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Basting CM, Langat R, Broedlow CA, Guerrero CR, Bold TD, Bailey M, Velez A, Schroeder T, Short-Miller J, Cromarty R, Mayer ZJ, Southern PJ, Schacker TW, Safo SE, Bramante CT, Tignanelli CJ, Schifanella L, Klatt NR. SARS-CoV-2 infection is associated with intestinal permeability, systemic inflammation, and microbial dysbiosis in hospitalized patients. Microbiol Spectr 2024; 12:e0068024. [PMID: 39345212 PMCID: PMC11537016 DOI: 10.1128/spectrum.00680-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 09/03/2024] [Indexed: 10/01/2024] Open
Abstract
Coronavirus disease 2019 (COVID-19) and its associated severity have been linked to uncontrolled inflammation and may be associated with changes in the microbiome of mucosal sites including the gastrointestinal tract and oral cavity. These sites play an important role in host-microbe homeostasis, and disruption of epithelial barrier integrity during COVID-19 may potentially lead to exacerbated inflammation and immune dysfunction. Outcomes in COVID-19 are highly disparate, ranging from asymptomatic to fatal, and the impact of microbial dysbiosis on disease severity is unclear. Here, we obtained plasma, rectal swabs, oropharyngeal swabs, and nasal swabs from 86 patients hospitalized with COVID-19 and 12 healthy volunteers. We performed 16S rRNA sequencing to characterize the microbial communities in the mucosal swabs and measured concentrations of circulating cytokines, markers of gut barrier integrity, and fatty acids in the plasma samples. We compared these plasma concentrations and microbiomes between healthy volunteers and COVID-19 patients, some of whom had unfortunately died by the end of the study enrollment, and performed a correlation analysis between plasma variables and bacterial abundances. Rectal swabs of COVID-19 patients had reduced abundances of several commensal bacteria including Faecalibacterium prausnitzii and an increased abundance of the opportunistic pathogens Eggerthella lenta and Hungatella hathewayi. Furthermore, the oral pathogen Scardovia wiggsiae was more abundant in the oropharyngeal swabs of COVID-19 patients who died. The abundance of both H. hathewayi and S. wiggsiae correlated with circulating inflammatory markers including IL-6, highlighting the possible role of the microbiome in COVID-19 severity and providing potential therapeutic targets for managing COVID-19.IMPORTANCEOutcomes in coronavirus disease 2019 (COVID-19) are highly disparate and are associated with uncontrolled inflammation; however, the individual factors that lead to this uncontrolled inflammation are not fully understood. Here, we report that severe COVID-19 is associated with systemic inflammation, microbial translocation, and microbial dysbiosis. The rectal and oropharyngeal microbiomes of COVID-19 patients were characterized by a decreased abundance of commensal bacteria and an increased abundance of opportunistic pathogens, which positively correlated with markers of inflammation and microbial translocation. These microbial perturbations may, therefore, contribute to disease severity in COVID-19 and highlight the potential for microbiome-based interventions in improving COVID-19 outcomes.
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Affiliation(s)
| | - Robert Langat
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
| | | | - Candace R. Guerrero
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minnesota, Minneapolis, USA
- College of Biological Sciences, University of Minnesota, Minnesota, Minneapolis, USA
| | - Tyler D. Bold
- Department of Medicine, University of Minnesota, Minnesota, Minneapolis, USA
| | - Melisa Bailey
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
| | - Adrian Velez
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
| | - Ty Schroeder
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
| | - Jonah Short-Miller
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
| | - Ross Cromarty
- Masonic Cancer Center, University of Minnesota, Minnesota, Minneapolis, USA
| | - Zachary J. Mayer
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minnesota, Minneapolis, USA
- College of Biological Sciences, University of Minnesota, Minnesota, Minneapolis, USA
| | - Peter J. Southern
- Department of Microbiology and Immunology, University of Minnesota, Minnesota, Minneapolis, USA
| | - Timothy W. Schacker
- Department of Medicine, University of Minnesota, Minnesota, Minneapolis, USA
| | - Sandra E. Safo
- Department of Biostatistics and Health Data Science, University of Minnesota, Minnesota, Minneapolis, USA
| | - Carolyn T. Bramante
- Department of Medicine, University of Minnesota, Minnesota, Minneapolis, USA
| | | | - Luca Schifanella
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
- National Cancer Institute, Center for Cancer Research, Vaccine Branch, Animal Models and Retroviral Vaccines Section, National Institutes of Health, Bethesda, Maryland, USA
| | - Nichole R. Klatt
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
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Janke C, Rubio-Acero R, Weigert M, Reinkemeyer C, Khazaei Y, Kleinlein L, Le Gleut R, Radon K, Hannes M, Picasso F, Lucke AE, Plank M, Kotta IC, Paunovic I, Zhelyazkova A, Noreña I, Winter S, Hoelscher M, Wieser A, Küchenhoff H, Castelletti N. Understanding the Omicron Variant Impact in Healthcare Workers: Insights from the Prospective COVID-19 Post-Immunization Serological Cohort in Munich (KoCo-Impf) on Risk Factors for Breakthrough and Reinfections. Viruses 2024; 16:1556. [PMID: 39459890 PMCID: PMC11512372 DOI: 10.3390/v16101556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Revised: 09/09/2024] [Accepted: 09/25/2024] [Indexed: 10/28/2024] Open
Abstract
This study analyzes immune responses to SARS-CoV-2 vaccination and infection, including asymptomatic cases, focusing on infection risks during the Omicron wave, particularly among high-risk healthcare workers. In the KoCo-Impf study, we monitored 6088 vaccinated participants in Munich aged 18 and above. From 13 May to 31 July 2022, 2351 participants were follow-uped. Logistic regression models evaluated primary, secondary, and breakthrough infections (BTIs). Roche Elecsys® Anti-SARS-CoV-2 assays detected prior infections (via anti-Nucleocapsid antibodies) and assessed vaccination/infection impact (via anti-Spike antibodies) using dried blood spots. Our findings revealed an anti-Nucleocapsid seroprevalence of 44.1%. BTIs occurred in 38.8% of participants, with reinfections in 48.0%. Follow-up participation was inversely associated with current smoking and non-vaccination, while significantly increasing with age and receipt of three vaccine doses. Larger household sizes and younger age increased infection risks, whereas multiple vaccinations and older age reduced them. Household size and specific institutional subgroups were risk factors for BTIs. The anti-Nucleocapsid value prior to the second infection was significantly associated with reinfection risk. Institutional subgroups influenced all models, underscoring the importance of tailored outbreak responses. The KoCo-Impf study underscores the importance of vaccination, demographic factors, and institutional settings in understanding SARS-CoV-2 infection risks during the Omicron wave.
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Affiliation(s)
- Christian Janke
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
| | - Raquel Rubio-Acero
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
| | - Maximilian Weigert
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, 80539 Munich, Germany
- Munich Center for Machine Learning (MCML), 80539 Munich, Germany
| | - Christina Reinkemeyer
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799 Munich, Germany
| | - Yeganeh Khazaei
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, 80539 Munich, Germany
| | - Lisa Kleinlein
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, 80539 Munich, Germany
| | - Ronan Le Gleut
- Institute of Computational Biology, Helmholtz Munich, 85764 Neuherberg, Germany
- Core Facility Statistical Consulting, Helmholtz Munich, 85764 Neuherberg, Germany
| | - Katja Radon
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich, 80336 Munich, Germany
- Center for International Health (CIH), LMU University Hospital, LMU Munich, 80336 Munich, Germany
- Comprehensive Pneumology Center (CPC) Munich, German Center for Lung Research (DZL), 89337 Munich, Germany
| | - Marlene Hannes
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
- Unit Global Health, Helmholtz Zentrum München, German Research Centre for Environmental Health (HMGU), 85764 Neuherberg, Germany
| | - Francesco Picasso
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
| | - Anne Elisabeth Lucke
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799 Munich, Germany
| | - Michael Plank
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799 Munich, Germany
| | - Irene Charlotte Kotta
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
| | - Ivana Paunovic
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799 Munich, Germany
| | - Ana Zhelyazkova
- Institut für Notfallmedizin und Medizinmanagement (INM), LMU Klinikum, LMU München, 80336 Munich, Germany
| | - Ivan Noreña
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
| | - Simon Winter
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799 Munich, Germany
| | - Michael Hoelscher
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799 Munich, Germany
- Center for International Health (CIH), LMU University Hospital, LMU Munich, 80336 Munich, Germany
- Unit Global Health, Helmholtz Zentrum München, German Research Centre for Environmental Health (HMGU), 85764 Neuherberg, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany
| | - Andreas Wieser
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799 Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany
- Max Von Pettenkofer Institute, Faculty of Medicine, LMU Munich, 80336 Munich, Germany
| | - Helmut Küchenhoff
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, 80539 Munich, Germany
| | - Noemi Castelletti
- Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany; (C.J.); (R.R.-A.)
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799 Munich, Germany
- Institute of Radiation Medicine, Helmholtz Zentrum München, 85764 Neuherberg, Germany
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Nguyen DC, Hentenaar IT, Morrison-Porter A, Solano D, Haddad NS, Castrillon C, Runnstrom MC, Lamothe PA, Andrews J, Roberts D, Lonial S, Sanz I, Lee FEH. SARS-CoV-2-specific plasma cells are not durably established in the bone marrow long-lived compartment after mRNA vaccination. Nat Med 2024:10.1038/s41591-024-03278-y. [PMID: 39333316 DOI: 10.1038/s41591-024-03278-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 08/29/2024] [Indexed: 09/29/2024]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNA vaccines are effective at protecting from severe disease, but the protective antibodies wane rapidly even though SARS-CoV-2-specific plasma cells can be found in the bone marrow (BM). Here, to explore this paradox, we enrolled 19 healthy adults at 2.5-33 months after receipt of a SARS-CoV-2 mRNA vaccine and measured influenza-, tetanus- or SARS-CoV-2-specific antibody-secreting cells (ASCs) in long-lived plasma cell (LLPC) and non-LLPC subsets within the BM. Only influenza- and tetanus-specific ASCs were readily detected in the LLPCs, whereas SARS-CoV-2 specificities were mostly absent. The ratios of non-LLPC:LLPC for influenza, tetanus and SARS-CoV-2 were 0.61, 0.44 and 29.07, respectively. In five patients with known PCR-proven history of recent infection and vaccination, SARS-CoV-2-specific ASCs were mostly absent from the LLPCs. We show similar results with measurement for secreted antibodies from BM ASC culture supernatant. While serum IgG titers specific for influenza and tetanus correlated with IgG LLPCs, serum IgG levels for SARS-CoV-2, which waned within 3-6 months after vaccination, were associated with IgG non-LLPCs. In all, our studies suggest that rapid waning of SARS-CoV-2-specific serum antibodies could be accounted for by the absence of BM LLPCs after these mRNA vaccines.
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Affiliation(s)
- Doan C Nguyen
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA, USA
| | - Ian T Hentenaar
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA, USA
| | - Andrea Morrison-Porter
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA, USA
| | - David Solano
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA, USA
| | - Natalie S Haddad
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA, USA
| | - Carlos Castrillon
- Division of Rheumatology, Department of Medicine, Emory University, Atlanta, GA, US
| | - Martin C Runnstrom
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA, USA
- Department of Medicine, Atlanta Veterans Affairs Healthcare System, Atlanta, GA, USA
| | - Pedro A Lamothe
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA, USA
| | - Joel Andrews
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Danielle Roberts
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Sagar Lonial
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Ignacio Sanz
- Division of Rheumatology, Department of Medicine, Emory University, Atlanta, GA, US
- Lowance Center for Human Immunology, Emory University, Atlanta, GA, USA
| | - F Eun-Hyung Lee
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA, USA.
- Lowance Center for Human Immunology, Emory University, Atlanta, GA, USA.
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Shi C, Zhang Y, Ye S, Zhou J, Zhu F, Gao Y, Wang Y, Cong B, Deng S, Li Y, Lu B, Wang X. Infection Rates and Symptomatic Proportion of SARS-CoV-2 and Influenza in Pediatric Population, China, 2023. Emerg Infect Dis 2024; 30:1809-1818. [PMID: 39106459 PMCID: PMC11347007 DOI: 10.3201/eid3009.240065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2024] Open
Abstract
We conducted a longitudinal cohort study of SARS-CoV-2 and influenza rates in childcare centers and schools in Wuxi, China, collecting 1,760 environmental samples and 9,214 throat swabs from 593 students (regardless of symptoms) in weekly collections during February-June 2023. We estimated a cumulative infection rate of 124.8 (74 episodes)/1,000 persons for SARS-CoV-2 and 128.2 (76 episodes)/1,000 persons for influenza. The highest SARS-CoV-2 infection rate was in persons 18 years of age, and for influenza, in children 4 years of age. The asymptomatic proportion of SARS-CoV-2 was 59.6% and 66.7% for influenza; SARS-CoV-2 symptomatic proportion was lower in 16-18-year-olds than in 4-6-year-olds. Only samples from frequently touched surface tested positive for SARS-CoV-2 (4/1,052) and influenza (1/1,052). We found asynchronous circulation patterns of SARS-CoV-2 and influenza, similar to trends in national sentinel surveillance. The results support vaccination among pediatric populations and other interventions, such as environmental disinfection in educational settings.
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Grassly NC, Shaw AG, Owusu M. Global wastewater surveillance for pathogens with pandemic potential: opportunities and challenges. THE LANCET. MICROBE 2024:100939. [PMID: 39222653 DOI: 10.1016/j.lanmic.2024.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 06/24/2024] [Accepted: 07/01/2024] [Indexed: 09/04/2024]
Abstract
Wastewater surveillance holds great promise as a sensitive method to detect spillover of zoonotic infections and early pandemic emergence, thereby informing risk mitigation and public health response. Known viruses with pandemic potential are shed in human stool or urine, or both, and the experiences with SARS-CoV-2, monkeypox virus, and Zika virus highlight the feasibility of community-based wastewater surveillance for pandemic viruses that have different transmission routes. We reviewed human shedding and wastewater surveillance data for prototype viruses representing viral families of concern to estimate the likely sensitivity of wastewater surveillance compared with that of clinical surveillance. We examined how data on wastewater surveillance detection, together with viral genetic sequences and animal faecal biomarkers, could be used to identify spillover infections or early human transmission and adaptation. The opportunities and challenges associated with global wastewater surveillance for the prevention of pandemics are described in this Personal View, focusing on low-income and middle-income countries, where the risk of pandemic emergence is the highest. We propose a research and public health agenda to ensure an equitable and sustainable solution to these challenges.
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Affiliation(s)
- Nicholas C Grassly
- Department of Infectious Disease Epidemiology & MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
| | - Alexander G Shaw
- Department of Infectious Disease Epidemiology & MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK
| | - Michael Owusu
- Department of Medical Diagnostics, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
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Zachreson C, Tobin R, Walker C, Conway E, Shearer FM, McVernon J, Geard N. A model-based assessment of social isolation practices for COVID-19 outbreak response in residential care facilities. BMC Infect Dis 2024; 24:880. [PMID: 39210276 PMCID: PMC11360480 DOI: 10.1186/s12879-024-09788-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 08/21/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Residential aged-care facilities (RACFs, also called long-term care facilities, aged care homes, or nursing homes) have elevated risks of respiratory infection outbreaks and associated disease burden. During the COVID-19 pandemic, social isolation policies were commonly used in these facilities to prevent and mitigate outbreaks. We refer specifically to general isolation policies that were intended to reduce contact between residents, without regard to confirmed infection status. Such policies are controversial because of their association with adverse mental and physical health indicators and there is a lack of modelling that assesses their effectiveness. METHODS In consultation with the Australian Government Department of Health and Aged Care, we developed an agent-based model of COVID-19 transmission in a structured population, intended to represent the salient characteristics of a residential care environment. Using our model, we generated stochastic ensembles of simulated outbreaks and compared summary statistics of outbreaks simulated under different mitigation conditions. Our study focuses on the marginal impact of general isolation (reducing social contact between residents), regardless of confirmed infection. For a realistic assessment, our model included other generic interventions consistent with the Australian Government's recommendations released during the COVID-19 pandemic: isolation of confirmed resident cases, furlough (mandatory paid leave) of staff members with confirmed infection, and deployment of personal protective equipment (PPE) after outbreak declaration. RESULTS In the absence of any asymptomatic screening, general isolation of residents to their rooms reduced median cumulative cases by approximately 27%. However, when conducted concurrently with asymptomatic screening and isolation of confirmed cases, general isolation reduced the median number of cumulative infections by only 12% in our simulations. CONCLUSIONS Under realistic sets of assumptions, our simulations showed that general isolation of residents did not provide substantial benefits beyond those achieved through screening, isolation of confirmed cases, and deployment of PPE. Our results also highlight the importance of effective case isolation, and indicate that asymptomatic screening of residents and staff may be warranted, especially if importation risk from the outside community is high. Our conclusions are sensitive to assumptions about the proportion of total contacts in a facility accounted for by casual interactions between residents.
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Affiliation(s)
- Cameron Zachreson
- School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia.
| | - Ruarai Tobin
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Camelia Walker
- School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Eamon Conway
- The Walter and Eliza Hall Institute, Parkville, Victoria, Australia
| | - Freya M Shearer
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Jodie McVernon
- Victorian Infectious Disease Reference Laboratory Epidemiology Unit, The Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Department of Infectious Diseases, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Nicholas Geard
- School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia
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Shrestha NK, Burke PC, Nowacki AS, Gordon SM. Effectiveness of the 2023-2024 Formulation of the COVID-19 Messenger RNA Vaccine. Clin Infect Dis 2024; 79:405-411. [PMID: 38465901 DOI: 10.1093/cid/ciae132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/27/2024] [Accepted: 03/06/2024] [Indexed: 03/12/2024] Open
Abstract
BACKGROUND The purpose of this study was to evaluate whether the 2023-2024 formulation of the coronavirus disease 2019 (COVID-19) messenger RNA vaccine protects against COVID-19. METHODS Cleveland Clinic employees when the 2023-2024 formulation of the COVID-19 messenger RNA vaccine became available to employees were included. Cumulative incidence of COVID-19 over the following 17 weeks was examined prospectively. Protection provided by vaccination (analyzed as a time-dependent covariate) was evaluated using Cox proportional hazards regression, with time-dependent coefficients used to separate effects before and after the JN.1 lineage became dominant. The analysis was adjusted for the propensity to get tested, age, sex, pandemic phase when the last prior COVID-19 episode occurred, and the number of prior vaccine doses. RESULTS Among 48 210 employees, COVID-19 occurred in 2462 (5.1%) during the 17 weeks of observation. In multivariable analysis, the 2023-2024 formula vaccinated state was associated with a significantly lower risk of COVID-19 before the JN.1 lineage became dominant (hazard ratio = .58; 95% confidence interval [CI] = .49-.68; P < .001), and lower risk but one that did not reach statistical significance after (hazard ratio = .81; 95% CI = .65-1.01; P = .06). Estimated vaccine effectiveness was 42% (95% CI = 32-51) before the JN.1 lineage became dominant, and 19% (95% CI = -1-35) after. Risk of COVID-19 was lower among those previously infected with an XBB or more recent lineage and increased with the number of vaccine doses previously received. CONCLUSIONS The 2023-2024 formula COVID-19 vaccine given to working-aged adults afforded modest protection overall against COVID-19 before the JN.1 lineage became dominant, and less protection after.
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Affiliation(s)
- Nabin K Shrestha
- Department of Infectious Diseases, Cleveland Clinic, Cleveland, Ohio, USA
| | - Patrick C Burke
- Infection Prevention, Cleveland Clinic, Cleveland, Ohio, USA
| | - Amy S Nowacki
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Steven M Gordon
- Department of Infectious Diseases, Cleveland Clinic, Cleveland, Ohio, USA
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8
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Bartsch SM, O'Shea KJ, Weatherwax C, Strych U, Velmurugan K, John DC, Bottazzi ME, Hussein M, Martinez MF, Chin KL, Ciciriello A, Heneghan J, Dibbs A, Scannell SA, Hotez PJ, Lee BY. What Is the Economic Benefit of Annual COVID-19 Vaccination From the Adult Individual Perspective? J Infect Dis 2024; 230:382-393. [PMID: 38581432 PMCID: PMC11326810 DOI: 10.1093/infdis/jiae179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 03/20/2024] [Accepted: 04/04/2024] [Indexed: 04/08/2024] Open
Abstract
BACKGROUND With coronavirus disease 2019 (COVID-19) vaccination no longer mandated by many businesses/organizations, it is now up to individuals to decide whether to get any new boosters/updated vaccines going forward. METHODS We developed a Markov model representing the potential clinical/economic outcomes from an individual perspective in the United States of getting versus not getting an annual COVID-19 vaccine. RESULTS For an 18-49 year old, getting vaccinated at its current price ($60) can save the individual on average $30-$603 if the individual is uninsured and $4-$437 if the individual has private insurance, as long as the starting vaccine efficacy against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is ≥50% and the weekly risk of getting infected is ≥0.2%, corresponding to an individual interacting with 9 other people in a day under Winter 2023-2024 Omicron SARS-CoV-2 variant conditions with an average infection prevalence of 10%. For a 50-64 year old, these cost-savings increase to $111-$1278 and $119-$1706 for someone without and with insurance, respectively. The risk threshold increases to ≥0.4% (interacting with 19 people/day), when the individual has 13.4% preexisting protection against infection (eg, vaccinated 9 months earlier). CONCLUSIONS There is both clinical and economic incentive for the individual to continue to get vaccinated against COVID-19 each year.
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Affiliation(s)
- Sarah M Bartsch
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Center for Advanced Technology and Communication in Health, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Pandemic Response Institute, New York City, New York, USA
| | - Kelly J O'Shea
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Center for Advanced Technology and Communication in Health, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Pandemic Response Institute, New York City, New York, USA
| | - Colleen Weatherwax
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Center for Advanced Technology and Communication in Health, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Pandemic Response Institute, New York City, New York, USA
| | - Ulrich Strych
- National School of Tropical Medicine, Department of Pediatrics, and Texas Children's Hospital Center for Vaccine Development, Baylor College of Medicine, Houston, Texas, USA
| | - Kavya Velmurugan
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Center for Advanced Technology and Communication in Health, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Pandemic Response Institute, New York City, New York, USA
| | - Danielle C John
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Center for Advanced Technology and Communication in Health, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Pandemic Response Institute, New York City, New York, USA
| | - Maria Elena Bottazzi
- National School of Tropical Medicine, Department of Pediatrics, and Texas Children's Hospital Center for Vaccine Development, Baylor College of Medicine, Houston, Texas, USA
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, USA
| | - Mustafa Hussein
- Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
| | - Marie F Martinez
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Center for Advanced Technology and Communication in Health, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Pandemic Response Institute, New York City, New York, USA
| | - Kevin L Chin
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Center for Advanced Technology and Communication in Health, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Pandemic Response Institute, New York City, New York, USA
| | - Allan Ciciriello
- National School of Tropical Medicine, Department of Pediatrics, and Texas Children's Hospital Center for Vaccine Development, Baylor College of Medicine, Houston, Texas, USA
| | - Jessie Heneghan
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Center for Advanced Technology and Communication in Health, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Pandemic Response Institute, New York City, New York, USA
| | - Alexis Dibbs
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Center for Advanced Technology and Communication in Health, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Pandemic Response Institute, New York City, New York, USA
| | - Sheryl A Scannell
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Center for Advanced Technology and Communication in Health, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Pandemic Response Institute, New York City, New York, USA
| | - Peter J Hotez
- National School of Tropical Medicine, Department of Pediatrics, and Texas Children's Hospital Center for Vaccine Development, Baylor College of Medicine, Houston, Texas, USA
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, USA
| | - Bruce Y Lee
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Center for Advanced Technology and Communication in Health, Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
- Pandemic Response Institute, New York City, New York, USA
- Graduate School of Public Health and Health Policy, City University of New York, New York City, New York, USA
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9
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Grebe E, Stone M, Spencer BR, Akinseye A, Wright DJ, Di Germanio C, Bruhn R, Zurita KG, Contestable P, Green V, Lanteri MC, Saa P, Biggerstaff BJ, Coughlin MM, Kleinman S, Custer B, Jones JM, Busch MP. Detection of Nucleocapsid Antibodies Associated with Primary SARS-CoV-2 Infection in Unvaccinated and Vaccinated Blood Donors. Emerg Infect Dis 2024; 30:1621-1630. [PMID: 38981189 PMCID: PMC11286071 DOI: 10.3201/eid3008.240659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2024] Open
Abstract
Nucleocapsid antibody assays can be used to estimate SARS-CoV-2 infection prevalence in regions implementing spike-based COVID-19 vaccines. However, poor sensitivity of nucleocapsid antibody assays in detecting infection after vaccination has been reported. We derived a lower cutoff for identifying previous infections in a large blood donor cohort (N = 142,599) by using the Ortho VITROS Anti-SARS-CoV-2 Total-N Antibody assay, improving sensitivity while maintaining specificity >98%. We validated sensitivity in samples donated after self-reported swab-confirmed infections diagnoses. Sensitivity for first infections in unvaccinated donors was 98.1% (95% CI 98.0-98.2) and for infection after vaccination was 95.6% (95% CI 95.6-95.7) based on the standard cutoff. Regression analysis showed sensitivity was reduced in the Delta compared with Omicron period, in older donors, in asymptomatic infections, <30 days after infection, and for infection after vaccination. The standard Ortho N antibody threshold demonstrated good sensitivity, which was modestly improved with the revised cutoff.
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Affiliation(s)
| | | | - Bryan R. Spencer
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Akintunde Akinseye
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - David J. Wright
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Clara Di Germanio
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Roberta Bruhn
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Karla G. Zurita
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Paul Contestable
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Valerie Green
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Marion C. Lanteri
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Paula Saa
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Brad J. Biggerstaff
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Melissa M. Coughlin
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Steve Kleinman
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Jefferson M. Jones
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
| | - Michael P. Busch
- Vitalant Research Institute, San Francisco, California, USA (E. Grebe, M. Stone, C. Di Germanio, R. Bruhn, K.G. Zurita, B. Custer, M.P. Busch)
- University of California, San Francisco (M. Stone, R. Bruhn, M.C. Lanteri, B. Custer, M.P. Busch)
- American Red Cross, Rockville, Maryland, USA (B.R. Spencer, P. Saa)
- Westat, Rockville (A. Akinseye, D. Wright); QuidelOrtho, Rochester, New York, USA (P. Contestable)
- Creative Testing Solutions, Tempe, Arizona, USA (V. Green, M.C. Lanteri)
- Centers for Disease Control and Prevention, Fort Collins, Colorado, USA (B.J. Biggerstaff)
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M.M. Coughlin, J.M. Jones)
- University of British Columbia, Vancouver, British Columbia, Canada (S. Kleinman)
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10
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Bartsch SM, Weatherwax C, Leff B, Wasserman MR, Singh RD, Velmurugan K, John DC, Chin KL, O’Shea KJ, Gussin GM, Martinez MF, Heneghan JL, Scannell SA, Shah TD, Huang SS, Lee BY. Modeling Nursing Home Harms From COVID-19 Staff Furlough Policies. JAMA Netw Open 2024; 7:e2429613. [PMID: 39158906 PMCID: PMC11333984 DOI: 10.1001/jamanetworkopen.2024.29613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 06/28/2024] [Indexed: 08/20/2024] Open
Abstract
Importance Current guidance to furlough health care staff with mild COVID-19 illness may prevent the spread of COVID-19 but may worsen nursing home staffing shortages as well as health outcomes that are unrelated to COVID-19. Objective To compare COVID-19-related with non-COVID-19-related harms associated with allowing staff who are mildly ill with COVID-19 to work while masked. Design, Setting, and Participants This modeling study, conducted from November 2023 to June 2024, used an agent-based model representing a 100-bed nursing home and its residents, staff, and their interactions; care tasks; and resident and staff health outcomes to simulate the impact of different COVID-19 furlough policies over 1 postpandemic year. Exposures Simulating increasing proportions of staff who are mildly ill and are allowed to work while wearing N95 respirators under various vaccination coverage, SARS-CoV-2 transmissibility and severity, and masking adherence. Main Outcomes and Measures The main outcomes were staff and resident COVID-19 cases, staff furlough days, missed care tasks, nursing home resident hospitalizations (related and unrelated to COVID-19), deaths, and costs. Results In the absence of SARS-CoV-2 infection in the study's 100-bed agent-based model, nursing home understaffing resulted in an annual mean (SD) 93.7 (0.7) missed care tasks daily (22.1%), 38.0 (7.6) resident hospitalizations (5.2%), 4.6 (2.2) deaths (0.6%), and 39.7 (19.8) quality-adjusted life years lost from non-COVID-19-related harms, costing $1 071 950 ($217 200) from the Centers for Medicare & Medicaid Services (CMS) perspective and $1 112 800 ($225 450) from the societal perspective. Under the SARS-CoV-2 Omicron variant conditions from 2023 to 2024, furloughing all staff who tested positive for SARS-CoV-2 was associated with a mean (SD) 326.5 (69.1) annual furlough days and 649.5 (95% CI, 593.4-705.6) additional missed care tasks, resulting in 4.3 (95% CI, 2.9-5.9) non-COVID-19-related resident hospitalizations and 0.7 (95% CI, 0.2-1.1) deaths, costing an additional $247 090 (95% CI, $203 160-$291 020) from the CMS perspective and $405 250 (95% CI, $358 550-$451 950) from the societal perspective. Allowing 75% of staff who were mildly ill to work while masked was associated with 5 additional staff and 5 additional resident COVID-19 cases without added COVID-19-related hospitalizations but mitigated staffing shortages, with 475.9 additional care tasks being performed annually, 3.5 fewer non-COVID-19-related hospitalizations, and 0.4 fewer non-COVID-19-related deaths. Allowing staff who were mildly ill to work ultimately saved an annual mean $85 470 (95% CI, $41 210-$129 730) from the CMS perspective and $134 450 (95% CI, $86 370-$182 540) from the societal perspective. These results were robust to increased vaccination coverage, increased nursing home transmission, increased importation of COVID-19 from the community, and failure to mask while working ill. Conclusion and Relevance In this modeling study of staff COVID-19 furlough policies, allowing nursing home staff to work with mild COVID-19 illness was associated with fewer resident harms from staffing shortages and missed care tasks than harms from increased COVID-19 transmission, ultimately saving substantial direct medical and societal costs.
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Affiliation(s)
- Sarah M. Bartsch
- Center for Advanced Technology and Communication in Health, City University of New York Graduate School of Public Health and Health Policy, New York
- Public Health Informatics, Computational, and Operations Research, City University of New York Graduate School of Public Health and Health Policy, New York
- Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems Center, City University of New York Graduate School of Public Health and Health Policy, New York
| | - Colleen Weatherwax
- Center for Advanced Technology and Communication in Health, City University of New York Graduate School of Public Health and Health Policy, New York
- Public Health Informatics, Computational, and Operations Research, City University of New York Graduate School of Public Health and Health Policy, New York
- Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems Center, City University of New York Graduate School of Public Health and Health Policy, New York
| | - Bruce Leff
- Division of Geriatric Medicine and Gerontology, The Center for Transformative Geriatric Research, Johns Hopkins School of Medicine, Baltimore, Maryland
| | | | - Raveena D. Singh
- Division of Infectious Diseases, Department of Medicine, University of California Irvine School of Medicine, Irvine
| | - Kavya Velmurugan
- Center for Advanced Technology and Communication in Health, City University of New York Graduate School of Public Health and Health Policy, New York
- Public Health Informatics, Computational, and Operations Research, City University of New York Graduate School of Public Health and Health Policy, New York
- Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems Center, City University of New York Graduate School of Public Health and Health Policy, New York
| | - Danielle C. John
- Center for Advanced Technology and Communication in Health, City University of New York Graduate School of Public Health and Health Policy, New York
- Public Health Informatics, Computational, and Operations Research, City University of New York Graduate School of Public Health and Health Policy, New York
- New York City Pandemic Response Institute, New York
| | - Kevin L. Chin
- Center for Advanced Technology and Communication in Health, City University of New York Graduate School of Public Health and Health Policy, New York
- Public Health Informatics, Computational, and Operations Research, City University of New York Graduate School of Public Health and Health Policy, New York
- Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems Center, City University of New York Graduate School of Public Health and Health Policy, New York
| | - Kelly J. O’Shea
- Center for Advanced Technology and Communication in Health, City University of New York Graduate School of Public Health and Health Policy, New York
- Public Health Informatics, Computational, and Operations Research, City University of New York Graduate School of Public Health and Health Policy, New York
- Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems Center, City University of New York Graduate School of Public Health and Health Policy, New York
| | - Gabrielle M. Gussin
- Division of Infectious Diseases, Department of Medicine, University of California Irvine School of Medicine, Irvine
| | - Marie F. Martinez
- Center for Advanced Technology and Communication in Health, City University of New York Graduate School of Public Health and Health Policy, New York
- Public Health Informatics, Computational, and Operations Research, City University of New York Graduate School of Public Health and Health Policy, New York
- Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems Center, City University of New York Graduate School of Public Health and Health Policy, New York
| | - Jessie L. Heneghan
- Center for Advanced Technology and Communication in Health, City University of New York Graduate School of Public Health and Health Policy, New York
- Public Health Informatics, Computational, and Operations Research, City University of New York Graduate School of Public Health and Health Policy, New York
- Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems Center, City University of New York Graduate School of Public Health and Health Policy, New York
| | - Sheryl A. Scannell
- Center for Advanced Technology and Communication in Health, City University of New York Graduate School of Public Health and Health Policy, New York
- Public Health Informatics, Computational, and Operations Research, City University of New York Graduate School of Public Health and Health Policy, New York
- Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems Center, City University of New York Graduate School of Public Health and Health Policy, New York
| | - Tej D. Shah
- Center for Advanced Technology and Communication in Health, City University of New York Graduate School of Public Health and Health Policy, New York
- Public Health Informatics, Computational, and Operations Research, City University of New York Graduate School of Public Health and Health Policy, New York
- Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems Center, City University of New York Graduate School of Public Health and Health Policy, New York
| | - Susan S. Huang
- Division of Infectious Diseases, Department of Medicine, University of California Irvine School of Medicine, Irvine
| | - Bruce Y. Lee
- Center for Advanced Technology and Communication in Health, City University of New York Graduate School of Public Health and Health Policy, New York
- Public Health Informatics, Computational, and Operations Research, City University of New York Graduate School of Public Health and Health Policy, New York
- Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems Center, City University of New York Graduate School of Public Health and Health Policy, New York
- New York City Pandemic Response Institute, New York
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11
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Gandjour A. Evaluating the Usefulness of Population-Wide COVID-19 Testing in the Omicron Era: Insights from a German Model. DAS GESUNDHEITSWESEN 2024. [PMID: 39047785 DOI: 10.1055/a-2328-4165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2024]
Abstract
BACKGROUND The Omicron variant of SARS-CoV-2, which has become dominant worldwide since late 2021, presents a unique challenge due to its high rate of asymptomatic transmission. This study evaluates the efficacy and value of population-wide testing, including self-testing, in the context of COVID-19, particularly under the Omicron variant, using data from Germany. METHODS A decision-analytical model and secondary data was used for assessing the impact of systematic screening and testing for COVID-19. Various scenarios were taken into consideration including seasonal patterns of COVID-19 transmission and the potential for annual waves. The model assessed the clinical benefits of testing against the backdrop of vaccine effectiveness, transmission rates, and the potential to prevent severe clinical events, including death, ICU admission, and long COVID syndrome. RESULTS The study found that the value of mass testing and self-testing for private use was highly contingent on the transmission rate and the scenario of COVID-19 waves (seasonal vs. continuous). For winter waves, a very high incidence rate was required to justify testing, while for continuous waves, testing could be valuable for those in contact with individuals in their last decade of life. The analysis highlighted the limitations of mass testing when community transmission rates were low and the potential value of testing in high-risk contacts or amidst new outbreaks. DISCUSSION The findings suggest that the resumption of testing during winter waves is unlikely to provide significant clinical benefits given the current understanding of Omicron's transmission and immunity waning. This study underscores the need for a nuanced approach to COVID-19 testing policies, considering both the epidemiological context and the practical implications of testing strategies.
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Affiliation(s)
- Afschin Gandjour
- Frankfurt School of Finance & Management gGmbH Economics Department, Frankfurt, Germany
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Liu P, Cao K, Dai G, Chen T, Zhao Y, Xu H, Xu X, Cao Q, Zhan Y, Zuo X. Omicron variant and pulmonary involvements: a chest imaging analysis in asymptomatic and mild COVID-19. Front Public Health 2024; 12:1325474. [PMID: 39035180 PMCID: PMC11258674 DOI: 10.3389/fpubh.2024.1325474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 06/24/2024] [Indexed: 07/23/2024] Open
Abstract
Objectives To identify clinical characteristics and risk factors for pulmonary involvements in asymptomatic and mildly symptomatic patients infected with SARS-CoV-2 Omicron variant by chest imaging analysis. Methods Detailed data and chest computed tomography (CT) imaging features were retrospectively analyzed from asymptomatic and mildly symptomatic patients infected with Omicron between 24 April and 10 May 2022. We scored chest CT imaging features and categorized the patients into obvious pulmonary involvements (OPI) (score > 2) and not obvious pulmonary involvements (NOPI) (score ≤ 2) groups based on the median score. The risk factors for OPI were identified with analysis results visualized by nomogram. Results In total, 339 patients were included (145 were male and 194 were female), and the most frequent clinical symptoms were cough (75.5%); chest CT imaging features were mostly linear opacities (42.8%). Pulmonary involvements were more likely to be found in the left lower lung lobe, with a significant difference in the lung total severity score of the individual lung lobes (p < 0.001). Logistic regression analysis revealed age stratification [odds ratio (OR) = 1.92, 95% confidence interval (CI) (1.548-2.383); p < 0.001], prolonged nucleic acid negative conversion time (NCT) (NCT > 8d) [OR = 1.842, 95% CI (1.104-3.073); p = 0.019], and pulmonary diseases [OR = 4.698, 95% CI (1.159-19.048); p = 0.03] as independent OPI risk factors. Conclusion Asymptomatic and mildly symptomatic patients infected with Omicron had pulmonary involvements which were not uncommon. Potential risk factors for age stratification, prolonged NCT, and pulmonary diseases can help clinicians to identify OPI in asymptomatic and mildly symptomatic patients infected with Omicron.
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Affiliation(s)
- Peiben Liu
- Department of Critical Care Medicine, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Kejun Cao
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Guanqun Dai
- Department of Comprehensive Internal Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Tingzhen Chen
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yifan Zhao
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hai Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiaoquan Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Quan Cao
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yiyang Zhan
- Department of Comprehensive Internal Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiangrong Zuo
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
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13
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Shi N, Marcato A, Spirkoska V, Meagher N, Villanueva‐Cabezas J, Price D. The Asymptomatic Proportion of SARS-CoV-2 Omicron Variant Infections in Households: A Systematic Review. Influenza Other Respir Viruses 2024; 18:e13348. [PMID: 38949103 PMCID: PMC11215535 DOI: 10.1111/irv.13348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 06/04/2024] [Accepted: 06/05/2024] [Indexed: 07/02/2024] Open
Abstract
Understanding the clinical spectrum of SARS-CoV-2 infection, including the asymptomatic fraction, is important as asymptomatic individuals are still able to infect other individuals and contribute to ongoing transmission. The WHO Unity Household transmission investigation (HHTI) protocol provides a platform for the prospective and systematic collection of high-quality clinical, epidemiological, serological and virological data from SARS-CoV-2 confirmed cases and their household contacts. These data can be used to understand key severity and transmissibility parameters-including the asymptomatic proportion-in relation to local epidemic context and help inform public health response. We aimed to estimate the asymptomatic proportion of SARS-CoV-2 Omicron variant infections in Unity-aligned HHTIs. We conducted a systematic review and meta-analysis in alignment with the PRISMA 2020 guidelines and registered our systematic review on PROSPERO (CRD42022378648). We searched EMBASE, Web of Science, MEDLINE and bioRxiv and medRxiv from 1 November 2021 to 22 August 2023. We identified 8368 records, of which 98 underwent full text review. We identified only three studies for data extraction, with substantial variation in study design and corresponding estimates of the asymptomatic proportion. As a result, we did not generate a pooled estimate or I2 metric. The limited number of quality studies that we identified highlights the need for improved preparedness and response capabilities to facilitate robust HHTI implementation, analysis and reporting, to better inform national, regional and global risk assessments and policymaking.
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Affiliation(s)
- Nancy D. J. Shi
- Department of Infectious Diseases, The University of Melbourneat the Peter Doherty Institute for Infection and ImmunityMelbourneVictoriaAustralia
| | - Adrian J. Marcato
- Department of Infectious Diseases, The University of Melbourneat the Peter Doherty Institute for Infection and ImmunityMelbourneVictoriaAustralia
| | - Violeta Spirkoska
- Department of Infectious Diseases, The University of Melbourneat the Peter Doherty Institute for Infection and ImmunityMelbourneVictoriaAustralia
| | - Niamh Meagher
- Department of Infectious Diseases, The University of Melbourneat the Peter Doherty Institute for Infection and ImmunityMelbourneVictoriaAustralia
| | - Juan‐Pablo Villanueva‐Cabezas
- Department of Infectious Diseases, The University of Melbourneat the Peter Doherty Institute for Infection and ImmunityMelbourneVictoriaAustralia
- The Nossal Institute for Global HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - David J. Price
- Department of Infectious Diseases, The University of Melbourneat the Peter Doherty Institute for Infection and ImmunityMelbourneVictoriaAustralia
- Centre for Epidemiology & Biostatistics, Melbourne School of Population & Global HealthThe University of MelbourneMelbourneVictoriaAustralia
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14
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Verburgh ML, Boyd A, Schim van der Loeff MF, Bakker M, Wit FWNM, van der Valk M, Grobben M, van Pul L, Tejjani K, van Rijswijk J, van Gils MJ, Kootstra NA, van der Hoek L, Reiss P. Similar Limited Protection Against Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Infection in Vaccinated Individuals With HIV and Comparable Controls. Open Forum Infect Dis 2024; 11:ofae380. [PMID: 39070044 PMCID: PMC11273239 DOI: 10.1093/ofid/ofae380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 07/04/2024] [Indexed: 07/30/2024] Open
Abstract
Background Little is known about the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron infection in people with human immunodeficiency virus (HIV; PWH) with vaccine-induced or hybrid immunity. We assessed the incidence of Omicron infection in 209 AGEhIV coronavirus disease 2019 substudy participants with well-controlled HIV on antiretroviral therapy and 280 comparable controls, who had received at least the primary vaccination series. Methods From September 2020 onward, participants were assessed every 6 months for the incidence of SARS-CoV-2 infection, per SARS-CoV-2 nucleocapsid antibody assay or self-reported positive antigen or polymerase chain reaction test. Between 1 January and 31 October 2022, the cumulative incidence of Omicron infection and associated risk factors were estimated using a conditional risk-set Cox proportional hazards model. Results The cumulative incidence of a first Omicron infection was 58.3% by 31 October 2022, not significantly different between groups. HIV status was not independently associated with acquiring Omicron infection. Former and current smoking, as well as an increased predicted anti-spike immunoglobulin G titer were significantly associated with a lower risk of Omicron infection. The majority of infections were symptomatic, but none required hospitalization. Conclusions People with well-controlled HIV and controls in our cohort experienced a similarly high proportion of Omicron infections. More booster vaccinations significantly reduced the risk of infection. Clinical Trial Registration. NCT01466582.
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Affiliation(s)
- Myrthe L Verburgh
- Amsterdam University Medical Centers, University of Amsterdam, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam University Medical Centers, University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands
| | - Anders Boyd
- Amsterdam University Medical Centers, University of Amsterdam, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- HIV Monitoring Foundation, Amsterdam, the Netherlands
- Public Health Service of Amsterdam, Infectious Diseases, Amsterdam, The Netherlands
| | - Maarten F Schim van der Loeff
- Amsterdam University Medical Centers, University of Amsterdam, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- Public Health Service of Amsterdam, Infectious Diseases, Amsterdam, The Netherlands
| | - Margreet Bakker
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam University Medical Centers, University of Amsterdam, Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Amsterdam, The Netherlands
| | - Ferdinand W N M Wit
- Amsterdam University Medical Centers, University of Amsterdam, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- HIV Monitoring Foundation, Amsterdam, the Netherlands
| | - Marc van der Valk
- Amsterdam University Medical Centers, University of Amsterdam, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- HIV Monitoring Foundation, Amsterdam, the Netherlands
| | - Marloes Grobben
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam University Medical Centers, University of Amsterdam, Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Amsterdam, The Netherlands
| | - Lisa van Pul
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam University Medical Centers, University of Amsterdam, Experimental Immunology, Amsterdam, The Netherlands
| | - Khadija Tejjani
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam University Medical Centers, University of Amsterdam, Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Amsterdam, The Netherlands
| | - Jacqueline van Rijswijk
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam University Medical Centers, University of Amsterdam, Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Amsterdam, The Netherlands
| | - Marit J van Gils
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam University Medical Centers, University of Amsterdam, Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Amsterdam, The Netherlands
| | - Neeltje A Kootstra
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam University Medical Centers, University of Amsterdam, Experimental Immunology, Amsterdam, The Netherlands
| | - Lia van der Hoek
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam University Medical Centers, University of Amsterdam, Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Amsterdam, The Netherlands
| | - Peter Reiss
- Amsterdam University Medical Centers, University of Amsterdam, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
- Amsterdam University Medical Centers, University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands
- Amsterdam University Medical Centers, University of Amsterdam, Global Health, Amsterdam, The Netherlands
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Xu L, Gao Y, Shi D, Wang Y, Li R, Cai Y. Social support moderates the relationship between sleep quality and mental health: A Chinese Fangcang shelter hospital-based study in asymptomatic COVID-19 carriers. Heliyon 2024; 10:e31782. [PMID: 38841459 PMCID: PMC11152662 DOI: 10.1016/j.heliyon.2024.e31782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 05/12/2024] [Accepted: 05/22/2024] [Indexed: 06/07/2024] Open
Abstract
This study aimed to determine the association between sleep quality and mental health in COVID-19 carriers in China and evaluate the moderating effects of perceived social support. 1283 asymptomatic COVID-19 carriers were enrolled from March 2022 to April 2022 among Ruijin Jiahe Fangcang shelter hospital in Shanghai, China. They were assessed using the Pittsburgh Sleep Quality Index (PSQI), the General Health Questionnaire (GHQ), and the Perceived Social Support Scale (PSSS) respectively. Participants had an average age of 39.64 years and 59.6 % of whom were male. In total, 34.3 % of participants presented with poor sleep quality; 41.1 % showed bad mental health. Sleep quality was positively related to mental health (r = 0.321, P < 0.001, 95 %CI = 0.267, 0.369) and social support was negatively related to mental health (r = -0.414, P < 0.001, 95 %CI = -0.457, -0.367). Meanwhile, social support played a moderating role between sleep quality and mental health (β = 0.066, P < 0.05, 95 %CI = 0.016, 0.117). These findings indicate that mental health resulting from the COVID-19 pandemic are increasingly apparent in China and provide a focus on sleep quality for the early prevention of mental health in asymptomatic carriers. And social support may be beneficial to the improvement of mental health, especially for people in crisis (e.g., COVID-19 pandemic).
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Affiliation(s)
- Lulu Xu
- Department of Public Health, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
- Center for Community Health Care, Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, 200025, China
| | - Ying Gao
- Department of Public Health, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
- Center for Community Health Care, Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, 200025, China
| | - Dake Shi
- Department of Infection Control, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Ying Wang
- Department of Public Health, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
- Center for Community Health Care, Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, 200025, China
| | - Rui Li
- Department of Nursing, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
| | - Yong Cai
- Department of Public Health, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
- Center for Community Health Care, Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, 200025, China
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16
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Honein-AbouHaidar G, Rizkallah C, Bou Akl I, Morgano GP, Vrbová T, van Deventer E, Del Rosario Perez M, Akl EA. Understanding contextual and practical factors to inform WHO recommendations on using chest imaging to monitor COVID-19 pulmonary sequelae: a qualitative study exploring stakeholders' perspective. Health Res Policy Syst 2024; 22:67. [PMID: 38862978 PMCID: PMC11167887 DOI: 10.1186/s12961-023-01088-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 12/02/2023] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND A recommendation by the World Health Organization (WHO) was issued about the use of chest imaging to monitor pulmonary sequelae following recovery from COVID-19. This qualitative study aimed to explore the perspective of key stakeholders to understand their valuation of the outcome of the proposition, preferences for the modalities of chest imaging, acceptability, feasibility, impact on equity and practical considerations influencing the implementation of using chest imaging. METHODS A qualitative descriptive design using in-depth interviews approach. Key stakeholders included adult patients who recovered from the acute illness of COVID-19, and providers caring for those patients. The Evidence to Decision (EtD) conceptual framework was used to guide data collection of contextual and practical factors related to monitoring using imaging. Data analysis was based on the framework thematic analysis approach. RESULTS 33 respondents, including providers and patients, were recruited from 15 different countries. Participants highly valued the ability to monitor progression and resolution of long-term sequelae but recommended the avoidance of overuse of imaging. Their preferences for the imaging modalities were recorded along with pros and cons. Equity concerns were reported across countries (e.g., access to resources) and within countries (e.g., disadvantaged groups lacked access to insurance). Both providers and patients accepted the use of imaging, some patients were concerned about affordability of the test. Facilitators included post- recovery units and protocols. Barriers to feasibility included low number of specialists in some countries, access to imaging tests among elderly living in nursing homes, experience of poor coordination of care, emotional exhaustion, and transportation challenges driving to a monitoring site. CONCLUSION We were able to demonstrate that there is a high value and acceptability using imaging but there were factors influencing feasibility, equity and some practical considerations associated with implementation. We had a few suggestions to be considered by the expert panel in the formulation of the guideline to facilitate its implementation such as using validated risk score predictive tools for lung complications to recommend the appropriate imaging modality and complementary pulmonary function test.
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Affiliation(s)
| | - Cynthia Rizkallah
- Hariri School of Nursing, American University of Beirut, Beirut, Lebanon
| | - Imad Bou Akl
- Department of Internal Medicine, American University of Beirut, Beirut, Lebanon
| | - Gian Paolo Morgano
- Department of Health Research Methods, Evidence and Impact McMaster University, 1280 Main Street West, Hamilton, Canada
| | - Tereza Vrbová
- Czech National Centre for Evidence-Based Healthcare and Knowledge Translation (CEBHC-KT), Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Emilie van Deventer
- Radiation and Health Unit, Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland.
| | - Maria Del Rosario Perez
- Radiation and Health Unit, Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland
| | - Elie A Akl
- Department of Medicine, American University of Beirut, Riad-El-Solh, P.O. Box 11-0236, Beirut, 1107 2020, Lebanon.
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Valdivia N, Hirschhorn LR, Vu TH, Dubois C, Moskowitz JT, Wilkins JT, Evans CT. Utilization of at-home tests for coronavirus disease 2019 (COVID-19) among healthcare workers in Chicago. ANTIMICROBIAL STEWARDSHIP & HEALTHCARE EPIDEMIOLOGY : ASHE 2024; 4:e58. [PMID: 38698942 PMCID: PMC11062791 DOI: 10.1017/ash.2024.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/15/2024] [Accepted: 01/18/2024] [Indexed: 05/05/2024]
Abstract
Objective To describe utilization of at-home coronavirus disease 2019 (COVID-19) testing among healthcare workers (HCW). Design Serial cross-sectional study. Setting and participants HCWs in the Chicago area. Methods Serial surveys were conducted from the Northwestern Medicine (NM HCW SARS-CoV-2) Serology Cohort Study. In April 2022, participants reflected on the past 30 days to complete an online survey regarding COVID-19 home testing. Surveys were repeated in June and November 2022. The percentage of completed home tests and ever-positive tests were reported. Multivariable Poisson regression was used to calculate prevalence rate ratios (PRR) and univariate analysis was used for association between participant characteristics with home testing and positivity. Results Overall, 2,226 (62.4%) of 3,569 responded to the survey in April. Home testing was reported by 26.6% of respondents and 5.9% reported having at least one positive home test. Testing was highest among those 30-39 years old (35.9%) and nurses (28.3%). A positive test was associated (P < .001) with exposure to people, other than patients with known or suspected COVID-19. Home testing increased in June to 36.4% (positivity 19.9%) and decreased to 25% (positivity 13.5%) by November. Conclusion Our cohort findings show the overall increase in both home testing and ever positivity from April to November - a period where changes in variants of concern of SARS-CoV-2 were reported nationwide. Having an exposure to people, other than patients with known or suspected COVID-19 was significantly associated with both, higher home testing frequency and ever-test positivity.
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Affiliation(s)
- Nathaly Valdivia
- Center for Health Services and Outcomes Research, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Lisa R. Hirschhorn
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Thanh-Huyen Vu
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Cerina Dubois
- Institute for Public Health and Medicine, Center for Education in Health Sciences, Northwestern University, Chicago, IL, USA
| | - Judith T. Moskowitz
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - John T. Wilkins
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Division of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Charlesnika T. Evans
- Center for Health Services and Outcomes Research, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Center of Innovation for Complex Chronic Healthcare, Department of Veterans’ Affairs, Edward Hines, Jr, VA Hospital, Hines, IL, USA
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18
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Fust K, Joshi K, Beck E, Maschio M, Kohli M, Lee A, Hagiwara Y, Van de Velde N, Igarashi A. The Potential Economic Impact of the Updated COVID-19 mRNA Fall 2023 Vaccines in Japan. Vaccines (Basel) 2024; 12:434. [PMID: 38675816 PMCID: PMC11054439 DOI: 10.3390/vaccines12040434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 03/21/2024] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
This analysis estimates the economic and clinical impact of a Moderna updated COVID-19 mRNA Fall 2023 vaccine for adults ≥18 years in Japan. A previously developed Susceptible-Exposed-Infected-Recovered (SEIR) model with a one-year analytic time horizon (September 2023-August 2024) and consequences decision tree were used to estimate symptomatic infections, COVID-19 related hospitalizations, deaths, quality-adjusted life years (QALYs), costs, and incremental cost-effectiveness ratio (ICER) for a Moderna updated Fall 2023 vaccine versus no additional vaccination, and versus a Pfizer-BioNTech updated mRNA Fall 2023 vaccine. The Moderna vaccine is predicted to prevent 7.2 million symptomatic infections, 272,100 hospitalizations and 25,600 COVID-19 related deaths versus no vaccine. In the base case (healthcare perspective), the ICER was ¥1,300,000/QALY gained ($9400 USD/QALY gained). Sensitivity analyses suggest results are most affected by COVID-19 incidence, initial vaccine effectiveness (VE), and VE waning against infection. Assuming the relative VE between both bivalent vaccines apply to updated Fall 2023 vaccines, the base case suggests the Moderna version will prevent an additional 1,100,000 symptomatic infections, 27,100 hospitalizations, and 2600 deaths compared to the Pfizer-BioNTech vaccine. The updated Moderna vaccine is expected to be highly cost-effective at a ¥5 million willingness-to-pay threshold across a wide range of scenarios.
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Affiliation(s)
- Kelly Fust
- Quadrant Health Economics Inc., 92 Cottonwood Crescent, Cambridge, ON N1T 2J1, Canada (A.L.)
| | - Keya Joshi
- Moderna, Inc., 325 Binney Street, Cambridge, MA 02142, USA; (K.J.)
| | - Ekkehard Beck
- Moderna, Inc., 325 Binney Street, Cambridge, MA 02142, USA; (K.J.)
| | - Michael Maschio
- Quadrant Health Economics Inc., 92 Cottonwood Crescent, Cambridge, ON N1T 2J1, Canada (A.L.)
| | - Michele Kohli
- Quadrant Health Economics Inc., 92 Cottonwood Crescent, Cambridge, ON N1T 2J1, Canada (A.L.)
| | - Amy Lee
- Quadrant Health Economics Inc., 92 Cottonwood Crescent, Cambridge, ON N1T 2J1, Canada (A.L.)
| | - Yuriko Hagiwara
- Moderna, Inc., Kamiyacho Trust Tower, 4-1-1 Toranomon, Minato-ku, Tokyo 105-6923, Japan
| | | | - Ataru Igarashi
- Graduate School of Pharmaceutical Sciences, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Graduate School of Data Sciences, Yokohama City University School of Medicine, 22-2 Seto, Kanazawa Ward, Yokohama 236-0027, Japan
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Bartsch SM, Weatherwax C, Wasserman MR, Chin KL, Martinez MF, Velmurugan K, Singh RD, John DC, Heneghan JL, Gussin GM, Scannell SA, Tsintsifas AC, O'Shea KJ, Dibbs AM, Leff B, Huang SS, Lee BY. How the Timing of Annual COVID-19 Vaccination of Nursing Home Residents and Staff Affects Its Value. J Am Med Dir Assoc 2024; 25:639-646.e5. [PMID: 38432644 PMCID: PMC10990766 DOI: 10.1016/j.jamda.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 02/07/2024] [Accepted: 02/08/2024] [Indexed: 03/05/2024]
Abstract
OBJECTIVES To evaluate the epidemiologic, clinical, and economic value of an annual nursing home (NH) COVID-19 vaccine campaign and the impact of when vaccination starts. DESIGN Agent-based model representing a typical NH. SETTING AND PARTICIPANTS NH residents and staff. METHODS We used the model representing an NH with 100 residents, its staff, their interactions, COVID-19 spread, and its health and economic outcomes to evaluate the epidemiologic, clinical, and economic value of varying schedules of annual COVID-19 vaccine campaigns. RESULTS Across a range of scenarios with a 60% vaccine efficacy that wanes starting 4 months after protection onset, vaccination was cost saving or cost-effective when initiated in the late summer or early fall. Annual vaccination averted 102 to 105 COVID-19 cases when 30-day vaccination campaigns began between July and October (varying with vaccination start), decreasing to 97 and 85 cases when starting in November and December, respectively. Starting vaccination between July and December saved $3340 to $4363 and $64,375 to $77,548 from the Centers for Medicare & Medicaid Services and societal perspectives, respectively (varying with vaccination start). Vaccination's value did not change when varying the COVID-19 peak between December and February. The ideal vaccine campaign timing was not affected by reducing COVID-19 levels in the community, or varying transmission probability, preexisting immunity, or COVID-19 severity. However, if vaccine efficacy wanes more quickly (over 1 month), earlier vaccination in July resulted in more cases compared with vaccinating later in October. CONCLUSIONS AND IMPLICATIONS Annual vaccination of NH staff and residents averted the most cases when initiated in the late summer through early fall, at least 2 months before the COVID-19 winter peak but remained cost saving or cost-effective when it starts in the same month as the peak. This supports tethering COVID vaccination to seasonal influenza campaigns (typically in September-October) for providing protection against SARS-CoV-2 winter surges in NHs.
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Affiliation(s)
- Sarah M Bartsch
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA
| | - Colleen Weatherwax
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA
| | | | - Kevin L Chin
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA
| | - Marie F Martinez
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA
| | - Kavya Velmurugan
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA
| | - Raveena D Singh
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine, CA, USA
| | - Danielle C John
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Pandemic Response Institute, New York City, NY, USA
| | - Jessie L Heneghan
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA
| | - Gabrielle M Gussin
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine, CA, USA
| | - Sheryl A Scannell
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA
| | - Alexandra C Tsintsifas
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA
| | - Kelly J O'Shea
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA
| | - Alexis M Dibbs
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA
| | - Bruce Leff
- Division of Geriatric Medicine, Center for Transformative Geriatric Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Susan S Huang
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine, CA, USA
| | - Bruce Y Lee
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA; Pandemic Response Institute, New York City, NY, USA.
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20
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Duan C, Liu L, Wang T, Wang G, Jiang Z, Li H, Zhang G, Ye L, Li C, Cao Y. Evidence linking COVID-19 and the health/well-being of children and adolescents: an umbrella review. BMC Med 2024; 22:116. [PMID: 38481207 PMCID: PMC10938697 DOI: 10.1186/s12916-024-03334-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 03/04/2024] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND Experiences during childhood and adolescence have enduring impacts on physical and mental well-being, overall quality of life, and socioeconomic status throughout one's lifetime. This underscores the importance of prioritizing the health of children and adolescents to establish an impactful healthcare system that benefits both individuals and society. It is crucial for healthcare providers and policymakers to examine the relationship between COVID-19 and the health of children and adolescents, as this understanding will guide the creation of interventions and policies for the long-term management of the virus. METHODS In this umbrella review (PROSPERO ID: CRD42023401106), systematic reviews were identified from the Cochrane Database of Systematic Reviews; EMBASE (OvidSP); and MEDLINE (OvidSP) from December 2019 to February 2023. Pairwise and single-arm meta-analyses were extracted from the included systematic reviews. The methodological quality appraisal was completed using the AMSTAR-2 tool. Single-arm meta-analyses were re-presented under six domains associated with COVID-19 condition. Pairwise meta-analyses were classified into five domains according to the evidence classification criteria. Rosenberg's FSN was calculated for both binary and continuous measures. RESULTS We identified 1551 single-arm and 301 pairwise meta-analyses from 124 systematic reviews that met our predefined criteria for inclusion. The focus of the meta-analytical evidence was predominantly on the physical outcomes of COVID-19, encompassing both single-arm and pairwise study designs. However, the quality of evidence and methodological rigor were suboptimal. Based on the evidence gathered from single-arm meta-analyses, we constructed an illustrative representation of the disease severity, clinical manifestations, laboratory and radiological findings, treatments, and outcomes from 2020 to 2022. Additionally, we discovered 17 instances of strong or highly suggestive pairwise meta-analytical evidence concerning long-COVID, pediatric comorbidity, COVID-19 vaccines, mental health, and depression. CONCLUSIONS The findings of our study advocate for the implementation of surveillance systems to track health consequences associated with COVID-19 and the establishment of multidisciplinary collaborative rehabilitation programs for affected younger populations. In future research endeavors, it is important to prioritize the investigation of non-physical outcomes to bridge the gap between research findings and clinical application in this field.
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Affiliation(s)
- Chengchen Duan
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, No.14, 3rd Section of Ren Min Nan Rd., Chengdu, 610041, China
| | - Liu Liu
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, No.14, 3rd Section of Ren Min Nan Rd., Chengdu, 610041, China
- Department of Conservative Dentistry and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Tianyi Wang
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, No.14, 3rd Section of Ren Min Nan Rd., Chengdu, 610041, China
| | - Guanru Wang
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, No.14, 3rd Section of Ren Min Nan Rd., Chengdu, 610041, China
- Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Zhishen Jiang
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, No.14, 3rd Section of Ren Min Nan Rd., Chengdu, 610041, China
| | - Honglin Li
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, No.14, 3rd Section of Ren Min Nan Rd., Chengdu, 610041, China
- Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Gaowei Zhang
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, No.14, 3rd Section of Ren Min Nan Rd., Chengdu, 610041, China
- Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Li Ye
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, No.14, 3rd Section of Ren Min Nan Rd., Chengdu, 610041, China
- Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Chunjie Li
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, No.14, 3rd Section of Ren Min Nan Rd., Chengdu, 610041, China
- Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- Department of Evidence-Based Stomatology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Yubin Cao
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, No.14, 3rd Section of Ren Min Nan Rd., Chengdu, 610041, China.
- Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
- Department of Evidence-Based Stomatology, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
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21
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Smirnova A, Baroonian M. Reconstruction of incidence reporting rate for SARS-CoV-2 Delta variant of COVID-19 pandemic in the US. Infect Dis Model 2024; 9:70-83. [PMID: 38125200 PMCID: PMC10733106 DOI: 10.1016/j.idm.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 12/03/2023] [Accepted: 12/03/2023] [Indexed: 12/23/2023] Open
Abstract
In recent years, advanced regularization techniques have emerged as a powerful tool aimed at stable estimation of infectious disease parameters that are crucial for future projections, prevention, and control. Unlike other system parameters, i.e., incubation and recovery rates, the case reporting rate, Ψ, and the time-dependent effective reproduction number, R e ( t ) , are directly influenced by a large number of factors making it impossible to pre-estimate these parameters in any meaningful way. In this study, we propose a novel iteratively-regularized trust-region optimization algorithm, combined with SuSvIuIvRD compartmental model, for stable reconstruction of Ψ and R e ( t ) from reported epidemic data on vaccination percentages, incidence cases, and daily deaths. The innovative regularization procedure exploits (and takes full advantage of) a unique structure of the Jacobian and Hessian approximation for the nonlinear observation operator. The proposed inversion method is thoroughly tested with synthetic and real SARS-CoV-2 Delta variant data for different regions in the United States of America from July 9, 2021, to November 25, 2021. Our study shows that case reporting rate during the Delta wave of COVID-19 pandemic in the US is between 12% and 37%, with most states being in the range from 15% to 25%. This confirms earlier accounts on considerable under-reporting of COVID-19 cases due to the impact of "silent spreaders" and the limitations of testing.
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Affiliation(s)
- Alexandra Smirnova
- Department of Mathematics & Statistics, Georgia State University, Atlanta, USA
| | - Mona Baroonian
- Department of Mathematics & Statistics, Georgia State University, Atlanta, USA
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22
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Veltri GA, Steinert JI, Sternberg H, Galizzi MM, Fasolo B, Kourtidis P, Büthe T, Gaskell G. Assessing the perceived effect of non-pharmaceutical interventions on SARS-Cov-2 transmission risk: an experimental study in Europe. Sci Rep 2024; 14:4857. [PMID: 38418636 PMCID: PMC10902314 DOI: 10.1038/s41598-024-55447-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 02/23/2024] [Indexed: 03/02/2024] Open
Abstract
We conduct a large (N = 6567) online experiment to measure the features of non-pharmaceutical interventions (NPIs) that citizens of six European countries perceive to lower the risk of transmission of SARS-Cov-2 the most. We collected data in Bulgaria (n = 1069), France (n = 1108), Poland (n = 1104), Italy (n = 1087), Spain (n = 1102) and Sweden (n = 1097). Based on the features of the most widely adopted public health guidelines to reduce SARS-Cov-2 transmission (mask wearing vs not, outdoor vs indoor contact, short vs 90 min meetings, few vs many people present, and physical distancing of 1 or 2 m), we conducted a discrete choice experiment (DCE) to estimate the public's perceived risk of SARS-CoV-2 transmission in scenarios that presented mutually exclusive constellations of these features. Our findings indicate that participants' perception of transmission risk was most influenced by the NPI attributes of mask-wearing and outdoor meetings and the least by NPI attributes that focus on physical distancing, meeting duration, and meeting size. Differentiating by country, gender, age, cognitive style (reflective or intuitive), and perceived freight of COVID-19 moreover allowed us to identify important differences between subgroups. Our findings highlight the importance of improving health policy communication and citizens' health literacy about the design of NPIs and the transmission risk of SARS-Cov-2 and potentially future viruses.
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Affiliation(s)
| | - Janina Isabel Steinert
- TUM School of Social Sciences and Technology & TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Henrike Sternberg
- TUM School of Social Sciences and Technology & TUM School of Management, Technical University of Munich, Munich, Germany
- Munich School of Politics and Public Policy & TUM School of Social Sciences and Technology & TUM School of Management, Technical University of Munich, Munich, Germany
| | - Matteo M Galizzi
- Department of Psychological and Behavioural Science and LSE Behavioural Lab, London School of Economics and Political Science, London, UK
| | - Barbara Fasolo
- Department of Management, London School of Economics and Political Science, London, UK
| | - Ploutarchos Kourtidis
- Department of Psychological and Behavioural Science and LSE Behavioural Lab, London School of Economics and Political Science, London, UK
| | - Tim Büthe
- TUM School of Social Sciences and Technology & TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- Sanford School of Public Policy, Duke University, Durham, USA
| | - George Gaskell
- Department of Psychological and Behavioural Science and LSE Behavioural Lab, London School of Economics and Political Science, London, UK
- Department of Methodology, London School of Economics and Political Science, London, UK
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23
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Waite LL, Nahhas A, Irvahn J, Garden G, Kerfonta CM, Killelea E, Ferng W, Cummins JJ, Mereness R, Austin T, Jones S, Olson N, Wilson M, Isaac B, Pepper CA, Koolhof IS, Armstrong J. COVID-19 passenger screening to reduce travel risk and translocation of disease. Epidemiol Infect 2024; 152:e36. [PMID: 38326275 PMCID: PMC10945944 DOI: 10.1017/s0950268824000220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 01/11/2024] [Accepted: 01/24/2024] [Indexed: 02/09/2024] Open
Abstract
Aviation passenger screening has been used worldwide to mitigate the translocation risk of SARS-CoV-2. We present a model that evaluates factors in screening strategies used in air travel and assess their relative sensitivity and importance in identifying infectious passengers. We use adapted Monte Carlo simulations to produce hypothetical disease timelines for the Omicron variant of SARS-CoV-2 for travelling passengers. Screening strategy factors assessed include having one or two RT-PCR and/or antigen tests prior to departure and/or post-arrival, and quarantine length and compliance upon arrival. One or more post-arrival tests and high quarantine compliance were the most important factors in reducing pathogen translocation. Screening that combines quarantine and post-arrival testing can shorten the length of quarantine for travelers, and variability and mean testing sensitivity in post-arrival RT-PCR and antigen tests decrease and increase with the greater time between the first and second post-arrival test, respectively. This study provides insight into the role various screening strategy factors have in preventing the translocation of infectious diseases and a flexible framework adaptable to other existing or emerging diseases. Such findings may help in public health policy and decision-making in present and future evidence-based practices for passenger screening and pandemic preparedness.
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Affiliation(s)
| | - Ahmad Nahhas
- The Boeing Company, Arlington, Virginia, United States
| | - Jan Irvahn
- The Boeing Company, Arlington, Virginia, United States
| | - Grace Garden
- The Boeing Company, Arlington, Virginia, United States
| | | | | | - William Ferng
- The Boeing Company, Arlington, Virginia, United States
| | | | | | - Thomas Austin
- The Boeing Company, Arlington, Virginia, United States
| | - Stephen Jones
- The Boeing Company, Arlington, Virginia, United States
| | - Nels Olson
- The Boeing Company, Arlington, Virginia, United States
| | - Mark Wilson
- The Boeing Company, Arlington, Virginia, United States
| | - Benson Isaac
- The Boeing Company, Arlington, Virginia, United States
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24
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Gao M, Xing X, Hao W, Zhang X, Zhong K, Lu C, Deng X, Yu L. Diverse immune responses in vaccinated individuals with and without symptoms after omicron exposure during the recent outbreak in Guangzhou, China. Heliyon 2024; 10:e24030. [PMID: 38293451 PMCID: PMC10827461 DOI: 10.1016/j.heliyon.2024.e24030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 12/17/2023] [Accepted: 01/02/2024] [Indexed: 02/01/2024] Open
Abstract
Objectives During the recent wave of coronavirus disease 2019 (COVID-19) infections in China, most individuals have been vaccinated and exposed to the omicron variant. In the present study, two cohorts were observed in the vaccinated population: vaccinated individuals with symptoms (VIWS) and those without symptoms (VIWOS). Our study aimed to characterize the antibody response in two cohorts: VIWS and VIWOS. Methods A questionnaire survey was conducted in the community. Blood and saliva samples were collected from 124 individuals in the VIWS and VIWOS cohorts. Capture enzyme-linked immunosorbent assay (ELISA) was performed to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) specific antibodies. Results The questionnaire survey revealed that 30.0 % (302/1005) of individuals in the older adult group (≥65 years) experienced no symptoms, whereas the rate of individuals without symptoms in the younger group (<65 years) was 17.8 % (166/932). Nucleocapsid (N)-specific IgM (N-IgM) was detected in the blood samples at a rate of 69.2 % (54/78) in the VIWS cohort. The positivity rate for N-specific IgA (N-IgA) was 93.6 % (73/78). In addition, the positivity rates of spike (S)-specific IgA (S-IgA) and N-IgA detected in saliva samples were 42 % (21/50) and 54 % (27/50), respectively. Both N-IgA positivity and negativity were observed in the VIWOS cohort. The detection rate of N-IgM positivity was 57.1 % (12/21) in the N-IgA-positive group. In addition, 54.3 % (25/46) of the vaccinated individuals without symptoms were IgA-negative. Conclusions Our study indicates that substantial N-specific antibodies were induced during omicron infection and that testing for N-IgA in both blood and saliva may aid in the diagnosis of SARS-CoV-2 infection in vaccinated populations.
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Affiliation(s)
- Ming Gao
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510060, China
| | - Xiaomin Xing
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510060, China
| | - Wenbiao Hao
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510060, China
| | - Xulei Zhang
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510060, China
| | - Kexin Zhong
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510060, China
| | - Canhui Lu
- Jiahe Community Health Service Center of Baiyun District, Guangzhou 510440, China
| | - Xilong Deng
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510060, China
| | - Lei Yu
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510060, China
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25
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Rabdano S, Ruzanova E, Makarov D, Vertyachikh A, Teplykh V, Rudakov G, Pletyukhina I, Saveliev N, Zakharov K, Alpenidze D, Vasilyuk V, Arakelov S, Skvortsova V. Safety and Immunogenicity of the Convacell ® Recombinant N Protein COVID-19 Vaccine. Vaccines (Basel) 2024; 12:100. [PMID: 38276672 PMCID: PMC10821050 DOI: 10.3390/vaccines12010100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 01/12/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024] Open
Abstract
We have developed Convacell®-a COVID-19 vaccine based on the recombinant nucleocapsid (N) protein of SARS-CoV-2. This paper details Convacell's® combined phase I/II and IIb randomized, double-blind, interventional clinical trials. The primary endpoints were the frequency of adverse effects (AEs) and the titers of specific anti-N IgGs induced by the vaccination; secondary endpoints included the nature of the immune response. Convacell® demonstrated high safety in phase I with no severe AEs detected, 100% seroconversion by day 42 and high and sustained for 350 days anti-N IgG levels in phase II. Convacell® also demonstrated a fused cellular and humoral immune response. Phase IIb results showed significant post-vaccination increases in circulating anti-N IgG and N protein-specific IFNγ+-producing PBMC quantities among 438 volunteers. Convacell® showed same level of immunological efficacy for single and double dose vaccination regimens, including for elderly patients. The clinical studies indicate that Convacell® is safe and highly immunogenic.
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Affiliation(s)
- Sevastyan Rabdano
- Saint Petersburg Scientific Research Institute of Vaccines and Serums of the Federal Medical-Biological Agency of Russia (SPbSRIVS), St. Petersburg 198320, Russia (I.P.)
| | - Ellina Ruzanova
- Saint Petersburg Scientific Research Institute of Vaccines and Serums of the Federal Medical-Biological Agency of Russia (SPbSRIVS), St. Petersburg 198320, Russia (I.P.)
| | - Denis Makarov
- Saint Petersburg Scientific Research Institute of Vaccines and Serums of the Federal Medical-Biological Agency of Russia (SPbSRIVS), St. Petersburg 198320, Russia (I.P.)
| | - Anastasiya Vertyachikh
- Saint Petersburg Scientific Research Institute of Vaccines and Serums of the Federal Medical-Biological Agency of Russia (SPbSRIVS), St. Petersburg 198320, Russia (I.P.)
| | - Valeriya Teplykh
- Saint Petersburg Scientific Research Institute of Vaccines and Serums of the Federal Medical-Biological Agency of Russia (SPbSRIVS), St. Petersburg 198320, Russia (I.P.)
| | - German Rudakov
- Saint Petersburg Scientific Research Institute of Vaccines and Serums of the Federal Medical-Biological Agency of Russia (SPbSRIVS), St. Petersburg 198320, Russia (I.P.)
| | - Iuliia Pletyukhina
- Saint Petersburg Scientific Research Institute of Vaccines and Serums of the Federal Medical-Biological Agency of Russia (SPbSRIVS), St. Petersburg 198320, Russia (I.P.)
| | - Nikita Saveliev
- Saint Petersburg Scientific Research Institute of Vaccines and Serums of the Federal Medical-Biological Agency of Russia (SPbSRIVS), St. Petersburg 198320, Russia (I.P.)
| | | | - Diana Alpenidze
- State Budgetary Health Institution “City Polyclinic No. 117”, St. Petersburg 194358, Russia
| | - Vasiliy Vasilyuk
- Department of Toxicology, Extreme and Diving Medicine, North-Western State Medical University named after I.I. Mechnikov, St. Petersburg 191015, Russia
| | - Sergei Arakelov
- Saint Petersburg Scientific Research Institute of Vaccines and Serums of the Federal Medical-Biological Agency of Russia (SPbSRIVS), St. Petersburg 198320, Russia (I.P.)
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von Bartheld CS, Wang L. An Explanation for Reports of Increased Prevalence of Olfactory Dysfunction With Omicron: Asymptomatic Infections. J Infect Dis 2024; 229:155-160. [PMID: 37697932 PMCID: PMC11032248 DOI: 10.1093/infdis/jiad394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 08/30/2023] [Accepted: 09/08/2023] [Indexed: 09/13/2023] Open
Abstract
The prevalence of olfactory dysfunction (OD) in people infected with the Omicron variant is substantially reduced compared with previous variants. However, 4 recent studies reported a greatly increased prevalence of OD with Omicron. We provide a likely explanation for these outlier studies and reveal a major methodological flaw. When the proportion of asymptomatic infections is large, studies on the prevalence of OD will examine and report predominantly on nonrepresentative cohorts, those with symptomatic subjects, thereby artificially inflating the prevalence of OD by up to 10-fold. Estimation of the true OD prevalence requires representative cohorts that include relevant fractions of asymptomatic cases.
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Affiliation(s)
- Christopher S von Bartheld
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, Nevada, USA
- Center of Biomedical Research Excellence in Cell Biology, University of Nevada, Reno School of Medicine, Reno, Nevada, USA
| | - Lingchen Wang
- School of Public Health, University of Nevada, Reno, Nevada, USA
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Nesteruk I. Trends of the COVID-19 dynamics in 2022 and 2023 vs. the population age, testing and vaccination levels. Front Big Data 2024; 6:1355080. [PMID: 38269394 PMCID: PMC10806249 DOI: 10.3389/fdata.2023.1355080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 12/27/2023] [Indexed: 01/26/2024] Open
Abstract
Introduction The population, governments, and researchers show much less interest in the COVID-19 pandemic. However, many questions still need to be answered: why the much less vaccinated African continent has accumulated 15 times less deaths per capita than Europe? or why in 2023 the global value of the case fatality risk is almost twice higher than in 2022 and the UK figure is four times higher than the global one? Methods The averaged daily numbers of cases DCC and death DDC per million, case fatality risks DDC/DCC were calculated for 34 countries and regions with the use of John Hopkins University (JHU) datasets. Possible linear and non-linear correlations with the averaged daily numbers of tests per thousand DTC, median age of population A, and percentages of vaccinations VC and boosters BC were investigated. Results Strong correlations between age and DCC and DDC values were revealed. One-year increment in the median age yielded 39.8 increase in DCC values and 0.0799 DDC increase in 2022 (in 2023 these figures are 5.8 and 0.0263, respectively). With decreasing of testing level DTC, the case fatality risk can increase drastically. DCC and DDC values increase with increasing the percentages of fully vaccinated people and boosters, which definitely increase for greater A. After removing the influence of age, no correlations between vaccinations and DCC and DDC values were revealed. Discussion The presented analysis demonstrates that age is a pivot factor of visible (registered) part of the COVID-19 pandemic dynamics. Much younger Africa has registered less numbers of cases and death per capita due to many unregistered asymptomatic patients. Of great concern is the fact that COVID-19 mortality in 2023 in the UK is still at least 4 times higher than the global value caused by seasonal flu.
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Affiliation(s)
- Igor Nesteruk
- Institute of Hydromechanics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
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Rohrhofer J, Hauser L, Lettenmaier L, Lutz L, Koidl L, Gentile SA, Ret D, Stingl M, Untersmayr E. Immunological Patient Stratification in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. J Clin Med 2024; 13:275. [PMID: 38202282 PMCID: PMC10779792 DOI: 10.3390/jcm13010275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 12/28/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024] Open
Abstract
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex disease characterized by profound fatigue, post-exertional malaise (PEM), and neurocognitive dysfunction. Immune dysregulation and gastrointestinal symptoms are commonly observed in ME/CFS patients. Despite affecting approximately 0.89% of the general population, the underlying pathophysiological mechanisms remain poorly understood. This study aimed to elucidate the relationship between immunological characteristics and intestinal barrier function in ME/CFS patients. ME/CFS patients were stratified into two groups based on their immune competence. After documentation of detailed medical records, serum and plasma samples were collected for the assessment of inflammatory immune mediators and biomarkers for intestinal barrier integrity by ELISA. We found reduced complement protein C4a levels in immunodeficient ME/CFS patients suggesting a subgroup-specific innate immune dysregulation. ME/CFS patients without immunodeficiencies exhibit a mucosal barrier leakage, as indicated by elevated levels of Lipopolysaccharide-binding protein (LBP). Stratifying ME/CFS patients based on immune competence enabled the distinction of two subgroups with different pathophysiological patterns. The study highlights the importance of emphasizing precise patient stratification in ME/CFS, particularly in the context of defining suitable treatment strategies. Given the substantial health and socioeconomic burden associated with ME/CFS, urgent attention and research efforts are needed to define causative treatment approaches.
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Affiliation(s)
- Johanna Rohrhofer
- Institute of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria; (J.R.); (L.K.); (S.A.G.); (D.R.)
| | - Lisa Hauser
- Institute of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria; (J.R.); (L.K.); (S.A.G.); (D.R.)
| | - Lisa Lettenmaier
- Institute of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria; (J.R.); (L.K.); (S.A.G.); (D.R.)
| | - Lena Lutz
- Institute of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria; (J.R.); (L.K.); (S.A.G.); (D.R.)
| | - Larissa Koidl
- Institute of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria; (J.R.); (L.K.); (S.A.G.); (D.R.)
| | - Salvatore Alessio Gentile
- Institute of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria; (J.R.); (L.K.); (S.A.G.); (D.R.)
| | - Davide Ret
- Institute of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria; (J.R.); (L.K.); (S.A.G.); (D.R.)
- Division of Macromolecular Chemistry, Institute of Applied Synthetic Chemistry, Vienna University of Technology, 1060 Vienna, Austria
| | | | - Eva Untersmayr
- Institute of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria; (J.R.); (L.K.); (S.A.G.); (D.R.)
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Jafari M, Jabrodini A, Pirouzi A, Meshkin A, Mohsenzadeh M. Comparative analysis of asymptomatic infection prevalence in Beta, Delta, and Omicron surges of COVID-19. Braz J Infect Dis 2024; 28:103724. [PMID: 38365183 PMCID: PMC10897804 DOI: 10.1016/j.bjid.2024.103724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 12/23/2023] [Accepted: 01/24/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has had a devastating impact on the global population, with an estimated 650 million people infected and more than 6.6 million lives lost. Asymptomatic individuals have been shown to play a significant role in the transmission of the virus. Therefore, this study aims to investigate and compare the prevalence of asymptomatic individuals across three waves associated with the Beta, Delta, and Omicron variants of the virus. METHODS This retrospective study was conducted between December 2020 and March 2022. The study population consisted of passengers on international flights who were referred to the Gerash Clinical and Molecular Diagnosis Laboratory. Real-time PCR was employed for the diagnosis of SARS-CoV-2. RESULTS Out of a total of 8592 foreign travelers referred to our laboratory, 139 (1.16 %) tested positive for SARS-CoV-2 infection and were asymptomatic. During the Beta surge, 35 (1.49 %) out of 2335 passengers tested positive for SARS-CoV-2. In the Delta surge, 31 (0.6 %) out of 5127 passengers tested positive. However, during the Omicron surge, a significantly higher number of passengers, specifically 73 (6.46 %) out of 1130, had a positive result for the SARS-CoV-2 test. CONCLUSION Considering the significant role of asymptomatic transmission in the spread of COVID-19, it is imperative to reconsider health policies when dealing with future surges of the Omicron subvariants. Additionally, we strongly recommend that the World Health Organization prioritize the development and distribution of second-generation vaccines that target not only disease but also infection prevention.
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Affiliation(s)
- Mohammad Jafari
- Cellular and Molecular Research Center, Gerash University of Medical Sciences, Gerash, Iran
| | - Ahmad Jabrodini
- Cellular and Molecular Research Center, Gerash University of Medical Sciences, Gerash, Iran
| | - Aliyar Pirouzi
- Cellular and Molecular Research Center, Gerash University of Medical Sciences, Gerash, Iran
| | - Ahmad Meshkin
- Education Development Center, Committee of Medical Education Development, Gerash University of Medical Sciences, Gerash, Iran
| | - Mehdi Mohsenzadeh
- Cellular and Molecular Research Center, Gerash University of Medical Sciences, Gerash, Iran.
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Joshi K, Scholz S, Maschio M, Kohli M, Lee A, Fust K, Ultsch B, Van de Velde N, Beck E. Clinical impact and cost-effectiveness of the updated COVID-19 mRNA Autumn 2023 vaccines in Germany. J Med Econ 2024; 27:39-50. [PMID: 38050685 DOI: 10.1080/13696998.2023.2290388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 11/29/2023] [Indexed: 12/06/2023]
Abstract
OBJECTIVES To assess the potential clinical impact and cost-effectiveness of coronavirus disease 2019 (COVID-19) mRNA vaccines updated for Autumn 2023 in adults aged ≥60 years and high-risk persons aged 30-59 years in Germany over a 1-year analytic time horizon (September 2023-August 2024). METHODS A compartmental Susceptible-Exposed-Infected-Recovered model was updated and adapted to the German market. Numbers of symptomatic infections, a number of COVID-19 related hospitalizations and deaths, costs, and quality-adjusted life-years (QALYs) gained were calculated using a decision tree model. The incremental cost-effectiveness ratio of an Autumn 2023 Moderna updated COVID-19 (mRNA-1273.815) vaccine was compared to no additional vaccination. Potential differences between the mRNA-1273.815 and the Autumn Pfizer-BioNTech updated COVID-19 (XBB.1.5 BNT162b2) vaccines, as well as societal return on investment for the mRNA-1273.815 vaccine relative to no vaccination, were also examined. RESULTS Compared to no autumn vaccination, the mRNA-1273.815 campaign is predicted to prevent approximately 1,697,900 symptomatic infections, 85,400 hospitalizations, and 4,100 deaths. Compared to an XBB.1.5 BNT162b2 campaign, the mRNA-1273.815 campaign is also predicted to prevent approximately 90,100 symptomatic infections, 3,500 hospitalizations, and 160 deaths. Across both analyses we found the mRNA-1273.815 campaign to be dominant. CONCLUSIONS The mRNA-1273.815 vaccine can be considered cost-effective relative to the XBB.1.5 BNT162b2 vaccine and highly likely to provide more benefits and save costs compared to no vaccine in Germany, and to offer high societal return on investment.
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Affiliation(s)
| | | | | | - Michele Kohli
- Quadrant Health Economics Inc, Cambridge, ON, Canada
| | - Amy Lee
- Quadrant Health Economics Inc, Cambridge, ON, Canada
| | - Kelly Fust
- Quadrant Health Economics Inc, Cambridge, ON, Canada
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Toa F, Williams W, Yapa C, Cornish M, Binihi M, van Gemert C. High SARS-CoV-2 attack rates in areas with low detection after community transmission established in Port Vila, Vanuatu, April 2022. Western Pac Surveill Response J 2024; 15:1-9. [PMID: 38500774 PMCID: PMC10944822 DOI: 10.5365/wpsar.2024.15.1.1078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024] Open
Abstract
Objective On 4 March 2022, the first community-acquired case of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was reported in Vanuatu, with community transmission occurring subsequently. It was expected that the number of notified SARS-CoV-2 cases would be an underestimate of the true infection rate of this outbreak; however, the magnitude of underreporting was unknown. The purpose of this study was to provide a population-based estimate of SARS-CoV-2 infection shortly after the first reports of community transmission, to understand the level of underdetection and undernotification in Vanuatu and thus to inform ongoing prevention and response activities. Methods We conducted a cross-sectional SARS-CoV-2 prevalence study in two geographical administrative areas in Port Vila, Vanuatu in April 2022. All residents in selected areas were eligible. Trained teams conducted demographic and behavioural interviews and collected nasal specimens. Specimens were tested by polymerase chain reaction. The primary outcomes were the rates of SARS-CoV-2 attack (point prevalence) and cumulative attack, underdetection, notification and household secondary attack. Results A total of 252 people from 84 households participated. Among 175 people who had a sample collected, 91 were SARS-CoV-2-positive (attack rate 52.0%). Most cases had not been detected before the study (underdetection rate 91.5%). More than half of previously detected cases were notified (notification rate 65.2%). Discussion Within the first few weeks of community transmission, more than half of participants in the selected areas had evidence of SARS-CoV-2 infection; however, most infections had been undetected. This study provides important information about the rapid spread of novel infectious diseases in Vanuatu.
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Affiliation(s)
- Florita Toa
- Vanuatu College of Nursing Education, Port Vila, Vanuatu
| | | | | | | | | | - Caroline van Gemert
- Vanuatu Health Program, Port Vila, Vanuatu
- Burnet Institute, Melbourne, Victoria, Australia
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Sandin R, Veenstra DL, Vankelegom M, Dzingina M, Sullivan SD, Campbell D, Ma C, Harrison C, Draica F, Wiemken TL, Mugwagwa T. Budget impact of oral nirmatrelvir/ritonavir in adults at high risk for progression to severe COVID-19 in the United States. J Manag Care Spec Pharm 2023; 29:1290-1302. [PMID: 38058141 PMCID: PMC10776264 DOI: 10.18553/jmcp.2023.29.12.1290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
BACKGROUND Nirmatrelvir/ritonavir (NMV/r) is indicated for the treatment of mild-to-moderate COVID-19 in adults who are at high risk for progression to severe COVID-19. NMV/r has also been authorized for emergency use by the US Food and Drug Administration for the treatment of mild-to-moderate COVID-19 in pediatric patients (aged 226512 years and weighing at least 40 kg) who are at high risk for progression to severe COVID-19. Understanding the budget impact of introducing NMV/r for the treatment of adults with COVID-19 is of key interest to US payers. OBJECTIVE To estimate the annual budget impact of introducing NMV/r in a US commercial health plan setting in the current Omicron COVID-19 era. METHODS A budget impact model was developed to assess the impact of NMV/r on health care costs in a hypothetical 1-million-member commercial health insurance plan over a 1-year period in the US population; clinical and cost inputs were derived from published literature with a focus on studies in the recent COVID-19 era that included vaccinated population and predominance of the Omicron variant. In the base-case analysis, it was assumed the only effect of NMV/r was a reduction in incidence (not severity) of hospitalization or death; its potential effect on post-COVID conditions was assessed in a scenario analysis. Outcomes included the number of hospitalizations, total cost, per patient per year (PPPY) costs, and per member per month (PMPM) costs. Sensitivity and scenario analyses were conducted to assess uncertainty around key model inputs. RESULTS An estimated 29,999 adults were eligible and sought treatment with oral antiviral for COVID-19 over 1 year. The availability of NMV/r was estimated to reduce the number of hospitalizations by 647 with a total budget impact of $2,733,745, $91 PPPY, and $0.23 PMPM. NMV/r was cost saving when including post-COVID conditions with a -$1,510,780 total budget impact, a PPPY cost of -$50, and a PMPM cost of -$0.13. Sensitivity analyses indicated results were most sensitive to the risk of hospitalization under supportive care, risk of hospitalization with NMV/r treatment and cost of NMV/r. CONCLUSIONS Treatment with NMV/r in the current COVID-19 era is estimated to result in substantial cost offsets because of reductions in hospitalization and modest budget impact to potential overall cost savings.
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Affiliation(s)
| | | | | | | | | | | | - Cuiying Ma
- Health Economics & Outcomes Research Ltd, Cardiff, Wales, UK
| | - Cale Harrison
- Health Economics & Outcomes Research Ltd, Cardiff, Wales, UK
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Liviero F, Volpin A, Furlan P, Battistella M, Broggio A, Fabris L, Favretto F, Mason P, Cocchio S, Cozzolino C, Baldo V, Moretto A, Scapellato ML. The impact of SARS-CoV-2 on healthcare workers of a large University Hospital in the Veneto Region: risk of infection and clinical presentation in relation to different pandemic phases and some relevant determinants. Front Public Health 2023; 11:1250911. [PMID: 38098828 PMCID: PMC10720910 DOI: 10.3389/fpubh.2023.1250911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 11/07/2023] [Indexed: 12/17/2023] Open
Abstract
Aim The aim of this study is to evaluate the incidence of SARS-CoV-2 infection and the prevalence of COVID-19-related symptoms in relation to pandemic phases and some relevant variables in a cohort of 8,029 HCWs from one of the largest Italian University Hospitals. Methods A single-center retrospective study was performed on data collected during SARS-CoV-2 infection surveillance of HCWs. Cox's multiple regression was performed to estimate hazard ratios of SARS-CoV-2 infection. Logistic multivariate regression was used to assess the risk of asymptomatic infections and the onset of the most frequent symptoms. All analyses were adjusted for sociodemographic and occupational factors, pandemic phases, vaccination status, and previous infections. Results A total of 3,760 HCWs resulted positive (2.0%-18.6% across five study phases). The total incidence rate of SARS-CoV-2 infection was 7.31 cases per 10,000 person-days, significantly lower in phase 1 and higher in phases 4 and 5, compared to phase 3. Younger HCWs, healthcare personnel, and unvaccinated subjects showed a higher risk of infection. Overall, 24.5% were asymptomatic infections, with a higher probability for men, physicians, and HCWs tested for screening, fully vaccinated, and those with previous infection. The clinical presentation changed over the phases in relation to vaccination status and the emergence of new variants. Conclusion The screening activities of HCWs allowed for the early detection of asymptomatic cases, limiting the epidemic clusters inside the hospital wards. SARS-CoV-2 vaccination reduced infections and symptomatic cases, demonstrating again its paramount value as a preventive tool for occupational and public health.
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Affiliation(s)
- Filippo Liviero
- Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
- Occupational Medicine Unit, University Hospital of Padova, Padova, Italy
| | - Anna Volpin
- Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
- Occupational Medicine Unit, University Hospital of Padova, Padova, Italy
| | - Patrizia Furlan
- Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Monica Battistella
- Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Alessia Broggio
- Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Laura Fabris
- Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Francesco Favretto
- Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Paola Mason
- Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
- Occupational Medicine Unit, University Hospital of Padova, Padova, Italy
| | - Silvia Cocchio
- Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
- Preventive Medicine and Risk Assessment Unit, University Hospital of Padova, Padova, Italy
| | - Claudia Cozzolino
- Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Vincenzo Baldo
- Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
- Preventive Medicine and Risk Assessment Unit, University Hospital of Padova, Padova, Italy
| | - Angelo Moretto
- Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
- Occupational Medicine Unit, University Hospital of Padova, Padova, Italy
| | - Maria Luisa Scapellato
- Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
- Occupational Medicine Unit, University Hospital of Padova, Padova, Italy
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Tsai JCH, Chang YY, Hsu CY, Chen HJ, Chan FT, Shi ZY. The Epidemiological Analysis of COVID-19 Outbreaks in Nursing Homes during the Period of Omicron Variant Predominance. Healthcare (Basel) 2023; 11:2868. [PMID: 37958011 PMCID: PMC10648883 DOI: 10.3390/healthcare11212868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 10/09/2023] [Accepted: 10/11/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND The main purpose of this study was to evaluate the epidemic trend and risk factors associated with COVID-19 outbreaks in nursing homes during the period of Omicron variant predominance. METHODS The study analyzed the risk factors associated with SARS-CoV-2 infection and death among the 327 residents and 129 healthcare workers (HCWs) in three hospital-affiliated nursing homes through a multivariate Cox regression model. RESULTS The rates of receiving a COVID-19 booster dose were 70.3% for the residents and 93.0% for the healthcare workers (HCWs), respectively. A number of asymptomatic individuals, including 54 (16.5%) residents and 15 (11.6%) HCWs, were detected through mass screening surveillance tests. The COVID-19 infection rates during the outbreaks were 41.6% among residents and 48.1% among HCWs, respectively. The case fatality rate among residents was 10.3%. None of the HCWs were hospitalized or died. The multivariate Cox regression model showed that the risk of COVID-19 infection increased in males (HR 2.46; 95% CI 1.47-4.11; p = 0.001), Barthel index ≥ 61 (HR 1.93; 95% CI 1.18-3.17; p = 0.009), and dementia (HR 1.61; 95% CI 1.14-2.27; p = 0.007). The risk of COVID-19 death increased with pneumonia (HR 11.03; 95% CI 3.02-40.31; p < 0.001), hospitalization (HR 7.18; 95% CI 1.97-26.25; p = 0.003), and admission to an intensive care unit (HR 8.67; 95% CI 2.79-26.89; p < 0.001). CONCLUSIONS This study highlighted the high infection rates with a substantial proportion of asymptomatic infections for both residents and HCWs, as well as a high case fatality rate for the residents among nursing homes during the Omicron epidemic period. We suggest implementing mass screening through regular surveillance testing as an effective strategy for early detection of COVID-19 and for preventing transmission during an epidemic period. Pneumonia is the primary risk associated with COVID-19 death. Early detection and prompt treatment of pneumonia for vulnerable residents in nursing homes are crucial to protect them from potential mortality.
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Affiliation(s)
- Jeffrey Che-Hung Tsai
- Department of Emergency Medicine, Taichung Veterans General Hospital, Puli Branch, Nantou 545402, Taiwan;
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- College of Medicine, National Chung Hsing University, Taichung 402202, Taiwan
| | - Ying-Ying Chang
- Nursing Department, Taichung Veterans General Hospital, Puli Branch, Nantou 545402, Taiwan
| | - Chiann-Yi Hsu
- Biostatistics Group, Department of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan
| | - Hui-Ju Chen
- Infection Control Team, Taichung Veterans General Hospital, Puli Branch, Nantou 545402, Taiwan
| | - Feng-Tse Chan
- Nursing Department, Taichung Veterans General Hospital, Puli Branch, Nantou 545402, Taiwan
| | - Zhi-Yuan Shi
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- College of Medicine, National Chung Hsing University, Taichung 402202, Taiwan
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Industrial Engineering & Enterprise Information, Tunghai University, Taichung 407224, Taiwan
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Mohammadi-Pilehdarboni H, Shenagari M. Regarding the article Causal effect of COVID-19 on Alzheimer's disease: A Mendelian randomization study by Baranova et al. J Med Virol 2023; 95:e29176. [PMID: 37849376 DOI: 10.1002/jmv.29176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/02/2023] [Accepted: 10/05/2023] [Indexed: 10/19/2023]
Affiliation(s)
- Hanieh Mohammadi-Pilehdarboni
- Queen Mary University of London, London, UK
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Mohammad Shenagari
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
- Department of Microbiology, Guilan University of Medical Sciences, Rasht, Iran
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Gonzaga A, Andreu E, Hernández-Blasco LM, Meseguer R, Al-Akioui-Sanz K, Soria-Juan B, Sanjuan-Gimenez JC, Ferreras C, Tejedo JR, Lopez-Lluch G, Goterris R, Maciá L, Sempere-Ortells JM, Hmadcha A, Borobia A, Vicario JL, Bonora A, Aguilar-Gallardo C, Poveda JL, Arbona C, Alenda C, Tarín F, Marco FM, Merino E, Jaime F, Ferreres J, Figueira JC, Cañada-Illana C, Querol S, Guerreiro M, Eguizabal C, Martín-Quirós A, Robles-Marhuenda Á, Pérez-Martínez A, Solano C, Soria B. Rationale for combined therapies in severe-to-critical COVID-19 patients. Front Immunol 2023; 14:1232472. [PMID: 37767093 PMCID: PMC10520558 DOI: 10.3389/fimmu.2023.1232472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 08/22/2023] [Indexed: 09/29/2023] Open
Abstract
An unprecedented global social and economic impact as well as a significant number of fatalities have been brought on by the coronavirus disease 2019 (COVID-19), produced by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Acute SARS-CoV-2 infection can, in certain situations, cause immunological abnormalities, leading to an anomalous innate and adaptive immune response. While most patients only experience mild symptoms and recover without the need for mechanical ventilation, a substantial percentage of those who are affected develop severe respiratory illness, which can be fatal. The absence of effective therapies when disease progresses to a very severe condition coupled with the incomplete understanding of COVID-19's pathogenesis triggers the need to develop innovative therapeutic approaches for patients at high risk of mortality. As a result, we investigate the potential contribution of promising combinatorial cell therapy to prevent death in critical patients.
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Affiliation(s)
- Aitor Gonzaga
- Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
- Institute of Bioengineering, Miguel Hernández University, Elche, Spain
| | - Etelvina Andreu
- Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
- Applied Physics Department, Miguel Hernández University, Elche, Spain
| | | | - Rut Meseguer
- Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
- Clinic University Hospital, Fundación para la Investigación del Hospital Clínico de la Comunidad Valenciana (INCLIVA) Health Research Institute, Valencia, Spain
| | - Karima Al-Akioui-Sanz
- Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
- Hospital La Paz Institute for Health Research, IdiPAZ, University Hospital La Paz, Madrid, Spain
| | - Bárbara Soria-Juan
- Réseau Hospitalier Neuchâtelois, Hôpital Pourtalès, Neuchâtel, Switzerland
| | | | - Cristina Ferreras
- Hospital La Paz Institute for Health Research, IdiPAZ, University Hospital La Paz, Madrid, Spain
| | - Juan R. Tejedo
- Department of Molecular Biology and Biochemical Engineering, University Pablo de Olavide, Seville, Spain
- Biomedical Research Network for Diabetes and Related Metabolic Diseases-Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) of the Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Guillermo Lopez-Lluch
- University Pablo de Olavide, Centro Andaluz de Biología del Desarrollo - Consejo Superior de Investigaciones Científicas (CABD-CSIC), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Sevilla, Spain
| | - Rosa Goterris
- Clinic University Hospital, Fundación para la Investigación del Hospital Clínico de la Comunidad Valenciana (INCLIVA) Health Research Institute, Valencia, Spain
| | - Loreto Maciá
- Nursing Department, University of Alicante, Alicante, Spain
| | - Jose M. Sempere-Ortells
- Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
- Biotechnology Department, University of Alicante, Alicante, Spain
| | - Abdelkrim Hmadcha
- Department of Molecular Biology and Biochemical Engineering, University Pablo de Olavide, Seville, Spain
- Biosanitary Research Institute (IIB-VIU), Valencian International University (VIU), Valencia, Spain
| | - Alberto Borobia
- Clinical Pharmacology Department, La Paz University Hospital, School of Medicine, Universidad Autónoma de Madrid, IdiPAz, Madrid, Spain
| | - Jose L. Vicario
- Transfusion Center of the Autonomous Community of Madrid, Madrid, Spain
| | - Ana Bonora
- Health Research Institute Hospital La Fe, Valencia, Spain
| | | | - Jose L. Poveda
- Health Research Institute Hospital La Fe, Valencia, Spain
| | - Cristina Arbona
- Valencian Community Blood Transfusion Center, Valencia, Spain
| | - Cristina Alenda
- Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
| | - Fabian Tarín
- Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
| | - Francisco M. Marco
- Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
- Immunology Department, Dr. Balmis General University Hospital, Alicante, Spain
| | - Esperanza Merino
- Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
- Department of Clinical Medicine, Miguel Hernández University, Elche, Spain
- Infectious Diseases Unit, Dr. Balmis General University Hospital, Alicante, Spain
| | - Francisco Jaime
- Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
| | - José Ferreres
- Intensive Care Service, Hospital Clinico Universitario, Fundación para la Investigación del Hospital Clínico de la Comunidad Valenciana (INCLIVA), Valencia, Spain
| | | | | | | | - Manuel Guerreiro
- Department of Hematology, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Cristina Eguizabal
- Research Unit, Basque Center for Blood Transfusion and Human Tissues, Galdakao, Spain
- Cell Therapy, Stem Cells and Tissues Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
| | | | | | - Antonio Pérez-Martínez
- Hospital La Paz Institute for Health Research, IdiPAZ, University Hospital La Paz, Madrid, Spain
- Department of Pediatrics, Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Carlos Solano
- Hematology Service, Hospital Clínico Universitario, Fundación para la Investigación del Hospital Clínico de la Comunidad Valenciana (INCLIVA), Valencia, Spain
| | - Bernat Soria
- Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
- Institute of Bioengineering, Miguel Hernández University, Elche, Spain
- Biomedical Research Network for Diabetes and Related Metabolic Diseases-Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) of the Carlos III Health Institute (ISCIII), Madrid, Spain
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Xie G, Wang L, Zhang J. How are countries responding differently to COVID-19: a systematic review of guidelines on isolation measures. Front Public Health 2023; 11:1190519. [PMID: 37719732 PMCID: PMC10502310 DOI: 10.3389/fpubh.2023.1190519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 08/08/2023] [Indexed: 09/19/2023] Open
Abstract
Introduction Isolation strategies have been implemented in numerous countries worldwide during the ongoing community transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, various countries and organizations have implemented their isolation measures at varying intensities, even during the same period. Therefore, we systematically reviewed the key information contained in currently available guidelines regarding the isolation of the general population, aiming to better identify the heterogeneity of the current isolation strategies. Methods We conducted searches in four evidence-based medicine (EBM) databases and five guideline websites to identify guidelines, guidance, protocols, and policy documents published by authoritative advisory bodies or healthcare organizations, which provided information on the implementation of isolation for general populations with COVID-19. One author extracted data using a standardized data extraction checklist, and a second author double-checked all extractions for completeness and correctness. Discrepancies were resolved through discussion. The information extracted from the included articles was summarized both narratively and using tables. Results We included 15 articles that provided information on isolation measures recommended by nine different countries and organizations. The included articles consistently recommended isolating individuals with a positive COVID-19 test, regardless of the presence of symptoms. However, there were variations in the duration of isolation, and substantial differences also existed in the criteria for ending the isolation of COVID-19 patients. Conclusion Different countries and organizations have substantial differences in their isolation policies. This reminds us that scientifically sound guidelines on isolation that balance the risk of prematurely ending isolation with the burden of prolonged isolation are a crucial topic of discussion when faced with a pandemic.
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Affiliation(s)
- Guangmei Xie
- Reproductive Medicine Center, Gansu Maternal and Child Health Care Hospital, Lanzhou, Gansu, China
- Reproductive Medicine Center, Gansu Provincial Central Hospital, Lanzhou, Gansu, China
| | - Li Wang
- Reproductive Medicine Center, Gansu Maternal and Child Health Care Hospital, Lanzhou, Gansu, China
- Reproductive Medicine Center, Gansu Provincial Central Hospital, Lanzhou, Gansu, China
| | - Jun Zhang
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
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Gim H, Lee S, Seo H, Park Y, Chun BC. Effects of Severe Acute Respiratory Syndrome Coronavirus Vaccination on Reinfection: A Community-Based Retrospective Cohort Study. Vaccines (Basel) 2023; 11:1408. [PMID: 37766086 PMCID: PMC10535171 DOI: 10.3390/vaccines11091408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/18/2023] [Accepted: 08/22/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) is a disease that is characterized by frequent reinfection. However, the factors influencing reinfection remain poorly elucidated, particularly regarding the effect of COVID-19 vaccination on preventing reinfection and its effects on symptomatology and the interval until reinfection. METHODS This retrospective cohort study examined patients with severe acute respiratory syndrome coronavirus reinfection between January 2020 and February 2022. This study included patients aged >17 years who were reinfected at least 90 days between two infections with severe acute respiratory syndrome coronavirus. The main outcome measure was a reduction in symptoms during reinfection, and reinfection interval. RESULTS Overall, 712 patients (average age: 40.52 ± 16.41 years; 312 males) were included. The reduction rate of symptoms at reinfection than that at first infection was significantly higher in the vaccinated group than in the unvaccinated group (p < 0.001). The average reinfection interval was 265.81 days. The interval between the first and second infection was 63.47 days longer in the vaccinated group than in the unvaccinated group. The interval was also 57.23 days, significantly longer in the asymptomatic group than in the symptomatic group (p < 0.001). CONCLUSIONS Besides its role in preventing severe acute respiratory syndrome coronavirus infection, vaccination reduces the rate of symptomatic reinfection and increases the reinfection interval; thus, it is necessary to be vaccinated even after a previous infection. The findings may inform the decision to avail COVID-19 vaccination.
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Affiliation(s)
- Hyerin Gim
- Infectious Disease Research Center, Citizens’ Health Bureau, Seoul Metropolitan Government, Seoul 04524, Republic of Korea; (H.G.); (S.L.); (H.S.)
- Department of Epidemiology & Health Informatics, Graduate School of Public Health, Korea University, Seoul 02841, Republic of Korea
| | - Seul Lee
- Infectious Disease Research Center, Citizens’ Health Bureau, Seoul Metropolitan Government, Seoul 04524, Republic of Korea; (H.G.); (S.L.); (H.S.)
| | - Haesook Seo
- Infectious Disease Research Center, Citizens’ Health Bureau, Seoul Metropolitan Government, Seoul 04524, Republic of Korea; (H.G.); (S.L.); (H.S.)
| | - Yumi Park
- Citizens’ Health Bureau, Seoul Metropolitan Government, Seoul 04524, Republic of Korea;
| | - Byung Chul Chun
- Department of Epidemiology & Health Informatics, Graduate School of Public Health, Korea University, Seoul 02841, Republic of Korea
- Department of Preventive Medicine, Korea University College of Medicine, Seoul 02841, Republic of Korea
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Cegolon L, Magnano G, Negro C, Larese Filon F. SARS-CoV-2 Reinfections in Health-Care Workers, 1 March 2020-31 January 2023. Viruses 2023; 15:1551. [PMID: 37515237 PMCID: PMC10384331 DOI: 10.3390/v15071551] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/05/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
Objective: To study SARS-CoV-2 reinfections in health-care workers (HCWs) of the University Health Agency Giuliano-Isontina (ASUGI), covering the provinces of Trieste and Gorizia (northeastern Italy) routinely screened for SARS-CoV-2 via nasopharyngeal swab. Design: Cohort study of HCWs (N = 8205) followed since the start of the pandemic (1 March 2020) through 31 January 2023. The risk of reinfection during the Omicron transmission period (after 30 November 2021) among HCWs previously infected by SARS-CoV-2 was estimated based on days since last dose of COVID-19 vaccine received, adjusting for age, sex, job task, workplace, number of doses of COVID-19 vaccines and number of swab tests performed. In the crude as well as adjusted incidence rate analysis, reinfections occurring 15+ days after a first dose of COVID-19 vaccine or 8+ days following a second or more dose were counted. Results: In a highly vaccinated population, during the entire study period (1 March 2020-31 January 2023) 5253 HCWs incurred at least one SARS-CoV-2 infection, 4262 HCWs were infected only once, and 1091 were reinfected. Reinfections almost entirely (99.1% = 1071/1091) occurred after 30 November 2021, peaking in July 2022 (N = 161). Six hundred eighty-three reinfections followed a pre-Omicron primary event against 408 reinfections following an Omicron event. Reinfections during the Omicron transmission period occurred a mean of 400 ± 220 days after primary SARS-CoV-2 infection; 512 ± 205 days following a pre-Omicron primary event, as opposed to 218 ± 74 days after an Omicron primary infection. Thirty-four hospitalizations were observed, all before the Omicron wave, following 18 (0.4%) primary SARS-CoV-2 infections and 16 (1.5%) reinfections. By excluding events occurring <15 days after a first dose or <8 days after a further dose of COVID-19 vaccine, 605 reinfections followed a pre-Omicron primary event (raw incidence = 1.4 × 1000 person-days) against 404 after a primary Omicron infection (raw incidence = 0.3 × 1000 person-days). Apart from nurse aids (slightly enhanced biological risk) and academic HCWs (remarkably lower risk with pre-Omicron primary events), the effect of occupation in terms of job task and workplace was marginal. Furthermore, whilst the risk of reinfection was lower in males and HCWs < 60 years old following a pre-Omicron primary infection, HCWs aged 30-50 were more likely to be infected after an Omicron primary event. Regardless of timeline of primary SARS-CoV-2 event, the risk of reinfection decreased with higher number of doses of COVID-19 vaccines, being lowest after the second booster. In particular, VE was 16% for one dose, 51% for two doses, 76% for the booster and 92% for the second booster with a pre-Omicron primary SARS-CoV-2 event. The latter figures increased to 72%, 59%, 74% and 93%, respectively, with Omicron primary infections. Conclusions: SARS-CoV-2 reinfections were frequent during the Omicron transmission period, though featured by mild or no symptoms. Whilst the impact of occupation on biological risk was relatively marginal, COVID-19 vaccination had the strongest protective effect against reinfection, with a 93% VE by second booster following an Omicron primary infection.
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Affiliation(s)
- Luca Cegolon
- Department of Medical, Surgical & Health Sciences, University of Trieste, 34129 Trieste, Italy
- Occupational Medicine Unit, University Health Agency Giuliano-Isontina (ASUGI), 34129 Trieste, Italy
| | - Greta Magnano
- Department of Medical, Surgical & Health Sciences, University of Trieste, 34129 Trieste, Italy
| | - Corrado Negro
- Department of Medical, Surgical & Health Sciences, University of Trieste, 34129 Trieste, Italy
- Occupational Medicine Unit, University Health Agency Giuliano-Isontina (ASUGI), 34129 Trieste, Italy
| | - Francesca Larese Filon
- Department of Medical, Surgical & Health Sciences, University of Trieste, 34129 Trieste, Italy
- Occupational Medicine Unit, University Health Agency Giuliano-Isontina (ASUGI), 34129 Trieste, Italy
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Hannawi S, Saf Eldin L, Abuquta A, Alamadi A, Mahmoud SA, Hassan A, Xu S, Li J, Liu D, Baidoo AAH, Ibrahim D, Alhaj M, Chen Y, Zhou Q, Xie L. Safety and immunogenicity of a tetravalent and bivalent SARS-CoV-2 protein booster vaccine in men. Nat Commun 2023; 14:4043. [PMID: 37422518 PMCID: PMC10329711 DOI: 10.1038/s41467-023-39766-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 06/28/2023] [Indexed: 07/10/2023] Open
Abstract
The safety and immunogenicity of a protein-based tetravalent vaccine SCTV01E that contains spike protein ectodomain (S-ECD) of Alpha, Beta, Delta and Omicron BA.1 are assessed and compared with bivalent protein vaccine SCTV01C (Alpha and Beta variants) and monovalent mRNA vaccine (NCT05323461). The primary endpoints are the geometric mean titers (GMT) of live virus neutralizing antibodies (nAb) to Delta (B.1.617.2) and Omicron BA.1 at day 28 post-injection. The secondary endpoints include the safety, day 180 GMTs against Delta and Omicron BA.1, day 28 GMTs to BA.5, and seroresponse rates of neutralizing antibodies and T cell responses at day 28 post-injection. 450 participants, comprising of 449 males and 1 female, with a median age (range) of 27 (18-62) years, are assigned to receive one booster dose of BNT162b2, 20 µg SCTV01C or 30 µg SCTV01E and completed 4-week follow-up. All SCTV01E related adverse events (AEs) are mild or moderate and no Grade ≥3 AE, serious AE or new safety concerns are identified. Day 28 GMT of live virus neutralizing antibodies and seroresponse against Omicron BA.1 and BA.5 with SCTV01E are significantly higher than those with SCTV01C and BNT162b2. These data indicate an overall neutralization superiority with tetravalent booster immunization in men.
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Affiliation(s)
- Suad Hannawi
- Internal Medicine Department, Al Kuwait-Dubai (ALBaraha) Hospital, Dubai, United Arab Emirates
| | - Linda Saf Eldin
- General Surgery Department, Al Kuwait-Dubai (ALBaraha) Hospital, Dubai, United Arab Emirates
| | - Alaa Abuquta
- Internal Medicine Department, Al Kuwait-Dubai (ALBaraha) Hospital, Dubai, United Arab Emirates
| | - Ahmad Alamadi
- Ear, Nose and Throat Department (ENT), Al Kuwait-Dubai (ALBaraha) Hospital, Dubai, United Arab Emirates
| | | | - Aala Hassan
- Internal Medicine Department, Al Kuwait-Dubai (ALBaraha) Hospital, Dubai, United Arab Emirates
| | - Shuping Xu
- Beijing Engineering Research Center of Protein and Antibody, Sinocelltech Ltd., Beijing, China
| | - Jian Li
- Beijing Engineering Research Center of Protein and Antibody, Sinocelltech Ltd., Beijing, China
| | - Dongfang Liu
- Beijing Engineering Research Center of Protein and Antibody, Sinocelltech Ltd., Beijing, China
| | | | - Dima Ibrahim
- Infectious Diseases Department, Burjeel Medical City, Abu Dhabi, United Arab Emirates
| | - Mojtaba Alhaj
- Research Department, Burjeel Medical City, Abu Dhabi, United Arab Emirates
| | - Yuanxin Chen
- Beijing Engineering Research Center of Protein and Antibody, Sinocelltech Ltd., Beijing, China
| | - Qiang Zhou
- Beijing Engineering Research Center of Protein and Antibody, Sinocelltech Ltd., Beijing, China
| | - Liangzhi Xie
- Beijing Engineering Research Center of Protein and Antibody, Sinocelltech Ltd., Beijing, China.
- Cell Culture Engineering Center, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
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Kitano T, Thompson DA, Engineer L, Dudley MZ, Salmon DA. Risk and Benefit of mRNA COVID-19 Vaccines for the Omicron Variant by Age, Sex, and Presence of Comorbidity: A Quality-Adjusted Life Years Analysis. Am J Epidemiol 2023; 192:1137-1147. [PMID: 36920222 DOI: 10.1093/aje/kwad058] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 02/07/2023] [Accepted: 03/10/2023] [Indexed: 03/16/2023] Open
Abstract
The development of the mutant omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the coronavirus disease 2019 (COVID-19) pandemic raised the importance of reevaluating the risk and benefit of COVID-19 vaccines. With a decision tree model, we calculated the benefit-risk ratio and the benefit-risk difference of receiving monovalent messenger RNA (mRNA) COVID-19 vaccine (primary 2 doses, a third dose, and a fourth dose) in the 4-5 months after vaccination using quality-adjusted life years. The analysis was stratified by age, sex, and the presence of comorbidity. Evidence from peer-reviewed publications and gray literature was reviewed on September 16, 2022, to inform the study. Benefit-risk ratios for receipt of the BNT162b2 vaccine (Pfizer-BioNTech) ranged from 6.8 for males aged 12-17 years without comorbidity for the primary doses to 221.3 for females aged ≥65 years with comorbidity for the third dose. The benefit-risk ratios for receipt of the mRNA-1273 vaccine (Moderna) ranged from 7.2 for males aged 18-29 years without comorbidity for the primary doses to 101.4 for females aged ≥65 years with comorbidity for the third dose. In all scenarios of the one-way sensitivity analysis, the benefit-risk ratios were more than 1, irrespective of age, sex, comorbidity status, and type of vaccine, for both primary and booster doses. The benefits of mRNA COVID-19 vaccines in protecting against the omicron variant outweigh the risks, irrespective of age, sex, and comorbidity.
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Dabke DV, Karntikoon K, Aluru C, Singh M, Chazelle B. Network-augmented compartmental models to track asymptomatic disease spread. BIOINFORMATICS ADVANCES 2023; 3:vbad082. [PMID: 37476534 PMCID: PMC10354004 DOI: 10.1093/bioadv/vbad082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 06/20/2023] [Accepted: 07/01/2023] [Indexed: 07/22/2023]
Abstract
Summary A major challenge in understanding the spread of certain newly emerging viruses is the presence of asymptomatic cases. Their prevalence is hard to measure in the absence of testing tools, and yet the information is critical for tracking disease spread and shaping public health policies. Here, we introduce a framework that combines classic compartmental models with travel networks and we use it to estimate asymptomatic rates. Our platform, traSIR ("tracer"), is an augmented susceptible-infectious-recovered (SIR) model that incorporates multiple locations and the flow of people between them; it has a compartment model for each location and estimates of commuting traffic between compartments. TraSIR models both asymptomatic and symptomatic infections, as well as the dampening effect symptomatic infections have on traffic between locations. We derive analytical formulae to express the asymptomatic rate as a function of other key model parameters. Next, we use simulations to show that empirical data fitting yields excellent agreement with actual asymptomatic rates using only information about the number of symptomatic infections over time and compartments. Finally, we apply our model to COVID-19 data consisting of reported daily infections in the New York metropolitan area and estimate asymptomatic rates of COVID-19 to be ∼34%, which is within the 30-40% interval derived from widespread testing. Overall, our work demonstrates that traSIR is a powerful approach to express viral propagation dynamics over geographical networks and estimate key parameters relevant to virus transmission. Availability and implementation No public repository.
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Affiliation(s)
| | | | - Chaitanya Aluru
- Department of Computer Science, Princeton University, Princeton, NJ 08544, USA
| | - Mona Singh
- Department of Computer Science, Princeton University, Princeton, NJ 08544, USA
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Cheong HH, Sio FI, Chan CC, Neng SI, Sam IP, Cheang T, Tou WI, Lei HS, Cheong TF, Lao EPL, Cheong TH, Kuok CU, Lo IL. Clinical characteristics of COVID-19 patients infected by the Omicron variants in Macao, China: A cross-sectional study. Health Sci Rep 2023; 6:e1361. [PMID: 37404450 PMCID: PMC10316466 DOI: 10.1002/hsr2.1361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 05/26/2023] [Accepted: 06/07/2023] [Indexed: 07/06/2023] Open
Abstract
Background and Aims The evolving mutants of SARS-CoV-2 have made the COVID-19 pandemic sustained for over 3 years. In 2022, BA.4 and BA.5 were the Omicron variants dominating the spread globally. Although COVID-19 was no longer a Public Health Emergency of International Concern (PHEIC) as announced by WHO, the SARS-CoV-2 variants remain a challenge to global healthcare under the circumstances of withdrawal and loosening of personal protective behavior in the post-quarantine era. This study aims to acknowledge the clinical characteristics caused by Omicron BA.4/BA.5 in COVID-19 naive people and analyze possible factors affecting disease severities. Methods In this retrospective study, we report and analyze the clinical features of 1820 COVID-19 patients infected with the BA.4/BA.5 Omicron variants of SARS-CoV-2 during a local outbreak that occurred in Macao SAR, China, from June to July 2022. Results A total of 83.5% of patients were symptomatic eventually. The most common symptoms were fever, cough, and sore throat. Hypertension, dyslipidemia, and diabetes mellitus were the leading comorbidities. There were significantly more elderly patients (p < 0.001), more patients with comorbidity (p < 0.001) and more patients without vaccination or not completing the series (p < 0.001) in the "Severe to Critical" group. All deceased patients were elderly with at least three comorbidities and were partial to totally dependent in their daily lives. Conclusion Our data are consistent with a milder disease caused by BA.4/5 Omicron variants in the general population, while patients with old age and comorbidities have developed severe to critical diseases. Complete vaccination series and booster doses are effective strategies to reinforce protection against severe diseases and avoid mortality.
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Zhao S, Luo K, Guo Y, Fang M, Sun Q, Dai Z, Yang H, Zhan Z, Hu S, Chen T, Li X. Analysis of Factors Influencing the Clinical Severity of Omicron and Delta Variants. Trop Med Infect Dis 2023; 8:330. [PMID: 37368748 DOI: 10.3390/tropicalmed8060330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 05/30/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
The Omicron variant is the dominant strain circulating globally, and studies have shown that Omicron cases have milder symptoms than Delta cases. This study aimed to analyze the factors that affect the clinical severity of Omicron and Delta variants, evaluate and compare the effectiveness of COVID-19 vaccines with different technological platforms, and assess the vaccine effectiveness against different variants. We retrospectively collected the basic information of all local COVID-19 cases reported by Hunan Province to the National Notifiable Infectious Disease Reporting System from January 2021 to February 2023, including gender, age, clinical severity, and COVID-19 vaccination history. From 1 January 2021 to 28 February 2023, Hunan Province reported a total of 60,668 local COVID-19 cases, of which, 134 were infected with the Delta variant and 60,534 were infected with the Omicron variant. The results showed that infection with the Omicron variant (adjusted OR (aOR): 0.21, 95% CI: 0.14-0.31), getting vaccinated (booster immunization vs. unvaccinated aOR: 0.30, 95% CI: 0.23-0.39) and being female (aOR: 0.82, 95% CI: 0.79-0.85) were protective factors for pneumonia, while old age (≥60 years vs. <3 years aOR: 4.58, 95% CI: 3.36-6.22) was a risk factor for pneumonia. Being vaccinated (booster immunization vs. unvaccinated aOR: 0.11, 95% CI: 0.09-0.15) and female (aOR: 0.54, 95% CI: 0.50-0.59) were protective factors for severe cases, while older age (≥60 years vs. < 3 years aOR: 4.95, 95% CI: 1.83-13.39) was a risk factor for severe cases. The three types of vaccines had protective effects on both pneumonia and severe cases, and the protective effect on severe cases was better than that on pneumonia. The recombinant subunit vaccine booster immunization had the best protective effect on pneumonia and severe cases, with ORs of 0.29 (95% CI: 0.2-0.44) and 0.06 (95% CI: 0.02-0.17), respectively. The risk of pneumonia from Omicron variant infection was lower than that from Delta. Chinese-produced vaccines had protective effects on both pneumonia and severe cases, with recombinant subunit vaccines having the best protective effect on pneumonia and severe pneumonia cases. Booster immunization should be advocated in COVID-19 pandemic-related control and prevention policies, especially for the elderly, and booster immunization should be accelerated.
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Affiliation(s)
- Shanlu Zhao
- Hunan Provincial Center for Disease Control and Prevention (Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences), Changsha 410005, China
| | - Kaiwei Luo
- Hunan Provincial Center for Disease Control and Prevention (Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences), Changsha 410005, China
| | - Yichao Guo
- School of Public Health, Xiamen University, Xiamen 361102, China
| | - Mingli Fang
- Hunan Provincial Center for Disease Control and Prevention (Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences), Changsha 410005, China
| | - Qianlai Sun
- Hunan Provincial Center for Disease Control and Prevention (Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences), Changsha 410005, China
| | - Zhihui Dai
- Hunan Provincial Center for Disease Control and Prevention (Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences), Changsha 410005, China
| | - Hao Yang
- Hunan Provincial Center for Disease Control and Prevention (Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences), Changsha 410005, China
| | - Zhifei Zhan
- Hunan Provincial Center for Disease Control and Prevention (Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences), Changsha 410005, China
| | - Shixiong Hu
- Hunan Provincial Center for Disease Control and Prevention (Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences), Changsha 410005, China
| | - Tianmu Chen
- School of Public Health, Xiamen University, Xiamen 361102, China
| | - Xiaojun Li
- Hunan Provincial Center for Disease Control and Prevention (Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences), Changsha 410005, China
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Shrestha NK, Burke PC, Nowacki AS, Simon JF, Hagen A, Gordon SM. Effectiveness of the Coronavirus Disease 2019 Bivalent Vaccine. Open Forum Infect Dis 2023; 10:ofad209. [PMID: 37274183 PMCID: PMC10234376 DOI: 10.1093/ofid/ofad209] [Citation(s) in RCA: 39] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 04/17/2023] [Indexed: 06/06/2023] Open
Abstract
Background The purpose of this study was to evaluate whether a bivalent coronavirus disease 2019 (COVID-19) vaccine protects against COVID-19. Methods The study included employees of Cleveland Clinic in employment when the bivalent COVID-19 vaccine first became available. Cumulative incidence of COVID-19 over the following 26 weeks was examined. Protection provided by vaccination (analyzed as a time-dependent covariate) was evaluated using Cox proportional hazards regression, with change in dominant circulating lineages over time accounted for by time-dependent coefficients. The analysis was adjusted for the pandemic phase when the last prior COVID-19 episode occurred and the number of prior vaccine doses. Results Among 51 017 employees, COVID-19 occurred in 4424 (8.7%) during the study. In multivariable analysis, the bivalent-vaccinated state was associated with lower risk of COVID-19 during the BA.4/5-dominant (hazard ratio, 0.71 [95% confidence interval, .63-79]) and the BQ-dominant (0.80 [.69-.94]) phases, but decreased risk was not found during the XBB-dominant phase (0.96 [.82-.1.12]). The estimated vaccine effectiveness was 29% (95% confidence interval, 21%-37%), 20% (6%-31%), and 4% (-12% to 18%), during the BA.4/5-, BQ-, and XBB-dominant phases, respectively. The risk of COVID-19 also increased with time since the most recent prior COVID-19 episode and with the number of vaccine doses previously received. Conclusions The bivalent COVID-19 vaccine given to working-aged adults afforded modest protection overall against COVID-19 while the BA.4/5 lineages were the dominant circulating strains, afforded less protection when the BQ lineages were dominant, and effectiveness was not demonstrated when the XBB lineages were dominant.
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Affiliation(s)
- Nabin K Shrestha
- Correspondence: Nabin K. Shrestha, MD, MPH, Department of Infectious Diseases, Cleveland Clinic, 9500 Euclid Ave/G-21, Cleveland, OH 44195 (); Steven M. Gordon, MD, Department of Infectious Diseases, Cleveland Clinic, 9500 Euclid Ave/G-21, Cleveland, OH 44195 ()
| | - Patrick C Burke
- Infection Prevention, Cleveland Clinic, Cleveland, Ohio, USA
| | - Amy S Nowacki
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - James F Simon
- Enterprise Business Intelligence, Cleveland Clinic, Cleveland, Ohio, USA
| | - Amanda Hagen
- Occupational Health, Cleveland Clinic, Cleveland, Ohio, USA
| | - Steven M Gordon
- Correspondence: Nabin K. Shrestha, MD, MPH, Department of Infectious Diseases, Cleveland Clinic, 9500 Euclid Ave/G-21, Cleveland, OH 44195 (); Steven M. Gordon, MD, Department of Infectious Diseases, Cleveland Clinic, 9500 Euclid Ave/G-21, Cleveland, OH 44195 ()
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Wojczyk M, Niewiadomska E, Kowalska M. The Incidence Proportion of SARS-CoV-2 Infections and the Percentage of Deaths among Infected Healthcare Workers in Poland. J Clin Med 2023; 12:jcm12113714. [PMID: 37297910 DOI: 10.3390/jcm12113714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/25/2023] [Accepted: 05/26/2023] [Indexed: 06/12/2023] Open
Abstract
(1) Background: The incidence proportion of SARS-CoV-2 infection among healthcare workers (HCWs) in Poland is not exactly known. This study aims to present secondary epidemiological data identifying the scale of the spread of novel coronavirus infection and the estimation of vaccination coverage in selected professional groups of HCWs in Poland. (2) Methods: The secondary epidemiological data included both the number of infections and infection fatality rate (IFR) in individual occupational groups, which occurred throughout the observation period (January 2021-July 2022), both in the country and in individual voivodeship (administrative area). (3) Results: The incidence proportion of SARS-CoV-2 infections among HCWs was 16.48%. The highest percentage of infected workers concerned laboratory scientists (21.62%) and paramedics (18%). The highest frequency of infections among HCWs occurred in the province of Zachodnio-Pomorskie (18.9%). Due to COVID-19, 558 healthcare workers died during the analysed period, mostly nurses (n = 236) and doctors (n = 200). The results regarding the vaccination coverage of HCWs against COVID-19 indicate the highest percentage of vaccinated were among doctors (83.63%) and the lowest among physiotherapists (38.2%). (4) Conclusions: In general, the percentage of infections was high in Poland during the pandemic (16.48%). Significant territorial differences were observed in the frequency of infections, deaths, and percentage of vaccinated workers in individual voivodeships.
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Affiliation(s)
- Marek Wojczyk
- Doctoral School, Medical University of Silesia, 40-055 Katowice, Poland
| | - Ewa Niewiadomska
- Department of Epidemiology and Biostatistics, Faculty of Health Science, Medical University of Silesia, 41-902 Bytom, Poland
| | - Małgorzata Kowalska
- Department of Epidemiology, Faculty of Medical Science, Medical University of Silesia, 40-055 Katowice, Poland
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Doron S, Monach PA, Brown CM, Branch-Elliman W. Improving COVID-19 Disease Severity Surveillance Measures: Statewide Implementation Experience. Ann Intern Med 2023. [PMID: 37186921 DOI: 10.7326/m23-0618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/17/2023] Open
Abstract
Measurement of the burden of COVID-19 on U.S. hospitals has been an important element of the public health response to the pandemic. However, because of variation in testing density and policies, the metric is not standardized across facilities. Two types of burdens exist, one related to the infection control measures that patients who test positive for SARS-CoV-2 require and one from the care of severely ill patients receiving treatment of COVID-19. With rising population immunity from vaccination and infection, as well as the availability of therapeutics, severity of illness has declined. Prior research showed that dexamethasone administration was highly correlated with other disease severity metrics and sensitive to the changing epidemiology associated with the emergence of immune-evasive variants. On 10 January 2022, the Massachusetts Department of Public Health began requiring hospitals to expand surveillance to include reports of both the total number of "COVID-19 hospitalizations" daily and the number of inpatients who received dexamethasone at any point during their hospital stay. All 68 acute care hospitals in Massachusetts submitted COVID-19 hospitalization and dexamethasone data daily to the Massachusetts Department of Public Health over a 1-year period. A total of 44 196 COVID-19 hospitalizations were recorded during 10 January 2022 to 9 January 2023, of which 34% were associated with dexamethasone administration. The proportion of patients hospitalized with COVID-19 who had received dexamethasone was 49.6% during the first month of surveillance and decreased to a monthly average of approximately 33% by April 2022, where it has remained since (range, 28.7% to 33%). Adding a single data element to mandated reporting to estimate the frequency of severe COVID-19 in hospitalized patients was feasible and provided actionable information for health authorities and policy makers. Updates to surveillance methods are necessary to match data collection with public health response needs.
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Affiliation(s)
- Shira Doron
- Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, Massachusetts (S.D.)
| | - Paul A Monach
- Rheumatology Section, Veterans Affairs Boston Healthcare System, and Harvard Medical School, Boston, Massachusetts (P.A.M.)
| | - Catherine M Brown
- Massachusetts Department of Public Health, Boston, Massachusetts (C.M.B.)
| | - Westyn Branch-Elliman
- Harvard Medical School; Department of Medicine, Veterans Affairs Boston Healthcare System; and Veterans Affairs Boston Center for Healthcare Organization and Implementation Research (CHOIR), Boston, Massachusetts (W.B.)
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48
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Shen J, Fan J, Zhao Y, Jiang D, Niu Z, Zhang Z, Cao G. Innate and adaptive immunity to SARS-CoV-2 and predisposing factors. Front Immunol 2023; 14:1159326. [PMID: 37228604 PMCID: PMC10203583 DOI: 10.3389/fimmu.2023.1159326] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 04/27/2023] [Indexed: 05/27/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2), has affected all countries worldwide. Although some symptoms are relatively mild, others are still associated with severe and even fatal clinical outcomes. Innate and adaptive immunity are important for the control of SARS-CoV-2 infections, whereas a comprehensive characterization of the innate and adaptive immune response to COVID-19 is still lacking and the mechanisms underlying immune pathogenesis and host predisposing factors are still a matter of scientific debate. Here, the specific functions and kinetics of innate and adaptive immunity involved in SARS-CoV-2 recognition and resultant pathogenesis are discussed, as well as their immune memory for vaccinations, viral-mediated immune evasion, and the current and future immunotherapeutic agents. We also highlight host factors that contribute to infection, which may deepen the understanding of viral pathogenesis and help identify targeted therapies that attenuate severe disease and infection.
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Affiliation(s)
- Jiaying Shen
- Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Junyan Fan
- Department of Epidemiology, Shanghai Key Laboratory of Medical Bioprotection, Key Laboratory of Biological Defense, Ministry of Education, Second Military Medical University, Shanghai, China
| | - Yue Zhao
- Department of Epidemiology, Shanghai Key Laboratory of Medical Bioprotection, Key Laboratory of Biological Defense, Ministry of Education, Second Military Medical University, Shanghai, China
| | - Doming Jiang
- Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Zheyun Niu
- Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Zihan Zhang
- Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Guangwen Cao
- Tongji University School of Medicine, Tongji University, Shanghai, China
- Department of Epidemiology, Shanghai Key Laboratory of Medical Bioprotection, Key Laboratory of Biological Defense, Ministry of Education, Second Military Medical University, Shanghai, China
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Li H, Zhang H. Cost-effectiveness analysis of COVID-19 screening strategy under China's dynamic zero-case policy. Front Public Health 2023; 11:1099116. [PMID: 37228729 PMCID: PMC10203195 DOI: 10.3389/fpubh.2023.1099116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 04/17/2023] [Indexed: 05/27/2023] Open
Abstract
This study aims to optimize the COVID-19 screening strategies under China's dynamic zero-case policy through cost-effectiveness analysis. A total of 9 screening strategies with different screening frequencies and combinations of detection methods were designed. A stochastic agent-based model was used to simulate the progress of the COVID-19 outbreak in scenario I (close contacts were promptly quarantined) and scenario II (close contacts were not promptly quarantined). The primary outcomes included the number of infections, number of close contacts, number of deaths, the duration of the epidemic, and duration of movement restriction. Net monetary benefit (NMB) and the incremental cost-benefit ratio were used to compare the cost-effectiveness of different screening strategies. The results indicated that under China's COVID-19 dynamic zero-case policy, high-frequency screening can help contain the spread of the epidemic, reduce the size and burden of the epidemic, and is cost-effective. Mass antigen testing is not cost-effective compared with mass nucleic acid testing in the same screening frequency. It would be more cost-effective to use AT as a supplemental screening tool when NAT capacity is insufficient or when outbreaks are spreading very rapidly.
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Affiliation(s)
- Haonan Li
- School of Medical Business, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
- Guangdong Health Economics and Health Promotion Research Center, Guangzhou, Guangdong, China
| | - Hui Zhang
- School of Medical Business, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
- Guangdong Health Economics and Health Promotion Research Center, Guangzhou, Guangdong, China
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Wu Y, Pan Y, Su K, Zhang Y, Jia Z, Yi J, Lv H, Zhang L, Xue M, Cao D, Jiang J. Elder and booster vaccination associates with decreased risk of serious clinical outcomes in comparison of Omicron and Delta variant: A meta-analysis of SARS-CoV-2 infection. Front Microbiol 2023; 14:1051104. [PMID: 37125157 PMCID: PMC10140352 DOI: 10.3389/fmicb.2023.1051104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 03/23/2023] [Indexed: 05/02/2023] Open
Abstract
Background The COVID-19 pandemic brings great pressure to the public health systems. This meta-analysis aimed to compare the clinical outcomes among different virus variants, to clarify their impact on medical resources and to provide evidence for the formulation of epidemic prevention policies. Methods A systematic literature search was performed in the PubMed, Embase, and Cochrane Library databases using the key words "Omicron" and "Delta." The adjusted Risk ratios (RRs), Odds ratios (ORs) and Hazard ratios (HRs) were extracted, and RRs and Rate difference % (RD%) were used to interpret the risk estimates of the outcomes ultimately. Results Forty-three studies were included, with 3,812,681 and 14,926,841 individuals infected with SARS-CoV-2 Delta and Omicron variant, respectively. The relative risks of hospitalization, death, ICU admission, and mechanical ventilation use after infection with the Omicron variant were all significantly reduced compared those after infection with the Delta variant (RRhospitalization = 0.45, 95%CI: 0.40-0.52; RRdeath = 0.37, 95%CI: 0.30-0.45; RRICU = 0.35, 95%CI: 0.29-0.42; RRmechanical ventilation = 0.33, 95%CI: 0.25-0.44). The change of both absolute and relative risks for hospitalization was more evident (RR = 0.47, 95%CI: 0.42-0.53;RD% =10.61, 95%CI: 8.64-12.59) and a significant increase was observed for the absolute differences in death in the elderly (RD% = 5.60, 95CI%: 4.65-6.55); the change of the absolute differences in the risk of hospitalization and death were most markedly observed in the patients with booster vaccination (RD%hospitalization = 8.60, 95CI%: 5.95-11.24; RD%death = 3.70, 95CI%: 0.34-7.06). Conclusion The ability of the Omicron variant to cause severe clinical events has decreased significantly, as compared with the Delta variant, but vulnerable populations still need to be vigilant. There was no interaction between the vaccination doses and different variants.
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Affiliation(s)
- Yanhua Wu
- Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, China
- Department of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, China
| | - Yuchen Pan
- Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, China
- Department of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, China
| | - Kaisheng Su
- Department of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, China
| | - Yangyu Zhang
- Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, China
- Department of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, China
| | - Zhifang Jia
- Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, China
- Department of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, China
| | - Jiaxin Yi
- Department of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, China
| | - Haiyong Lv
- Department of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, China
| | - Lihuan Zhang
- The Second Hospital of Jilin University, Changchun, China
| | - Mingyang Xue
- School of Public Health, Jilin University, Changchun, China
| | - Donghui Cao
- Department of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, China
| | - Jing Jiang
- Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, China
- Department of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, China
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