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Nham E, Noh JY, Park O, Choi WS, Song JY, Cheong HJ, Kim WJ. COVID-19 Vaccination Strategies in the Endemic Period: Lessons from Influenza. Vaccines (Basel) 2024; 12:514. [PMID: 38793765 PMCID: PMC11125835 DOI: 10.3390/vaccines12050514] [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: 03/29/2024] [Revised: 05/02/2024] [Accepted: 05/06/2024] [Indexed: 05/26/2024] Open
Abstract
Coronavirus disease 2019 (COVID-19) is a highly contagious zoonotic respiratory disease with many similarities to influenza. Effective vaccines are available for both; however, rapid viral evolution and waning immunity make them virtually impossible to eradicate with vaccines. Thus, the practical goal of vaccination is to reduce the incidence of serious illnesses and death. Three years after the introduction of COVID-19 vaccines, the optimal vaccination strategy in the endemic period remains elusive, and health authorities worldwide have begun to adopt various approaches. Herein, we propose a COVID-19 vaccination strategy based on the data available until early 2024 and discuss aspects that require further clarification for better decision making. Drawing from comparisons between COVID-19 and influenza vaccination strategies, our proposed COVID-19 vaccination strategy prioritizes high-risk groups, emphasizes seasonal administration aligned with influenza vaccination campaigns, and advocates the co-administration with influenza vaccines to increase coverage.
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Affiliation(s)
- Eliel Nham
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
| | - Ji Yun Noh
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
| | - Ok Park
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
| | - Won Suk Choi
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
| | - Joon Young Song
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
| | - Hee Jin Cheong
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
| | - Woo Joo Kim
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
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Kavikondala S, Haeussler K, Wang X, Bausch-Jurken MT, Nassim M, Mishra NK, Malmenäs M, Sharma P, Van de Velde N, Green N, Beck E. Comparative Effectiveness of mRNA-1273 and BNT162b2 COVID-19 Vaccines Among Older Adults: Systematic Literature Review and Meta-Analysis Using the GRADE Framework. Infect Dis Ther 2024; 13:779-811. [PMID: 38498109 PMCID: PMC11058186 DOI: 10.1007/s40121-024-00936-z] [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: 12/01/2023] [Accepted: 01/30/2024] [Indexed: 03/20/2024] Open
Abstract
INTRODUCTION The mRNA vaccines mRNA-1273 and BNT162b2 demonstrated high efficacy against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in phase 3 clinical trials, including among older adults. To inform coronavirus disease 2019 (COVID-19) vaccine selection, this systematic literature review (SLR) and meta-analysis assessed the comparative effectiveness of mRNA-1273 versus BNT162b2 in older adults. METHODS We systematically searched for relevant studies reporting COVID-19 outcomes with mRNA vaccines in older adults aged ≥ 50 years by first cross-checking relevant published SLRs. Based on the cutoff date from a previous similar SLR, we then searched the WHO COVID-19 Research Database for relevant articles published between April 9, 2022, and June 2, 2023. Outcomes of interest were SARS-CoV-2 infection, symptomatic SARS-CoV-2 infection, severe SARS-CoV-2 infection, COVID-19-related hospitalization, and COVID-19-related death following ≥ 2 vaccine doses. Random effects meta-analysis models were used to pool risk ratios (RRs) across studies. Heterogeneity was evaluated using chi-square testing. Evidence certainty was assessed per GRADE framework. RESULTS Twenty-four non-randomized real-world studies reporting clinical outcomes with mRNA vaccines in individuals aged ≥ 50 years were included in the meta-analysis. Vaccination with mRNA-1273 was associated with significantly lower risk of SARS-CoV-2 infection (RR 0.72 [95% confidence interval (CI) 0.64‒0.80]), symptomatic SARS-CoV-2 infection (RR 0.72 [95% CI 0.62‒0.83]), severe SARS-CoV-2 infection (RR 0.67 [95% CI 0.57‒0.78]), and COVID-19-related hospitalization (RR 0.65 [95% CI 0.53‒0.79]) but not COVID-19-related death (RR 0.80 [95% CI 0.64‒1.00]) compared with BNT162b2. There was considerable heterogeneity between studies for all outcomes (I2 > 75%) except death (I2 = 0%). Multiple subgroup and sensitivity analyses excluding specific studies generally demonstrated consistent results. Certainty of evidence across outcomes was rated as low (type 3) or very low (type 4), reflecting the lack of randomized controlled trial data. CONCLUSION Meta-analysis of 24 observational studies demonstrated significantly lower risk of asymptomatic, symptomatic, and severe infections and hospitalizations with the mRNA-1273 versus BNT162b2 vaccine in older adults aged ≥ 50 years.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Ekkehard Beck
- Moderna, Inc., 200 Technology Square, Cambridge, MA, 02139, USA.
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Renck E, Zipper CB, Fabrino Junior MR, Salgado LAT, Rowe A, Helena ETDS. Vaccine effectiveness in preventing deaths in people with severe acute respiratory syndrome due to COVID-19 in Blumenau, Brazil, 2021. EPIDEMIOLOGIA E SERVIÇOS DE SAÚDE 2024; 33:e2023214. [PMID: 38381873 PMCID: PMC10883351 DOI: 10.1590/s2237-96222024v33e2023214.en] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 11/20/2023] [Indexed: 02/23/2024] Open
Abstract
OBJECTIVE to analyze the vaccine effectiveness in preventing deaths attributed to severe acute respiratory syndrome due to COVID-19 (SARS/COVID-19) in adults and the elderly, in Blumenau, state of Santa Catarina, Brazil, 2021. this was a population-based study conducted among individuals aged 20 years and older hospitalized with SARS/COVID-19; each death due to SARS/COVID-19 was considered a "case", and every survivor was considered a "control"; the association between vaccination status and the outcome of "death" was estimated using logistic regression, and vaccine effectiveness was estimated as (1-OR)*100. The study included 1,756 cases of SARS/COVID-19 (59.2% male, mean age of 56 years, 50.4% with elementary education, 68.4% with comorbidities and 39.1% in intensive care), of whom 398 died (cases) and 1,358 survived (controls); vaccine effectiveness was 74% and 85% (20-59 years old) and 72% and 75% (≥ 60 years old), respectively, for those who were partially vaccinated and fully vaccinated. CONCLUSION vaccines proved to be effective in reducing case fatality ratio due to SARS/COVID-19 in individuals ≥ 20 years old.
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Affiliation(s)
- Emanuelle Renck
- Universidade Regional de Blumenau, Departamento de Medicina, Blumenau, SC, Brasil
| | | | - Marcio Rodrigues Fabrino Junior
- Universidade Regional de Blumenau, Departamento de Medicina, Blumenau, SC, Brasil
- Universidade Regional de Blumenau, Programa de Pós-Graduação em Saúde Coletiva, Blumenau, SC, Brazil
| | | | - Adriel Rowe
- Prefeitura de Blumenau, Secretaria de Promoção da Saúde, Blumenau, SC, Brazil
| | - Ernani Tiaraju de Santa Helena
- Universidade Regional de Blumenau, Departamento de Medicina, Blumenau, SC, Brasil
- Universidade Regional de Blumenau, Programa de Pós-Graduação em Saúde Coletiva, Blumenau, SC, Brazil
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Seppälä E, Dahl J, Veneti L, Rydland KM, Klüwer B, Rohringer A, Meijerink H. Covid-19 and influenza vaccine effectiveness against associated hospital admission and death among individuals over 65 years in Norway: A population-based cohort study, 3 October 2022 to 20 June 2023. Vaccine 2024; 42:620-628. [PMID: 38142215 DOI: 10.1016/j.vaccine.2023.12.050] [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: 08/07/2023] [Revised: 12/04/2023] [Accepted: 12/17/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND Co-circulation of SARS-CoV-2 and influenza virus can lead to double epidemics and increased pressure on health systems. To evaluate the effect of both vaccines, we estimated the adjusted vaccine effectiveness (aVE) of influenza and Covid-19 vaccines against related severe disease in the elderly population in Norway during the 2022/2023 season. METHODS In this population-based cohort study, we included data from the Emergency preparedness register for Covid-19 (Beredt C19) on all individuals ≥ 65 years living in Norway between 3 October 2022 and 20 June 2023. Using Cox-proportional hazard models, we estimated aVE of both influenza and Covid-19 vaccines (bivalent BA.1 and BA.4-5) against associated hospitalisation and death. Vaccine status was included as a time-varying covariate and all models were adjusted for potential confounders, including the other vaccine. RESULTS We identified 2,437 influenza-associated hospitalisations and 178 deaths, alongside 5,824 Covid-19-associated hospitalisations and 621 deaths. The aVE was highest in the first three months after receiving either vaccine. Against influenza-associated hospitalisation the aVE was 34 % (26 %-42 %) among 65-79-year-olds and 40 % (30 %-48 %) among ≥ 80-year-olds, and 6.6 % (-64 %-47 %) and 37 % (0.5 %-61 %) against influenza-associated death, respectively. The aVE against Covid-19-associated hospitalisation was 65 % (61 %-69 %) among 65-79-year-olds and 55 % (49 %-60 %) among ≥ 80-year-olds (compared to having received the vaccine ≥ 180 days ago). Similarly, the aVE against Covid-19-associated death was 68 % (48 %-80 %) and 78 % (65 %-86 %), respectively. For Covid-19 we show a reduction in aVE with time since dose. CONCLUSION Covid-19 and influenza vaccines reduced the risk of severe disease in the same high-risk population. Ensuring high uptake of both vaccines could thus limit the overall health care burden.
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Affiliation(s)
- Elina Seppälä
- Department of Infection Control and Vaccines, Norwegian Institute of Public Health, Oslo, Norway
| | - Jesper Dahl
- Department of Infection Control and Vaccines, Norwegian Institute of Public Health, Oslo, Norway
| | - Lamprini Veneti
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Birgitte Klüwer
- Department of Infection Control and Vaccines, Norwegian Institute of Public Health, Oslo, Norway
| | - Andreas Rohringer
- Department of Virology, Norwegian Institute of Public Health, Oslo, Norway
| | - Hinta Meijerink
- Department of Infection Control and Vaccines, Norwegian Institute of Public Health, Oslo, Norway.
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Bøås H, Storm ML, Tapia G, Kristoffersen AB, Løvlie AL, Størdal K, Lyngstad TM, Bragstad K, Hungnes O, Veneti L. Frequency and risk of SARS-CoV-2 reinfections in Norway: a nation-wide study, February 2020 to January 2022. BMC Public Health 2024; 24:181. [PMID: 38225588 PMCID: PMC10789014 DOI: 10.1186/s12889-024-17695-8] [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: 08/08/2023] [Accepted: 01/08/2024] [Indexed: 01/17/2024] Open
Abstract
BACKGROUND SARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as well as the time interval used to identify reinfections. This study describes the frequency of SARS-CoV-2 reinfections in Norway using different time intervals and assesses potential factors that could impact the risk of reinfections during the different variant waves. METHODS We used linked individual-level data from national registries to conduct a retrospective cohort study including all cases with a positive test for SARS-CoV-2 from February 2020 to January 2022. Time intervals of 30, 60, 90 or 180 days between positive tests were used to define potential reinfections. A multivariable Cox regression model was used to assess the risk of reinfection in terms of variants adjusting for vaccination status, demographic factors, and underlying comorbidities. RESULTS The reinfection rate varied between 0.2%, 0.6% and 5.9% during the Alpha, Delta and early Omicron waves, respectively. In the multivariable model, younger age groups were associated with a higher risk of reinfection compared to older age groups, whereas vaccination was associated with protection against reinfection. Moreover, the risk of reinfection followed a pattern similar to risk of first infection. Individuals infected early in the pandemic had higher risk of reinfection than individuals infected in more recent waves. CONCLUSIONS Reinfections increased markedly during the Omicron wave. Younger individuals, and primary infections during earlier waves were associated with an increased reinfection risk compared to primary infections during more recent waves, whereas vaccination was a protective factor. Our results highlight the importance of age and post infection waning immunity and are relevant when evaluating vaccination polices.
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Affiliation(s)
- Håkon Bøås
- Department of Infection Control and Vaccines, Norwegian Institute of Public Health, Lovisenberggata 8, 0456, Oslo, Norway.
| | | | - German Tapia
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Astrid Louise Løvlie
- Department of Infectious Disease Registries, Norwegian Institute of Public Health, Oslo, Norway
| | - Ketil Størdal
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Pediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - Trude Marie Lyngstad
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
| | - Karoline Bragstad
- Department of Virology, Norwegian Institute of Public Health, Oslo, Norway
| | - Olav Hungnes
- Department of Virology, Norwegian Institute of Public Health, Oslo, Norway
| | - Lamprini Veneti
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
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Nolan TM, Deliyannis G, Griffith M, Braat S, Allen LF, Audsley J, Chung AW, Ciula M, Gherardin NA, Giles ML, Gordon TP, Grimley SL, Horng L, Jackson DC, Juno JA, Kedzierska K, Kent SJ, Lewin SR, Littlejohn M, McQuilten HA, Mordant FL, Nguyen THO, Soo VP, Price B, Purcell DFJ, Ramanathan P, Redmond SJ, Rockman S, Ruan Z, Sasadeusz J, Simpson JA, Subbarao K, Fabb SA, Payne TJ, Takanashi A, Tan CW, Torresi J, Wang JJ, Wang LF, Al-Wassiti H, Wong CY, Zaloumis S, Pouton CW, Godfrey DI. Interim results from a phase I randomized, placebo-controlled trial of novel SARS-CoV-2 beta variant receptor-binding domain recombinant protein and mRNA vaccines as a 4th dose booster. EBioMedicine 2023; 98:104878. [PMID: 38016322 PMCID: PMC10696466 DOI: 10.1016/j.ebiom.2023.104878] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/18/2023] [Accepted: 11/02/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND SARS-CoV-2 booster vaccination should ideally enhance protection against variants and minimise immune imprinting. This Phase I trial evaluated two vaccines targeting SARS-CoV-2 beta-variant receptor-binding domain (RBD): a recombinant dimeric RBD-human IgG1 Fc-fusion protein, and an mRNA encoding a membrane-anchored RBD. METHODS 76 healthy adults aged 18-64 y, previously triple vaccinated with licensed SARS-CoV-2 vaccines, were randomised to receive a 4th dose of either an adjuvanted (MF59®, CSL Seqirus) protein vaccine (5, 15 or 45 μg, N = 32), mRNA vaccine (10, 20, or 50 μg, N = 32), or placebo (saline, N = 12) at least 90 days after a 3rd boost vaccination or SARS-CoV-2 infection. Bleeds occurred on days 1 (prior to vaccination), 8, and 29. CLINICALTRIALS govNCT05272605. FINDINGS No vaccine-related serious or medically-attended adverse events occurred. The protein vaccine reactogenicity was mild, whereas the mRNA vaccine was moderately reactogenic at higher dose levels. Best anti-RBD antibody responses resulted from the higher doses of each vaccine. A similar pattern was seen with live virus neutralisation and surrogate, and pseudovirus neutralisation assays. Breadth of immune response was demonstrated against BA.5 and more recent omicron subvariants (XBB, XBB.1.5 and BQ.1.1). Binding antibody titres for both vaccines were comparable to those of a licensed bivalent mRNA vaccine. Both vaccines enhanced CD4+ and CD8+ T cell activation. INTERPRETATION There were no safety concerns and the reactogenicity profile was mild and similar to licensed SARS-CoV-2 vaccines. Both vaccines showed strong immune boosting against beta, ancestral and omicron strains. FUNDING Australian Government Medical Research Future Fund, and philanthropies Jack Ma Foundation and IFM investors.
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Affiliation(s)
- Terry M Nolan
- Department of Infectious Diseases, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia; Murdoch Children's Research Institute, Melbourne, Australia.
| | - Georgia Deliyannis
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Maryanne Griffith
- Department of Infectious Diseases, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
| | - Sabine Braat
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Lilith F Allen
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Jennifer Audsley
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Amy W Chung
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Marcin Ciula
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Nicholas A Gherardin
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Michelle L Giles
- Department of Infectious Diseases, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
| | - Tom P Gordon
- Department of Immunology, Flinders University and SA Pathology, Flinders Medical Centre, Bedford Park, Adelaide, Australia
| | - Samantha L Grimley
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Lana Horng
- Department of Infectious Diseases, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia; Murdoch Children's Research Institute, Melbourne, Australia
| | - David C Jackson
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Jennifer A Juno
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Katherine Kedzierska
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; Global Station for Zoonosis Control, Global Institution for Collaborative Research and Education (GI-CoRE), Hokkaido University, Sapporo, Japan
| | - Stephen J Kent
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Sharon R Lewin
- Department of Infectious Diseases, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia; Victorian Infectious Diseases Service, Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; Department of Infectious Diseases, Alfred Hospital and Monash University, Melbourne, Australia
| | - Mason Littlejohn
- Department of Infectious Diseases, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
| | - Hayley A McQuilten
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Francesca L Mordant
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Thi H O Nguyen
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Vanessa Pac Soo
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Briony Price
- Department of Infectious Diseases, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia; Murdoch Children's Research Institute, Melbourne, Australia
| | - Damian F J Purcell
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Pradhipa Ramanathan
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Samuel J Redmond
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Steven Rockman
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; CSL Seqirus, Vaccine Innovation Unit, Parkville, Melbourne, Australia
| | - Zheng Ruan
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Joseph Sasadeusz
- Victorian Infectious Diseases Service, Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; Department of Infectious Diseases, Alfred Hospital and Monash University, Melbourne, Australia
| | - Julie A Simpson
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Kanta Subbarao
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; WHO Collaborating Centre for Reference and Research on Influenza at the Peter Doherty Institute for Infection and Immunity, Australia
| | - Stewart A Fabb
- Monash Institute of Pharmaceutical Sciences, Parkville, Australia
| | - Thomas J Payne
- Monash Institute of Pharmaceutical Sciences, Parkville, Australia
| | - Asuka Takanashi
- Monash Institute of Pharmaceutical Sciences, Parkville, Australia
| | - Chee Wah Tan
- Duke NUS Medical School, Programme for Emerging Infectious Diseases, Singapore
| | - Joseph Torresi
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Jing Jing Wang
- Department of Immunology, Flinders University and SA Pathology, Flinders Medical Centre, Bedford Park, Adelaide, Australia
| | - Lin-Fa Wang
- Duke NUS Medical School, Programme for Emerging Infectious Diseases, Singapore
| | | | - Chinn Yi Wong
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Sophie Zaloumis
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Colin W Pouton
- Monash Institute of Pharmaceutical Sciences, Parkville, Australia
| | - Dale I Godfrey
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
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Goldberg Y, Amir O, Mandel M, Freedman L, Bar-On YM, Bodenheimer O, Milo R, Huppert A. Measuring vaccine protection when the population is mostly vaccinated. J Clin Epidemiol 2023; 163:111-116. [PMID: 37774957 DOI: 10.1016/j.jclinepi.2023.09.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 08/30/2023] [Accepted: 09/21/2023] [Indexed: 10/01/2023]
Abstract
OBJECTIVES This study aims to address limitations in assessing vaccine protection using the classical vaccine effectiveness (VE) measure, especially in contexts where a significant portion of the population is already vaccinated or infected. STUDY DESIGN AND SETTING We propose using the adjusted number of cases (ANC) as a building block for deriving vaccine effectiveness measures. This approach accounts for biases arising from small and unrepresentative unvaccinated reference groups with incomplete data. We demonstrate the use of these measures for assessing the protection conferred by a booster dose against severe COVID-19 using data from Israel. RESULTS The use of ANC and the derived measures reveals a more comprehensive understanding of the complex immunity landscape compared to traditional VE measures. This approach enables meaningful comparisons between different vaccination categories and provides insights to inform policy decisions. CONCLUSION In situations with widespread vaccination and prior infections, traditional VE measures can be limited in their informative value. Using the ANC offers a more robust and insightful assessment of vaccine effectiveness. A demonstration of the evaluation of booster dose protection against severe COVID-19 in Israel underscores the importance of adopting complementary measures to guide public health strategies.
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Affiliation(s)
- Yair Goldberg
- The Faculty of Data and Decisions Science, Technion-Israel Institute of Technology, Haifa, Israel.
| | - Ofra Amir
- The Faculty of Data and Decisions Science, Technion-Israel Institute of Technology, Haifa, Israel
| | - Micha Mandel
- The Department of Statistics and Data Science, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Laurence Freedman
- The Bio-statistical and Bio-mathematical Unit, The Gertner Institute for Epidemiology & Health Policy Research, Sheba Medical Center, Ramat Gan, Israel
| | - Yinon M Bar-On
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Omri Bodenheimer
- Division of Public Health, Israel Ministry of Health, Jerusalem, Israel
| | - Ron Milo
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Amit Huppert
- The Bio-statistical and Bio-mathematical Unit, The Gertner Institute for Epidemiology & Health Policy Research, Sheba Medical Center, Ramat Gan, Israel; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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Rose AM, Nicolay N, Sandonis Martín V, Mazagatos C, Petrović G, Niessen FA, Machado A, Launay O, Denayer S, Seyler L, Baruch J, Burgui C, Loghin II, Domegan L, Vaikutytė R, Husa P, Panagiotakopoulos G, Aouali N, Dürrwald R, Howard J, Pozo F, Sastre-Palou B, Nonković D, Knol MJ, Kislaya I, Luong Nguyen LB, Bossuyt N, Demuyser T, Džiugytė A, Martínez-Baz I, Popescu C, Duffy R, Kuliešė M, Součková L, Michelaki S, Simon M, Reiche J, Otero-Barrós MT, Lovrić Makarić Z, Bruijning-Verhagen PC, Gomez V, Lesieur Z, Barbezange C, Van Nedervelde E, Borg ML, Castilla J, Lazar M, O'Donnell J, Jonikaitė I, Demlová R, Amerali M, Wirtz G, Tolksdorf K, Valenciano M, Bacci S, Kissling E. Vaccine effectiveness against COVID-19 hospitalisation in adults (≥ 20 years) during Alpha- and Delta-dominant circulation: I-MOVE-COVID-19 and VEBIS SARI VE networks, Europe, 2021. Euro Surveill 2023; 28:2300186. [PMID: 37997666 PMCID: PMC10668259 DOI: 10.2807/1560-7917.es.2023.28.47.2300186] [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: 03/23/2023] [Accepted: 07/24/2023] [Indexed: 11/25/2023] Open
Abstract
IntroductionTwo large multicentre European hospital networks have estimated vaccine effectiveness (VE) against COVID-19 since 2021.AimWe aimed to measure VE against PCR-confirmed SARS-CoV-2 in hospitalised severe acute respiratory illness (SARI) patients ≥ 20 years, combining data from these networks during Alpha (March-June)- and Delta (June-December)-dominant periods, 2021.MethodsForty-six participating hospitals across 14 countries follow a similar generic protocol using the test-negative case-control design. We defined complete primary series vaccination (PSV) as two doses of a two-dose or one of a single-dose vaccine ≥ 14 days before onset.ResultsWe included 1,087 cases (538 controls) and 1,669 cases (1,442 controls) in the Alpha- and Delta-dominant periods, respectively. During the Alpha period, VE against hospitalisation with SARS-CoV2 for complete Comirnaty PSV was 85% (95% CI: 69-92) overall and 75% (95% CI: 42-90) in those aged ≥ 80 years. During the Delta period, among SARI patients ≥ 20 years with symptom onset ≥ 150 days from last PSV dose, VE for complete Comirnaty PSV was 54% (95% CI: 18-74). Among those receiving Comirnaty PSV and mRNA booster (any product) ≥ 150 days after last PSV dose, VE was 91% (95% CI: 57-98). In time-since-vaccination analysis, complete all-product PSV VE was > 90% in those with their last dose < 90 days before onset; ≥ 70% in those 90-179 days before onset.ConclusionsOur results from this EU multi-country hospital setting showed that VE for complete PSV alone was higher in the Alpha- than the Delta-dominant period, and addition of a first booster dose during the latter period increased VE to over 90%.
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Affiliation(s)
| | - Nathalie Nicolay
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | | | - Clara Mazagatos
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | | - F Annabel Niessen
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Ausenda Machado
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | - Odile Launay
- Inserm, CIC Cochin-Pasteur, Paris, France
- AP-HP, Hôpital Cochin, Paris, France
- Faculty of Medicine, University of Paris City, Paris, France
| | | | - Lucie Seyler
- Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Joaquin Baruch
- IDCU within Health promotion and disease prevention Directorate, G'mangia, Malta
| | - Cristina Burgui
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Isabela I Loghin
- St. Parascheva Clinical Hospital of Infectious Diseases, Iasi, Romania
- Grigore T. Popa University of Medicine and Pharmacy, Iasi, Romania
| | - Lisa Domegan
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | | | - Petr Husa
- Faculty of Medicine, Masaryk University, Brno, Czechia
- University Hospital Brno, Brno, Czechia
| | | | | | | | | | - Francisco Pozo
- National Centre for Microbiology, Institute of Health Carlos III, Madrid, Spain
| | - Bartolomé Sastre-Palou
- Servicio de Medicina Preventiva Hospital Universitario Son Espases, Servicio de Epidemiología, Consellería de Salut, Palma, Spain
| | - Diana Nonković
- Teaching Public Health Institute of Split-Dalmatia County, Split, Croatia
| | - Mirjam J Knol
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Irina Kislaya
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | | | | | | | - Aušra Džiugytė
- IDCU within Health promotion and disease prevention Directorate, G'mangia, Malta
| | - Iván Martínez-Baz
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Corneliu Popescu
- Dr Victor Babes Clinical Hospital of Infectious and Tropical Diseases, Bucharest, Romania
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Róisín Duffy
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | - Monika Kuliešė
- Lithuanian University of Health Sciences, Kaunas, Lithuania
| | | | | | - Marc Simon
- Centre Hospitalier de Luxembourg, Luxembourg
| | | | - María Teresa Otero-Barrós
- Servicio de Epidemiología, Dirección General de Salud Pública, Consejería de Sanidad de Galicia, Santiago de Compostela, A Coruna, Spain
| | | | - Patricia Cjl Bruijning-Verhagen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Verónica Gomez
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | | | | | | | - Maria-Louise Borg
- IDCU within Health promotion and disease prevention Directorate, G'mangia, Malta
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Mihaela Lazar
- "Cantacuzino" National Military Medical Institute for Research-Development, Bucharest, Romania
| | - Joan O'Donnell
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | | | | | - Marina Amerali
- National Public Health Organisation (EODY), Athens, Greece
| | - Gil Wirtz
- Luxembourg Institute of Health, Luxembourg
| | | | | | - Sabrina Bacci
- European Centre for Disease Prevention and Control, Stockholm, Sweden
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Kislaya I, Sentís A, Starrfelt J, Nunes B, Martínez‐Baz I, Nielsen KF, AlKerwi A, Braeye T, Fontán‐Vela M, Bacci S, Meijerink H, Castilla J, Emborg H, Hansen CH, Schmitz S, Van Evercooren I, Valenciano M, Nardone A, Nicolay N, Monge S. Monitoring COVID-19 vaccine effectiveness against COVID-19 hospitalisation and death using electronic health registries in ≥65 years old population in six European countries, October 2021 to November 2022. Influenza Other Respir Viruses 2023; 17:e13195. [PMID: 38019704 PMCID: PMC10682901 DOI: 10.1111/irv.13195] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 08/14/2023] [Accepted: 08/22/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Within the ECDC-VEBIS project, we prospectively monitored vaccine effectiveness (VE) against COVID-19 hospitalisation and COVID-19-related death using electronic health registries (EHR), between October 2021 and November 2022, in community-dwelling residents aged 65-79 and ≥80 years in six European countries. METHODS EHR linkage was used to construct population cohorts in Belgium, Denmark, Luxembourg, Navarre (Spain), Norway and Portugal. Using a common protocol, for each outcome, VE was estimated monthly over 8-week follow-up periods, allowing 1 month-lag for data consolidation. Cox proportional-hazards models were used to estimate adjusted hazard ratios (aHR) and VE = (1 - aHR) × 100%. Site-specific estimates were pooled using random-effects meta-analysis. RESULTS For ≥80 years, considering unvaccinated as the reference, VE against COVID-19 hospitalisation decreased from 66.9% (95% CI: 60.1; 72.6) to 36.1% (95% CI: -27.3; 67.9) for the primary vaccination and from 95.6% (95% CI: 88.0; 98.4) to 67.7% (95% CI: 45.9; 80.8) for the first booster. Similar trends were observed for 65-79 years. The second booster VE against hospitalisation ranged between 82.0% (95% CI: 75.9; 87.0) and 83.9% (95% CI: 77.7; 88.4) for the ≥80 years and between 39.3% (95% CI: -3.9; 64.5) and 80.6% (95% CI: 67.2; 88.5) for 65-79 years. The first booster VE against COVID-19-related death declined over time for both age groups, while the second booster VE against death remained above 80% for the ≥80 years. CONCLUSIONS Successive vaccine boosters played a relevant role in maintaining protection against COVID-19 hospitalisation and death, in the context of decreasing VE over time. Multicountry data from EHR facilitate robust near-real-time VE monitoring in the EU/EEA and support public health decision-making.
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Affiliation(s)
- Irina Kislaya
- Department of EpidemiologyInstituto Nacional de Saúde Doutor Ricardo Jorge (INSA)LisbonPortugal
| | | | | | - Baltazar Nunes
- Department of EpidemiologyInstituto Nacional de Saúde Doutor Ricardo Jorge (INSA)LisbonPortugal
| | - Iván Martínez‐Baz
- Instituto de Salud Pública de Navarra ‐ IdiSNAPamplonaSpain
- CIBER on Epidemiology and Public Health (CIBERESP)MadridSpain
| | - Katrine Finderup Nielsen
- Department of Infectious Disease Epidemiology & PreventionStatens Serum Institut (SSI)CopenhagenDenmark
| | - Ala'a AlKerwi
- Ministry of Health, Directorate of Health, Service Epidemiology and StatisticsLuxembourgLuxembourg
| | - Toon Braeye
- Epidemiology of infectious diseases, SciensanoBrusselsBelgium
| | - Mario Fontán‐Vela
- Instituto de Salud Carlos III (ISCIII), MadridSpain
- Public Health and Epidemiology research groupSchool of Medicine and Health Sciences, Universidad de Alcalá, Alcalá de HenaresMadridSpain
| | - Sabrina Bacci
- Vaccine Preventable Diseases and ImmunisationEuropean Centre for Disease Prevention and Control (ECDC)SolnaSweden
| | | | - Jesús Castilla
- Instituto de Salud Pública de Navarra ‐ IdiSNAPamplonaSpain
- CIBER on Epidemiology and Public Health (CIBERESP)MadridSpain
| | - Hanne‐Dorthe Emborg
- Department of Infectious Disease Epidemiology & PreventionStatens Serum Institut (SSI)CopenhagenDenmark
| | - Christian Holm Hansen
- Department of Infectious Disease Epidemiology & PreventionStatens Serum Institut (SSI)CopenhagenDenmark
| | - Susanne Schmitz
- Ministry of Health, Directorate of Health, Service Epidemiology and StatisticsLuxembourgLuxembourg
| | | | | | | | - Nathalie Nicolay
- Vaccine Preventable Diseases and ImmunisationEuropean Centre for Disease Prevention and Control (ECDC)SolnaSweden
| | - Susana Monge
- Instituto de Salud Carlos III (ISCIII), MadridSpain
- CIBER on Infectious Diseases (CIBERINFEC)MadridSpain
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10
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Andersson NW, Thiesson EM, Baum U, Pihlström N, Starrfelt J, Faksová K, Poukka E, Lund LC, Hansen CH, Aakjær M, Kjær J, Cohet C, Goossens M, Andersen M, Hallas J, Meijerink H, Ljung R, Hviid A. Comparative effectiveness of heterologous third dose vaccine schedules against severe covid-19 during omicron predominance in Nordic countries: population based cohort analyses. BMJ 2023; 382:e074325. [PMID: 37487623 PMCID: PMC10360027 DOI: 10.1136/bmj-2022-074325] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/16/2023] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To investigate the comparative vaccine effectiveness of heterologous booster schedules (ie, three vaccine doses) compared with primary schedules (two vaccine doses) and with homologous mRNA vaccine booster schedules (three vaccine doses) during a period of omicron predominance. DESIGN Population based cohort analyses. SETTING Denmark, Finland, Norway, and Sweden, 27 December 2020 to 31 December 2022. PARTICIPANTS All adults aged ≥18 years who had received at least a primary vaccination schedule of AZD1222 (Oxford-AstraZeneca) or monovalent SARS-CoV-2 wild type (ancestral) strain based mRNA vaccines BNT162b2 (Pfizer-BioNTech) or mRNA-1273 (Moderna), in any combination. MAIN OUTCOME MEASURES The main outcome measure was country combined risks of covid-19 related hospital admission and death with covid-19 and additional outcomes of covid-19 related admission to an intensive care unit and SARS-CoV-2 infection. During a period of omicron predominance, these outcomes were compared in those who received a heterologous booster versus primary schedule (matched analyses) and versus those who received a homologous mRNA vaccine booster (weighted analyses). Follow-up was for 75 days from day 14 after the booster dose; comparative vaccine effectiveness was calculated as 1-risk ratio. RESULTS Across the four Nordic countries, 1 086 418 participants had received a heterologous booster schedule of AZD1222+BNT162b2 or mRNA-1273 and 2 505 093 had received a heterologous booster schedule of BNT162b2+mRNA-1273. Compared with the primary schedule only (two doses), the vaccine effectiveness of heterologous booster schedules comprising AZD1222+BNT162b2 or mRNA-1273 and BNT162b2+mRNA-1273 was 82.7% (95% confidence interval 77.1% to 88.2%) and 81.5% (78.9% to 84.2%) for covid-19 related hospital admission and 95.9% (91.6% to 100.0%) and 87.5% (82.5% to 92.6%) for death with covid-19, respectively. Homologous mRNA booster schedules were similarly associated with increased protection against covid-19 related hospital admission (≥76.5%) and death with covid-19 (≥84.1%) compared with previous primary course vaccination only. When a heterologous booster schedule was compared with the homologous booster schedule, vaccine effectiveness was 27.2% (3.7% to 50.6%) for AZD1222+BNT162b2 or mRNA-1273 and 23.3% (15.8% to 30.8%) for BNT162b2+mRNA-1273 schedules against covid-19 related hospital admission and 21.7% (-8.3% to 51.7%) and 18.4% (-15.7% to 52.5%) against death with covid-19, respectively. CONCLUSION Heterologous booster schedules are associated with increased protection against severe, omicron related covid-19 outcomes compared with primary course schedules and homologous booster schedules.
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Affiliation(s)
| | | | - Ulrike Baum
- Infectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Nicklas Pihlström
- Division of Licensing, Swedish Medical Products Agency, Uppsala, Sweden
| | - Jostein Starrfelt
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
| | - Kristýna Faksová
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Eero Poukka
- Infectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Lars Christian Lund
- Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Christian Holm Hansen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Mia Aakjær
- Pharmacovigilance Research Center, Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Jesper Kjær
- Data Analytics Center, Danish Medicines Agency, Copenhagen, Denmark
| | | | | | - Morten Andersen
- Pharmacovigilance Research Center, Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Jesper Hallas
- Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
- Clinical Pharmacology, Odense University Hospital, Odense, Denmark
| | - Hinta Meijerink
- Department of Infection Control and Vaccines, Norwegian Institute of Public Health, Oslo, Norway
| | - Rickard Ljung
- Division of Use and Information, Swedish Medical Products Agency, Uppsala, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Anders Hviid
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
- Pharmacovigilance Research Center, Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
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11
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Augustyniak A, Szymański T, Porzucek F, Mieloch AA, Semba JA, Hubert KA, Grajek D, Krela R, Rogalska Z, Zalc-Budziszewska E, Wysocki S, Sobczak K, Kuczyński L, Rybka JD. A cohort study reveals different dynamics of SARS-CoV-2-specific antibody formation after Comirnaty and Vaxzevria vaccination. Vaccine 2023:S0264-410X(23)00665-5. [PMID: 37407407 PMCID: PMC10284451 DOI: 10.1016/j.vaccine.2023.06.008] [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: 02/16/2023] [Revised: 05/23/2023] [Accepted: 06/02/2023] [Indexed: 07/07/2023]
Abstract
The Coronavirus (COVID-19) Disease Pandemic, caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has affected millions of people worldwide, prompting a collective effort from the global scientific community to develop a vaccine against it. This study purports to investigate the influence of factors such as sex, age, type of vaccination (Comirnaty, BNT162b2, Pfizer Inc. or Vaxzevria, ChAdOx1-S, Oxford/AstraZeneca), and time since vaccine administration on the process of antibody production. Both of them are based on the introduction of SARS-CoV-2 spike protein (S protein) to the body using different mechanisms (mRNA and recombinant adenovirus, respectively). S protein is responsible for host cell attachment and penetration via its receptor-binding domain (RBD domain). The level of anti-RBD IgG antibodies was tested with an ELISA-based immunodiagnostic assay in serum samples from a total of 1395 patients at 3 time points: before vaccination, after the first dose, and after the second dose. Our novel statistical model, the Generalized Additive Model, revealed variability in antibody production dynamics for both vaccines. Interestingly, no discernible variation in antibody levels between men and women was found. A nonlinear relationship between age and antibody production was observed, characterized by decreased antibody levels for people up to 30 and over 60 years of age, with a lack of correlation in the middle age range. Collectively, our findings further the understanding of the mechanism driving vaccine-induced immunity. Additionally, we propose the Generalized Additive Model as a standardized way of presenting data in similar research.
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Affiliation(s)
- Adam Augustyniak
- Center for Advanced Technology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 10, 61-614 Poznan, Poland
| | - Tomasz Szymański
- Center for Advanced Technology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 10, 61-614 Poznan, Poland; Faculty of Chemistry, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8 Street, 61-614 Poznan, Poland; Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8 Street, 61-614 Poznan, Poland
| | - Filip Porzucek
- Center for Advanced Technology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 10, 61-614 Poznan, Poland
| | - Adam Aron Mieloch
- Center for Advanced Technology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 10, 61-614 Poznan, Poland
| | - Julia Anna Semba
- Center for Advanced Technology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 10, 61-614 Poznan, Poland; Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8 Street, 61-614 Poznan, Poland
| | - Katarzyna Anna Hubert
- Center for Advanced Technology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 10, 61-614 Poznan, Poland; Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8 Street, 61-614 Poznan, Poland
| | - Dominika Grajek
- Center for Advanced Technology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 10, 61-614 Poznan, Poland
| | - Rafał Krela
- Center for Advanced Technology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 10, 61-614 Poznan, Poland
| | - Zuzanna Rogalska
- Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8 Street, 61-614 Poznan, Poland; Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 6, 61-614 Poznan, Poland
| | - Ewa Zalc-Budziszewska
- Provincial Specialist Complex of Healthcare Institutions of Lung Diseases and Tuberculosis, Wolica 113, 62-872 Godziesze Małe, Poland
| | - Sławomir Wysocki
- Provincial Specialist Complex of Healthcare Institutions of Lung Diseases and Tuberculosis, Wolica 113, 62-872 Godziesze Małe, Poland
| | - Krzysztof Sobczak
- Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8 Street, 61-614 Poznan, Poland; Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 6, 61-614 Poznan, Poland
| | - Lechosław Kuczyński
- Population Ecology Lab, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 6, 61-614 Poznan, Poland
| | - Jakub Dalibor Rybka
- Center for Advanced Technology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 10, 61-614 Poznan, Poland.
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12
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Atanasov V, Barreto N, Whittle J, Meurer J, Weston BW, Luo QE, Yuan AY, Franchi L, Zhang R, Black B. Selection Effects and COVID-19 Mortality Risk after Pfizer vs. Moderna Vaccination: Evidence from Linked Mortality and Vaccination Records. Vaccines (Basel) 2023; 11:vaccines11050971. [PMID: 37243075 DOI: 10.3390/vaccines11050971] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/02/2023] [Accepted: 05/03/2023] [Indexed: 05/28/2023] Open
Abstract
Prior research generally finds that the Pfizer-BioNTech (BNT162b2) and Moderna (mRNA1273) COVID-19 vaccines provide similar protection against mortality, sometimes with a Moderna advantage due to slower waning. However, most comparisons do not address selection effects for those who are vaccinated and with which vaccine. We report evidence on large selection effects, and use a novel method to control for these effects. Instead of directly studying COVID-19 mortality, we study the COVID-19 excess mortality percentage (CEMP), defined as the COVID-19 deaths divided by non-COVID-19 natural deaths for the same population, converted to a percentage. The CEMP measure uses non-COVID-19 natural deaths to proxy for population health and control for selection effects. We report the relative mortality risk (RMR) for each vaccine relative to the unvaccinated population and to the other vaccine, using linked mortality and vaccination records for all adults in Milwaukee County, Wisconsin, from 1 April 2021 through 30 June 2022. For two-dose vaccinees aged 60+, RMRs for Pfizer vaccinees were consistently over twice those for Moderna, and averaged 248% of Moderna (95% CI = 175%,353%). In the Omicron period, Pfizer RMR was 57% versus 23% for Moderna. Both vaccines demonstrated waning of two-dose effectiveness over time, especially for ages 60+. For booster recipients, the Pfizer-Moderna gap is much smaller and statistically insignificant. A possible explanation for the Moderna advantage for older persons is the higher Moderna dose of 100 μg, versus 30 μg for Pfizer. Younger persons (aged 18-59) were well-protected against death by two doses of either vaccine, and highly protected by three doses (no deaths among over 100,000 vaccinees). These results support the importance of a booster dose for ages 60+, especially for Pfizer recipients. They suggest, but do not prove, that a larger vaccine dose may be appropriate for older persons than for younger persons.
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Affiliation(s)
- Vladimir Atanasov
- Mason College of Business, William & Mary, Williamsburg, VA 23185, USA
| | - Natalia Barreto
- Department of Economics, University of Illinois, Urbana-Champaign, Champaign, IL 61820, USA
| | - Jeff Whittle
- Medical College of Wisconsin; Milwaukee, WI 53226, USA
| | - John Meurer
- Medical College of Wisconsin; Milwaukee, WI 53226, USA
| | | | - Qian Eric Luo
- Department of Health Policy and Management, George Washington University, Washington, DC 20052, USA
| | - Andy Ye Yuan
- Pritzker School of Law, Northwestern University, Chicago, IL 60611, USA
| | - Lorenzo Franchi
- Pritzker School of Law, Northwestern University, Chicago, IL 60611, USA
| | - Ruohao Zhang
- Department of Agricultural Economics, Pennsylvania State University, State College, PA 16803, USA
| | - Bernard Black
- Pritzker School of Law, Northwestern University, Chicago, IL 60611, USA
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13
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Langlete P, Tesli M, Veneti L, Starrfelt J, Elstrøm P, Meijerink H. Estimated vaccine effectiveness against SARS-CoV-2 Delta and Omicron infections among health care workers and the general adult population in Norway, August 2021 - January 2022. Vaccine 2023:S0264-410X(23)00549-2. [PMID: 37211454 DOI: 10.1016/j.vaccine.2023.05.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 03/22/2023] [Accepted: 05/05/2023] [Indexed: 05/23/2023]
Abstract
BACKGROUND Health care workers (HCW) have a higher exposure to SARS-CoV-2 virus than other professionals and to protect both HCW and patients, HCW have been prioritized for vaccination against SARS-CoV-2 in many countries. Estimating the COVID-19 vaccine effectiveness among HCW is important to provide recommendations to protect risk groups. METHODS We estimated vaccine effectiveness against SARS-CoV-2 infections using Cox proportional hazard models among HCW with comparisons in the general population, from 1 August 2021 to 28 January 2022. Vaccine status is specified as a time-varying covariate and all models incorporated explicit time and were adjusted for age, sex, comorbidities, county of residence, country of birth, and living conditions. Data from the adult Norwegian population (aged 18-67 years) and HCW workplace data (as registered 1 January 2021) were collated from the National Preparedness Register for COVID-19 (Beredt C19). RESULTS Vaccine effectiveness was higher for Delta than for the Omicron variant in HCW (71 % compared to 19 %) as well as in non-HCW (69 % compared to -32 %). For the Omicron variant a 3rd dose provides significantly better protection against infection than 2 doses in both HCW (33 %) and non-HCW (10 %). Further, HCW seem to have better vaccine effectiveness than non-HCW for the Omicron, but not for the Delta variant. CONCLUSIONS Vaccine effectiveness were comparable between HCW and non-HCW for the delta variant, but significantly higher in HCW than non-HCW for the omicron variant. Both HCW and non-HCW got increased protection from a third dose.
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Affiliation(s)
- Petter Langlete
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway.
| | - Martin Tesli
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway; Oslo University Hospital, Oslo, Norway
| | - Lamprini Veneti
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
| | - Jostein Starrfelt
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
| | - Petter Elstrøm
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway; Centre for Epidemic Intervention Research, Norwegian Institute of Public Health, Oslo, Norway
| | - Hinta Meijerink
- Department of Infection Control and Vaccines, Norwegian Institute of Public Health, Oslo, Norway
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Menegale F, Manica M, Zardini A, Guzzetta G, Marziano V, d'Andrea V, Trentini F, Ajelli M, Poletti P, Merler S. Evaluation of Waning of SARS-CoV-2 Vaccine-Induced Immunity: A Systematic Review and Meta-analysis. JAMA Netw Open 2023; 6:e2310650. [PMID: 37133863 PMCID: PMC10157431 DOI: 10.1001/jamanetworkopen.2023.10650] [Citation(s) in RCA: 66] [Impact Index Per Article: 66.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
Importance Estimates of the rate of waning of vaccine effectiveness (VE) against COVID-19 are key to assess population levels of protection and future needs for booster doses to face the resurgence of epidemic waves. Objective To quantify the progressive waning of VE associated with the Delta and Omicron variants of SARS-CoV-2 by number of received doses. Data Sources PubMed and Web of Science were searched from the databases' inception to October 19, 2022, as well as reference lists of eligible articles. Preprints were included. Study Selection Selected studies for this systematic review and meta-analysis were original articles reporting estimates of VE over time against laboratory-confirmed SARS-CoV-2 infection and symptomatic disease. Data Extraction and Synthesis Estimates of VE at different time points from vaccination were retrieved from original studies. A secondary data analysis was performed to project VE at any time from last dose administration, improving the comparability across different studies and between the 2 considered variants. Pooled estimates were obtained from random-effects meta-analysis. Main Outcomes and Measures Outcomes were VE against laboratory-confirmed Omicron or Delta infection and symptomatic disease and half-life and waning rate associated with vaccine-induced protection. Results A total of 799 original articles and 149 reviews published in peer-reviewed journals and 35 preprints were identified. Of these, 40 studies were included in the analysis. Pooled estimates of VE of a primary vaccination cycle against laboratory-confirmed Omicron infection and symptomatic disease were both lower than 20% at 6 months from last dose administration. Booster doses restored VE to levels comparable to those acquired soon after the administration of the primary cycle. However, 9 months after booster administration, VE against Omicron was lower than 30% against laboratory-confirmed infection and symptomatic disease. The half-life of VE against symptomatic infection was estimated to be 87 days (95% CI, 67-129 days) for Omicron compared with 316 days (95% CI, 240-470 days) for Delta. Similar waning rates of VE were found for different age segments of the population. Conclusions and Relevance These findings suggest that the effectiveness of COVID-19 vaccines against laboratory-confirmed Omicron or Delta infection and symptomatic disease rapidly wanes over time after the primary vaccination cycle and booster dose. These results can inform the design of appropriate targets and timing for future vaccination programs.
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Affiliation(s)
- Francesco Menegale
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
- Department of Mathematics, University of Trento, Trento, Italy
| | - Mattia Manica
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
- Epilab-JRU, FEM-FBK Joint Research Unit, Trento, Italy
| | - Agnese Zardini
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | - Giorgio Guzzetta
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
- Epilab-JRU, FEM-FBK Joint Research Unit, Trento, Italy
| | | | - Valeria d'Andrea
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | - Filippo Trentini
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
- Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy
| | - Marco Ajelli
- Laboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington
| | - Piero Poletti
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
- Epilab-JRU, FEM-FBK Joint Research Unit, Trento, Italy
| | - Stefano Merler
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
- Epilab-JRU, FEM-FBK Joint Research Unit, Trento, Italy
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15
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Wu N, Joyal-Desmarais K, Ribeiro PAB, Vieira AM, Stojanovic J, Sanuade C, Yip D, Bacon SL. Long-term effectiveness of COVID-19 vaccines against infections, hospitalisations, and mortality in adults: findings from a rapid living systematic evidence synthesis and meta-analysis up to December, 2022. THE LANCET. RESPIRATORY MEDICINE 2023; 11:439-452. [PMID: 36780914 PMCID: PMC9917454 DOI: 10.1016/s2213-2600(23)00015-2] [Citation(s) in RCA: 65] [Impact Index Per Article: 65.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 01/05/2023] [Accepted: 01/05/2023] [Indexed: 02/12/2023]
Abstract
BACKGROUND Synthesising evidence on the long-term vaccine effectiveness of COVID-19 vaccines (BNT162b2 [Pfizer-BioNTech], mRNA-1273 [Moderna], ChAdOx1 nCoV-19 [AZD1222; Oxford-AstraZeneca], and Ad26.COV2.S [Janssen]) against infections, hospitalisations, and mortality is crucial to making evidence-based pandemic policy decisions. METHODS In this rapid living systematic evidence synthesis and meta-analysis, we searched EMBASE and the US National Institutes of Health's iSearch COVID-19 Portfolio, supplemented by manual searches of COVID-19-specific sources, until Dec 1, 2022, for studies that reported vaccine effectiveness immediately and at least 112 days after a primary vaccine series or at least 84 days after a booster dose. Single reviewers assessed titles, abstracts, and full-text articles, and extracted data, with a second reviewer verifying included studies. The primary outcomes were vaccine effectiveness against SARS-CoV-2 infections, hospitalisations, and mortality, which were assessed using three-level meta-analytic models. This study is registered with the National Collaborating Centre for Methods and Tools, review 473. FINDINGS We screened 16 696 records at the title and abstract level, appraised 832 (5·0%) full texts, and initially included 73 (0·4%) studies. Of these, we excluded five (7%) studies because of critical risk of bias, leaving 68 (93%) studies that were extracted for analysis. For infections caused by any SARS-CoV-2 strain, vaccine effectiveness for the primary series reduced from 83% (95% CI 80-86) at baseline (14-42 days) to 62% (53-69) by 112-139 days. Vaccine effectiveness at baseline was 92% (88-94) for hospitalisations and 91% (85-95) for mortality, and reduced to 79% (65-87) at 224-251 days for hospitalisations and 86% (73-93) at 168-195 days for mortality. Estimated vaccine effectiveness was lower for the omicron variant for infections, hospitalisations, and mortality at baseline compared with that of other variants, but subsequent reductions occurred at a similar rate across variants. For booster doses, which covered mostly omicron studies, vaccine effectiveness at baseline was 70% (56-80) against infections and 89% (82-93) against hospitalisations, and reduced to 43% (14-62) against infections and 71% (51-83) against hospitalisations at 112 days or later. Not enough studies were available to report on booster vaccine effectiveness against mortality. INTERPRETATION Our analyses indicate that vaccine effectiveness generally decreases over time against SARS-CoV-2 infections, hospitalisations, and mortality. The baseline vaccine effectiveness levels for the omicron variant were notably lower than for other variants. Therefore, other preventive measures (eg, face-mask wearing and physical distancing) might be necessary to manage the pandemic in the long term. FUNDING Canadian Institutes of Health Research and the Public Health Agency of Canada.
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Affiliation(s)
- Nana Wu
- META Group, Montreal Behavioural Medicine Centre, CIUSSS du Nord-de-l'Île-de-Montréal, Montreal, QC, Canada; Department of Health, Kinesiology, and Applied Physiology, Concordia University, Montreal, QC, Canada
| | - Keven Joyal-Desmarais
- META Group, Montreal Behavioural Medicine Centre, CIUSSS du Nord-de-l'Île-de-Montréal, Montreal, QC, Canada; Department of Health, Kinesiology, and Applied Physiology, Concordia University, Montreal, QC, Canada
| | - Paula A B Ribeiro
- META Group, Montreal Behavioural Medicine Centre, CIUSSS du Nord-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Ariany Marques Vieira
- META Group, Montreal Behavioural Medicine Centre, CIUSSS du Nord-de-l'Île-de-Montréal, Montreal, QC, Canada; Department of Health, Kinesiology, and Applied Physiology, Concordia University, Montreal, QC, Canada
| | - Jovana Stojanovic
- META Group, Montreal Behavioural Medicine Centre, CIUSSS du Nord-de-l'Île-de-Montréal, Montreal, QC, Canada; Canadian Agency for Drugs and Technologies in Health, Ottawa, ON, Canada
| | - Comfort Sanuade
- META Group, Montreal Behavioural Medicine Centre, CIUSSS du Nord-de-l'Île-de-Montréal, Montreal, QC, Canada; Department of Health, Kinesiology, and Applied Physiology, Concordia University, Montreal, QC, Canada
| | - Doro Yip
- META Group, Montreal Behavioural Medicine Centre, CIUSSS du Nord-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Simon L Bacon
- META Group, Montreal Behavioural Medicine Centre, CIUSSS du Nord-de-l'Île-de-Montréal, Montreal, QC, Canada; Department of Health, Kinesiology, and Applied Physiology, Concordia University, Montreal, QC, Canada.
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16
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Atanasov V, Barreto N, Whittle J, Meurer J, Weston BW, Luo Q(E, Franchi L, Yuan AY, Zhang R, Black B. Understanding COVID-19 Vaccine Effectiveness against Death Using a Novel Measure: COVID Excess Mortality Percentage. Vaccines (Basel) 2023; 11:379. [PMID: 36851256 PMCID: PMC9959409 DOI: 10.3390/vaccines11020379] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 02/10/2023] Open
Abstract
COVID-19 vaccines have saved millions of lives; however, understanding the long-term effectiveness of these vaccines is imperative to developing recommendations for booster doses and other precautions. Comparisons of mortality rates between more and less vaccinated groups may be misleading due to selection bias, as these groups may differ in underlying health status. We studied all adult deaths during the period of 1 April 2021-30 June 2022 in Milwaukee County, Wisconsin, linked to vaccination records, and we used mortality from other natural causes to proxy for underlying health. We report relative COVID-19 mortality risk (RMR) for those vaccinated with two and three doses versus the unvaccinated, using a novel outcome measure that controls for selection effects. This measure, COVID Excess Mortality Percentage (CEMP), uses the non-COVID natural mortality rate (Non-COVID-NMR) as a measure of population risk of COVID mortality without vaccination. We validate this measure during the pre-vaccine period (Pearson correlation coefficient = 0.97) and demonstrate that selection effects are large, with non-COVID-NMRs for two-dose vaccinees often less than half those for the unvaccinated, and non-COVID NMRs often still lower for three-dose (booster) recipients. Progressive waning of two-dose effectiveness is observed, with an RMR of 10.6% for two-dose vaccinees aged 60+ versus the unvaccinated during April-June 2021, rising steadily to 36.2% during the Omicron period (January-June, 2022). A booster dose reduced RMR to 9.5% and 10.8% for ages 60+ during the two periods when boosters were available (October-December, 2021; January-June, 2022). Boosters thus provide important additional protection against mortality.
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Affiliation(s)
- Vladimir Atanasov
- Mason College of Business, William & Mary, Williamsburg, VA 23185, USA
| | - Natalia Barreto
- Department of Economics, University of Illinois Urbana-Champaign, Champaign, IL 61820, USA
| | - Jeff Whittle
- Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - John Meurer
- Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | | | - Qian (Eric) Luo
- Department of Health Policy and Management, George Washington University, Washington, DC 20052, USA
| | - Lorenzo Franchi
- Pritzker School of Law, Northwestern University, Chicago, IL 60611, USA
| | - Andy Ye Yuan
- Pritzker School of Law, Northwestern University, Chicago, IL 60611, USA
| | - Ruohao Zhang
- Department of Data Science, Centre College, Danville, KY 40422, USA
| | - Bernard Black
- Pritzker School of Law, Northwestern University, Chicago, IL 60611, USA
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17
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Maltezou HC, Basoulis D, Bonelis K, Gamaletsou MN, Giannouchos TV, Karantoni E, Karapanou Α, Kounouklas K, Livanou ME, Zotou M, Rapti V, Stamou P, Loulakis D, Souliotis K, Chini M, Panagopoulos P, Poulakou G, Syrigos KN, Hatzigeorgiou D, Sipsas NV. Effectiveness of full (booster) COVID-19 vaccination against severe outcomes and work absenteeism in hospitalized patients with COVID-19 during the Delta and Omicron waves in Greece. Vaccine 2023; 41:2343-2348. [PMID: 36740558 PMCID: PMC9892328 DOI: 10.1016/j.vaccine.2023.01.067] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 01/11/2023] [Accepted: 01/28/2023] [Indexed: 02/05/2023]
Abstract
AIM We estimated vaccine effectiveness (VE) of full (booster) vaccination against severe outcomes in hospitalized COVID-19 patients during the Delta and Omicron waves. METHODS The study extended from November 15, 2021 to April 17, 2022. Full vaccination was defined as a primary vaccination plus a booster ≥ 6 months later. RESULTS We studied 1138 patients (mean age: 66.6 years), of whom 826 (72.6 %) had > 1 comorbidity. Of the 1138 patients, 75 (6.6 %) were admitted to intensive care unit (ICU), 64 (5.6 %) received mechanical ventilation, and 172 (15.1 %) died. There were 386 (33.9 %) fully vaccinated, 172 (15.1 %) partially vaccinated, and 580 (51 %) unvaccinated patients. Unvaccinated patients were absent from work for longer periods compared to partially or fully vaccinated patients (mean absence of 20.1 days versus 12.3 and 17.3 days, respectively; p-value = 0.03). Compared to unvaccinated patients, fully vaccinated patients were less likely to be admitted to ICU [adjusted relative risk (ARR: 0.49; 95 % CI: 0.29-0.84)], mechanically ventilated (ARR: 0.43; 95 % CI: 0.23-0.80), and die (ARR: 0.57; 95 % CI: 0.42-0.78), while they were hospitalized for significantly shorter periods (ARR: 0.79; 95 % CI: 0.70-0.89). The adjusted full VE was 48.8 % (95 % CI: 42.7 %-54.9 %) against ICU admission, 55.4 % (95 % CI: 52.0 %-56.2 %) against mechanical ventilation, and 22.6 % (95 % CI: 7.4 %-34.8 %) against death. For patients with ≥ 3 comorbidities, VE was 56.2 % (95 % CI: 43.9 %-67.1 %) against ICU admission, 60.2 % (95 % CI: 53.7 %-65.4 %) against mechanical ventilation, and 43.9 % (95 % CI: 19.9 %-59.7 %) against death. CONCLUSIONS Full (booster) COVID-19 vaccination conferred protection against severe outcomes, prolonged hospitalization, and prolonged work absenteeism.
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Affiliation(s)
- Helena C. Maltezou
- Directorate of Research, Studies and Documentation, National Public Health Organization, Athens, Greece,Corresponding author at: at: Directorate of Research, Studies and Documentation, National Public Health Organization, 3-5 Agrafon Street, Athens 15123 Greece
| | - Dimitrios Basoulis
- Pathophysiology Department, Medical School, National and Kapodistrian University of Athens, Greece
| | - Konstantinos Bonelis
- Second Department of Internal Medicine, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Maria N. Gamaletsou
- Pathophysiology Department, Medical School, National and Kapodistrian University of Athens, Greece
| | - Theodoros V. Giannouchos
- Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Eleni Karantoni
- Second Clinic of Internal Medicine, COVID-19 Department, 251 Hellenic Air Force General Hospital, Athens, Greece
| | - Αmalia Karapanou
- Infection Control Committee, Laiko General Hospital, Athens, Greece
| | - Konstantinos Kounouklas
- Second Clinic of Internal Medicine, COVID-19 Department, 251 Hellenic Air Force General Hospital, Athens, Greece
| | - Maria Effrosyni Livanou
- Third Department of Internal Medicine and Laboratory, National and Kapodistrian University of Athens, School of Medicine, Sotiria General Hospital, Athens, Greece
| | - Maria Zotou
- Third Department of Internal Medicine and Infectious Diseases Unit, Korgialeneio-Benakeio Red Cross Hospital, Athens, Greece
| | - Vasiliki Rapti
- Third Department of Internal Medicine and Laboratory, National and Kapodistrian University of Athens, School of Medicine, Sotiria General Hospital, Athens, Greece
| | - Panagiota Stamou
- Second Clinic of Internal Medicine, COVID-19 Department, 251 Hellenic Air Force General Hospital, Athens, Greece
| | - Dimitrios Loulakis
- Third Department of Internal Medicine and Infectious Diseases Unit, Korgialeneio-Benakeio Red Cross Hospital, Athens, Greece
| | - Kyriakos Souliotis
- Faculty of Social and Political Sciences, University of Peloponnese, Corinth, Greece,Health Policy Institute, Athens, Greece
| | - Maria Chini
- Third Department of Internal Medicine and Infectious Diseases Unit, Korgialeneio-Benakeio Red Cross Hospital, Athens, Greece
| | - Periklis Panagopoulos
- Second Department of Internal Medicine, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Garyfalia Poulakou
- Third Department of Internal Medicine and Laboratory, National and Kapodistrian University of Athens, School of Medicine, Sotiria General Hospital, Athens, Greece
| | - Konstantinos N. Syrigos
- Third Department of Internal Medicine and Laboratory, National and Kapodistrian University of Athens, School of Medicine, Sotiria General Hospital, Athens, Greece
| | | | - Nikolaos V. Sipsas
- Pathophysiology Department, Medical School, National and Kapodistrian University of Athens, Greece
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18
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Timing of last COVID-19 vaccine dose and SARS-CoV-2 breakthrough infections in fully (boosted) vaccinated healthcare personnel. J Hosp Infect 2023; 132:46-51. [PMID: 36473554 PMCID: PMC9721165 DOI: 10.1016/j.jhin.2022.11.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/26/2022] [Accepted: 11/26/2022] [Indexed: 12/12/2022]
Abstract
AIM To estimate the incidence, timing and severity of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) breakthrough infections in fully vaccinated healthcare personnel (HCP). METHODS In total, 6496 fully vaccinated HCP were analysed prospectively from 15th November 2021 to 17th April 2022. Full coronavirus disease 2019 (COVID-19) vaccination was defined as a complete primary vaccination series followed by a booster dose at least 6 months later. RESULTS Overall, 1845 SARS-CoV-2 breakthrough infections occurred (28.4 episodes per 100 HCP), of which 1493 (80.9%) were COVID-19 cases and 352 (19.1%) were asymptomatic infections. Of the 1493 HCP with COVID-19, four were hospitalized for 3-6 days (hospitalization rate among HCP with COVID-19: 0.3%). No intubations or deaths occurred. SARS-CoV-2 breakthrough infections occurred at a mean of 16.2 weeks after the last vaccine dose. Multi-variable regression analyses showed that among the 1845 HCP with a breakthrough infection, the administration of a COVID-19 vaccine dose ≥16.2 weeks before the infection was associated with increased likelihood of developing COVID-19 rather than asymptomatic SARS-CoV-2 infection [odds ratio (OR) 1.58, 95% confidence interval (CI) 1.01-2.46; P=0.045] compared with administering a vaccine dose later. The likelihood of developing COVID-19 compared with asymptomatic infection increased by 7% weekly after the last COVID-19 vaccine dose (OR 1.07, 95% CI 1.03-1.11; P=0.001). CONCLUSION SARS-CoV-2 breakthrough infections are common among fully (boosted) vaccinated HCP. However, full COVID-19 vaccination offered considerable protection against hospitalization. These findings may contribute to defining the optimal timing for booster vaccinations. More efficient COVID-19 vaccines that will also confer protection against SARS-CoV-2 infection are needed urgently.
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19
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Considerations in Understanding Vaccine Effectiveness. Vaccines (Basel) 2022; 11:vaccines11010020. [PMID: 36679865 PMCID: PMC9864852 DOI: 10.3390/vaccines11010020] [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: 12/07/2022] [Revised: 12/20/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
Although vaccine effectiveness reports are essential to assessing policies on SARS-CoV-2 vaccination, several factors can affect our interpretation of the results. These include the waning of antibodies, the prevailing viral variants at the time of the study, and COVID-19 disease prevalence in the population. Disease prevalence significantly impacts absolute risk reduction and could skew expected efficacy when increased disease prevalence inflates the absolute risk reduction in the face of a constant relative risk reduction. These factors must be considered in the interpretation of vaccine effectiveness to better understand how vaccines can improve disease prevention among the population. We highlight the impact of various factors on vaccine effectiveness.
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20
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Laake I, Skodvin SN, Blix K, Caspersen IH, Gjessing HK, Juvet LK, Magnus P, Mjaaland S, Robertson AH, Starrfelt J, Trogstad L, Feiring B. Effectiveness of mRNA Booster Vaccination Against Mild, Moderate, and Severe COVID-19 Caused by the Omicron Variant in a Large, Population-Based, Norwegian Cohort. J Infect Dis 2022; 226:1924-1933. [PMID: 36259543 PMCID: PMC9620770 DOI: 10.1093/infdis/jiac419] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 10/18/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Understanding how booster vaccination can prevent moderate and severe illness without hospitalization is crucial to evaluate the full advantage of mRNA boosters. METHODS We followed 85 801 participants (aged 31-81 years) in 2 large population-based cohorts during the Omicron BA.1/2 wave. Information on home testing, PCR testing, and symptoms of coronavirus disease 2019 (COVID-19) was extracted from biweekly questionnaires covering the period 12 January 2022 to 7 April 2022. Vaccination status and data on previous SARS-CoV-2 infection were obtained from national registries. Cox regression was used to estimate the effectiveness of booster vaccination compared to receipt of 2-dose primary series >130 days previously. RESULTS The effectiveness of booster vaccination increased with increasing severity of COVID-19 and decreased with time since booster vaccination. The effectiveness against severe COVID-19 was reduced from 80.9% shortly after booster vaccination to 63.4% in the period >90 days after vaccination. There was hardly any effect against mild COVID-19. The effectiveness tended to be lower among subjects aged ≥60 years than those aged <50 years. CONCLUSIONS This is the first population-based study to evaluate booster effectiveness against self-reported mild, moderate, and severe COVID-19. Our findings contribute valuable information on duration of protection and thus timing of additional booster vaccinations.
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Affiliation(s)
- Ida Laake
- Correspondence: Ida Laake, PhD, Norwegian Institute of Public Health, PO Box 222 Skøyen, N-0213 Oslo, Norway ()
| | | | - Kristine Blix
- Department of Method Development and Analytics, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Håkon K Gjessing
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Lene K Juvet
- Department of Infection Control and Vaccines, Norwegian Institute of Public Health, Oslo, Norway
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Siri Mjaaland
- Department of Method Development and Analytics, Norwegian Institute of Public Health, Oslo, Norway
| | - Anna H Robertson
- Department of Method Development and Analytics, Norwegian Institute of Public Health, Oslo, Norway
| | - Jostein Starrfelt
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
| | - Lill Trogstad
- Department of Method Development and Analytics, Norwegian Institute of Public Health, Oslo, Norway
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21
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Ferdinands JM, Rao S, Dixon BE, Mitchell PK, DeSilva MB, Irving SA, Lewis N, Natarajan K, Stenehjem E, Grannis SJ, Han J, McEvoy C, Ong TC, Naleway AL, Reese SE, Embi PJ, Dascomb K, Klein NP, Griggs EP, Liao IC, Yang DH, Fadel WF, Grisel N, Goddard K, Patel P, Murthy K, Birch R, Valvi NR, Arndorfer J, Zerbo O, Dickerson M, Raiyani C, Williams J, Bozio CH, Blanton L, Link-Gelles R, Barron MA, Gaglani M, Thompson MG, Fireman B. Waning of vaccine effectiveness against moderate and severe covid-19 among adults in the US from the VISION network: test negative, case-control study. BMJ 2022; 379:e072141. [PMID: 36191948 PMCID: PMC9527398 DOI: 10.1136/bmj-2022-072141] [Citation(s) in RCA: 63] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
OBJECTIVE To estimate the effectiveness of mRNA vaccines against moderate and severe covid-19 in adults by time since second, third, or fourth doses, and by age and immunocompromised status. DESIGN Test negative case-control study. SETTING Hospitals, emergency departments, and urgent care clinics in 10 US states, 17 January 2021 to 12 July 2022. PARTICIPANTS 893 461 adults (≥18 years) admitted to one of 261 hospitals or to one of 272 emergency department or 119 urgent care centers for covid-like illness tested for SARS-CoV-2. MAIN OUTCOME MEASURES The main outcome was waning of vaccine effectiveness with BNT162b2 (Pfizer-BioNTech) or mRNA-1273 (Moderna) vaccine during the omicron and delta periods, and the period before delta was dominant using logistic regression conditioned on calendar week and geographic area while adjusting for age, race, ethnicity, local virus circulation, immunocompromised status, and likelihood of being vaccinated. RESULTS 45 903 people admitted to hospital with covid-19 (cases) were compared with 213 103 people with covid-like illness who tested negative for SARS-CoV-2 (controls), and 103 287 people admitted to emergency department or urgent care with covid-19 (cases) were compared with 531 168 people with covid-like illness who tested negative for SARS-CoV-2. In the omicron period, vaccine effectiveness against covid-19 requiring admission to hospital was 89% (95% confidence interval 88% to 90%) within two months after dose 3 but waned to 66% (63% to 68%) by four to five months. Vaccine effectiveness of three doses against emergency department or urgent care visits was 83% (82% to 84%) initially but waned to 46% (44% to 49%) by four to five months. Waning was evident in all subgroups, including young adults and individuals who were not immunocompromised; although waning was morein people who were immunocompromised. Vaccine effectiveness increased among most groups after a fourth dose in whom this booster was recommended. CONCLUSIONS Effectiveness of mRNA vaccines against moderate and severe covid-19 waned with time after vaccination. The findings support recommendations for a booster dose after a primary series and consideration of additional booster doses.
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Affiliation(s)
- Jill M Ferdinands
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, GA, USA
| | - Suchitra Rao
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Brian E Dixon
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA
- Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
| | | | | | - Stephanie A Irving
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Ned Lewis
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
- New York Presbyterian Hospital, New York, NY, USA
| | - Edward Stenehjem
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, UT, USA
| | - Shaun J Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jungmi Han
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Toan C Ong
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Allison L Naleway
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | | | | | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, UT, USA
| | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Eric P Griggs
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, GA, USA
| | | | | | - William F Fadel
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA
- Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
| | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, UT, USA
| | - Kristin Goddard
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Palak Patel
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, GA, USA
| | | | | | - Nimish R Valvi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA
| | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, UT, USA
| | - Ousseny Zerbo
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Monica Dickerson
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, GA, USA
| | | | - Jeremiah Williams
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, GA, USA
| | - Catherine H Bozio
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, GA, USA
| | - Lenee Blanton
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, GA, USA
| | - Ruth Link-Gelles
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, GA, USA
| | - Michelle A Barron
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Mark G Thompson
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, GA, USA
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
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