BNT162b2 Vaccine Effectiveness against Omicron in Children 5 to 11 Years of Age.

BNT162 Vaccine / therapeutic use COVID-19 / epidemiology Child Child, Preschool Humans Israel / epidemiology SARS-CoV-2 / drug effects Vaccine Efficacy / statistics & numerical data Vaccines, Synthetic / therapeutic use mRNA Vaccines / therapeutic use

Journal

The New England journal of medicine
ISSN: 1533-4406
Titre abrégé: N Engl J Med
Pays: United States
ID NLM: 0255562

Informations de publication

Date de publication:
21 07 2022
Historique:
pubmed: 30 6 2022
medline: 23 7 2022
entrez: 29 6 2022
Statut: ppublish

Résumé

Limited evidence is available on the real-world effectiveness of the BNT162b2 vaccine against coronavirus disease 2019 (Covid-19) and specifically against infection with the omicron variant among children 5 to 11 years of age. Using data from the largest health care organization in Israel, we identified a cohort of children 5 to 11 years of age who were vaccinated on or after November 23, 2021, and matched them with unvaccinated controls to estimate the vaccine effectiveness of BNT162b2 among newly vaccinated children during the omicron wave. Vaccine effectiveness against documented severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and symptomatic Covid-19 was estimated after the first and second vaccine doses. The cumulative incidence of each outcome in the two study groups through January 7, 2022, was estimated with the use of the Kaplan-Meier estimator, and vaccine effectiveness was calculated as 1 minus the risk ratio. Vaccine effectiveness was also estimated in age subgroups. Among 136,127 eligible children who had been vaccinated during the study period, 94,728 were matched with unvaccinated controls. The estimated vaccine effectiveness against documented infection was 17% (95% confidence interval [CI], 7 to 25) at 14 to 27 days after the first dose and 51% (95% CI, 39 to 61) at 7 to 21 days after the second dose. The absolute risk difference between the study groups at days 7 to 21 after the second dose was 1905 events per 100,000 persons (95% CI, 1294 to 2440) for documented infection and 599 events per 100,000 persons (95% CI, 296 to 897) for symptomatic Covid-19. The estimated vaccine effectiveness against symptomatic Covid-19 was 18% (95% CI, -2 to 34) at 14 to 27 days after the first dose and 48% (95% CI, 29 to 63) at 7 to 21 days after the second dose. We observed a trend toward higher vaccine effectiveness in the youngest age group (5 or 6 years of age) than in the oldest age group (10 or 11 years of age). Our findings suggest that as omicron was becoming the dominant variant, two doses of the BNT162b2 messenger RNA vaccine provided moderate protection against documented SARS-CoV-2 infection and symptomatic Covid-19 in children 5 to 11 years of age. (Funded by the European Union through the VERDI project and others.).

Sections du résumé

BACKGROUND
Limited evidence is available on the real-world effectiveness of the BNT162b2 vaccine against coronavirus disease 2019 (Covid-19) and specifically against infection with the omicron variant among children 5 to 11 years of age.
METHODS
Using data from the largest health care organization in Israel, we identified a cohort of children 5 to 11 years of age who were vaccinated on or after November 23, 2021, and matched them with unvaccinated controls to estimate the vaccine effectiveness of BNT162b2 among newly vaccinated children during the omicron wave. Vaccine effectiveness against documented severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and symptomatic Covid-19 was estimated after the first and second vaccine doses. The cumulative incidence of each outcome in the two study groups through January 7, 2022, was estimated with the use of the Kaplan-Meier estimator, and vaccine effectiveness was calculated as 1 minus the risk ratio. Vaccine effectiveness was also estimated in age subgroups.
RESULTS
Among 136,127 eligible children who had been vaccinated during the study period, 94,728 were matched with unvaccinated controls. The estimated vaccine effectiveness against documented infection was 17% (95% confidence interval [CI], 7 to 25) at 14 to 27 days after the first dose and 51% (95% CI, 39 to 61) at 7 to 21 days after the second dose. The absolute risk difference between the study groups at days 7 to 21 after the second dose was 1905 events per 100,000 persons (95% CI, 1294 to 2440) for documented infection and 599 events per 100,000 persons (95% CI, 296 to 897) for symptomatic Covid-19. The estimated vaccine effectiveness against symptomatic Covid-19 was 18% (95% CI, -2 to 34) at 14 to 27 days after the first dose and 48% (95% CI, 29 to 63) at 7 to 21 days after the second dose. We observed a trend toward higher vaccine effectiveness in the youngest age group (5 or 6 years of age) than in the oldest age group (10 or 11 years of age).
CONCLUSIONS
Our findings suggest that as omicron was becoming the dominant variant, two doses of the BNT162b2 messenger RNA vaccine provided moderate protection against documented SARS-CoV-2 infection and symptomatic Covid-19 in children 5 to 11 years of age. (Funded by the European Union through the VERDI project and others.).

Identifiants

DOI: 10.1056/NEJMoa2205011 PMID: 35767475 PMC: PMC9258754
pubmed: 35767475
doi: 10.1056/NEJMoa2205011
pmc: PMC9258754
doi:

Substances chimiques

Vaccines, Synthetic 0
mRNA Vaccines 0
BNT162 Vaccine N38TVC63NU

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

227-236

Subventions

Organisme : Medical Research Council
ID : MC_UU_00004/04
Pays : United Kingdom
Organisme : European Commission
ID : Horizon EU, the VERDI project, award #101045989
Organisme : UK Research and Innovation
ID : grant number MC_UU_00004/03

Informations de copyright

Copyright © 2022 Massachusetts Medical Society.

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Auteurs

Chandra J Cohen-Stavi (CJ)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).

Ori Magen (O)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).

Noam Barda (N)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).
ORCID: 0000-0002-3400-235X

Shlomit Yaron (S)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).

Alon Peretz (A)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).

Doron Netzer (D)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).

Carlo Giaquinto (C)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).

Ali Judd (A)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).

Leonard Leibovici (L)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).

Miguel A Hernán (MA)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).
ORCID: 0000-0003-1619-8456

Marc Lipsitch (M)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).
ORCID: 0000-0003-1504-9213

Ben Y Reis (BY)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).
ORCID: 0000-0001-9908-5523

Ran D Balicer (RD)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).

Noa Dagan (N)

From the Clalit Research Institute, Innovation Division (C.J.C.-S., O.M., R.D.B., N.D.), and the Community Medicine Division (S.Y., A.P., D.N.), Clalit Health Services, and the Faculty of Medicine, Tel-Aviv University (L.L.), Tel Aviv, the Research Authority, Rabin Medical Center, Petah-Tiqva (L.L.), the ARC (Accelerate Redesign Collaborate) Innovation Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat-Gan (N.B.), Software and Information Systems Engineering (N.B., N.D.), and the School of Public Health (R.D.B.), Ben Gurion University of the Negev, Be'er Sheva, and the School of Public Health, University of Haifa, Haifa (A.P.) - all in Israel; the Departments of Biomedical Informatics (N.B., B.Y.R., N.D.) and Pediatrics (B.Y.R.), Harvard Medical School, CAUSALab, Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration, Harvard Medical School and Clalit Research Institute (B.Y.R., R.D.B., N.D.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.Y.R.) - all in Boston; the Department of Women and Child Health, University of Padua, Padua, Italy (C.G.); and the Medical Research Council Clinical Trials Unit, University College London, London (A.J.).
ORCID: 0000-0001-8811-7825

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Classifications MeSH

questionsmedicales.fr › Facteurs biologiques › Antigènes › Vaccins synthétiques › Vaccins à base d'acide nucléique › Vaccins à ARNm › Vaccin BNT162 › BNT162b2 Vaccine Effectiveness against Omicron...
questionsmedicales.fr › Maladies de l'appareil respiratoire › Infections de l'appareil respiratoire › Pneumopathie infectieuse › Pneumopathie virale › COVID-19 › BNT162b2 Vaccine Effectiveness against Omicron...
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