101
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Russell FM, Greenwood B. Who should be prioritised for COVID-19 vaccination? Hum Vaccin Immunother 2021; 17:1317-1321. [PMID: 33141000 PMCID: PMC8078651 DOI: 10.1080/21645515.2020.1827882] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 09/21/2020] [Indexed: 12/30/2022] Open
Abstract
The development of COVID-19 vaccines is occurring at a rapid pace, with the potential for a vaccine to be available within 6 months. So who should be prioritized for vaccination when in the first instance, there will be insufficient supply to meet demand? There is no doubt that health-care workers in all settings should be vaccinated first, but who comes next will be a complex decision based on local epidemiology, societal values, and the ability of the vaccines to prevent both severe disease and to reduce transmission thereby eliciting herd protection. The decision on who to vaccinate should be equitable, highly contextualized, and based on the property of each vaccine. In some settings, the elderly may be prioritized, in others, it may be the population most likely to get infected and responsible for community spread. To support decision-making on who to be prioritized for vaccination requires urgent additional research on the epidemiology of COVID-19; preexisting immunity and who is responsible for transmission in a variety of settings; the safety, immunogenicity, and efficacy of COVID-19 vaccines in children and pregnant women; and determining whether COVID-19 vaccines prevent asymptomatic infection and transmission.
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Affiliation(s)
- Fiona M Russell
- Department of Paediatrics, The University of Melbourne, Melbourne, Australia
- Asia-Pacific Health Research, Murdoch Children’s Research Institute, Melbourne, Australia
| | - Brian Greenwood
- Department of Disease Control, London School of Hygiene and Tropical Medicine, London, UK
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102
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Shenoy ES, Weber DJ. Routine surveillance of asymptomatic healthcare personnel for severe acute respiratory coronavirus virus 2 (SARS-CoV-2): Not a prevention strategy. Infect Control Hosp Epidemiol 2021; 42:592-597. [PMID: 33427148 PMCID: PMC7870911 DOI: 10.1017/ice.2020.1428] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 11/22/2020] [Indexed: 11/30/2022]
Affiliation(s)
- Erica S. Shenoy
- Infection Control Unit, Massachusetts General Hospital, Boston, Massachusetts
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - David J. Weber
- Division of Infectious Disease, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Hospital Epidemiology, UNC Medical Center, Chapel Hill, North Carolina
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103
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Estimating, monitoring, and forecasting COVID-19 epidemics: a spatiotemporal approach applied to NYC data. Sci Rep 2021; 11:9089. [PMID: 33907222 PMCID: PMC8079423 DOI: 10.1038/s41598-021-88281-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 04/05/2021] [Indexed: 01/08/2023] Open
Abstract
We propose a susceptible-exposed-infective-recovered-type (SEIR-type) meta-population model to simulate and monitor the (COVID-19) epidemic evolution. The basic model consists of seven categories, namely, susceptible (S), exposed (E), three infective classes, recovered (R), and deceased (D). We define these categories for n age and sex groups in m different spatial locations. Therefore, the resulting model contains all epidemiological classes for each age group, sex, and location. The mixing between them is accomplished by means of time-dependent infection rate matrices. The model is calibrated with the curve of daily new infections in New York City and its boroughs, including census data, and the proportions of infections, hospitalizations, and deaths for each age range. We finally obtain a model that matches the reported curves and predicts accurate infection information for different locations and age classes.
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104
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Thiel N, Selwyn C, Murphy G, Simpson S, Chakrabarti AC. Recommendations for acceleration of vaccine development and emergency use filings for COVID-19 leveraging lessons from the novel oral polio vaccine. NPJ Vaccines 2021; 6:63. [PMID: 33888722 PMCID: PMC8062661 DOI: 10.1038/s41541-021-00325-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 03/18/2021] [Indexed: 11/17/2022] Open
Abstract
A new oral polio vaccine, nOPV2, has become the first vaccine to pursue a WHO Emergency Use Listing. Many lessons were learned as part of the accelerated development plan and submission, which have been categorized under the following sections: regulatory, clinical development, chemistry manufacturing and controls, and post-deployment monitoring. Efforts were made to adapt findings from these studies to COVID-19 vaccine candidates. Specific concepts for accelerating COVID-19 vaccine development across multiple functional domains were also included. The goals of this effort were twofold: (1) to help familiarize vaccine developers with the EUL process; and (2) to provide general guidance for faster development and preparations for launch during the COVID-19 pandemic.
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Affiliation(s)
- Natalie Thiel
- University of Washington, School of Public Health, Seattle, WA, USA
| | - Casey Selwyn
- Bill & Melinda Gates Foundation, Seattle, WA, USA
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105
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Spielberger BD, Goerne T, Geweniger A, Henneke P, Elling R. Intra-Household and Close-Contact SARS-CoV-2 Transmission Among Children - a Systematic Review. Front Pediatr 2021; 9:613292. [PMID: 33898355 PMCID: PMC8062727 DOI: 10.3389/fped.2021.613292] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 02/01/2021] [Indexed: 01/19/2023] Open
Abstract
Introduction: The outbreak of the novel coronavirus disease (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a range of emergency measures worldwide. Early in the pandemic, children were suspected to act as drivers of the COVID-19 spread in the population, which was based on experiences with influenza virus and other respiratory pathogens. Consequently, closures of schools and kindergartens were implemented in many countries around the world, alongside with other non-pharmaceutical interventions for transmission control. Given the grave and multifaceted consequences of contact restriction measures for children, it is crucial to better understand the effect size of these incisive actions for the COVID-19 pandemic. Therefore, we systematically review the current evidence on transmission of SARS-CoV-2 to and by children. Data Sources: PubMed and preprints uploaded on medRxiv. Study Selection: Original research articles, case reports, brief communications, and commentaries were included into the analysis. Each title or abstract was independently reviewed to identify relevant articles. Studies in other languages than English were not included. Data Extraction: Two reviewers independently reviewed the selected studies. Extracted data included citation of each study, type of healthcare setting, location of the study, characteristics of patient population, and reported outcomes. Results: Data on transmission of SARS-CoV-2 on or by children is scarce. Several studies show a lower seropositivity of children compared to adults, suggesting a lower susceptibility of especially younger children. Most insight currently comes from household studies suggesting, that children are predominantly infected by their household contacts. The contagiousness however, seems to be comparable between children and adults, based on our meta-analysis of included studies. Conclusions: Larger and systematic studies are urgently needed to better understand the age dependent patterns of SARS-CoV-2 transmission and thereby design more effective non-pharmaceutical interventions to reduce disease transmission.
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Affiliation(s)
- Benedikt D. Spielberger
- Center for Pediatrics and Adolescent Medicine, Medical Center-University of Freiburg, Freiburg, Germany
| | - Tessa Goerne
- Center for Pediatrics and Adolescent Medicine, Medical Center-University of Freiburg, Freiburg, Germany
- Institute for Immunodeficiency, Center for Chronic Immunodeficiency, Medical Center – University of Freiburg, Freiburg, Germany
| | - Anne Geweniger
- Center for Pediatrics and Adolescent Medicine, Medical Center-University of Freiburg, Freiburg, Germany
| | - Philipp Henneke
- Center for Pediatrics and Adolescent Medicine, Medical Center-University of Freiburg, Freiburg, Germany
- Institute for Immunodeficiency, Center for Chronic Immunodeficiency, Medical Center – University of Freiburg, Freiburg, Germany
| | - Roland Elling
- Center for Pediatrics and Adolescent Medicine, Medical Center-University of Freiburg, Freiburg, Germany
- Institute for Immunodeficiency, Center for Chronic Immunodeficiency, Medical Center – University of Freiburg, Freiburg, Germany
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106
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Bullard J, Funk D, Dust K, Garnett L, Tran K, Bello A, Strong JE, Lee SJ, Waruk J, Hedley A, Alexander D, Van Caeseele P, Loeppky C, Poliquin G. Infectivity of severe acute respiratory syndrome coronavirus 2 in children compared with adults. CMAJ 2021; 193:E601-E606. [PMID: 33837039 PMCID: PMC8101972 DOI: 10.1503/cmaj.210263] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/30/2021] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND: The role of children in the transmission and community spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is unclear. We aimed to quantify the infectivity of SARS-CoV-2 in nasopharyngeal samples from children compared with adults. METHODS: We obtained nasopharyngeal swabs from adult and pediatric cases of coronavirus disease 2019 (COVID-19) and from their contacts who tested positive for SARS-CoV-2 in Manitoba between March and December 2020. We compared viral growth in cell culture, cycle threshold values from the reverse transcription polymerase chain reaction (RT-PCR) of the SARS-CoV-2 envelope (E) gene and the 50% tissue culture infective dose (TCID50/mL) between adults and children. RESULTS: Among 305 samples positive for SARS-CoV-2 by RT-PCR, 97 samples were from children aged 10 years or younger, 78 were from children aged 11–17 years and 130 were from adults (≥ 18 yr). Viral growth in culture was present in 31% of samples, including 18 (19%) samples from children 10 years or younger, 18 (23%) from children aged 11–17 years and 57 (44%) from adults (children v. adults, odds ratio 0.45, 95% confidence interval [CI] 0.28–0.72). The cycle threshold was 25.1 (95% CI 17.7–31.3) in children 10 years or younger, 22.2 (95% CI 18.3–29.0) in children aged 11–17 years and 18.7 (95% CI 17.9–30.4) in adults (p < 0.001). The median TCID50/mL was significantly lower in children aged 11–17 years (316, interquartile range [IQR] 178–2125) than adults (5620, IQR 1171 to 17 800, p < 0.001). Cycle threshold was an accurate predictor of positive culture in both children and adults (area under the receiver-operator curve, 0.87, 95% CI 0.81–0.93 v. 0.89, 95% CI 0.83–0.96, p = 0.6). INTERPRETATION: Compared with adults, children with nasopharyngeal swabs that tested positive for SARS-CoV-2 were less likely to grow virus in culture, and had higher cycle thresholds and lower viral concentrations, suggesting that children are not the main drivers of SARS-CoV-2 transmission.
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Affiliation(s)
- Jared Bullard
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man.
| | - Duane Funk
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man
| | - Kerry Dust
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man
| | - Lauren Garnett
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man
| | - Kaylie Tran
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man
| | - Alex Bello
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man
| | - James E Strong
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man
| | - Santina J Lee
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man
| | - Jillian Waruk
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man
| | - Adam Hedley
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man
| | - David Alexander
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man
| | - Paul Van Caeseele
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man
| | - Carla Loeppky
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man
| | - Guillaume Poliquin
- Cadham Provincial Laboratory (Bullard, Dust, Hedley, Alexander, Van Caeseele), Manitoba Health; Department of Pediatrics & Child Health (Bullard, Strong, Lee, Van Caeseele, Poliquin), University of Manitoba; National Microbiology Laboratory (Funk, Garnett, Tran, Bello, Strong, Poliquin), Public Health Agency of Canada; Departments of Anesthesiology and Medicine (Funk), Section of Critical Care, University of Manitoba; Department of Medical Microbiology & Infectious Diseases (Garnett, Tran, Bello, Alexander), University of Manitoba; Communicable Disease Control, Public Health (Lee), Manitoba Health; Epidemiology and Surveillance Unit (Waruk, Loeppky), Manitoba Health; Department of Community Health Science (Loeppky), University of Manitoba. Winnipeg, Man
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107
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Zimet GD, Silverman RD, Fortenberry JD. Coronavirus Disease 2019 and Vaccination of Children and Adolescents: Prospects and Challenges. J Pediatr 2021; 231:254-258. [PMID: 33161025 PMCID: PMC7644179 DOI: 10.1016/j.jpeds.2020.11.002] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 10/30/2020] [Accepted: 11/02/2020] [Indexed: 12/15/2022]
Affiliation(s)
- Gregory D Zimet
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN.
| | - Ross D Silverman
- Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN; Indiana University Robert H. McKinney School of Law, Indianapolis, IN
| | - J Dennis Fortenberry
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN
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108
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D'Agostino EM, Armstrong SC, Humphreys L, Coffman S, Sinclair G, Permar SR, Akinboyo IC. Symptomatic SARS-CoV-2 Transmission in Youth and Staff Attending Day Camps. Pediatrics 2021; 147:peds.2020-042416. [PMID: 33536332 DOI: 10.1542/peds.2020-042416] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/13/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES As schools reopen nationwide, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in youth settings remains a concern. Here, we describe transmission of SARS-CoV-2 among >6800 youth and staff at YMCA of the Triangle day camps in North Carolina (March to August 2020). METHODS We performed a retrospective analysis of deidentified SARS-CoV-2 cases reported by YMCA day camps in 6 counties (Chatham, Durham, Johnston, Lee, Orange, Wake) over 147 days. Inclusion criteria were youth and staff who enrolled or worked in camps during the study period. Individual-level youth and staff demographics (age, sex, race and ethnicity) were self-reported and linked to SARS-CoV-2 case data by using unique identifiers. RESULTS Youth (n = 5344; 66% white, 54% male, mean age 8.5 years) had a mean camp attendance rate of 88%; staff (n = 1486) were 64% white and 60% female (mean age 22 years). Seventeen primary SARS-CoV-2 infections occurred during the study period among 9 youth (mean age 9.7 years) and 8 staff (mean age 27 years) who were linked to 3030 contacts present in-person during the week before positive cases. Only 2 secondary infections (1 youth and 1 staff) were linked to primary cases. SARS-CoV-2 primary case attack rate was 0.6% (17/3030), and secondary case transmission rate was 0.07% (2/3011). CONCLUSIONS Extremely low youth and staff symptomatic SARS-CoV-2 attack and transmission rates were observed over a 147-day period across 54 YMCA camps from March to August 2020, when local coronavirus disease 2019 prevalence peaked. These findings suggest that the benefit of in-person programming in recreation settings with appropriate mitigation may outweigh the risk of viral transmission.
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Affiliation(s)
- Emily M D'Agostino
- Departments of Family Medicine and Community Health and .,Population Health Sciences and
| | - Sarah C Armstrong
- Departments of Family Medicine and Community Health and.,Population Health Sciences and.,Department of Pediatrics, School of Medicine, Duke University, Durham, North Carolina.,Duke Global Health Institute, Durham, North Carolina.,Duke Clinical Research Institute, Durham, North Carolina
| | | | | | | | - Sallie R Permar
- Department of Pediatrics, School of Medicine, Duke University, Durham, North Carolina.,Human Vaccine Institute, School of Medicine, Duke University, Durham, North Carolina.,Contributed equally as co-first authors
| | - Ibukunoluwa C Akinboyo
- Department of Pediatrics, School of Medicine, Duke University, Durham, North Carolina.,Contributed equally as co-first authors
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109
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Calzetta L, Ritondo BL, Coppola A, Matera MG, Di Daniele N, Rogliani P. Factors Influencing the Efficacy of COVID-19 Vaccines: A Quantitative Synthesis of Phase III Trials. Vaccines (Basel) 2021; 9:341. [PMID: 33916222 PMCID: PMC8065664 DOI: 10.3390/vaccines9040341] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 03/26/2021] [Accepted: 03/30/2021] [Indexed: 02/06/2023] Open
Abstract
To date, there is still a paucity of data from Phase III trials concerning the efficacy of vaccines against COVID-19. Furthermore, no studies investigated the variables that may modulate the efficacy of vaccination. The aim of this analysis was to assess whether there are modifying factors that may potentially influence the clinical efficacy of COVID-19 vaccines. A quantitative synthesis of data from Phase III trials was performed via pairwise and network meta-analyses, along with meta-regression analysis. Data from Phase III trials are currently available only for AZD1222, BNT162b2, mRNA-1237, and Sputnik V. Vaccination resulted to be generally effective (90.0%, 95%CI 72.6-96.4; p < 0.001), although the efficacy of AZD1222 (62.1%) introduced a significant level of heterogeneity in the meta-analysis (I2 92.17%, p < 0.001). No significant modifying factors resulted from the meta-regression analysis. However, considering the mRNA-based vaccines, a trend toward significance (p = 0.081) resulted for age. The network meta-analysis provided the following rank of effectiveness: BNT162b2 ≃ mRNA-1273 > Sputnik V >> AZD1222. In conclusion, no modifying factors seem to modulate the efficacy of vaccines against COVID-19. This quantitative synthesis will need to be updated as soon as further clinical results on the efficacy profile are available from Phase III trials for further licensed COVID-19 vaccines.
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Affiliation(s)
- Luigino Calzetta
- Respiratory Disease and Lung Function Unit, Department of Medicine and Surgery, University of Parma, 43125 Parma, Italy
| | - Beatrice Ludovica Ritondo
- Unit of Respiratory Medicine, Department of Experimental Medicine, University of Rome “Tor Vergata”, 00133 Rome, Italy; (B.L.R.); (A.C.); (P.R.)
| | - Angelo Coppola
- Unit of Respiratory Medicine, Department of Experimental Medicine, University of Rome “Tor Vergata”, 00133 Rome, Italy; (B.L.R.); (A.C.); (P.R.)
| | - Maria Gabriella Matera
- Department of Experimental Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy;
| | - Nicola Di Daniele
- Department of Systems Medicine, University of Rome “Tor Vergata”, 00133 Rome, Italy;
| | - Paola Rogliani
- Unit of Respiratory Medicine, Department of Experimental Medicine, University of Rome “Tor Vergata”, 00133 Rome, Italy; (B.L.R.); (A.C.); (P.R.)
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110
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Szablewski CM, Chang KT, McDaniel CJ, Chu VT, Yousaf AR, Schwartz NG, Brown M, Winglee K, Paul P, Cui Z, Slayton RB, Tong S, Li Y, Uehara A, Zhang J, Sharkey SM, Kirking HL, Tate JE, Dirlikov E, Fry AM, Hall AJ, Rose DA, Villanueva J, Drenzek C, Stewart RJ, Lanzieri TM. SARS-CoV-2 Transmission Dynamics in a Sleep-Away Camp. Pediatrics 2021; 147:peds.2020-046524. [PMID: 33504612 PMCID: PMC8982574 DOI: 10.1542/peds.2020-046524] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/15/2021] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES In late June 2020, a large outbreak of coronavirus disease 2019 (COVID-19) occurred at a sleep-away youth camp in Georgia, affecting primarily persons ≤21 years. We conducted a retrospective cohort study among campers and staff (attendees) to determine the extent of the outbreak and assess factors contributing to transmission. METHODS Attendees were interviewed to ascertain demographic characteristics, known exposures to COVID-19 and community exposures, and mitigation measures before, during, and after attending camp. COVID-19 case status was determined for all camp attendees on the basis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test results and reported symptoms. We calculated attack rates and instantaneous reproduction numbers and sequenced SARS-CoV-2 viral genomes from the outbreak. RESULTS Among 627 attendees, the median age was 15 years (interquartile range: 12-16 years); 56% (351 of 627) of attendees were female. The attack rate was 56% (351 of 627) among all attendees. On the basis of date of illness onset or first positive test result on a specimen collected, 12 case patients were infected before arriving at camp and 339 case patients were camp associated. Among 288 case patients with available symptom information, 45 (16%) were asymptomatic. Despite cohorting, 50% of attendees reported direct contact with people outside their cabin cohort. On the first day of camp session, the instantaneous reproduction number was 10. Viral genomic diversity was low. CONCLUSIONS Few introductions of SARS-CoV-2 into a youth congregate setting resulted in a large outbreak. Testing strategies should be combined with prearrival quarantine, routine symptom monitoring with appropriate isolation and quarantine, cohorting, social distancing, mask wearing, and enhanced disinfection and hand hygiene. Promotion of mitigation measures among younger populations is needed.
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Affiliation(s)
| | - Karen T. Chang
- COVID-19 Response Team, CDC, Atlanta, GA,Epidemic Intelligence Service, Atlanta, GA
| | | | - Victoria T. Chu
- COVID-19 Response Team, CDC, Atlanta, GA,Epidemic Intelligence Service, Atlanta, GA
| | - Anna R. Yousaf
- COVID-19 Response Team, CDC, Atlanta, GA,Epidemic Intelligence Service, Atlanta, GA
| | - Noah G. Schwartz
- COVID-19 Response Team, CDC, Atlanta, GA,Epidemic Intelligence Service, Atlanta, GA
| | - Marie Brown
- Georgia Department of Public Health, Atlanta, GA
| | | | | | | | | | | | - Yan Li
- COVID-19 Response Team, CDC, Atlanta, GA
| | | | - Jing Zhang
- COVID-19 Response Team, CDC, Atlanta, GA
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111
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Zimmerman KO, Akinboyo IC, Brookhart MA, Boutzoukas AE, McGann KA, Smith MJ, Maradiaga Panayotti G, Armstrong SC, Bristow H, Parker D, Zadrozny S, Weber DJ, Benjamin DK. Incidence and Secondary Transmission of SARS-CoV-2 Infections in Schools. Pediatrics 2021; 147:e2020048090. [PMID: 33419869 PMCID: PMC8015158 DOI: 10.1542/peds.2020-048090] [Citation(s) in RCA: 205] [Impact Index Per Article: 68.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/05/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND In an effort to mitigate the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), North Carolina closed prekindergarten through grade 12 public schools to in-person instruction on March 14, 2020. On July 15, 2020, North Carolina's governor announced schools could open via remote learning or a hybrid model that combined in-person and remote instruction. In August 2020, 56 of 115 North Carolina school districts joined The ABC Science Collaborative (ABCs) to implement public health measures to prevent SARS-CoV-2 transmission and share lessons learned. We describe secondary transmission of SARS-CoV-2 within participating school districts during the first 9 weeks of in-person instruction in the 2020-2021 academic year. METHODS From August 15, 2020 to October 23, 2020, 11 of 56 school districts participating in ABCs were open for in-person instruction for all 9 weeks of the first quarter and agreed to track incidence and secondary transmission of SARS-CoV-2. Local health department staff adjudicated secondary transmission. Superintendents met weekly with ABCs faculty to share lessons learned and develop prevention methods. RESULTS Over 9 weeks, 11 participating school districts had >90 000 students and staff attend school in person. Among these students and staff, 773 community-acquired SARS-CoV-2 infections were documented by molecular testing. Through contact tracing, health department staff determined an additional 32 infections were acquired within schools. No instances of child-to-adult transmission of SARS-CoV-2 were reported within schools. CONCLUSIONS In the first 9 weeks of in-person instruction in North Carolina schools, we found extremely limited within-school secondary transmission of SARS-CoV-2, as determined by contact tracing.
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Affiliation(s)
- Kanecia O Zimmerman
- Duke Clinical Research Institute and
- Departments of Pediatrics and
- The ABC Science Collaborative
| | | | - M Alan Brookhart
- Population Health Sciences, School of Medicine, Duke University, Durham, North Carolina; and
| | | | | | | | | | | | | | | | - Sabrina Zadrozny
- Frank Porter Graham Child Development Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; and
| | - David J Weber
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Daniel K Benjamin
- Duke Clinical Research Institute and
- Departments of Pediatrics and
- The ABC Science Collaborative
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112
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Head JR, Andrejko KL, Cheng Q, Collender PA, Phillips S, Boser A, Heaney AK, Hoover CM, Wu SL, Northrup GR, Click K, Bardach NS, Lewnard JA, Remais JV. School closures reduced social mixing of children during COVID-19 with implications for transmission risk and school reopening policies. J R Soc Interface 2021; 18:20200970. [PMID: 33849340 PMCID: PMC8086933 DOI: 10.1098/rsif.2020.0970] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 03/24/2021] [Indexed: 12/14/2022] Open
Abstract
School closures may reduce the size of social networks among children, potentially limiting infectious disease transmission. To estimate the impact of K-12 closures and reopening policies on children's social interactions and COVID-19 incidence in California's Bay Area, we collected data on children's social contacts and assessed implications for transmission using an individual-based model. Elementary and Hispanic children had more contacts during closures than high school and non-Hispanic children, respectively. We estimated that spring 2020 closures of elementary schools averted 2167 cases in the Bay Area (95% CI: -985, 5572), fewer than middle (5884; 95% CI: 1478, 11.550), high school (8650; 95% CI: 3054, 15 940) and workplace (15 813; 95% CI: 9963, 22 617) closures. Under assumptions of moderate community transmission, we estimated that reopening for a four-month semester without any precautions will increase symptomatic illness among high school teachers (an additional 40.7% expected to experience symptomatic infection, 95% CI: 1.9, 61.1), middle school teachers (37.2%, 95% CI: 4.6, 58.1) and elementary school teachers (4.1%, 95% CI: -1.7, 12.0). However, we found that reopening policies for elementary schools that combine universal masking with classroom cohorts could result in few within-school transmissions, while high schools may require masking plus a staggered hybrid schedule. Stronger community interventions (e.g. remote work, social distancing) decreased the risk of within-school transmission across all measures studied, with the influence of community transmission minimized as the effectiveness of the within-school measures increased.
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Affiliation(s)
- Jennifer R. Head
- Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA
| | - Kristin L. Andrejko
- Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA
| | - Qu Cheng
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Philip A. Collender
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Sophie Phillips
- College of Letters and Science, University of California, Berkeley, CA, USA
| | - Anna Boser
- College of Letters and Science, University of California, Berkeley, CA, USA
| | - Alexandra K. Heaney
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Christopher M. Hoover
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Sean L. Wu
- Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA
| | - Graham R. Northrup
- Center for Computational Biology, College of Engineering, University of California, Berkeley, CA, USA
| | - Karen Click
- Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA
| | - Naomi S. Bardach
- Department of Pediatrics, School of Medicine, University of California, San Francisco, CA, USA
| | - Joseph A. Lewnard
- Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA
- Center for Computational Biology, College of Engineering, University of California, Berkeley, CA, USA
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, CA, USA
| | - Justin V. Remais
- College of Letters and Science, University of California, Berkeley, CA, USA
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Abstract
Objectives: Summer camp can positively affect self-esteem and social skills. Most United States summer camps did not open during 2020 because of concerns about severe acute respiratory syndrome coronavirus 2 (SARS-COV-2). Our objective is to describe exclusion strategies successfully used by 2 summer camps in Maine. Methods: Before camp arrival, all attendees were asked to quarantine at home for 14 d and perform a daily symptom checklist. Salivary specimens were submitted by mail for SARS-COV-2 PCR testing 4 d before arrival, and again 4 d after arrival. At camp, multiple layers of nonpharmaceutical interventions (NPIs) were used. Results: A total of 717 (96.7%) prospective attendees underwent remotely supervised saliva collection; 4 were positive and did not come to camp. Among the 20 who did not submit a sample, 3 did not come to camp; the other 17 underwent screening and a rapid antigen test for SARS-COV-2 immediately upon arrival and before reporting to communal living spaces; all were negative. All campers and staff were re-tested by salivary polymerase chain reaction 4 d after arrival, and all were negative. Conclusions: We demonstrate that it is possible to safely operate overnight camps during a pandemic, thus supporting the continued physical and socioemotional growth of children, using multiple layers of NPIs.
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114
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Johnson KE, Stoddard M, Nolan RP, White DE, Hochberg NS, Chakravarty A. In the long shadow of our best intentions: Model-based assessment of the consequences of school reopening during the COVID-19 pandemic. PLoS One 2021; 16:e0248509. [PMID: 33765026 PMCID: PMC7993767 DOI: 10.1371/journal.pone.0248509] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 02/26/2021] [Indexed: 01/10/2023] Open
Abstract
As the world grapples with the ongoing COVID-19 pandemic, a particularly thorny set of questions surrounds the reopening of primary and secondary (K-12) schools. The benefits of in-person learning are numerous, in terms of education quality, mental health, emotional well-being, equity and access to food and shelter. Early reports suggested that children might have reduced susceptibility to COVID-19, and children have been shown to experience fewer complications than older adults. Over the past few months, our understanding of COVID-19 has been further shaped by emerging data, and it is now understood that children are as susceptible to infection as adults and have a similar viral load during infection, even if asymptomatic. Based on this updated understanding of the disease, we have used epidemiological modeling to explore the feasibility and consequences of school reopening in the face of differing rates of COVID-19 prevalence and transmission. We focused our analysis on the United States, but the results are applicable to other countries as well. We demonstrate the potential for a large discrepancy between detected cases and true infections in schools due to the combination of high asymptomatic rates in children coupled with delays in seeking testing and receiving results from diagnostic tests. Our findings indicate that, regardless of the initial prevalence of the disease, and in the absence of robust surveillance testing and contact-tracing, most schools in the United States can expect to remain open for 20-60 days without the emergence of sizeable disease clusters. At this point, even if schools choose to close after outbreaks occur, COVID-19 cases will be seeded from these school clusters and amplified into the community. Thus, our findings suggest that the debate between the risks to student safety and benefits of in-person learning frames a false dual choice. Reopening schools without surveillance testing and contact tracing measures in place will lead to spread within the schools and within the communities that eventually forces a return to remote learning and leaves a trail of infection in its wake.
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Affiliation(s)
- Kaitlyn E. Johnson
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, United States of America
- Fractal Therapeutics, Cambridge, MA, United States of America
| | | | - Ryan P. Nolan
- Halozyme Therapeutics, San Diego, CA, United States of America
| | | | - Natasha S. Hochberg
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America
- Department of Medicine, Boston University School of Medicine, Boston, MA, United States of America
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115
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Willeit P, Krause R, Lamprecht B, Berghold A, Hanson B, Stelzl E, Stoiber H, Zuber J, Heinen R, Köhler A, Bernhard D, Borena W, Doppler C, von Laer D, Schmidt H, Pröll J, Steinmetz I, Wagner M. Prevalence of RT-qPCR-detected SARS-CoV-2 infection at schools: First results from the Austrian School-SARS-CoV-2 prospective cohort study. THE LANCET REGIONAL HEALTH. EUROPE 2021; 5:100086. [PMID: 34396360 PMCID: PMC8350968 DOI: 10.1016/j.lanepe.2021.100086] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND The role of schools in the SARS-CoV-2 pandemic is much debated. We aimed to quantify reliably the prevalence of SARS-CoV-2 infections at schools detected with reverse-transcription quantitative polymerase-chain-reaction (RT-qPCR). METHODS This nationwide prospective cohort study monitors a representative sample of pupils (grade 1-8) and teachers at Austrian schools throughout the school year 2020/2021. We repeatedly test participants for SARS-CoV-2 infection using a gargling solution and RT-qPCR. We herein report on the first two rounds of examinations. We used mixed-effects logistic regression to estimate odds ratios and robust 95% confidence intervals (95% CI). FINDINGS We analysed data on 10,734 participants from 245 schools (9465 pupils, 1269 teachers). Prevalence of SARS-CoV-2 infection increased from 0·39% at round 1 (95% CI 028-0·55%, 28 September-22 October 2020) to 1·39% at round 2 (95% CI 1·04-1·85%, 10-16 November). Odds ratios for SARS-CoV-2 infection were 2·26 (95% CI 1·25-4·12, P = 0·007) in regions with >500 vs. ≤500 inhabitants/km2, 1·67 (95% CI 1·42-1·97, P<0·001) per two-fold higher regional 7-day community incidence, and 2·78 (95% CI 1·73-4·48, P<0·001) in pupils at schools with high/very high vs. low/moderate social deprivation. Associations of regional community incidence and social deprivation persisted in a multivariable adjusted model. Prevalence did not differ by average number of pupils per class nor between age groups, sexes, pupils vs. teachers, or primary (grade 1-4) vs. secondary schools (grade 5-8). INTERPRETATION This monitoring study in Austrian schools revealed SARS-CoV-2 infection in 0·39%-1·39% of participants and identified associations of regional community incidence and social deprivation with higher prevalence. FUNDING BMBWF Austria.
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Affiliation(s)
- Peter Willeit
- Clinical Epidemiology Team, Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria,Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK,Corresponding author at: Clinical Epidemiology Team, Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria.
| | - Robert Krause
- Section of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Medical University of Graz, Graz, Austria and BioTechMed-Graz, Graz, Austria
| | - Bernd Lamprecht
- Department of Pulmonology, Faculty of Medicine, Kepler-University-Hospital, Johannes Kepler University Linz, Linz, Austria
| | - Andrea Berghold
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Buck Hanson
- Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, Althanstrasse 14, 1090 Vienna, Austria,Vienna Covid-19 Detection Initiative, Vienna, Austria
| | - Evelyn Stelzl
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Heribert Stoiber
- Institute of Virology, Medical University Innsbruck, Innsbruck, Austria
| | - Johannes Zuber
- Vienna Covid-19 Detection Initiative, Vienna, Austria,IMP - Research Institute of Molecular Pathology, Vienna, Austria
| | - Robert Heinen
- Vienna Covid-19 Detection Initiative, Vienna, Austria,Gregor Mendel Institute of Molecular Plant Biology, Austrian Academy of Sciences, Vienna, Austria
| | - Alwin Köhler
- Vienna Covid-19 Detection Initiative, Vienna, Austria,Max Perutz Labs, University of Vienna, Vienna, Austria
| | - David Bernhard
- Center for Medical Research, Faculty of Medicine, Johannes Kepler University Linz, Linz, Austria,Division of Pathophysiology, Institute of Physiology and Pathophysiology, Johannes Kepler University Linz, Linz, Austria
| | - Wegene Borena
- Institute of Virology, Medical University Innsbruck, Innsbruck, Austria
| | - Christian Doppler
- Center for Medical Research, Faculty of Medicine, Johannes Kepler University Linz, Linz, Austria,Division of Pathophysiology, Institute of Physiology and Pathophysiology, Johannes Kepler University Linz, Linz, Austria
| | - Dorothee von Laer
- Institute of Virology, Medical University Innsbruck, Innsbruck, Austria
| | - Hannes Schmidt
- Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, Althanstrasse 14, 1090 Vienna, Austria,Vienna Covid-19 Detection Initiative, Vienna, Austria
| | - Johannes Pröll
- Center for Medical Research, Faculty of Medicine, Johannes Kepler University Linz, Linz, Austria
| | - Ivo Steinmetz
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Michael Wagner
- Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, Althanstrasse 14, 1090 Vienna, Austria,Vienna Covid-19 Detection Initiative, Vienna, Austria,Center for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark,Corresponding author at: Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, Althanstrasse 14, 1090 Vienna, Austria.
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116
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Landeros A, Ji X, Lange K, Stutz TC, Xu J, Sehl ME, Sinsheimer JS. An examination of school reopening strategies during the SARS-CoV-2 pandemic. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2021:2020.08.05.20169086. [PMID: 32793918 PMCID: PMC7418733 DOI: 10.1101/2020.08.05.20169086] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The SARS-CoV-2 pandemic led to closure of nearly all K-12 schools in the United States of America in March 2020. Although reopening K-12 schools for in-person schooling is desirable for many reasons, officials understand that risk reduction strategies and detection of cases are imperative in creating a safe return to school. Furthermore, consequences of reclosing recently opened schools are substantial and impact teachers, parents, and ultimately educational experiences in children. To address competing interests in meeting educational needs with public safety, we compare the impact of physical separation through school cohorts on SARS-CoV-2 infections against policies acting at the level of individual contacts within classrooms. Using an age-stratified Susceptible-Exposed-Infected-Removed model, we explore influences of reduced class density, transmission mitigation, and viral detection on cumulative prevalence. We consider several scenarios over a 6-month period including (1) multiple rotating cohorts in which students cycle through in-person instruction on a weekly basis, (2) parallel cohorts with in-person and remote learning tracks, (3) the impact of a hypothetical testing program with ideal and imperfect detection, and (4) varying levels of aggregate transmission reduction. Our mathematical model predicts that reducing the number of contacts through cohorts produces a larger effect than diminishing transmission rates per contact. Specifically, the latter approach requires dramatic reduction in transmission rates in order to achieve a comparable effect in minimizing infections over time. Further, our model indicates that surveillance programs using less sensitive tests may be adequate in monitoring infections within a school community by both keeping infections low and allowing for a longer period of instruction. Lastly, we underscore the importance of factoring infection prevalence in deciding when a local outbreak of infection is serious enough to require reverting to remote learning.
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Affiliation(s)
- Alfonso Landeros
- Department of Computational Medicine, UCLA, Los Angeles, CA, USA
| | - Xiang Ji
- Department of Mathematics, Tulane University, New Orleans, LA, USA
| | - Kenneth Lange
- Department of Computational Medicine, UCLA, Los Angeles, CA, USA
- Department of Human Genetics, UCLA, Los Angeles, CA, USA
- Department of Statistics, UCLA, Los Angeles, CA, USA
| | - Timothy C. Stutz
- Department of Computational Medicine, UCLA, Los Angeles, CA, USA
| | - Jason Xu
- Department of Statistical Science, Durham, Duke University, NC, USA
| | - Mary E. Sehl
- Department of Computational Medicine, UCLA, Los Angeles, CA, USA
- Division of Hematology-Oncology, Department of Medicine, UCLA, Los Angeles, CA, USA
| | - Janet S. Sinsheimer
- Department of Computational Medicine, UCLA, Los Angeles, CA, USA
- Department of Human Genetics, UCLA, Los Angeles, CA, USA
- Department of Biostatistics, UCLA, Los Angeles, CA, USA
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117
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Volpp KG, Kraut BH, Ghosh S, Neatherlin J. Minimal SARS-CoV-2 Transmission After Implementation of a Comprehensive Mitigation Strategy at a School - New Jersey, August 20-November 27, 2020. MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT 2021; 70:377-381. [PMID: 33735161 PMCID: PMC7976619 DOI: 10.15585/mmwr.mm7011a2] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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118
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Ulyte A, Radtke T, Abela IA, Haile SR, Berger C, Huber M, Schanz M, Schwarzmueller M, Trkola A, Fehr J, Puhan MA, Kriemler S. Clustering and longitudinal change in SARS-CoV-2 seroprevalence in school children in the canton of Zurich, Switzerland: prospective cohort study of 55 schools. BMJ 2021; 372:n616. [PMID: 33731327 PMCID: PMC7966948 DOI: 10.1136/bmj.n616] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/02/2021] [Indexed: 12/27/2022]
Abstract
OBJECTIVES To examine longitudinal changes in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroprevalence and to determine the clustering of children who were seropositive within school classes in the canton of Zurich, Switzerland from June to November 2020. DESIGN Prospective cohort study. SETTING Switzerland had one of the highest second waves of the SARS-CoV-2 pandemic in Europe in autumn 2020. Keeping schools open provided a moderate to high exposure environment to study SARS-CoV-2 infections. Children from randomly selected schools and classes, stratified by district, were invited for serological testing of SARS-CoV-2. Parents completed questionnaires on sociodemographic and health related questions. PARTICIPANTS 275 classes in 55 schools; 2603 children participated in June-July 2020 and 2552 in October-November 2020 (age range 6-16 years). MAIN OUTCOME MEASURES Serology of SARS-CoV-2 in June-July and October-November 2020, clustering of children who were seropositive within classes, and symptoms in children. RESULTS In June-July, 74 of 2496 children with serological results were seropositive; in October-November, the number had increased to 173 of 2503. Overall SARS-CoV-2 seroprevalence was 2.4% (95% credible interval 1.4% to 3.6%) in the summer and 4.5% (3.2% to 6.0%) in late autumn in children who were not previously seropositive, leading to an estimated 7.8% (6.2% to 9.5%) of children who were ever seropositive. Seroprevalence varied across districts (in the autumn, 1.7-15.0%). No significant differences were found among lower, middle, and upper school levels (children aged 6-9 years, 9-13 years, and 12-16 years, respectively). Among the 2223 children who had serology tests at both testing rounds, 28/70 (40%) who were previously seropositive became seronegative, and 109/2153 (5%) who were previously seronegative became seropositive. Symptoms were reported for 22% of children who were seronegative and 29% of children who were newly seropositive since the summer. Between July and November 2020, the ratio of children diagnosed with SARS-CoV-2 infection to those who were seropositive was 1 to 8. At least one child who was newly seropositive was detected in 47 of 55 schools and in 90 of 275 classes. Among 130 classes with a high participation rate, no children who were seropositive were found in 73 (56%) classes, one or two children were seropositive in 50 (38%) classes, and at least three children were seropositive in 7 (5%) classes. Class level explained 24% and school level 8% of variance in seropositivity in the multilevel logistic regression models. CONCLUSIONS With schools open since August 2020 and some preventive measures in place, clustering of children who were seropositive occurred in only a few classes despite an increase in overall seroprevalence during a period of moderate to high transmission of SARS-CoV-2 in the community. Uncertainty remains as to whether these findings will change with the new variants of SARS-CoV-2 and dynamic levels of community transmission. TRIAL REGISTRATION NCT04448717.
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Affiliation(s)
- Agne Ulyte
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland
| | - Thomas Radtke
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland
| | - Irene A Abela
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Sarah R Haile
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland
| | | | - Michael Huber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Merle Schanz
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | | | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Jan Fehr
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Milo A Puhan
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland
| | - Susi Kriemler
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland
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119
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Rumain B, Schneiderman M, Geliebter A. Prevalence of COVID-19 in adolescents and youth compared with older adults in states experiencing surges. PLoS One 2021; 16:e0242587. [PMID: 33690600 PMCID: PMC7946189 DOI: 10.1371/journal.pone.0242587] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 02/15/2021] [Indexed: 01/02/2023] Open
Abstract
PURPOSE There has been considerable controversy regarding susceptibility of adolescents (10-19 years) and youth (15-24 years) to COVID-19. However, a number of studies have reported that adolescents are significantly less susceptible than older adults. Summer 2020 provided an opportunity to examine data on prevalence since after months of lockdowns, with the easing of restrictions, people were mingling, leading to surges in cases. METHODS We examined data from Departments of Health websites in six U.S. states experiencing surges in cases to determine prevalence of COVID-19, and two prevalence-related measures, in adolescents and youth as compared to older adults. The two other measures related to prevalence were: (Percentage of cases observed in a given age group) ÷ (percentage of cases expected based on population demographics); and percentage deviation, or [(% observed-% expected)/ % expected] x 100. RESULTS Prevalence of COVID-19 for adolescents and for youth was significantly greater than for older adults (p < .00001), as was percentage observed ÷ percentage expected (p < .005). The percentage deviation was significantly greater in adolescents/youth than in older adults (p < 0.00001) when there was an excess of observed cases over what was expected, and significantly less when observed cases were fewer than expected (p< 0.00001). CONCLUSIONS Our results are contrary to previous findings that adolescents are less susceptible than older adults. Possible reasons for the findings are suggested, and we note that public health messaging targeting adolescents and youth might be helpful in curbing the pandemic. Also, the findings of the potential for high transmission among adolescents and youth, should be factored into decisions regarding school reopening.
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Affiliation(s)
- Barbara Rumain
- Department of Pediatrics, New York Medical College, Valhalla, New York, United States of America
- Department of Psychology, Touro College & University System, New York, New York, United States of America
| | - Moshe Schneiderman
- SUNY Downstate College of Medicine, Brooklyn, New York, United States of America
| | - Allan Geliebter
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
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120
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Abstract
Many countries closed schools during the pandemic to contain the spread of SARS-CoV-2. Sweden closed upper-secondary schools, while lower-secondary schools remained open, allowing for an evaluation of school closures. This study analyzes the impact of school closures on the spread of SARS-CoV-2 by comparing groups exposed and not exposed to open schools. We find that exposure to open schools resulted in a small increase in infections among parents. Among teachers, the infection rate doubled, and infections spilled over to their partners. This suggests that keeping lower-secondary schools open had a minor impact on the overall spread of SARS-CoV-2 in society. However, teachers are affected, and measures to protect them could be considered. To reduce the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), most countries closed schools, despite uncertainty if school closures are an effective containment measure. At the onset of the pandemic, Swedish upper-secondary schools moved to online instruction, while lower-secondary schools remained open. This allows for a comparison of parents and teachers differently exposed to open and closed schools, but otherwise facing similar conditions. Leveraging rich Swedish register data, we connect all students and teachers in Sweden to their families and study the impact of moving to online instruction on the incidence of SARS-CoV-2 and COVID-19. We find that, among parents, exposure to open rather than closed schools resulted in a small increase in PCR-confirmed infections (odds ratio [OR] 1.17; 95% CI [CI95] 1.03 to 1.32). Among lower-secondary teachers, the infection rate doubled relative to upper-secondary teachers (OR 2.01; CI95 1.52 to 2.67). This spilled over to the partners of lower-secondary teachers, who had a higher infection rate than their upper-secondary counterparts (OR 1.29; CI95 1.00 to 1.67). When analyzing COVID-19 diagnoses from healthcare visits and the incidence of severe health outcomes, results are similar for teachers, but weaker for parents and teachers’ partners. The results for parents indicate that keeping lower-secondary schools open had minor consequences for the overall transmission of SARS-CoV-2 in society. The results for teachers suggest that measures to protect teachers could be considered.
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121
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Anomaly detection of mobile positioning data with applications to COVID-19 situational awareness. JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCE 2021; 4:763-781. [PMID: 35425884 PMCID: PMC7934126 DOI: 10.1007/s42081-021-00109-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 01/23/2021] [Indexed: 10/31/2022]
Abstract
Due to an unprecedented agreement with the European Mobile Network Operators, the Joint Research Centre of the European Commission was in charge of collecting and analyze mobile positioning data to provide scientific evidence to policy makers to face the COVID-19 pandemic. This work introduces a live anomaly detection system for these high-frequency and high-dimensional data collected at European scale. To take into account the different granularity in time and space of the data, the system has been designed to be simple, yet robust to the data diversity, with the aim of detecting abrupt increase of mobility towards specific regions as well as sudden drops of movements. A web application designed for policy makers, makes possible to visualize the anomalies and perceive the effect of containment and lifting measures in terms of their impact on human mobility as well as spot potential new outbreaks related to large gatherings.
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122
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Bulfone TC, Malekinejad M, Rutherford GW, Razani N. Outdoor Transmission of SARS-CoV-2 and Other Respiratory Viruses: A Systematic Review. J Infect Dis 2021; 223:550-561. [PMID: 33249484 PMCID: PMC7798940 DOI: 10.1093/infdis/jiaa742] [Citation(s) in RCA: 192] [Impact Index Per Article: 64.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 11/27/2020] [Indexed: 12/27/2022] Open
Abstract
Background While risk of outdoor transmission of respiratory viral infections is hypothesized to be low, there is limited data of SARS-CoV-2 transmission in outdoor compared to indoor settings. Methods We conducted a systematic review of peer-reviewed papers indexed in PubMed, EMBASE and Web of Science and pre-prints in Europe PMC through August 12 th, 2020 that described cases of human transmission of SARS-CoV-2. Reports of other respiratory virus transmission were included for reference. Results Five identified studies found that a low proportion of reported global SARS-CoV-2 infections have occurred outdoors (<10%) and the odds of indoor transmission was very high compared to outdoors (18.7 times; 95% CI 6.0, 57.9). Five studies described influenza transmission outdoors and two described adenovirus transmission outdoors. There was high heterogeneity in study quality and individual definitions of outdoor settings which limited our ability to draw conclusions about outdoor transmission risks. In general, factors such as duration and frequency of personal contact, lack of personal protective equipment and occasional indoor gathering during a largely outdoor experience were associated with outdoor reports of infection. Conclusion Existing evidence supports the wide-held belief that the the risk of SARS-CoV-2 transmission is lower outdoors but there are significant gaps in our understanding of specific pathways.
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Affiliation(s)
- Tommaso Celeste Bulfone
- Joint Medical Program, University of California Berkeley-University of California San Francisco, Berkeley, California, USA
| | - Mohsen Malekinejad
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - George W Rutherford
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.,Department of Pediatrics, University of California San Francisco, San Francisco, California, USA
| | - Nooshin Razani
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.,Department of Pediatrics, University of California San Francisco, San Francisco, California, USA
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123
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Pathangey G, Fadadu PP, Hospodar AR, Abbas AE. Angiotensin-converting enzyme 2 and COVID-19: patients, comorbidities, and therapies. Am J Physiol Lung Cell Mol Physiol 2021; 320:L301-L330. [PMID: 33237815 PMCID: PMC7938645 DOI: 10.1152/ajplung.00259.2020] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 11/19/2020] [Accepted: 11/24/2020] [Indexed: 02/07/2023] Open
Abstract
On March 11, 2020, the World Health Organization declared coronavirus disease 2019 (COVID-19) a pandemic, and the reality of the situation has finally caught up to the widespread reach of the disease. The presentation of the disease is highly variable, ranging from asymptomatic carriers to critical COVID-19. The availability of angiotensin-converting enzyme 2 (ACE2) receptors may reportedly increase the susceptibility and/or disease progression of COVID-19. Comorbidities and risk factors have also been noted to increase COVID-19 susceptibility. In this paper, we hereby review the evidence pertaining to ACE2's relationship to common comorbidities, risk factors, and therapies associated with the susceptibility and severity of COVID-19. We also highlight gaps of knowledge that require further investigation. The primary comorbidities of respiratory disease, cardiovascular disease, renal disease, diabetes, obesity, and hypertension had strong evidence. The secondary risk factors of age, sex, and race/genetics had limited-to-moderate evidence. The tertiary factors of ACE inhibitors and angiotensin II receptor blockers had limited-to-moderate evidence. Ibuprofen and thiazolidinediones had limited evidence.
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Affiliation(s)
- Girish Pathangey
- William Beaumont School of Medicine, Oakland University, Rochester, Michigan
| | | | | | - Amr E Abbas
- William Beaumont School of Medicine, Oakland University, Rochester, Michigan
- Department of Cardiovascular Medicine, Beaumont Hospital Royal Oak, Royal Oak, Michigan
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124
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Poletti P, Tirani M, Cereda D, Trentini F, Guzzetta G, Sabatino G, Marziano V, Castrofino A, Grosso F, Del Castillo G, Piccarreta R, Andreassi A, Melegaro A, Gramegna M, Ajelli M, Merler S. Association of Age With Likelihood of Developing Symptoms and Critical Disease Among Close Contacts Exposed to Patients With Confirmed SARS-CoV-2 Infection in Italy. JAMA Netw Open 2021; 4:e211085. [PMID: 33688964 PMCID: PMC7948061 DOI: 10.1001/jamanetworkopen.2021.1085] [Citation(s) in RCA: 102] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 01/19/2021] [Indexed: 12/23/2022] Open
Abstract
Importance Solid estimates of the risk of developing symptoms and of progressing to critical disease in individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are key to interpreting coronavirus disease 2019 (COVID-19) dynamics, identifying the settings and the segments of the population where transmission is more likely to remain undetected, and defining effective control strategies. Objective To estimate the association of age with the likelihood of developing symptoms and the association of age with the likelihood of progressing to critical illness after SARS-CoV-2 infection. Design, Setting, and Participants This cohort study analyzed quarantined case contacts, identified between February 20 and April 16, 2020, in the Lombardy region of Italy. Contacts were monitored daily for symptoms and tested for SARS-CoV-2 infection, by either real-time reverse transcriptase-polymerase chain reaction using nasopharyngeal swabs or retrospectively via IgG serological assays. Close contacts of individuals with laboratory-confirmed COVID-19 were selected as those belonging to clusters (ie, groups of contacts associated with an index case) where all individuals were followed up for symptoms and tested for SARS-CoV-2 infection. Data were analyzed from February to June 2020. Exposure Close contact with individuals with confirmed COVID-19 cases as identified by contact tracing operations. Main Outcomes and Measures Age-specific estimates of the risk of developing respiratory symptoms or fever greater than or equal to 37.5 °C and of experiencing critical disease (defined as requiring intensive care or resulting in death) in SARS-CoV-2-infected case contacts. Results In total, 5484 case contacts (median [interquartile range] age, 50 [30-61] years; 3086 female contacts [56.3%]) were analyzed, 2824 of whom (51.5%) tested positive for SARS-CoV-2 (median [interquartile range] age, 53 [34-64] years; 1604 female contacts [56.8%]). The proportion of infected persons who developed symptoms ranged from 18.1% (95% CI, 13.9%-22.9%) among participants younger than 20 years to 64.6% (95% CI, 56.6%-72.0%) for those aged 80 years or older. Most infected contacts (1948 of 2824 individuals [69.0%]) did not develop respiratory symptoms or fever greater than or equal to 37.5 °C. Only 26.1% (95% CI, 24.1%-28.2%) of infected individuals younger than 60 years developed respiratory symptoms or fever greater than or equal to 37.5 °C; among infected participants older than 60 years, 6.6% (95% CI, 5.1%-8.3%) developed critical disease. Female patients were 52.7% (95% CI, 24.4%-70.7%) less likely than male patients to develop critical disease after SARS-CoV-2 infection. Conclusions and Relevance In this Italian cohort study of close contacts of patients with confirmed SARS-CoV-2 infection, more than one-half of individuals tested positive for the virus. However, most infected individuals did not develop respiratory symptoms or fever. The low proportion of children and young adults who developed symptoms highlights the possible challenges in readily identifying SARS-CoV-2 infections.
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Affiliation(s)
| | - Marcello Tirani
- Directorate General for Health, Lombardy Region, Milan, Italy
- Health Protection Agency of Pavia, Pavia, Italy
| | - Danilo Cereda
- Directorate General for Health, Lombardy Region, Milan, Italy
| | | | | | | | | | - Ambra Castrofino
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Francesca Grosso
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | | | - Raffaella Piccarreta
- Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy
- Department of Decision Sciences, Bocconi University, Milan, Italy
- CovidCrisisLab, Bocconi University, Milan, Italy
| | - Aida Andreassi
- Directorate General for Health, Lombardy Region, Milan, Italy
| | - Alessia Melegaro
- Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy
- CovidCrisisLab, Bocconi University, Milan, Italy
- Department of Social and Political Sciences, Bocconi University, Milan, Italy
| | - Maria Gramegna
- Directorate General for Health, Lombardy Region, Milan, Italy
| | - Marco Ajelli
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, Massachusetts
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125
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Rubens JH, Akindele NP, Tschudy MM, Sick-Samuels AC. Acute covid-19 and multisystem inflammatory syndrome in children. BMJ 2021; 372:n385. [PMID: 33648933 DOI: 10.1136/bmj.n385] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Jessica H Rubens
- Johns Hopkins University School of Medicine, Department of Pediatrics, Division of Infectious Diseases, Baltimore, MD, USA
| | - Nadine Peart Akindele
- Johns Hopkins University School of Medicine, Department of Pediatrics, Division of Infectious Diseases, Baltimore, MD, USA
| | - Megan M Tschudy
- Johns Hopkins University School of Medicine, Department of Pediatrics, Division of General Pediatrics, Baltimore, MD, USA
| | - Anna C Sick-Samuels
- Johns Hopkins University School of Medicine, Department of Pediatrics, Division of Infectious Diseases, Baltimore, MD, USA
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126
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Flasche S, Edmunds WJ. The role of schools and school-aged children in SARS-CoV-2 transmission. THE LANCET. INFECTIOUS DISEASES 2021; 21:298-299. [PMID: 33306982 PMCID: PMC7837086 DOI: 10.1016/s1473-3099(20)30927-0] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 11/24/2020] [Indexed: 01/26/2023]
Affiliation(s)
- Stefan Flasche
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK.
| | - W John Edmunds
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK
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127
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Yang J, Zheng W, Shi H, Yan X, Dong K, You Q, Zhong G, Gong H, Chen Z, Jit M, Viboud C, Ajelli M, Yu H. Who should be prioritized for COVID-19 vaccination in China? A descriptive study. BMC Med 2021; 19:45. [PMID: 33563270 PMCID: PMC7872877 DOI: 10.1186/s12916-021-01923-8] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 01/20/2021] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND All countries are facing decisions about which population groups to prioritize for access to COVID-19 vaccination after the first vaccine products have been licensed, at which time supply shortages are inevitable. Our objective is to define the key target populations, their size, and priority for a COVID-19 vaccination program in the context of China. METHODS On the basis of utilitarian and egalitarian principles, we define and estimate the size of tiered target population groups for a phased introduction of COVID-19 vaccination, considering evolving goals as vaccine supplies increase, detailed information on the risk of illness and transmission, and past experience with vaccination during the 2009 influenza pandemic. Using publicly available data, we estimated the size of target population groups, and the number of days needed to vaccinate 70% of the target population. Sensitivity analyses considered higher vaccine coverages and scaled up vaccine delivery relative to the 2009 pandemic. RESULTS Essential workers, including staff in the healthcare, law enforcement, security, nursing homes, social welfare institutes, community services, energy, food and transportation sectors, and overseas workers/students (49.7 million) could be prioritized for vaccination to maintain essential services in the early phase of a vaccination program. Subsequently, older adults, individuals with underlying health conditions and pregnant women (563.6 million) could be targeted for vaccination to reduce the number of individuals with severe COVID-19 outcomes, including hospitalizations, critical care admissions, and deaths. In later stages, the vaccination program could be further extended to target adults without underlying health conditions and children (784.8 million), in order to reduce symptomatic infections and/or to stop virus transmission. Given 10 million doses administered per day, and a two-dose vaccination schedule, it would take 1 week to vaccinate essential workers but likely up to 7 months to vaccinate 70% of the overall population. CONCLUSIONS The proposed framework is general but could assist Chinese policy-makers in the design of a vaccination program. Additionally, this exercise could be generalized to inform other national and regional strategies for use of COVID-19 vaccines, especially in low- and middle-income countries.
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Affiliation(s)
- Juan Yang
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Wen Zheng
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Huilin Shi
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Xuemei Yan
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Kaige Dong
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Qian You
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Guangjie Zhong
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Hui Gong
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Zhiyuan Chen
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Mark Jit
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Special Administrative Region, Hong Kong, China
| | - Cecile Viboud
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
| | - Marco Ajelli
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA
| | - Hongjie Yu
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.
- Department of infectious diseases, Huashan Hospital, Fudan University, Shanghai, China.
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Villani A, Coltella L, Ranno S, Bianchi di Castelbianco F, Murru PM, Sonnino R, Mazzone T, Piccioni L, Linardos G, Chiavelli S, Pontarelli F, Corsello G, Raponi M, Perno CF, Concato C. School in Italy: a safe place for children and adolescents. Ital J Pediatr 2021; 47:23. [PMID: 33531046 PMCID: PMC7851807 DOI: 10.1186/s13052-021-00978-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 01/22/2021] [Indexed: 02/06/2023] Open
Abstract
Background During the first SARS-CoV-2 pandemic phase, the sudden closure of schools was one of the main measures to minimize the spread of the virus. In the second phase, several safety procedures were implemented to avoid school closure. To evaluate if the school is a safe place, students and staff of two school complexes of Rome were monitored to evaluate the efficacy of prevention measures inside the school buildings. Methods Oral secretions specimens were collected from 1262 subjects for a total of 3431 samples, collected over a 3 months period. Detection of Coronavirus SARS-CoV-2 was performed by real-time PCR. Target genes were represented by E gene, RdRP/S gene and N gene. Results Among the 3431 samples analyzed, just 16 sample resulted as positive or low positive: 1 sample in the first month, 12 samples in the second month and 3 in the third month. In each period of evaluation, all positive children attended different classes. Conclusions Even if the school has the potential for spreading viruses, our preliminary results show the efficacy of the implementations undertaken in this setting to minimize virus diffusion. Our evidence suggests that school does not act as an amplifier for transmission of SARS-CoV-2 and can be really considered a safe place for students.
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Abstract
PURPOSE OF REVIEW Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the novel coronavirus that causes coronavirus disease 2019 (COVID-19), has caused substantial morbidity and mortality. Operation Warp Speed aims to accelerate the development of a safe and effective vaccine by early 2021. Multiple vaccine candidates with reassuring safety and efficacy profiles have advanced to phase 3 clinical trials in adults. The purpose of this review is to describe the burden of COVID-19 in children, to update pediatricians about adult COVID-19 vaccine clinical trials, to discuss the importance of COVID-19 vaccine trials in children and to instill confidence in the established vaccine development and licensure processes. RECENT FINDINGS Children of all ages are at risk for SARS-CoV-2 infection and severe disease manifestations. Children are also susceptible to downstream effects of COVID-19, including social isolation and interruption in education. Developing a pediatric COVID-19 vaccine could prevent disease, mitigate downstream effects and enable children to re-engage in their world. SUMMARY Children could benefit both directly and indirectly from vaccination. In light of the safety and immunogenicity results from recent adult COVID-19 vaccine clinical trials, children should have the opportunity to be included in clinical trials in parallel to ongoing adult phase 3 clinical trials in a manner that is careful, methodical and transparent.
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Affiliation(s)
| | - Christina A Rostad
- Department of Pediatrics, Emory University School of Medicine
- Center for Childhood Infections and Vaccines (CCIV), Children's Healthcare of Atlanta
| | - Evan J Anderson
- Department of Pediatrics, Emory University School of Medicine
- Center for Childhood Infections and Vaccines (CCIV), Children's Healthcare of Atlanta
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
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130
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Abstract
PURPOSE OF REVIEW To review the epidemiological characteristics and clinical features associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections among children in the United States. RECENT FINDINGS In the United States, the majority of SARS-CoV-2 infections in children have been mild illnesses, with those 5-17 years of age having the highest frequency. Specifically, the incidence of SARS-CoV-2 in children is two times higher in adolescents (12-17 years) than younger school-aged children (5-11 years). Despite the higher case counts in older children, 10% of pediatric hospitalizations have been in infants less than one year. In addition, severe respiratory and renal complications, hospitalization, and even death have been documented in children. SUMMARY Clinical manifestations of SARS-CoV-2 infection in children range from asymptomatic to severe respiratory distress, with mild nonspecific symptoms being the most commonly reported. The broad clinical presentation and the frequency of asymptomatic or minimally symptomatic infections in children pose challenges for controlling and detecting SARS-CoV-2. However, severe disease has been noted in children with associated medical complications and death. Thus, additional active surveillance and research is needed to understand the burden children contribute to the SARS-CoV-2 pandemic in the United States.
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131
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Marcus JE, Frankel DN, Pawlak MT, Casey TM, Cybulski RJ, Enriquez E, Okulicz JF, Yun HC. Risk Factors Associated With COVID-19 Transmission Among US Air Force Trainees in a Congregant Setting. JAMA Netw Open 2021; 4:e210202. [PMID: 33630090 PMCID: PMC7907953 DOI: 10.1001/jamanetworkopen.2021.0202] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
IMPORTANCE Owing to concerns of coronavirus disease 2019 (COVID-19) outbreaks, many congregant settings are forced to close when cases are detected because there are few data on the risk of different markers of transmission within groups. OBJECTIVE To determine whether symptoms and laboratory results on the first day of COVID-19 diagnosis are associated with development of a case cluster in a congregant setting. DESIGN, SETTING, AND PARTICIPANTS This cohort study of trainees with COVID-19 from May 11 through August 24, 2020, was conducted at Joint Base San Antonio-Lackland, the primary site of entry for enlistment in the US Air Force. Symptoms and duration, known contacts, and cycle threshold for trainees diagnosed by reverse transcription-polymerase chain reaction were collected. A cycle threshold value represents the number of nucleic acid amplification cycles that occur before a specimen containing the target material generates a signal greater than the predetermined threshold that defines positivity. Cohorts with 5 or more individuals with COVID-19 infection were defined as clusters. Participants included 10 613 trainees divided into 263 parallel cohorts of 30 to 50 people arriving weekly for 7 weeks of training. EXPOSURES All trainees were quarantined for 14 days on arrival. Testing was performed on arrival, on day 14, and anytime during training when indicated. Protective measures included universal masking, physical distancing, and rapid isolation of trainees with COVID-19. MAIN OUTCOMES AND MEASURES Association between days of symptoms, specific symptoms, number of symptoms, or cycle threshold values of individuals diagnosed with COVID-19 via reverse transcription-polymerase chain reaction and subsequent transmission within cohorts. RESULTS In this cohort study of 10 613 US Air Force basic trainees in 263 cohorts, 403 trainees (3%) received a diagnosis of COVID-19 in 129 cohorts (49%). Among trainees with COVID-19 infection, 318 (79%) were men, and the median (interquartile range [IQR]) age was 20 (19-23) years; 204 (51%) were symptomatic, and 199 (49%) were asymptomatic. Median (IQR) cycle threshold values were lower in symptomatic trainees compared with asymptomatic trainees (21.2 [18.4-27.60] vs 34.8 [29.3-37.4]; P < .001). Cohorts with clusters of individuals with COVID-19 infection were predominantly men (204 cohorts [89%] vs 114 cohorts [64%]; P < .001), had more symptomatic trainees (146 cohorts [64%] vs 53 cohorts [30%]; P < .001), and had more median (IQR) symptoms per patient (3 [2-5] vs 1 [1-2]; P < .001) compared with cohorts without clusters. Within cohorts, subsequent development of clusters of 5 or more individuals with COVID-19 infection compared with those that did not develop clusters was associated with cohorts that had more symptomatic trainees (31 of 58 trainees [53%] vs 43 of 151 trainees [28%]; P = .001) and lower median (IQR) cycle threshold values (22.3 [18.4-27.3] vs 35.3 [26.5-37.8]; P < .001). CONCLUSIONS AND RELEVANCE In this cohort study of US Air Force trainees living in a congregant setting during the COVID-19 pandemic, higher numbers of symptoms and lower cycle threshold values were associated with subsequent development of clusters of individuals with COVID-19 infection. These values may be useful if validated in future studies.
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Affiliation(s)
- Joseph E. Marcus
- Infectious Diseases Service, Brooke Army Medical Center, Joint Base San Antonio, Texas
| | - Dianne N. Frankel
- Trainee Health Surveillance, 559th Medical Group, Joint Base San Antonio–Lackland, Texas
| | - Mary T. Pawlak
- Trainee Health Surveillance, 559th Medical Group, Joint Base San Antonio–Lackland, Texas
| | - Theresa M. Casey
- Trainee Health Surveillance, 559th Medical Group, Joint Base San Antonio–Lackland, Texas
| | - Robert J. Cybulski
- Clinical Microbiology, Department of Pathology and Area Laboratory Services, Brooke Army Medical Center, Joint Base San Antonio, Texas
| | - Erin Enriquez
- Trainee Health Surveillance, 559th Medical Group, Joint Base San Antonio–Lackland, Texas
| | - Jason F. Okulicz
- Infectious Diseases Service, Brooke Army Medical Center, Joint Base San Antonio, Texas
| | - Heather C. Yun
- Infectious Diseases Service, Brooke Army Medical Center, Joint Base San Antonio, Texas
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132
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Marziano V, Guzzetta G, Rondinone BM, Boccuni F, Riccardo F, Bella A, Poletti P, Trentini F, Pezzotti P, Brusaferro S, Rezza G, Iavicoli S, Ajelli M, Merler S. Retrospective analysis of the Italian exit strategy from COVID-19 lockdown. Proc Natl Acad Sci U S A 2021; 118:e2019617118. [PMID: 33414277 PMCID: PMC7848712 DOI: 10.1073/pnas.2019617118] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
After the national lockdown imposed on March 11, 2020, the Italian government has gradually resumed the suspended economic and social activities since May 4, while maintaining the closure of schools until September 14. We use a model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission to estimate the health impact of different exit strategies. The strategy adopted in Italy kept the reproduction number Rt at values close to one until the end of September, with marginal regional differences. Based on the estimated postlockdown transmissibility, reopening of workplaces in selected industrial activities might have had a minor impact on the transmissibility. Reopening educational levels in May up to secondary schools might have influenced SARS-CoV-2 transmissibility only marginally; however, including high schools might have resulted in a marked increase of the disease burden. Earlier reopening would have resulted in disproportionately higher hospitalization incidence. Given community contacts in September, we project a large second wave associated with school reopening in the fall.
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Affiliation(s)
- Valentina Marziano
- Center for Health Emergencies, Bruno Kessler Foundation, Trento 38123, Italy
| | - Giorgio Guzzetta
- Center for Health Emergencies, Bruno Kessler Foundation, Trento 38123, Italy
| | - Bruna Maria Rondinone
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers' Compensation Authority, Monteporzio Catone (Rome) 00078, Italy
| | - Fabio Boccuni
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers' Compensation Authority, Monteporzio Catone (Rome) 00078, Italy
| | - Flavia Riccardo
- Department of Infectious Diseases, Istituto Superiore di Sanità, Rome 00161, Italy
| | - Antonino Bella
- Department of Infectious Diseases, Istituto Superiore di Sanità, Rome 00161, Italy
| | - Piero Poletti
- Center for Health Emergencies, Bruno Kessler Foundation, Trento 38123, Italy
| | - Filippo Trentini
- Center for Health Emergencies, Bruno Kessler Foundation, Trento 38123, Italy
| | - Patrizio Pezzotti
- Department of Infectious Diseases, Istituto Superiore di Sanità, Rome 00161, Italy
| | - Silvio Brusaferro
- Department of Infectious Diseases, Istituto Superiore di Sanità, Rome 00161, Italy
| | - Giovanni Rezza
- Department of Infectious Diseases, Istituto Superiore di Sanità, Rome 00161, Italy
| | - Sergio Iavicoli
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers' Compensation Authority, Monteporzio Catone (Rome) 00078, Italy
| | - Marco Ajelli
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN 47405
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115
| | - Stefano Merler
- Center for Health Emergencies, Bruno Kessler Foundation, Trento 38123, Italy;
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133
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Abstract
Background Although several studies have tried to evaluate the real efficacy of school closure for pandemic control over time, no definitive answer to this question has been given. Moreover, it has not been clarified whether children or teenagers could be considered a problem for SARS-CoV-2 diffusion or, on the contrary, whether parents and school workers play a greater role. The aims of this review are to discuss about children’s safety at school and the better strategies currently able to reduce the risk of SARS-CoV-2 infection at school. Main aim Compared to adults, very few cases of COVID-19 were diagnosed in children, who generally suffered from an asymptomatic infection or a mild disease. Moreover, school closure is systematically associated with the development of problems involving students, teachers and parents, particularly among populations with poor resources. Although several researches have tried to evaluate the real efficacy of school closure for pandemic control over time, no definitive answer to this question has been given. Available findings seem to confirm that to ensure adequate learning and to avoid social and economic problems, schools must remain open, provided that the adults who follow children at home and at school absolutely comply with recommendations for prevention measures and that school facilities can be optimized in order to significantly reduce the spread of infection. In this regard, the universal use of face masks in addition to hand hygiene and safe distancing in schools, at least starting from the age of 6 years, seems extremely useful. Moreover, since the beginning of the COVID-19 outbreak the use of telemedicine to manage suspected SARS-CoV-2-infected individuals in the community has appeared to be an easy and effective measure to solve many paediatric problems and could represent a further support to schools . Conclusions We think that schools must remain open, despite COVID-19 pandemic. However, several problems strictly related to school frequency and reduction of infectious risk must be solved before school attendance can be considered completely safe. A single more in-depth guideline agreed between countries with the same school problems could be very useful in eliminating doubts and fostering the compliance of students, teachers and non-teaching school staff reducing errors and misinterpretations.
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134
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Meyerowitz EA, Richterman A, Gandhi RT, Sax PE. Transmission of SARS-CoV-2: A Review of Viral, Host, and Environmental Factors. Ann Intern Med 2021; 174:69-79. [PMID: 32941052 PMCID: PMC7505025 DOI: 10.7326/m20-5008] [Citation(s) in RCA: 424] [Impact Index Per Article: 141.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiologic agent of coronavirus disease 2019 (COVID-19), has spread globally in a few short months. Substantial evidence now supports preliminary conclusions about transmission that can inform rational, evidence-based policies and reduce misinformation on this critical topic. This article presents a comprehensive review of the evidence on transmission of this virus. Although several experimental studies have cultured live virus from aerosols and surfaces hours after inoculation, the real-world studies that detect viral RNA in the environment report very low levels, and few have isolated viable virus. Strong evidence from case and cluster reports indicates that respiratory transmission is dominant, with proximity and ventilation being key determinants of transmission risk. In the few cases where direct contact or fomite transmission is presumed, respiratory transmission has not been completely excluded. Infectiousness peaks around a day before symptom onset and declines within a week of symptom onset, and no late linked transmissions (after a patient has had symptoms for about a week) have been documented. The virus has heterogeneous transmission dynamics: Most persons do not transmit virus, whereas some cause many secondary cases in transmission clusters called "superspreading events." Evidence-based policies and practices should incorporate the accumulating knowledge about transmission of SARS-CoV-2 to help educate the public and slow the spread of this virus.
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Affiliation(s)
| | - Aaron Richterman
- Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania (A.R.)
| | - Rajesh T Gandhi
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts (R.T.G.)
| | - Paul E Sax
- Harvard Medical School and Brigham and Women's Hospital, Boston, Massachusetts (P.E.S.)
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135
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Bekkering G, Delvaux N, Vankrunkelsven P, Toelen J, Aertgeerts S, Crommen S, Bruyckere PD, Devisch I, Lernout T, Masschalck K, Milissen N, Molenberghs G, Pascal A, Plomteux O, Raes M, Rans L, Seghers A, Sweldens L, Vandenbussche J, Vanham G, Wollants E, Aertgeerts B. Closing schools for SARS-CoV-2: a pragmatic rapid recommendation. BMJ Paediatr Open 2021; 5:e000971. [PMID: 34192193 PMCID: PMC7868123 DOI: 10.1136/bmjpo-2020-000971] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 01/13/2021] [Accepted: 01/13/2021] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND In Belgium, schools closed during the first lockdown in March 2020, with a partial reopening in May. They fully reopened in September. During the summer, infections started to increase in the general population, speeding up in September. Some measures were taken to limit social contacts but those were insufficient to mitigate the exponential rise of infections in October. Children were still receiving all lessons at school at that time and it was questioned whether this position was tenable. We systematically compared the benefits and harms of closing primary and secondary schools and developed a recommendation. METHODS A multidisciplinary panel, including school pupils and teachers, educational experts, clinicians and researchers, produced this recommendation in compliance with the standards for trustworthy rapid guidelines. The recommendation is based on data collected through national surveillance or studies from Belgium, and supported by a rapid literature review. RESULTS Closing schools during the first lockdown probably resulted in a large learning delay and possibly led to more cases of child abuse. We are uncertain about the effect on the infection rate, hospitalisations, transmission rates, mental health of children, teachers and parents. The panel concluded that the balance of benefits and harms of closing schools clearly shifts against closing schools. Detrimental effects are even worse for vulnerable children. This recommendation is affected by the local virus circulation. CONCLUSION The guideline panel issues a strong recommendation against closing schools when the virus circulation is low to moderate, and a weak recommendation against closing schools when the virus circulation is high. It does not apply when the school system cannot function due to lack of teachers, too many children who are at home or a shortage of support services. As the results of international studies are consistent with Belgian study results, this recommendation may also be relevant internationally.
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Affiliation(s)
- Geertruida Bekkering
- Academic Center for General Practice, KU Leuven, Leuven, Flanders, Belgium.,Center for Evidence-Based Medicine, Leuven, Belgium
| | - Nicolas Delvaux
- Academic Center for General Practice, KU Leuven, Leuven, Flanders, Belgium
| | - Patrik Vankrunkelsven
- Academic Center for General Practice, KU Leuven, Leuven, Flanders, Belgium.,Center for Evidence-Based Medicine, Leuven, Belgium
| | - Jaan Toelen
- Pediatrics, UZ Leuven, Leuven, Belgium.,Department of Development and Regeneration, KU Leuven, Leuven, Flanders, Belgium
| | | | | | - Pedro De Bruyckere
- Teacher Training Department, Artevelde University College, Gent, Belgium.,SCS, University of Leiden, Leiden, Netherlands
| | - Ignaas Devisch
- Department of Public Health and Primary Care, UGent, Gent, Belgium
| | | | | | | | - Geert Molenberghs
- Data Science Institute, UHasselt BIOMED, Diepenbeek, Limburg, Belgium.,Center for Biostatistics and Statistical Bioinformation, KU Leuven, Leuven, Flanders, Belgium
| | - Annelies Pascal
- Hotelschool Ter Groene Poorte, Secondary School, Brugge, Belgium
| | | | - Marc Raes
- Pediatrics, Jessa Hospital VZW, Hasselt, Belgium.,Faculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium
| | | | | | - Lode Sweldens
- De Olm, Special Primary Education, Herk-de-Stad, Belgium
| | | | - Guido Vanham
- Institute of Tropical Medicine, Antwerpen, Belgium
| | - Elke Wollants
- Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium.,Rega Institute for Medical Research, KU Leuven, Leuven, Flanders, Belgium
| | - Bert Aertgeerts
- Academic Center for General Practice, KU Leuven, Leuven, Flanders, Belgium
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136
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Chernozhukov V, Kasahara H, Schrimpf P. Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S. JOURNAL OF ECONOMETRICS 2021; 220:23-62. [PMID: 33100476 PMCID: PMC7568194 DOI: 10.1016/j.jeconom.2020.09.003] [Citation(s) in RCA: 178] [Impact Index Per Article: 59.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 07/03/2020] [Accepted: 09/15/2020] [Indexed: 05/09/2023]
Abstract
The paper evaluates the dynamic impact of various policies adopted by US states on the growth rates of confirmed Covid-19 cases and deaths as well as social distancing behavior measured by Google Mobility Reports, where we take into consideration people's voluntarily behavioral response to new information of transmission risks in a causal structural model framework. Our analysis finds that both policies and information on transmission risks are important determinants of Covid-19 cases and deaths and shows that a change in policies explains a large fraction of observed changes in social distancing behavior. Our main counterfactual experiments suggest that nationally mandating face masks for employees early in the pandemic could have reduced the weekly growth rate of cases and deaths by more than 10 percentage points in late April and could have led to as much as 19 to 47 percent less deaths nationally by the end of May, which roughly translates into 19 to 47 thousand saved lives. We also find that, without stay-at-home orders, cases would have been larger by 6 to 63 percent and without business closures, cases would have been larger by 17 to 78 percent. We find considerable uncertainty over the effects of school closures due to lack of cross-sectional variation; we could not robustly rule out either large or small effects. Overall, substantial declines in growth rates are attributable to private behavioral response, but policies played an important role as well. We also carry out sensitivity analyses to find neighborhoods of the models under which the results hold robustly: the results on mask policies appear to be much more robust than the results on business closures and stay-at-home orders. Finally, we stress that our study is observational and therefore should be interpreted with great caution. From a completely agnostic point of view, our findings uncover predictive effects (association) of observed policies and behavioral changes on future health outcomes, controlling for informational and other confounding variables.
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Affiliation(s)
- Victor Chernozhukov
- Department of Economics and Center for Statistics and Data Science, MIT, MA 02139, United States of America
| | - Hiroyuki Kasahara
- Vancouver School of Economics, UBC, 6000 Iona Drive, Vancouver, BC, Canada
| | - Paul Schrimpf
- Vancouver School of Economics, UBC, 6000 Iona Drive, Vancouver, BC, Canada
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137
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Margekar S, Margekar P, Kumar A, Margekar V. Hematological profile in COVID-19, whether it matters in children. INDIAN JOURNAL OF MEDICAL SPECIALITIES 2021. [DOI: 10.4103/injms.injms_141_20] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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138
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Laws RL, Chancey RJ, Rabold EM, Chu VT, Lewis NM, Fajans M, Reses HE, Duca LM, Dawson P, Conners EE, Gharpure R, Yin S, Buono S, Pomeroy M, Yousaf AR, Owusu D, Wadhwa A, Pevzner E, Battey KA, Njuguna H, Fields VL, Salvatore P, O'Hegarty M, Vuong J, Gregory CJ, Banks M, Rispens J, Dietrich E, Marcenac P, Matanock A, Pray I, Westergaard R, Dasu T, Bhattacharyya S, Christiansen A, Page L, Dunn A, Atkinson-Dunn R, Christensen K, Kiphibane T, Willardson S, Fox G, Ye D, Nabity SA, Binder A, Freeman BD, Lester S, Mills L, Thornburg N, Hall AJ, Fry AM, Tate JE, Tran CH, Kirking HL. Symptoms and Transmission of SARS-CoV-2 Among Children - Utah and Wisconsin, March-May 2020. Pediatrics 2021; 147:peds.2020-027268. [PMID: 33033178 DOI: 10.1542/peds.2020-027268] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/30/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Limited data exist on severe acute respiratory syndrome coronavirus 2 in children. We described infection rates and symptom profiles among pediatric household contacts of individuals with coronavirus disease 2019. METHODS We enrolled individuals with coronavirus disease 2019 and their household contacts, assessed daily symptoms prospectively for 14 days, and obtained specimens for severe acute respiratory syndrome coronavirus 2 real-time reverse transcription polymerase chain reaction and serology testing. Among pediatric contacts (<18 years), we described transmission, assessed the risk factors for infection, and calculated symptom positive and negative predictive values. We compared secondary infection rates and symptoms between pediatric and adult contacts using generalized estimating equations. RESULTS Among 58 households, 188 contacts were enrolled (120 adults; 68 children). Secondary infection rates for adults (30%) and children (28%) were similar. Among households with potential for transmission from children, child-to-adult transmission may have occurred in 2 of 10 (20%), and child-to-child transmission may have occurred in 1 of 6 (17%). Pediatric case patients most commonly reported headache (79%), sore throat (68%), and rhinorrhea (68%); symptoms had low positive predictive values, except measured fever (100%; 95% confidence interval [CI]: 44% to 100%). Compared with symptomatic adults, children were less likely to report cough (odds ratio [OR]: 0.15; 95% CI: 0.04 to 0.57), loss of taste (OR: 0.21; 95% CI: 0.06 to 0.74), and loss of smell (OR: 0.29; 95% CI: 0.09 to 0.96) and more likely to report sore throat (OR: 3.4; 95% CI: 1.04 to 11.18). CONCLUSIONS Children and adults had similar secondary infection rates, but children generally had less frequent and severe symptoms. In two states early in the pandemic, we observed possible transmission from children in approximately one-fifth of households with potential to observe such transmission patterns.
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Affiliation(s)
- Rebecca L Laws
- COVID-19 Response Team, .,Contributed equally as co-first authors
| | | | | | - Victoria T Chu
- COVID-19 Response Team.,Epidemic Intelligence Service, and
| | - Nathaniel M Lewis
- COVID-19 Response Team.,Epidemic Intelligence Service, and.,Utah Department of Health, Salt Lake City, Utah
| | | | | | - Lindsey M Duca
- COVID-19 Response Team.,Epidemic Intelligence Service, and
| | - Patrick Dawson
- COVID-19 Response Team.,Epidemic Intelligence Service, and
| | | | | | | | - Sean Buono
- COVID-19 Response Team.,Laboratory Leadership Service, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Mary Pomeroy
- COVID-19 Response Team.,Epidemic Intelligence Service, and
| | - Anna R Yousaf
- COVID-19 Response Team.,Epidemic Intelligence Service, and
| | - Daniel Owusu
- COVID-19 Response Team.,Epidemic Intelligence Service, and
| | - Ashutosh Wadhwa
- COVID-19 Response Team.,Laboratory Leadership Service, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | | | | | | | | | | | | | | | - Jared Rispens
- COVID-19 Response Team.,Epidemic Intelligence Service, and
| | | | | | | | - Ian Pray
- COVID-19 Response Team.,Epidemic Intelligence Service, and.,Wisconsin Department of Health Services, Madison, Wisconsin
| | | | - Trivikram Dasu
- City of Milwaukee Health Department, Milwaukee, Wisconsin
| | | | | | - Lindsey Page
- City of Milwaukee Health Department, Milwaukee, Wisconsin
| | - Angela Dunn
- Utah Department of Health, Salt Lake City, Utah
| | | | | | - Tair Kiphibane
- Salt Lake County Health Department, Salt Lake City, Utah; and
| | | | | | | | | | | | - Brandi D Freeman
- COVID-19 Response Team.,Laboratory Leadership Service, Centers for Disease Control and Prevention, Atlanta, Georgia
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139
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Gilliam WS, Malik AA, Shafiq M, Klotz M, Reyes C, Humphries JE, Murray T, Elharake JA, Wilkinson D, Omer SB. COVID-19 Transmission in US Child Care Programs. Pediatrics 2021; 147:peds.2020-031971. [PMID: 33055228 DOI: 10.1542/peds.2020-031971] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/30/2020] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES Central to the debate over school and child care reopening is whether children are efficient coronavirus disease 2019 (COVID-19) transmitters and are likely to increase community spread when programs reopen. We compared COVID-19 outcomes in child care providers who continued to provide direct in-person child care during the first 3 months of the US COVID-19 pandemic with outcomes in those who did not. METHODS Data were obtained from US child care providers (N = 57 335) reporting whether they had ever tested positive or been hospitalized for COVID-19 (n = 427 cases) along with their degree of exposure to child care. Background transmission rates were controlled statistically, and other demographic, programmatic, and community variables were explored as potential confounders. Logistic regression analysis was used in both unmatched and propensity score-matched case-control analyses. RESULTS No association was found between exposure to child care and COVID-19 in both unmatched (odds ratio [OR], 1.06; 95% confidence interval [CI], 0.82-1.38) and matched (OR, 0.94; 95% CI, 0.73-1.21) analyses. In matched analysis, being a home-based provider (as opposed to a center-based provider) was associated with COVID-19 (OR, 1.59; 95% CI, 1.14-2.23) but revealed no interaction with exposure. CONCLUSIONS Within the context of considerable infection mitigation efforts in US child care programs, exposure to child care during the early months of the US pandemic was not associated with an elevated risk for COVID-19 transmission to providers. These findings must be interpreted only within the context of background transmission rates and the considerable infection mitigation efforts implemented in child care programs.
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Affiliation(s)
| | - Amyn A Malik
- School of Medicine.,Yale Institute for Global Health
| | - Mehr Shafiq
- Yale Institute for Global Health.,Mailman School of Public Health, Columbia University, New York, New York; and
| | | | | | | | - Thomas Murray
- Department of Pediatrics.,Yale New Haven Children's Hospital, New Haven, Connecticut
| | - Jad A Elharake
- Yale Institute for Global Health.,Schools of Public Health and
| | - David Wilkinson
- Yale Child Study Center and.,Tobin Center for Economic Policy, and
| | - Saad B Omer
- Yale Institute for Global Health.,School of Medicine.,Schools of Public Health and.,Nursing
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140
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Barrios LC, Green RF, Honein MA. The Role of Testing in Reducing SARS-CoV-2 Transmission on College Campuses. J Adolesc Health 2021; 68:1-2. [PMID: 33349351 PMCID: PMC7759332 DOI: 10.1016/j.jadohealth.2020.10.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 10/05/2020] [Indexed: 10/24/2022]
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141
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Chua KP, DeJonckheere M, Reeves SL, Tribble AC, Prosser LA. Factors Associated With School Attendance Plans and Support for COVID-19 Risk Mitigation Measures Among Parents and Guardians. Acad Pediatr 2021; 21:684-693. [PMID: 33249257 PMCID: PMC8106633 DOI: 10.1016/j.acap.2020.11.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/15/2020] [Accepted: 11/20/2020] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To determine which factors are associated with plans for in-person school attendance during the 2020-2021 school year and with support for 15 school-based COVID-19 risk mitigation measures among parents and guardians. METHODS In June 2020, we conducted an online survey of parents and guardians of public school children in Illinois, Michigan, and Ohio. In a child-level analysis, we used linear regression to assess which demographic factors, health-related concerns, and parent/guardian views were associated with plans for in-person school attendance. In a respondent-level analysis, we used linear regression to assess factors associated with the number of risk mitigation measures supported. RESULTS Among 2202 children in the child-level analysis, in-person school attendance was planned for 71.0%. Such plans were less likely among children of Black respondents (-14.1 percentage points, 95% confidence interval [CI]: -25.7, -2.6) and Asian respondents (-16.8, 95% CI: -31.3, -2.2), and among children with perceived high-risk health conditions (-9.7, 95% CI: -15.8, -3.6). Among 1,126 respondents in the respondent-level analysis, the mean number of measures supported was 8.0 (SD 4.4). Several factors were associated with support, but the magnitude of associations was generally modest. CONCLUSIONS During the COVID-19 pandemic, families of children with health conditions or who are of Black or Asian race/ethnicity may be less likely to opt for in-person learning. For these families, addressing barriers to remote education is critical. As schools plan for the 2020-2021 school year and beyond, they should respond to the desire among parents and guardians to implement substantial numbers of risk mitigation measures.
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Affiliation(s)
- Kao-Ping Chua
- Department of Pediatrics, Susan B. Meister Child Health Evaluation and Research Center, University of Michigan Medical School (KPC, SLR, LAP), Ann Arbor, Mich; Department of Health Management and Policy, University of Michigan School of Public Health (KPC, LAP), Ann Arbor, Mich.
| | - Melissa DeJonckheere
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, MI
| | - Sarah L. Reeves
- Department of Pediatrics, Susan B. Meister Child Health Evaluation and Research Center, University of Michigan Medical School, Ann Arbor, MI,Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI
| | - Alison C. Tribble
- Department of Pediatrics, Division of Infectious Diseases, University of Michigan Medical School, Ann Arbor, MI
| | - Lisa A. Prosser
- Department of Pediatrics, Susan B. Meister Child Health Evaluation and Research Center, University of Michigan Medical School, Ann Arbor, MI,Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, MI
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142
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Lee B, Raszka WV. COVID-19 in Children: Looking Forward, Not Back. Pediatrics 2021; 147:peds.2020-029736. [PMID: 33033179 DOI: 10.1542/peds.2020-029736] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/01/2020] [Indexed: 11/24/2022] Open
Affiliation(s)
- Benjamin Lee
- Department of Pediatrics, The Robert Larner, MD College of Medicine, The University of Vermont, Burlington, Vermont
| | - William V Raszka
- Department of Pediatrics, The Robert Larner, MD College of Medicine, The University of Vermont, Burlington, Vermont
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143
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Yang XY, Gong RN, Sassine S, Morsa M, Tchogna AS, Drouin O, Chadi N, Jantchou P. Risk Perception of COVID-19 Infection and Adherence to Preventive Measures among Adolescents and Young Adults. CHILDREN (BASEL, SWITZERLAND) 2020; 7:311. [PMID: 33371272 PMCID: PMC7766485 DOI: 10.3390/children7120311] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 12/15/2020] [Accepted: 12/18/2020] [Indexed: 01/19/2023]
Abstract
To explore factors influencing adolescents and young adults' (AYAs) risk perception of COVID-19 and adherence to public health measures, we conducted a cross-sectional online survey of AYAs (14-22 years old) from Quebec (Canada) recruited through school and community partners in April 2020 during the first wave of the COVID-19 pandemic. The study included 3037 participants (mean age = 17.7 years, 74.6% female). AYAs had higher mean (standard deviation (SD)) risk perception of COVID-19 for their relatives (8.2 (1.9)) than for themselves (5.6 (2.6)) (p < 0.001). Factors associated with higher risk perception included higher disease knowledge (adjusted odds ratio (aOR) 1.06, 95% CI 1.01-1.11), presence of chronic disease (aOR 2.31, 95%CI 1.82-2.93) and use of immunosuppressants (aOR 2.53, 95%CI 1.67-3.87). AYAs with a higher risk perception (aOR 1.06, 95%CI 1.02-1.10) those wishing to help flatten the disease curve (aOR 1.18, 95%CI 1.12-1.25) or to protect their family/friends (aOR 1.14, 95%CI 1.05-1.24) were more likely to engage in preventive behaviors. Self-perceived risk and desire to protect others were significantly associated with adherence to preventive measures among youth. These findings may help inform public health messaging to AYAs in the current and future pandemics.
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Affiliation(s)
- Xin Yu Yang
- CHU Sainte-Justine Research Center, Montréal, QC H3T 1C5, Canada; (X.Y.Y.); (R.N.G.); (S.S.); (A.S.T.); (O.D.); (N.C.)
- Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada;
| | - Rui Ning Gong
- CHU Sainte-Justine Research Center, Montréal, QC H3T 1C5, Canada; (X.Y.Y.); (R.N.G.); (S.S.); (A.S.T.); (O.D.); (N.C.)
- Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada;
| | - Samuel Sassine
- CHU Sainte-Justine Research Center, Montréal, QC H3T 1C5, Canada; (X.Y.Y.); (R.N.G.); (S.S.); (A.S.T.); (O.D.); (N.C.)
- Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada;
| | - Maxime Morsa
- Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada;
- Laboratory of Education and Health Practices (UR 3412), University Sorbonne Paris Nord, 93017 Bobigny, France
| | - Alexandra Sonia Tchogna
- CHU Sainte-Justine Research Center, Montréal, QC H3T 1C5, Canada; (X.Y.Y.); (R.N.G.); (S.S.); (A.S.T.); (O.D.); (N.C.)
| | - Olivier Drouin
- CHU Sainte-Justine Research Center, Montréal, QC H3T 1C5, Canada; (X.Y.Y.); (R.N.G.); (S.S.); (A.S.T.); (O.D.); (N.C.)
- Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada;
- Division of General Pediatrics, Department of Pediatrics, CHU Sainte-Justine, Montréal, QC H3T 1C5, Canada
- Department of Social and Preventive Medicine, School of Public Health, Université de Montréal, Montréal, QC H3N 1X9, Canada
| | - Nicholas Chadi
- CHU Sainte-Justine Research Center, Montréal, QC H3T 1C5, Canada; (X.Y.Y.); (R.N.G.); (S.S.); (A.S.T.); (O.D.); (N.C.)
- Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada;
- Division of Adolescent Medicine, Department of Pediatrics, CHU Sainte-Justine, Montréal, QC H3T 1C5, Canada
| | - Prévost Jantchou
- CHU Sainte-Justine Research Center, Montréal, QC H3T 1C5, Canada; (X.Y.Y.); (R.N.G.); (S.S.); (A.S.T.); (O.D.); (N.C.)
- Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada;
- Division of Gastroenterology, Department of Pediatrics, CHU Sainte-Justine, Montréal, QC H3T 1C5, Canada
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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] [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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145
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Hacımustafaoğlu M. COVID-19 and re-opening of schools: Opinions with scientific evidence. TURK PEDIATRI ARSIVI 2020; 55:337-344. [PMID: 33414650 PMCID: PMC7750348 DOI: 10.14744/turkpediatriars.2020.90018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 10/13/2020] [Indexed: 12/11/2022]
Abstract
Due to the COVID-19 pandemic, more than 90% of students worldwide were affected by education loss. Moreover, for school-age children and adolescents, there may be worsening of nutrition, increasing mental health disorders, lack of physical activity, and related deleterious consequences raise concerns about negative habits, child violence, and abuse. Face-to-face education in schools provides positive educational opportunities that cannot be achieved with online education. In studies from various countries, children have milder disease, constituting as little as 1-8% of all laboratory-confirmed COVID-19 cases, with less transmission capacity to household contacts than adults (0.5-7% vs. 10-20%). Symptomatic or asymptomatic children can infect other people less than adults. Also, the transmission of illness between students at school is less than expected, and the transmission of COVID-19 to students is usually acquired from sick adults rather than sick students. Therefore, with suitable measures, infection risk is less than expected and seems not to be higher than in other public places. COVID-19 measures in schools can be summarized as follows: avoiding crowded/close contact environments as much as possible, respecting the protective (social) distance, wearing appropriate masks, hand hygiene, and some essential protective measurements of classrooms and environment. Measurements should be participatory (students, teachers, education staff, parents, administration), applicable, sustainable, and flexible according to the conditions.
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Affiliation(s)
- Mustafa Hacımustafaoğlu
- Department of Pediatric Infectious Diseases, Uludag University Faculty of Medicine, Bursa, Turkey
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146
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Roche B, Garchitorena A, Roiz D. The impact of lockdown strategies targeting age groups on the burden of COVID-19 in France. Epidemics 2020; 33:100424. [PMID: 33285420 PMCID: PMC7685047 DOI: 10.1016/j.epidem.2020.100424] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 10/17/2020] [Accepted: 11/21/2020] [Indexed: 12/11/2022] Open
Abstract
Due to the COVID-19 pandemic, many countries have implemented a complete lockdown of their population that may not be sustainable for long. To identify the best strategy to replace this full lockdown, sophisticated models that rely on mobility data have been developed. In this study, using the example of France as a case-study, we develop a simple model considering contacts between age classes to derive the general impact of partial lockdown strategies targeted at specific age groups. We found that epidemic suppression can only be achieved by targeting isolation of young and middle age groups with high efficiency. All other strategies tested result in a flatter epidemic curve, with outcomes in (e.g. mortality and health system over-capacity) dependent of the age groups targeted and the isolation efficiency. Targeting only the elderly can decrease the expected mortality burden, but in proportions lower than more integrative strategies involving several age groups. While not aiming to provide quantitative forecasts, our study shows the benefits and constraints of different partial lockdown strategies, which could help guide decision-making.
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Affiliation(s)
- Benjamin Roche
- IRD, Sorbonne Université, UMMISCO, F-93143, Bondy, France.
| | - Andres Garchitorena
- MIVEGEC, IRD, CNRS, Université Montpellier, Montpellier, France; NGO PIVOT, Ranomafana, Madagascar
| | - David Roiz
- MIVEGEC, IRD, CNRS, Université Montpellier, Montpellier, France; Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, Mexico
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147
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Shane AL, Sato AI, Kao C, Adler-Shohet FC, Vora SB, Auletta JJ, Nachman S, Raabe VN, Inagaki K, Akinboyo IC, Woods C, Alsulami AO, Kainth MK, Santos RP, Espinosa CM, Burns JE, Cunningham CK, Dominguez SR, Martinez BL, Zhu F, Crews J, Kitano T, Saiman L, Kotloff K. A Pediatric Infectious Diseases Perspective of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and Novel Coronavirus Disease 2019 (COVID-19) in Children. J Pediatric Infect Dis Soc 2020; 9:596-608. [PMID: 32840614 PMCID: PMC7499621 DOI: 10.1093/jpids/piaa099] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 08/18/2020] [Indexed: 12/15/2022]
Abstract
Understanding the role that children play in the clinical burden and propagation of severe acute respiratory syndrome coronavirus 2, responsible for coronavirus disease 2019 (COVID-19) infections, is emerging. While the severe manifestations and acute clinical burden of COVID-19 have largely spared children compared with adults, understanding the epidemiology, clinical presentation, diagnostics, management, and prevention opportunities and the social and behavioral impacts on child health is vital. Foremost is clarifying the contribution of asymptomatic and mild infections to transmission within the household and community and the clinical and epidemiologic significance of uncommon severe post-infectious complications. Here, we summarize the current knowledge, identify resources, and outline research opportunities. Pediatric infectious diseases clinicians have a unique opportunity to advocate for the inclusion of children in epidemiological, clinical, treatment, and prevention studies to optimize their care as well as to represent children in the development of guidance and policy during pandemic response.
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MESH Headings
- Asymptomatic Diseases
- Betacoronavirus
- COVID-19
- COVID-19 Testing
- Child
- Child Health Services
- Clinical Laboratory Techniques
- Coronavirus Infections/diagnosis
- Coronavirus Infections/prevention & control
- Coronavirus Infections/therapy
- Coronavirus Infections/transmission
- Female
- Humans
- Infant, Newborn
- Infant, Newborn, Diseases/epidemiology
- Infant, Newborn, Diseases/prevention & control
- Infectious Disease Transmission, Vertical
- Pandemics/prevention & control
- Pediatrics
- Pneumonia, Viral/diagnosis
- Pneumonia, Viral/prevention & control
- Pneumonia, Viral/therapy
- Pneumonia, Viral/transmission
- Practice Guidelines as Topic
- Pregnancy
- Pregnancy Complications, Infectious
- SARS-CoV-2
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Affiliation(s)
- Andi L Shane
- Division of Pediatric Infectious Disease, Department of Pediatrics, Emory University School of Medicine, Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
| | - Alice I Sato
- Division of Pediatric Infectious Diseases, University of Nebraska Medical Center, Children’s Hospital & Medical Center, Omaha, Nebraska, USA
| | - Carol Kao
- Division of Pediatric Infectious Disease, Department of Pediatrics, Emory University School of Medicine, Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
| | - Felice C Adler-Shohet
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Children’s Hospital of Orange County, Orange, California, USA
| | - Surabhi B Vora
- Department of Pediatrics, University of Washington and Seattle Children’s Hospital, Seattle, Washington, USA
| | - Jeffery J Auletta
- Division of Pediatric Hematology/Oncology/Bone Marrow Transplant and Infectious Diseases, Department of Pediatrics, Nationwide Children’s Hospital, Columbus, Ohio, USA
| | - Sharon Nachman
- Department of Pediatrics, Stony Brook Children’s, Stony Brook, New York, USA
| | - Vanessa N Raabe
- Division of Infectious Disease, Department of Medicine and Pediatrics, New York University Langone Grossman School of Medicine, New York, New York, USA
| | - Kengo Inagaki
- Division of Pediatric Infectious Diseases, Department of Pediatrics, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Ibukunoluwa C Akinboyo
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA
| | - Charles Woods
- Department of Pediatrics, University of Tennessee College of Medicine Chattanooga, Chattanooga, Tennessee, USA
| | - Abdulsalam O Alsulami
- Division of Pediatric Infectious Disease, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Mundeep K Kainth
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Cohen Children’s Medical Center, Northwell Health, New Hyde Park, New York, USA
| | - Roberto Parulan Santos
- Division of Pediatric Infectious Diseases, Department of Pediatrics, University of Mississippi Medical Center, University Hospital, Jackson, Mississippi, USA
| | - Claudia M Espinosa
- Division of Pediatric Infectious Disease, University of South Florida, Morsani College of Medicine, Tampa, Florida, USA
| | - Julianne E Burns
- Division of Hospital Medicine, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Coleen K Cunningham
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA
| | - Samuel R Dominguez
- Section of Infectious Diseases, Department of Pediatrics, University of Colorado and Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Beatriz Larru Martinez
- Division of Paediatric Infectious Diseases & Immunology, Alder Hey Children’s Hospital, Liverpool, United Kingdom
| | - Frank Zhu
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Jonathan Crews
- Division of Pediatric Infectious Diseases, Baylor College of Medicine, Children’s Hospital of San Antonio, San Antonio, Texas, USA
| | - Taito Kitano
- Division of Infectious Diseases, Department of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Lisa Saiman
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Columbia University Medical Center, New York–Presbyterian Morgan Stanley Children’s Hospital, New York, New York, USA
| | - Karen Kotloff
- Division of Pediatric Infectious Diseases and Tropical Medicine, Department of Pediatrics, University of Maryland School of Medicine, Baltimore, Maryland, USA
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148
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Pray IW, Gibbons-Burgener SN, Rosenberg AZ, Cole D, Borenstein S, Bateman A, Pevzner E, Westergaard RP. COVID-19 Outbreak at an Overnight Summer School Retreat - Wisconsin, July-August 2020. MMWR. MORBIDITY AND MORTALITY WEEKLY REPORT 2020; 69:1600-1604. [PMID: 33119558 PMCID: PMC7640998 DOI: 10.15585/mmwr.mm6943a4] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
During July 2-August 11, 2020, an outbreak of coronavirus disease 2019 (COVID-19) occurred at a boys' overnight summer school retreat in Wisconsin. The retreat included 152 high school-aged boys, counselors, and staff members from 21 states and territories and two foreign countries. All attendees were required to provide documentation of either a positive serologic test result* within the past 3 months or a negative reverse transcription-polymerase chain reaction (RT-PCR) tests result for SARS-CoV-2 (the virus that causes COVID-19) ≤7 days before travel, to self-quarantine within their households for 7 days before travel, and to wear masks during travel. On July 15, the Wisconsin Department of Health Services (WDHS) began an investigation after being notified that two students at the retreat had received positive SARS-CoV-2 RT-PCR test results. WDHS offered RT-PCR testing to attendees on July 28 and serologic testing on August 5 and 6. Seventy-eight (51%) attendees received positive RT-PCR results (confirmed cases), and 38 (25%) met clinical criteria for COVID-19 without a positive RT-PCR result (probable cases). By the end of the retreat, 118 (78%) persons had received a positive serologic test result. Among 24 attendees with a documented positive serologic test result before the retreat, all received negative RT-PCR results. After RT-PCR testing on July 28, WDHS recommended that remaining susceptible persons (asymptomatic and with negative RT-PCR test results) quarantine from other students and staff members at the retreat. Recommended end dates for isolation or quarantine were based on established guidance (1,2) and determined in coordination with CDC. All attendees were cleared for interstate and commercial air travel to return home on August 11. This outbreak investigation documented rapid spread of SARS-CoV-2, likely from a single student, among adolescents and young adults in a congregate setting. Mitigation plans that include prearrival quarantine and testing, cohorting, symptom monitoring, early identification and isolation of cases, mask use, enhanced hygiene and disinfection practices, and maximal outdoor programming are necessary to prevent COVID-19 outbreaks in these settings (3,4).
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149
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Schwartz NG, Moorman AC, Makaretz A, Chang KT, Chu VT, Szablewski CM, Yousaf AR, Brown MM, Clyne A, DellaGrotta A, Drobeniuc J, Korpics J, Muir A, Drenzek C, Bandy U, Kirking HL, Tate JE, Hall AJ, Lanzieri TM, Stewart RJ. Adolescent with COVID-19 as the Source of an Outbreak at a 3-Week Family Gathering - Four States, June-July 2020. MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT 2020; 69:1457-1459. [PMID: 33031365 PMCID: PMC7561219 DOI: 10.15585/mmwr.mm6940e2] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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150
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Steinman JB, Lum FM, Ho PPK, Kaminski N, Steinman L. Reduced development of COVID-19 in children reveals molecular checkpoints gating pathogenesis illuminating potential therapeutics. Proc Natl Acad Sci U S A 2020; 117:24620-24626. [PMID: 32883878 PMCID: PMC7547272 DOI: 10.1073/pnas.2012358117] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The reduced development of COVID-19 for children compared to adults provides some tantalizing clues on the pathogenesis and transmissibility of this pandemic virus. First, ACE2, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) receptor, is reduced in the respiratory tract in children. Second, coronavirus associated with common colds in children may offer some protection, due to cross-reactive humoral immunity and T cell immunity between common coronaviruses and SARS-CoV-2. Third, T helper 2 immune responses are protective in children. Fourth, surprisingly, eosinophilia, associated with T helper 2, may be protective. Fifth, children generally produce lower levels of inflammatory cytokines. Finally, the influence of the downturn in the global economy, the impact of living in quarters among families who are the most at risk, and factors including the openings of some schools, are considered. Those most disadvantaged socioeconomically may suffer disproportionately with COVID-19.
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Affiliation(s)
| | - Fok Moon Lum
- Department of Pediatrics, Stanford University, Stanford CA 94305
- Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA 94305
| | - Peggy Pui-Kay Ho
- Department of Pediatrics, Stanford University, Stanford CA 94305
- Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA 94305
| | - Naftali Kaminski
- Pulmonary, Critical Care and Sleep Medicine, Yale University School of Medicine, New Haven, CT 06520
| | - Lawrence Steinman
- Department of Pediatrics, Stanford University, Stanford CA 94305;
- Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA 94305
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