunkel MC, Lanza L, Lenisa P, Livingston K, MacGregor IJD, Marchand D, McKinnon B, Meekins DG, Meyer CA, Mineeva T, Mokeev V, Montgomery RA, Movsisyan A, Munoz Camacho C, Nadel-Turonski P, Niccolai S, Niculescu G, Osipenko M, Ostrovidov AI, Paolone M, Pappalardo LL, Paremuzyan R, Pasyuk E, Payette D, Phelps W, Pierce J, Pogorelko O, Prok Y, Protopopescu D, Raue BA, Ripani M, Riser D, Ritchie BG, Rizzo A, Rosner G, Sabatié F, Salgado C, Schumacher RA, Seely ML, Sharabian YG, Shrestha U, Skorodumina I, Sokhan D, Soto O, Sparveris N, Strakovsky II, Strauch S, Taiuti M, Tan JA, Torayev B, Tyler N, Ungaro M, Voskanyan H, Voutier E, Walford NK, Wang R, Watts DP, Wei X, Wood MH, Zachariou N, Zhang J, Zhao ZW. First Measurements of the Double-Polarization Observables F, P, and H in ω Photoproduction off Transversely Polarized Protons in the N^{*} Resonance Region. Phys Rev Lett 2019; 122:162301. [PMID: 31075002 DOI: 10.1103/physrevlett.122.162301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 03/12/2019] [Indexed: 06/09/2023]
Abstract
First measurements of double-polarization observables in ω photoproduction off the proton are presented using transverse target polarization and data from the CEBAF Large Acceptance Spectrometer (CLAS) FROST experiment at Jefferson Lab. The beam-target asymmetry F has been measured using circularly polarized, tagged photons in the energy range 1200-2700 MeV, and the beam-target asymmetries H and P have been measured using linearly polarized, tagged photons in the energy range 1200-2000 MeV. These measurements significantly increase the database on polarization observables. The results are included in two partial-wave analyses and reveal significant contributions from several nucleon (N^{*}) resonances. In particular, contributions from new N^{*} resonances listed in the Review of Particle Properties are observed, which aid in reaching the goal of mapping out the nucleon resonance spectrum.
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Affiliation(s)
- P Roy
- Florida State University, Tallahassee, Florida 32306, USA
| | - S Park
- Florida State University, Tallahassee, Florida 32306, USA
| | - V Crede
- Florida State University, Tallahassee, Florida 32306, USA
| | - A V Anisovich
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, 53115 Bonn, Germany
- NRC "Kurchatov Institute," PNPI, 188300, Gatchina, Russia
| | - E Klempt
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, 53115 Bonn, Germany
| | - V A Nikonov
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, 53115 Bonn, Germany
- NRC "Kurchatov Institute," PNPI, 188300, Gatchina, Russia
| | - A V Sarantsev
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, 53115 Bonn, Germany
- NRC "Kurchatov Institute," PNPI, 188300, Gatchina, Russia
| | - N C Wei
- Zhengzhou University, Zhengzhou, Henan 450001, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - F Huang
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - K Nakayama
- University of Georgia, Athens, Georgia 30602, USA
| | - K P Adhikari
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - S Adhikari
- Florida International University, Miami, Florida 33199, USA
| | - G Angelini
- The George Washington University, Washington, DC 20052, USA
| | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Barion
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | | | - I Bedlinskiy
- Institute of Theoretical and Experimental Physics, Moscow, 117259, Russia
| | - A S Biselli
- Fairfield University, Fairfield, Connecticut 06824, USA
| | - S Boiarinov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W J Briscoe
- The George Washington University, Washington, DC 20052, USA
| | - J Brock
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W K Brooks
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Cao
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Carlin
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - P Chatagnon
- Institut de Physique Nucléaire, IN2P3-CNRS, Université Paris-Sud, Université Paris-Saclay, F-91406 Orsay, France
| | - T Chetry
- Ohio University, Athens, Ohio 45701, USA
| | - G Ciullo
- Università di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - P L Cole
- Idaho State University, Pocatello, Idaho 83209, USA
- Lamar University, 4400 MLK Blvd, P.O. Box 10009, Beaumont, Texas 77710, USA
| | | | - O Cortes
- The George Washington University, Washington, DC 20052, USA
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Università di Roma Tor Vergata, 00133 Rome, Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - E De Sanctis
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Diehl
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Djalali
- Ohio University, Athens, Ohio 45701, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Dugger
- Arizona State University, Tempe, Arizona 85287-1504, USA
| | - R Dupre
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Institut de Physique Nucléaire, IN2P3-CNRS, Université Paris-Sud, Université Paris-Saclay, F-91406 Orsay, France
| | - B Duran
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - H Egiyan
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Ehrhart
- Institut de Physique Nucléaire, IN2P3-CNRS, Université Paris-Sud, Université Paris-Saclay, F-91406 Orsay, France
| | - A El Alaoui
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L El Fassi
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - P Eugenio
- Florida State University, Tallahassee, Florida 32306, USA
| | - S Fegan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - A Filippi
- INFN, Sezione di Torino, 10125 Torino, Italy
| | - A Fradi
- Institut de Physique Nucléaire, IN2P3-CNRS, Université Paris-Sud, Université Paris-Saclay, F-91406 Orsay, France
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - F X Girod
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Golovatch
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - M Guidal
- Institut de Physique Nucléaire, IN2P3-CNRS, Université Paris-Sud, Université Paris-Saclay, F-91406 Orsay, France
| | - L Guo
- Florida International University, Miami, Florida 33199, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - C Hanretty
- Florida State University, Tallahassee, Florida 32306, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N Harrison
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Hattawy
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - T B Hayward
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - D Heddle
- Christopher Newport University, Newport News, Virginia 23606, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Hicks
- Ohio University, Athens, Ohio 45701, USA
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - Y Ilieva
- The George Washington University, Washington, DC 20052, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - B S Ishkhanov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - D Jenkins
- Virginia Tech, Blacksburg, Virginia 24061-0435, USA
| | - H S Jo
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - S Johnston
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - S Joosten
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - M L Kabir
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - C D Keith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Keller
- University of Virginia, Charlottesville, Virginia 22901, USA
| | | | - M Khachatryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Khanal
- Florida International University, Miami, Florida 33199, USA
| | - M Khandaker
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - A Kim
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - F J Klein
- Catholic University of America, Washington, D.C. 20064, USA
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S V Kuleshov
- Institute of Theoretical and Experimental Physics, Moscow, 117259, Russia
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - M C Kunkel
- Institut für Kernphysik, 52425 Jülich, Germany
| | - L Lanza
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - P Lenisa
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | | | - D Marchand
- Institut de Physique Nucléaire, IN2P3-CNRS, Université Paris-Sud, Université Paris-Saclay, F-91406 Orsay, France
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - D G Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C A Meyer
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - T Mineeva
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - V Mokeev
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - A Movsisyan
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - C Munoz Camacho
- Institut de Physique Nucléaire, IN2P3-CNRS, Université Paris-Sud, Université Paris-Saclay, F-91406 Orsay, France
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Niccolai
- Institut de Physique Nucléaire, IN2P3-CNRS, Université Paris-Sud, Université Paris-Saclay, F-91406 Orsay, France
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A I Ostrovidov
- Florida State University, Tallahassee, Florida 32306, USA
| | - M Paolone
- University of South Carolina, Columbia, South Carolina 29208, USA
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | | | - R Paremuzyan
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - E Pasyuk
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Payette
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - W Phelps
- The George Washington University, Washington, DC 20052, USA
| | - J Pierce
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - O Pogorelko
- Institute of Theoretical and Experimental Physics, Moscow, 117259, Russia
| | - Y Prok
- Christopher Newport University, Newport News, Virginia 23606, USA
- Old Dominion University, Norfolk, Virginia 23529, USA
- University of Virginia, Charlottesville, Virginia 22901, USA
| | | | - B A Raue
- Florida International University, Miami, Florida 33199, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - D Riser
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - B G Ritchie
- Arizona State University, Tempe, Arizona 85287-1504, USA
| | - A Rizzo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Università di Roma Tor Vergata, 00133 Rome, Italy
| | - G Rosner
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - F Sabatié
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - R A Schumacher
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - M L Seely
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - U Shrestha
- Ohio University, Athens, Ohio 45701, USA
| | - Iu Skorodumina
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D Sokhan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - O Soto
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - I I Strakovsky
- The George Washington University, Washington, DC 20052, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Taiuti
- Università di Genova, 16146 Genova, Italy
| | - J A Tan
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - B Torayev
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - N Tyler
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Ungaro
- University of Connecticut, Storrs, Connecticut 06269, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - E Voutier
- Institut de Physique Nucléaire, IN2P3-CNRS, Université Paris-Sud, Université Paris-Saclay, F-91406 Orsay, France
| | - N K Walford
- Catholic University of America, Washington, D.C. 20064, USA
| | - R Wang
- Institut de Physique Nucléaire, IN2P3-CNRS, Université Paris-Sud, Université Paris-Saclay, F-91406 Orsay, France
| | - D P Watts
- University of York, York YO10, United Kingdom
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M H Wood
- Canisius College, Buffalo, New York 14208, USA
| | - N Zachariou
- The George Washington University, Washington, DC 20052, USA
- University of York, York YO10, United Kingdom
| | - J Zhang
- Old Dominion University, Norfolk, Virginia 23529, USA
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - Z W Zhao
- Duke University, Durham, North Carolina 27708-0305, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
- University of Virginia, Charlottesville, Virginia 22901, USA
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Montgomery P, Movsisyan A, Grant SP, Macdonald G, Rehfuess EA. Considerations of complexity in rating certainty of evidence in systematic reviews: a primer on using the GRADE approach in global health. BMJ Glob Health 2019; 4:e000848. [PMID: 30775013 PMCID: PMC6350753 DOI: 10.1136/bmjgh-2018-000848] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Revised: 07/04/2018] [Accepted: 07/06/2018] [Indexed: 12/31/2022] Open
Abstract
Public health interventions and health technologies are commonly described as 'complex', as they involve multiple interacting components and outcomes, and their effects are largely influenced by contextual interactions and system-level processes. Systematic reviewers and guideline developers evaluating the effects of these complex interventions and technologies report difficulties in using existing methods and frameworks, such as the Grading of Recommendations Assessment, Development and Evaluation (GRADE). As part of a special series of papers on implications of complexity in the WHO guideline development, this paper serves as a primer on how to consider sources of complexity when using the GRADE approach to rate certainty of evidence. Relevant sources of complexity in systematic reviews, health technology assessments and guidelines of public health are outlined and mapped onto the reported difficulties in rating the estimates of the effect of these interventions. Recommendations on how to address these difficulties are further outlined, and the need for an integrated use of GRADE from the beginning of the review or guideline development is emphasised. The content of this paper is informed by the existing GRADE guidance, an ongoing research project on considering sources of complexity when applying the GRADE approach to rate certainty of evidence in systematic reviews and the review authors' own experiences with using GRADE.
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Affiliation(s)
- Paul Montgomery
- School of Social Policy, University of Birmingham, Birmingham, UK
| | - Ani Movsisyan
- Centre for Evidence-Based Intervention, Department of Social Policy and Intervention, University of Oxford, Oxford, UK
| | - Sean P Grant
- Pardee RAND Graduate School, RAND Corporation, Santa Monica, California, USA
| | | | - Eva Annette Rehfuess
- Institute for Medical Information Processing, Biometry and Epidemiology, Pettenkofer School of Public Health, Ludwig Maximilian University, Munich, Germany
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43
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Cohen EO, Hen O, Piasetzky E, Weinstein LB, Duer M, Schmidt A, Korover I, Hakobyan H, Adhikari S, Akbar Z, Amaryan MJ, Avakian H, Ball J, Barion L, Battaglieri M, Beck A, Bedlinskiy I, Biselli AS, Boiarinov S, Briscoe W, Burkert VD, Cao F, Carman DS, Celentano A, Charles G, Chatagnon P, Chetry T, Ciullo G, Clary BA, Contalbrigo M, Crede V, Cruz Torres R, D'Angelo A, Dashyan N, De Vita R, De Sanctis E, Defurne M, Deur A, Diehl S, Djalali C, Duer M, Dupre R, Egiyan H, Ehrhart M, El Alaoui A, Fassi LE, Eugenio P, Fedotov G, Fersch R, Filippi A, Ghandilyan Y, Giovanetti KL, Girod FX, Golovatch E, Gothe RW, Griffioen KA, Hafidi K, Harrison N, Hauenstein F, Heddle D, Hicks K, Holtrop M, Ireland DG, Ishkhanov BS, Isupov EL, Jenkins D, Jo HS, Johnston S, Kabir ML, Keller D, Khachatryan G, Khachatryan M, Khandaker M, Kim A, Kim W, Klein A, Klein FJ, Korover I, Kubarovsky V, Kuhn SE, Lanza L, Lenisa P, Livingston K, MacGregor IJD, Marchand D, McKinnon B, Mey-Tal Beck S, Meyer CA, Mirazita M, Mokeev V, Montgomery RA, Movsisyan A, Munoz Camacho C, Mustapha B, Nadel-Turonski P, Niccolai S, Niculescu G, Osipenko M, Ostrovidov AI, Paolone M, Paremuzyan R, Pasyuk E, Pogorelko O, Price JW, Prok Y, Protopopescu D, Ripani M, Riser D, Rizzo A, Rosner G, Rossi P, Sabatié F, Schmookler BA, Schumacher RA, Sharabian YG, Sokhan D, Sparveris N, Stepanyan S, Strauch S, Taiuti M, Tan JA, Ungaro M, Voskanyan H, Voutier E, Wang R, Watts DP, Wei X, Wood MH, Zachariou N, Zhang J, Zheng X, Zhao ZW. Center of Mass Motion of Short-Range Correlated Nucleon Pairs studied via the A(e,e^{'}pp) Reaction. Phys Rev Lett 2018; 121:092501. [PMID: 30230869 DOI: 10.1103/physrevlett.121.092501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Indexed: 06/08/2023]
Abstract
Short-range correlated (SRC) nucleon pairs are a vital part of the nucleus, accounting for almost all nucleons with momentum greater than the Fermi momentum (k_{F}). A fundamental characteristic of SRC pairs is having large relative momenta as compared to k_{F}, and smaller center of mass (c.m.) which indicates a small separation distance between the nucleons in the pair. Determining the c.m. momentum distribution of SRC pairs is essential for understanding their formation process. We report here on the extraction of the c.m. motion of proton-proton (pp) SRC pairs in carbon and, for the first time in heavier and ansymetric nuclei: aluminum, iron, and lead, from measurements of the A(e,e^{'}pp) reaction. We find that the pair c.m. motion for these nuclei can be described by a three-dimensional Gaussian with a narrow width ranging from 140 to 170 MeV/c, approximately consistent with the sum of two mean-field nucleon momenta. Comparison with calculations appears to show that the SRC pairs are formed from mean-field nucleons in specific quantum states.
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Affiliation(s)
- E O Cohen
- School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
| | - O Hen
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - E Piasetzky
- School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
| | - L B Weinstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Duer
- School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
| | - A Schmidt
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - I Korover
- School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - S Adhikari
- Florida International University, Miami, Florida 33199, USA
| | - Z Akbar
- Florida State University, Tallahassee, Florida 32306, USA
| | - M J Amaryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Ball
- IRFU, CEA, Universit'e Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - L Barion
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | | | - A Beck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - I Bedlinskiy
- Institute of Theoretical and Experimental Physics, Moscow, 117259, Russia
| | - A S Biselli
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
- Fairfield University, Fairfield Connecticut 06824, USA
| | - S Boiarinov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W Briscoe
- Institute for Nuclear Studies, Department of Physics, The George Washington University, Washington DC 20052, USA
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Cao
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - G Charles
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - Pierre Chatagnon
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - T Chetry
- Ohio University, Athens, Ohio 45701, USA
| | - G Ciullo
- Universita' di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | | | | | - V Crede
- Florida State University, Tallahassee, Florida 32306, USA
| | - R Cruz Torres
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Universita' di Roma Tor Vergata, 00133 Rome Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - E De Sanctis
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - M Defurne
- IRFU, CEA, Universit'e Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Diehl
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Djalali
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Duer
- School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
| | - R Dupre
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - H Egiyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Mathieu Ehrhart
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - A El Alaoui
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L El Fassi
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - P Eugenio
- Florida State University, Tallahassee, Florida 32306, USA
| | - G Fedotov
- Ohio University, Athens, Ohio 45701, USA
| | - R Fersch
- Christopher Newport University, Newport News, Virginia 23606, USA
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - A Filippi
- INFN, Sezione di Torino, 10125 Torino, Italy
| | - Y Ghandilyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - K L Giovanetti
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - F X Girod
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Golovatch
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - N Harrison
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - D Heddle
- Christopher Newport University, Newport News, Virginia 23606, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Hicks
- Ohio University, Athens, Ohio 45701, USA
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - B S Ishkhanov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - D Jenkins
- Virginia Tech, Blacksburg, Virginia 24061-0435, USA
| | - H S Jo
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - S Johnston
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - M L Kabir
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - D Keller
- University of Virginia, Charlottesville, Virginia 22901, USA
| | | | - M Khachatryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Khandaker
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - A Kim
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - A Klein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - F J Klein
- Catholic University of America, Washington, DC 20064, USA
| | - I Korover
- Nuclear Research Centre Negev, Beer-Sheva, Israel
| | - V Kubarovsky
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S E Kuhn
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Lanza
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - P Lenisa
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | | | - D Marchand
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - S Mey-Tal Beck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - C A Meyer
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - M Mirazita
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - V Mokeev
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - A Movsisyan
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - C Munoz Camacho
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - B Mustapha
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Niccolai
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A I Ostrovidov
- Florida State University, Tallahassee, Florida 32306, USA
| | - M Paolone
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Paremuzyan
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - E Pasyuk
- Arizona State University, Tempe, Arizona 85287-1504, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - O Pogorelko
- Institute of Theoretical and Experimental Physics, Moscow, 117259, Russia
| | - J W Price
- California State University, Dominguez Hills, Carson, California 90747, USA
| | - Y Prok
- Old Dominion University, Norfolk, Virginia 23529, USA
- University of Virginia, Charlottesville, Virginia 22901, USA
| | | | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - D Riser
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - A Rizzo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Universita' di Roma Tor Vergata, 00133 Rome Italy
| | - G Rosner
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - P Rossi
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Sabatié
- IRFU, CEA, Universit'e Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - B A Schmookler
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R A Schumacher
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Sokhan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Stepanyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Taiuti
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - J A Tan
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - M Ungaro
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - E Voutier
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - R Wang
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - D P Watts
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M H Wood
- Canisius College, Buffalo, New York 14208, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - N Zachariou
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - X Zheng
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - Z W Zhao
- Duke University, Durham, North Carolina 27708-0305, USA
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44
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Movsisyan A, Dennis J, Rehfuess E, Grant S, Montgomery P. Rating the quality of a body of evidence on the effectiveness of health and social interventions: A systematic review and mapping of evidence domains. Res Synth Methods 2018; 9:224-242. [PMID: 29346709 PMCID: PMC6001464 DOI: 10.1002/jrsm.1290] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 12/11/2017] [Accepted: 01/07/2018] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Rating the quality of a body of evidence is an increasingly common component of research syntheses on intervention effectiveness. This study sought to identify and examine existing systems for rating the quality of a body of evidence on the effectiveness of health and social interventions. METHODS We used a multicomponent search strategy to search for full-length reports of systems for rating the quality of a body of evidence on the effectiveness of health and social interventions published in English from 1995 onward. Two independent reviewers extracted data from each eligible system on the evidence domains included, as well as the development and dissemination processes for each system. RESULTS Seventeen systems met our eligibility criteria. Across systems, we identified 13 discrete evidence domains: study design, study execution, consistency, measures of precision, directness, publication bias, magnitude of effect, dose-response, plausible confounding, analogy, robustness, applicability, and coherence. We found little reporting of rigorous procedures in the development and dissemination of evidence rating systems. CONCLUSION We identified 17 systems for rating the quality of a body of evidence on intervention effectiveness across health and social policy. Existing systems vary greatly in the domains they include and how they operationalize domains, and most have important limitations in their development and dissemination. The construct of the quality of the body of evidence was defined in a few systems largely extending the Grading of Recommendations Assessment, Development, and Evaluation approach. Grading of Recommendations Assessment, Development, and Evaluation was found to be unique in its comprehensive guidance, rigorous development, and dissemination strategy.
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Affiliation(s)
- Ani Movsisyan
- Department of Social Policy and InterventionUniversity of OxfordOxfordOX1 2ERUK
| | - Jane Dennis
- London School of Hygiene and Tropical MedicineLondonWC1E 7HTUK
| | - Eva Rehfuess
- Institute for Medical Informatics, Biometry and EpidemiologyLudwig‐Maximilians‐UniversityMunich81377Germany
| | - Sean Grant
- RAND CorporationSanta MonicaCA90407‐2138USA
| | - Paul Montgomery
- Department of Social Policy, Sociology and CriminologyUniversity of BirminghamEdgbastonBirminghamB15 2TTUK
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45
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Adhikari KP, Deur A, El Fassi L, Kang H, Kuhn SE, Ripani M, Slifer K, Zheng X, Adhikari S, Akbar Z, Amaryan MJ, Avakian H, Ball J, Balossino I, Barion L, Battaglieri M, Bedlinskiy I, Biselli AS, Bosted P, Briscoe WJ, Brock J, Bültmann S, Burkert VD, Thanh Cao F, Carlin C, Carman DS, Celentano A, Charles G, Chen JP, Chetry T, Choi S, Ciullo G, Clark L, Cole PL, Contalbrigo M, Crede V, D'Angelo A, Dashyan N, De Vita R, De Sanctis E, Defurne M, Djalali C, Dodge GE, Drozdov V, Dupre R, Egiyan H, El Alaoui A, Elouadrhiri L, Eugenio P, Fedotov G, Filippi A, Ghandilyan Y, Gilfoyle GP, Golovatch E, Gothe RW, Griffioen KA, Guidal M, Guler N, Guo L, Hafidi K, Hakobyan H, Hanretty C, Harrison N, Hattawy M, Heddle D, Hicks K, Holtrop M, Hyde CE, Ilieva Y, Ireland DG, Isupov EL, Jenkins D, Jo HS, Johnston SC, Joo K, Joosten S, Kabir ML, Keith CD, Keller D, Khachatryan G, Khachatryan M, Khandaker M, Kim W, Klein A, Klein FJ, Konczykowski P, Kovacs K, Kubarovsky V, Lanza L, Lenisa P, Livingston K, Long E, MacGregor IJD, Markov N, Mayer M, McKinnon B, Meekins DG, Meyer CA, Mineeva T, Mirazita M, Mokeev V, Movsisyan A, Munoz Camacho C, Nadel-Turonski P, Niculescu G, Niccolai S, Osipenko M, Ostrovidov AI, Paolone M, Pappalardo L, Paremuzyan R, Park K, Pasyuk E, Payette D, Phelps W, Phillips SK, Pierce J, Pogorelko O, Poudel J, Price JW, Prok Y, Protopopescu D, Raue BA, Rizzo A, Rosner G, Rossi P, Sabatié F, Salgado C, Schumacher RA, Sharabian YG, Shigeyuki T, Simonyan A, Skorodumina I, Smith GD, Sparveris N, Sokhan D, Stepanyan S, Strakovsky II, Strauch S, Sulkosky V, Taiuti M, Tan JA, Ungaro M, Voutier E, Wei X, Weinstein LB, Zhang J, Zhao ZW. Measurement of the Q^{2} Dependence of the Deuteron Spin Structure Function g_{1} and its Moments at Low Q^{2} with CLAS. Phys Rev Lett 2018; 120:062501. [PMID: 29481214 DOI: 10.1103/physrevlett.120.062501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 12/05/2017] [Indexed: 06/08/2023]
Abstract
We measured the g_{1} spin structure function of the deuteron at low Q^{2}, where QCD can be approximated with chiral perturbation theory (χPT). The data cover the resonance region, up to an invariant mass of W≈1.9 GeV. The generalized Gerasimov-Drell-Hearn sum, the moment Γ_{1}^{d} and the spin polarizability γ_{0}^{d} are precisely determined down to a minimum Q^{2} of 0.02 GeV^{2} for the first time, about 2.5 times lower than that of previous data. We compare them to several χPT calculations and models. These results are the first in a program of benchmark measurements of polarization observables in the χPT domain.
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Affiliation(s)
- K P Adhikari
- Old Dominion University, Norfolk, Virginia 23529, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - L El Fassi
- Old Dominion University, Norfolk, Virginia 23529, USA
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - H Kang
- Seoul National University, Seoul, Korea
| | - S E Kuhn
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - K Slifer
- University of Virginia, Charlottesville, Virginia 22901, USA
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - X Zheng
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - S Adhikari
- Florida International University, Miami, Florida 33199, USA
| | - Z Akbar
- Florida State University, Tallahassee, Florida 32306, USA
| | - M J Amaryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Ball
- IRFU, CEA, Universit'e Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - I Balossino
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - L Barion
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | | | - I Bedlinskiy
- Institute of Theoretical and Experimental Physics, Moscow, 117259, Russia
| | - A S Biselli
- Fairfield University, Fairfield, Connecticut 06824, USA
| | - P Bosted
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - W J Briscoe
- The George Washington University, Washington, DC 20052, USA
| | - J Brock
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Bültmann
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Thanh Cao
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Carlin
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - G Charles
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Chetry
- Ohio University, Athens, Ohio 45701, USA
| | - S Choi
- Seoul National University, Seoul, Korea
| | - G Ciullo
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - L Clark
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - P L Cole
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Idaho State University, Pocatello, Idaho 83209, USA
| | | | - V Crede
- Florida State University, Tallahassee, Florida 32306, USA
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Universita' di Roma Tor Vergata, 00133 Rome Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - E De Sanctis
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - M Defurne
- IRFU, CEA, Universit'e Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - C Djalali
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - G E Dodge
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V Drozdov
- INFN, Sezione di Genova, 16146 Genova, Italy
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R Dupre
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - H Egiyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - A El Alaoui
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L Elouadrhiri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Eugenio
- Florida State University, Tallahassee, Florida 32306, USA
| | - G Fedotov
- Ohio University, Athens, Ohio 45701, USA
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - A Filippi
- INFN, Sezione di Torino, 10125 Torino, Italy
| | - Y Ghandilyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - E Golovatch
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - M Guidal
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - N Guler
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Guo
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Florida International University, Miami, Florida 33199, USA
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Hakobyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - C Hanretty
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N Harrison
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Hattawy
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - D Heddle
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - K Hicks
- Ohio University, Athens, Ohio 45701, USA
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - C E Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - Y Ilieva
- The George Washington University, Washington, DC 20052, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - D Jenkins
- Virginia Tech, Blacksburg, Virginia 24061-0435, USA
| | - H S Jo
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - S C Johnston
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - K Joo
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - S Joosten
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - M L Kabir
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - C D Keith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Keller
- University of Virginia, Charlottesville, Virginia 22901, USA
| | | | - M Khachatryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Khandaker
- Idaho State University, Pocatello, Idaho 83209, USA
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - A Klein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - F J Klein
- Catholic University of America, Washington, DC 20064, USA
| | - P Konczykowski
- IRFU, CEA, Universit'e Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - K Kovacs
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA
| | - L Lanza
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - P Lenisa
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - E Long
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | | | - N Markov
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Mayer
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - D G Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C A Meyer
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - T Mineeva
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - M Mirazita
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - V Mokeev
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - A Movsisyan
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - C Munoz Camacho
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- The George Washington University, Washington, DC 20052, USA
| | - G Niculescu
- Ohio University, Athens, Ohio 45701, USA
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - S Niccolai
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A I Ostrovidov
- Florida State University, Tallahassee, Florida 32306, USA
| | - M Paolone
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - L Pappalardo
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
- Università di Ferrara, 44121 Ferrara, Italy
| | - R Paremuzyan
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - K Park
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - E Pasyuk
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Arizona State University, Tempe, Arizona 85287-1504, USA
| | - D Payette
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - W Phelps
- Florida International University, Miami, Florida 33199, USA
| | - S K Phillips
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - J Pierce
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - O Pogorelko
- Institute of Theoretical and Experimental Physics, Moscow, 117259, Russia
| | - J Poudel
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J W Price
- California State University, Dominguez Hills, Carson, California 90747, USA
| | - Y Prok
- Old Dominion University, Norfolk, Virginia 23529, USA
- University of Virginia, Charlottesville, Virginia 22901, USA
| | | | - B A Raue
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Florida International University, Miami, Florida 33199, USA
| | - A Rizzo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Universita' di Roma Tor Vergata, 00133 Rome Italy
| | - G Rosner
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - P Rossi
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - F Sabatié
- IRFU, CEA, Universit'e Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - R A Schumacher
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Shigeyuki
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - A Simonyan
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - Iu Skorodumina
- University of South Carolina, Columbia, South Carolina 29208, USA
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - G D Smith
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D Sokhan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - S Stepanyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I I Strakovsky
- The George Washington University, Washington, DC 20052, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - V Sulkosky
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - M Taiuti
- INFN, Sezione di Genova, 16146 Genova, Italy
- Università di Genova, Dipartimento di Fisica, 16146 Genova, Italy
| | - J A Tan
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - M Ungaro
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA
| | - E Voutier
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, Orsay, France
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L B Weinstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J Zhang
- Old Dominion University, Norfolk, Virginia 23529, USA
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - Z W Zhao
- Old Dominion University, Norfolk, Virginia 23529, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
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Hattawy M, Baltzell NA, Dupré R, Hafidi K, Stepanyan S, Bültmann S, De Vita R, El Alaoui A, El Fassi L, Egiyan H, Girod FX, Guidal M, Jenkins D, Liuti S, Perrin Y, Torayev B, Voutier E, Adhikari KP, Adhikari S, Adikaram D, Akbar Z, Amaryan MJ, Anefalos Pereira S, Armstrong WR, Avakian H, Ball J, Bashkanov M, Battaglieri M, Batourine V, Bedlinskiy I, Biselli AS, Boiarinov S, Briscoe WJ, Brooks WK, Burkert VD, Thanh Cao F, Carman DS, Celentano A, Charles G, Chetry T, Ciullo G, Clark L, Colaneri L, Cole PL, Contalbrigo M, Cortes O, Crede V, D'Angelo A, Dashyan N, De Sanctis E, Deur A, Djalali C, Elouadrhiri L, Eugenio P, Fedotov G, Fegan S, Fersch R, Filippi A, Fleming JA, Forest TA, Fradi A, Garçon M, Gevorgyan N, Ghandilyan Y, Gilfoyle GP, Giovanetti KL, Gleason C, Gohn W, Golovatch E, Gothe RW, Griffioen KA, Guo L, Hakobyan H, Hanretty C, Harrison N, Heddle D, Hicks K, Holtrop M, Hughes SM, Ireland DG, Ishkhanov BS, Isupov EL, Jiang H, Joo K, Joosten S, Keller D, Khachatryan G, Khachatryan M, Khandaker M, Kim A, Kim W, Klein A, Klein FJ, Kubarovsky V, Kuhn SE, Kuleshov SV, Lanza L, Lenisa P, Livingston K, Lu HY, MacGregor IJD, Markov N, Mayer M, McCracken ME, McKinnon B, Meyer CA, Meziani ZE, Mineeva T, Mirazita M, Mokeev V, Montgomery RA, Moutarde H, Movsisyan A, Munoz Camacho C, Nadel-Turonski P, Net LA, Niccolai S, Niculescu G, Niculescu I, Osipenko M, Ostrovidov AI, Paolone M, Paremuzyan R, Park K, Pasyuk E, Phelps E, Phelps W, Pisano S, Pogorelko O, Price JW, Prok Y, Protopopescu D, Ripani M, Ritchie BG, Rizzo A, Rosner G, Rossi P, Sabatié F, Salgado C, Schumacher RA, Seder E, Sharabian YG, Simonyan A, Skorodumina I, Smith GD, Sokhan D, Sparveris N, Strauch S, Taiuti M, Ungaro M, Voskanyan H, Walford NK, Watts DP, Wei X, Weinstein LB, Wood MH, Zachariou N, Zana L, Zhang J, Zhao ZW. First Exclusive Measurement of Deeply Virtual Compton Scattering off ^{4}He: Toward the 3D Tomography of Nuclei. Phys Rev Lett 2017; 119:202004. [PMID: 29219329 DOI: 10.1103/physrevlett.119.202004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Indexed: 06/07/2023]
Abstract
We report on the first measurement of the beam-spin asymmetry in the exclusive process of coherent deeply virtual Compton scattering off a nucleus. The experiment uses the 6 GeV electron beam from the Continuous Electron Beam Accelerator Facility (CEBAF) accelerator at Jefferson Lab incident on a pressurized ^{4}He gaseous target placed in front of the CEBAF Large Acceptance Spectrometer (CLAS). The scattered electron is detected by CLAS and the photon by a dedicated electromagnetic calorimeter at forward angles. To ensure the exclusivity of the process, a specially designed radial time projection chamber is used to detect the recoiling ^{4}He nuclei. We measure beam-spin asymmetries larger than those observed on the free proton in the same kinematic domain. From these, we are able to extract, in a model-independent way, the real and imaginary parts of the only ^{4}He Compton form factor, H_{A}. This first measurement of coherent deeply virtual Compton scattering on the ^{4}He nucleus, with a fully exclusive final state via nuclear recoil tagging, leads the way toward 3D imaging of the partonic structure of nuclei.
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Affiliation(s)
- M Hattawy
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, 91406 Orsay, France
| | - N A Baltzell
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Dupré
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, 91406 Orsay, France
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - S Stepanyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Bültmann
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A El Alaoui
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L El Fassi
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - H Egiyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F X Girod
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Guidal
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, 91406 Orsay, France
| | - D Jenkins
- Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - S Liuti
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - Y Perrin
- LPSC, Université Grenoble-Alpes, CNRS/IN2P3, 38026 Grenoble, France
| | - B Torayev
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - E Voutier
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, 91406 Orsay, France
- LPSC, Université Grenoble-Alpes, CNRS/IN2P3, 38026 Grenoble, France
| | - K P Adhikari
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - S Adhikari
- Florida International University, Miami, Florida 33199, USA
| | - D Adikaram
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - Z Akbar
- Florida State University, Tallahassee, Florida 32306, USA
| | - M J Amaryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | | | | | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Ball
- Irfu/SPhN, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - M Bashkanov
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | | | - V Batourine
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I Bedlinskiy
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
| | - A S Biselli
- Fairfield University, Fairfield, Connecticut 06824, USA
| | - S Boiarinov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W J Briscoe
- The George Washington University, Washington, DC 20052, USA
| | - W K Brooks
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - G Charles
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - T Chetry
- Ohio University, Athens, Ohio 45701, USA
| | - G Ciullo
- Universita' di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - L Clark
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - L Colaneri
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, 91406 Orsay, France
| | - P L Cole
- Idaho State University, Pocatello, Idaho 83209, USA
| | | | - O Cortes
- Idaho State University, Pocatello, Idaho 83209, USA
| | - V Crede
- Florida State University, Tallahassee, Florida 32306, USA
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Universita' di Roma Tor Vergata, 00133 Rome, Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - E De Sanctis
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Djalali
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - L Elouadrhiri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Eugenio
- Florida State University, Tallahassee, Florida 32306, USA
| | - G Fedotov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Fegan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - R Fersch
- Christopher Newport University, Newport News, Virginia 23606, USA
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - A Filippi
- INFN, Sezione di Torino, 10125 Torino, Italy
| | - J A Fleming
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - T A Forest
- Idaho State University, Pocatello, Idaho 83209, USA
| | - A Fradi
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, 91406 Orsay, France
| | - M Garçon
- Irfu/SPhN, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - N Gevorgyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - Y Ghandilyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - K L Giovanetti
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - C Gleason
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - W Gohn
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - E Golovatch
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - L Guo
- Florida International University, Miami, Florida 33199, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - C Hanretty
- Florida State University, Tallahassee, Florida 32306, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N Harrison
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Heddle
- Christopher Newport University, Newport News, Virginia 23606, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Hicks
- Ohio University, Athens, Ohio 45701, USA
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - S M Hughes
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - B S Ishkhanov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - H Jiang
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Joo
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - S Joosten
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D Keller
- Ohio University, Athens, Ohio 45701, USA
- University of Virginia, Charlottesville, Virginia 22901, USA
| | | | - M Khachatryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Khandaker
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - A Kim
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - A Klein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - F J Klein
- Catholic University of America, Washington, DC 20064, USA
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S E Kuhn
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - S V Kuleshov
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L Lanza
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - P Lenisa
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - H Y Lu
- University of South Carolina, Columbia, South Carolina 29208, USA
| | | | - N Markov
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Mayer
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M E McCracken
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - C A Meyer
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - Z E Meziani
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - T Mineeva
- University of Connecticut, Storrs, Connecticut 06269, USA
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - M Mirazita
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - V Mokeev
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - H Moutarde
- Irfu/SPhN, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - A Movsisyan
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - C Munoz Camacho
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, 91406 Orsay, France
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L A Net
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Niccolai
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, 91406 Orsay, France
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - I Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A I Ostrovidov
- Florida State University, Tallahassee, Florida 32306, USA
| | - M Paolone
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Paremuzyan
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - K Park
- University of South Carolina, Columbia, South Carolina 29208, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Pasyuk
- Arizona State University, Tempe, Arizona 85287-1504, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Phelps
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - W Phelps
- Florida International University, Miami, Florida 33199, USA
| | - S Pisano
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
- Institut de Physique Nucléaire, CNRS/IN2P3 and Université Paris Sud, 91406 Orsay, France
| | - O Pogorelko
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
| | - J W Price
- California State University, Dominguez Hills, Carson, California 90747, USA
| | - Y Prok
- Old Dominion University, Norfolk, Virginia 23529, USA
- University of Virginia, Charlottesville, Virginia 22901, USA
| | | | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - B G Ritchie
- Arizona State University, Tempe, Arizona 85287-1504, USA
| | - A Rizzo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Universita' di Roma Tor Vergata, 00133 Rome, Italy
| | - G Rosner
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - P Rossi
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Sabatié
- Irfu/SPhN, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - R A Schumacher
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - E Seder
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Simonyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - Iu Skorodumina
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - G D Smith
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - D Sokhan
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Taiuti
- Università di Genova, 16146 Genova, Italy
| | - M Ungaro
- University of Connecticut, Storrs, Connecticut 06269, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - N K Walford
- Catholic University of America, Washington, DC 20064, USA
| | - D P Watts
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L B Weinstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M H Wood
- Canisius College, Buffalo, New York, USA
| | - N Zachariou
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - L Zana
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - Z W Zhao
- Old Dominion University, Norfolk, Virginia 23529, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
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47
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Ho D, Peng P, Bass C, Collins P, D'Angelo A, Deur A, Fleming J, Hanretty C, Kageya T, Khandaker M, Klein FJ, Klempt E, Laine V, Lowry MM, Lu H, Nepali C, Nikonov VA, O'Connell T, Sandorfi AM, Sarantsev AV, Schumacher RA, Strakovsky II, Švarc A, Walford NK, Wei X, Whisnant CS, Workman RL, Zonta I, Adhikari KP, Adikaram D, Akbar Z, Amaryan MJ, Anefalos Pereira S, Avakian H, Ball J, Bashkanov M, Battaglieri M, Batourine V, Bedlinskiy I, Biselli A, Briscoe WJ, Burkert VD, Carman DS, Celentano A, Charles G, Chetry T, Ciullo G, Clark L, Colaneri L, Cole PL, Contalbrigo M, Crede V, Dashyan N, De Sanctis E, De Vita R, Djalali C, Dupre R, El Alaoui A, El Fassi L, Elouadrhiri L, Eugenio P, Fedotov G, Fegan S, Fersch R, Filippi A, Fradi A, Ghandilyan Y, Gilfoyle GP, Girod FX, Glazier DI, Gleason C, Gohn W, Golovatch E, Gothe RW, Griffioen KA, Guidal M, Guo L, Hakobyan H, Harrison N, Hattawy M, Hicks K, Holtrop M, Hughes SM, Ilieva Y, Ireland DG, Ishkhanov BS, Isupov EL, Jenkins D, Jiang H, Jo HS, Joo K, Joosten S, Keller D, Khachatryan G, Kim A, Kim W, Klein A, Kubarovsky V, Kuleshov SV, Lanza L, Lenisa P, Livingston K, MacGregor IJD, Markov N, McKinnon B, Mineeva T, Mokeev V, Montgomery RA, Movsisyan A, Munoz Camacho C, Murdoch G, Niccolai S, Niculescu G, Osipenko M, Paolone M, Paremuzyan R, Park K, Pasyuk E, Phelps W, Pogorelko O, Price JW, Procureur S, Protopopescu D, Ripani M, Riser D, Ritchie BG, Rizzo A, Rosner G, Sabatié F, Salgado C, Sharabian YG, Skorodumina I, Smith GD, Sober DI, Sokhan D, Sparveris N, Strauch S, Tian Y, Torayev B, Ungaro M, Voskanyan H, Voutier E, Watts DP, Wood MH, Zachariou N, Zhang J, Zhao ZW. Beam-Target Helicity Asymmetry for γ[over →]n[over →]→π^{-}p in the N^{*} Resonance Region. Phys Rev Lett 2017; 118:242002. [PMID: 28665642 DOI: 10.1103/physrevlett.118.242002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Indexed: 06/07/2023]
Abstract
We report the first beam-target double-polarization asymmetries in the γ+n(p)→π^{-}+p(p) reaction spanning the nucleon resonance region from invariant mass W=1500 to 2300 MeV. Circularly polarized photons and longitudinally polarized deuterons in solid hydrogen deuteride (HD) have been used with the CEBAF Large Acceptance Spectrometer (CLAS) at Jefferson Lab. The exclusive final state has been extracted using three very different analyses that show excellent agreement, and these have been used to deduce the E polarization observable for an effective neutron target. These results have been incorporated into new partial wave analyses and have led to significant revisions for several γnN^{*} resonance photocouplings.
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Affiliation(s)
- D Ho
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - P Peng
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - C Bass
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Collins
- Catholic University of America, Washington, D.C. 20064, USA
| | - A D'Angelo
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Università di Roma "Tor Vergata" and INFN Sezione di Roma2, 00133 Roma, Italy
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Fleming
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
| | - C Hanretty
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - T Kageya
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Khandaker
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - F J Klein
- The George Washington University, Washington, D.C. 20052, USA
| | - E Klempt
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, 53113 Bonn, Germany
| | - V Laine
- Université Blaise Pascal, Clermont-Ferrand, Aubière Cedex 63178 , France
| | - M M Lowry
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Lu
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
- University of Iowa, Iowa City, Iowa 52242, USA
| | - C Nepali
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V A Nikonov
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, 53113 Bonn, Germany
- Petersburg Nuclear Physics Institute, Gatchina 188300, Russia
| | - T O'Connell
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - A M Sandorfi
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A V Sarantsev
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, 53113 Bonn, Germany
- Petersburg Nuclear Physics Institute, Gatchina 188300, Russia
| | - R A Schumacher
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - I I Strakovsky
- The George Washington University, Washington, D.C. 20052, USA
| | - A Švarc
- Rudjer Bošković Institute, Zagreb 10002, Croatia
| | - N K Walford
- Catholic University of America, Washington, D.C. 20064, USA
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C S Whisnant
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - R L Workman
- The George Washington University, Washington, D.C. 20052, USA
| | - I Zonta
- Università di Roma "Tor Vergata" and INFN Sezione di Roma2, 00133 Roma, Italy
| | - K P Adhikari
- Old Dominion University, Norfolk, Virginia 23529, USA
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Adikaram
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - Z Akbar
- Florida State University, Tallahassee, Florida 32306, USA
| | - M J Amaryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | | | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Ball
- Irfu/SPhN, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191 , France
| | - M Bashkanov
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
| | | | - V Batourine
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I Bedlinskiy
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
| | - A Biselli
- Fairfield University, Fairfield, Connecticut 06824, USA
| | - W J Briscoe
- The George Washington University, Washington, D.C. 20052, USA
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Celentano
- INFN, Sezione di Genova, Genova 16146, Italy
| | - G Charles
- Old Dominion University, Norfolk, Virginia 23529, USA
- Irfu/SPhN, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191 , France
| | - T Chetry
- Ohio University, Athens, Ohio 45701, USA
| | - G Ciullo
- INFN Sezione di Ferrara and Universita' di Ferrara, Ferrara 44121, Italy
| | - L Clark
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - L Colaneri
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - P L Cole
- Idaho State University, Pocatello, Idaho 83209, USA
| | - M Contalbrigo
- INFN Sezione di Ferrara and Universita' di Ferrara, Ferrara 44121, Italy
| | - V Crede
- Florida State University, Tallahassee, Florida 32306, USA
| | - N Dashyan
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - E De Sanctis
- INFN, Laboratori Nazionali di Frascati, Frascati 00044, Italy
| | - R De Vita
- INFN, Sezione di Genova, Genova 16146, Italy
| | - C Djalali
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - R Dupre
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
- Irfu/SPhN, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191 , France
| | - A El Alaoui
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L El Fassi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - L Elouadrhiri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Eugenio
- Florida State University, Tallahassee, Florida 32306, USA
| | - G Fedotov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Fegan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - R Fersch
- Christopher Newport University, Newport News, Virginia 23606, USA
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - A Filippi
- INFN, Sezione di Torino, Torino 10125, Italy
| | - A Fradi
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
| | - Y Ghandilyan
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - F X Girod
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D I Glazier
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - C Gleason
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - W Gohn
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - E Golovatch
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - M Guidal
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
| | - L Guo
- Florida International University, Miami, Florida 33199, USA
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - N Harrison
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Hattawy
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - K Hicks
- Ohio University, Athens, Ohio 45701, USA
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - S M Hughes
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
| | - Y Ilieva
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - B S Ishkhanov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - D Jenkins
- Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - H Jiang
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - H S Jo
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
| | - K Joo
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - S Joosten
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D Keller
- University of Virginia, Charlottesville, Virginia 22903, USA
| | | | - A Kim
- University of Connecticut, Storrs, Connecticut 06269, USA
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - A Klein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S V Kuleshov
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L Lanza
- Università di Roma "Tor Vergata" and INFN Sezione di Roma2, 00133 Roma, Italy
| | - P Lenisa
- INFN Sezione di Ferrara and Universita' di Ferrara, Ferrara 44121, Italy
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | | | - N Markov
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - T Mineeva
- University of Connecticut, Storrs, Connecticut 06269, USA
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - V Mokeev
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - A Movsisyan
- INFN Sezione di Ferrara and Universita' di Ferrara, Ferrara 44121, Italy
| | - C Munoz Camacho
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
| | - G Murdoch
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - S Niccolai
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - M Osipenko
- INFN, Sezione di Genova, Genova 16146, Italy
| | - M Paolone
- Temple University, Philadelphia, Pennsylvania 19122, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - R Paremuzyan
- University of New Hampshire, Durham, New Hampshire 03824, USA
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - K Park
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Pasyuk
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W Phelps
- Florida International University, Miami, Florida 33199, USA
| | - O Pogorelko
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
| | - J W Price
- California State University, Dominguez Hills, Carson, California 90747, USA
| | - S Procureur
- Irfu/SPhN, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191 , France
| | | | - M Ripani
- INFN, Sezione di Genova, Genova 16146, Italy
| | - D Riser
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - B G Ritchie
- Arizona State University, Tempe, Arizona 85287, USA
| | - A Rizzo
- Università di Roma "Tor Vergata" and INFN Sezione di Roma2, 00133 Roma, Italy
| | - G Rosner
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - F Sabatié
- Irfu/SPhN, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191 , France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Iu Skorodumina
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - G D Smith
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
| | - D I Sober
- Catholic University of America, Washington, D.C. 20064, USA
| | - D Sokhan
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - Ye Tian
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - B Torayev
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Ungaro
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Voskanyan
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - E Voutier
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
| | - D P Watts
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
| | - M H Wood
- Canisius College, Buffalo, New York 14208, USA
| | - N Zachariou
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - J Zhang
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z W Zhao
- University of Virginia, Charlottesville, Virginia 22903, USA
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48
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Henderson BS, Ice LD, Khaneft D, O'Connor C, Russell R, Schmidt A, Bernauer JC, Kohl M, Akopov N, Alarcon R, Ates O, Avetisyan A, Beck R, Belostotski S, Bessuille J, Brinker F, Calarco JR, Carassiti V, Cisbani E, Ciullo G, Contalbrigo M, De Leo R, Diefenbach J, Donnelly TW, Dow K, Elbakian G, Eversheim PD, Frullani S, Funke C, Gavrilov G, Gläser B, Görrissen N, Hasell DK, Hauschildt J, Hoffmeister P, Holler Y, Ihloff E, Izotov A, Kaiser R, Karyan G, Kelsey J, Kiselev A, Klassen P, Krivshich A, Lehmann I, Lenisa P, Lenz D, Lumsden S, Ma Y, Maas F, Marukyan H, Miklukho O, Milner RG, Movsisyan A, Murray M, Naryshkin Y, Perez Benito R, Perrino R, Redwine RP, Rodríguez Piñeiro D, Rosner G, Schneekloth U, Seitz B, Statera M, Thiel A, Vardanyan H, Veretennikov D, Vidal C, Winnebeck A, Yeganov V. Hard Two-Photon Contribution to Elastic Lepton-Proton Scattering Determined by the OLYMPUS Experiment. Phys Rev Lett 2017; 118:092501. [PMID: 28306315 DOI: 10.1103/physrevlett.118.092501] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Indexed: 06/06/2023]
Abstract
The OLYMPUS Collaboration reports on a precision measurement of the positron-proton to electron-proton elastic cross section ratio, R_{2γ}, a direct measure of the contribution of hard two-photon exchange to the elastic cross section. In the OLYMPUS measurement, 2.01 GeV electron and positron beams were directed through a hydrogen gas target internal to the DORIS storage ring at DESY. A toroidal magnetic spectrometer instrumented with drift chambers and time-of-flight scintillators detected elastically scattered leptons in coincidence with recoiling protons over a scattering angle range of ≈20° to 80°. The relative luminosity between the two beam species was monitored using tracking telescopes of interleaved gas electron multiplier and multiwire proportional chamber detectors at 12°, as well as symmetric Møller or Bhabha calorimeters at 1.29°. A total integrated luminosity of 4.5 fb^{-1} was collected. In the extraction of R_{2γ}, radiative effects were taken into account using a Monte Carlo generator to simulate the convolutions of internal bremsstrahlung with experiment-specific conditions such as detector acceptance and reconstruction efficiency. The resulting values of R_{2γ}, presented here for a wide range of virtual photon polarization 0.456<ε<0.978, are smaller than some hadronic two-photon exchange calculations predict, but are in reasonable agreement with a subtracted dispersion model and a phenomenological fit to the form factor data.
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Affiliation(s)
- B S Henderson
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - L D Ice
- Arizona State University, Tempe, Arizona 85281, USA
| | - D Khaneft
- Johannes Gutenberg-Universität, 55099 Mainz, Germany
| | - C O'Connor
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R Russell
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Schmidt
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - J C Bernauer
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - M Kohl
- Hampton University, Hampton, Virginia 23668, USA
| | - N Akopov
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), 0036 Yerevan, Armenia
| | - R Alarcon
- Arizona State University, Tempe, Arizona 85281, USA
| | - O Ates
- Hampton University, Hampton, Virginia 23668, USA
| | - A Avetisyan
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), 0036 Yerevan, Armenia
| | - R Beck
- Rheinische Friedrich-Wilhelms-Universität, 53113 Bonn, Germany
| | - S Belostotski
- Petersburg Nuclear Physics Institute, Gatchina 188300, Russia
| | - J Bessuille
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - F Brinker
- Deutsches Elektronen-Synchrotron, 22603 Hamburg, Germany
| | - J R Calarco
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - V Carassiti
- Università degli Studi di Ferrara and Istituto Nazionale di Fisica Nucleare sezione di Ferrara, 44122 Ferrara, Italy
| | - E Cisbani
- Istituto Nazionale di Fisica Nucleare sezione di Roma and Istituto Superiore di Sanità, 00185 Rome, Italy
| | - G Ciullo
- Università degli Studi di Ferrara and Istituto Nazionale di Fisica Nucleare sezione di Ferrara, 44122 Ferrara, Italy
| | - M Contalbrigo
- Università degli Studi di Ferrara and Istituto Nazionale di Fisica Nucleare sezione di Ferrara, 44122 Ferrara, Italy
| | - R De Leo
- Istituto Nazionale di Fisica Nucleare sezione di Bari, 70126 Bari, Italy
| | - J Diefenbach
- Hampton University, Hampton, Virginia 23668, USA
| | - T W Donnelly
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - K Dow
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Elbakian
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), 0036 Yerevan, Armenia
| | - P D Eversheim
- Rheinische Friedrich-Wilhelms-Universität, 53113 Bonn, Germany
| | - S Frullani
- Istituto Nazionale di Fisica Nucleare sezione di Roma and Istituto Superiore di Sanità, 00185 Rome, Italy
| | - Ch Funke
- Rheinische Friedrich-Wilhelms-Universität, 53113 Bonn, Germany
| | - G Gavrilov
- Petersburg Nuclear Physics Institute, Gatchina 188300, Russia
| | - B Gläser
- Johannes Gutenberg-Universität, 55099 Mainz, Germany
| | - N Görrissen
- Deutsches Elektronen-Synchrotron, 22603 Hamburg, Germany
| | - D K Hasell
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - J Hauschildt
- Deutsches Elektronen-Synchrotron, 22603 Hamburg, Germany
| | - Ph Hoffmeister
- Rheinische Friedrich-Wilhelms-Universität, 53113 Bonn, Germany
| | - Y Holler
- Deutsches Elektronen-Synchrotron, 22603 Hamburg, Germany
| | - E Ihloff
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Izotov
- Petersburg Nuclear Physics Institute, Gatchina 188300, Russia
| | - R Kaiser
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - G Karyan
- Deutsches Elektronen-Synchrotron, 22603 Hamburg, Germany
| | - J Kelsey
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Kiselev
- Petersburg Nuclear Physics Institute, Gatchina 188300, Russia
| | - P Klassen
- Rheinische Friedrich-Wilhelms-Universität, 53113 Bonn, Germany
| | - A Krivshich
- Petersburg Nuclear Physics Institute, Gatchina 188300, Russia
| | - I Lehmann
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - P Lenisa
- Università degli Studi di Ferrara and Istituto Nazionale di Fisica Nucleare sezione di Ferrara, 44122 Ferrara, Italy
| | - D Lenz
- Deutsches Elektronen-Synchrotron, 22603 Hamburg, Germany
| | - S Lumsden
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Y Ma
- Johannes Gutenberg-Universität, 55099 Mainz, Germany
| | - F Maas
- Johannes Gutenberg-Universität, 55099 Mainz, Germany
| | - H Marukyan
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), 0036 Yerevan, Armenia
| | - O Miklukho
- Petersburg Nuclear Physics Institute, Gatchina 188300, Russia
| | - R G Milner
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Movsisyan
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), 0036 Yerevan, Armenia
| | - M Murray
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Y Naryshkin
- Petersburg Nuclear Physics Institute, Gatchina 188300, Russia
| | | | - R Perrino
- Istituto Nazionale di Fisica Nucleare sezione di Bari, 70126 Bari, Italy
| | - R P Redwine
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | | | - G Rosner
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - U Schneekloth
- Deutsches Elektronen-Synchrotron, 22603 Hamburg, Germany
| | - B Seitz
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - M Statera
- Università degli Studi di Ferrara and Istituto Nazionale di Fisica Nucleare sezione di Ferrara, 44122 Ferrara, Italy
| | - A Thiel
- Rheinische Friedrich-Wilhelms-Universität, 53113 Bonn, Germany
| | - H Vardanyan
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), 0036 Yerevan, Armenia
| | - D Veretennikov
- Petersburg Nuclear Physics Institute, Gatchina 188300, Russia
| | - C Vidal
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Winnebeck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - V Yeganov
- Alikhanyan National Science Laboratory (Yerevan Physics Institute), 0036 Yerevan, Armenia
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49
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Movsisyan A, Melendez-Torres GJ, Montgomery P. A harmonized guidance is needed on how to "properly" frame review questions to make the best use of all available evidence in the assessment of effectiveness of complex interventions. J Clin Epidemiol 2016; 77:139-141. [PMID: 27107879 DOI: 10.1016/j.jclinepi.2016.04.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Accepted: 04/01/2016] [Indexed: 10/21/2022]
Affiliation(s)
- Ani Movsisyan
- Department of Social Policy and Intervention, Centre for Evidence-Based Intervention, University of Oxford, Barnett House, 32 Wellington Square, Oxford OX1 2ER, UK.
| | - G J Melendez-Torres
- Warwick Evidence, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry CV4 7AL
| | - Paul Montgomery
- Department of Social Policy and Intervention, Centre for Evidence-Based Intervention, University of Oxford, Barnett House, 32 Wellington Square, Oxford OX1 2ER, UK
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50
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Movsisyan A, Melendez-Torres GJ, Montgomery P. Outcomes in systematic reviews of complex interventions never reached "high" GRADE ratings when compared with those of simple interventions. J Clin Epidemiol 2016; 78:22-33. [PMID: 27038850 DOI: 10.1016/j.jclinepi.2016.03.014] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Revised: 03/04/2016] [Accepted: 03/21/2016] [Indexed: 10/22/2022]
Abstract
OBJECTIVES To investigate the application of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach and the quality of evidence ratings in systematic reviews of complex interventions. STUDY DESIGN AND SETTING This study examined all 40 systematic reviews published in three Cochrane Review Groups from 2013 to May 2014: Cochrane Developmental, Psychosocial and Learning Problems Group (CDPLPG); Cochrane Public Health Group (CPHG); and Cochrane Depression, Anxiety, and Neurosis Group (CCDAN). The reviews were coded and classified into "complex" (n = 24) and "simple" (n = 16) intervention review groups based on the predefined complexity dimensions from the extant literature mapped into the PICOTS framework. All the data were analyzed in these two groups to help identify specific patterns of the GRADE ratings in the reviews of complex interventions. RESULTS Outcomes of complex intervention reviews had higher proportions of "very low" quality of evidence ratings compared with those of simple intervention reviews (37.5% vs. 9.1% for the primary benefit outcomes) and were more frequently downgraded for inconsistency, performance bias, and study design. None of the outcomes of complex intervention reviews (0%) were given "high" GRADE ratings. CONCLUSION Results suggest that the GRADE assessment may not adequately describe the evidence base of complex interventions.
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Affiliation(s)
- Ani Movsisyan
- Centre for Evidence-Based Intervention, Department of Social Policy and Intervention, University of Oxford, Barnett House, 32 Wellington Square, Oxford OX1 2ER, UK.
| | - G J Melendez-Torres
- Centre for Evidence-Based Intervention, Department of Social Policy and Intervention, University of Oxford, Barnett House, 32 Wellington Square, Oxford OX1 2ER, UK
| | - Paul Montgomery
- Centre for Evidence-Based Intervention, Department of Social Policy and Intervention, University of Oxford, Barnett House, 32 Wellington Square, Oxford OX1 2ER, UK
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