Population Immunity to Pre-Omicron and Omicron Severe Acute Respiratory Syndrome Coronavirus 2 Variants in US States and Counties Through 1 December 2021.


Journal

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
ISSN: 1537-6591
Titre abrégé: Clin Infect Dis
Pays: United States
ID NLM: 9203213

Informations de publication

Date de publication:
08 02 2023
Historique:
received: 11 03 2022
pubmed: 20 6 2022
medline: 11 2 2023
entrez: 19 6 2022
Statut: ppublish

Résumé

Both severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and coronavirus disease 2019 (COVID-19) vaccination contribute to population-level immunity against SARS-CoV-2. This study estimated the immunological exposure and effective protection against future SARS-CoV-2 infection in each US state and county over 2020-2021 and how this changed with the introduction of the Omicron variant. We used a Bayesian model to synthesize estimates of daily SARS-CoV-2 infections, vaccination data and estimates of the relative rates of vaccination conditional on infection status to estimate the fraction of the population with (1) immunological exposure to SARS-CoV-2 (ever infected with SARS-CoV-2 and/or received ≥1 doses of a COVID-19 vaccine), (2) effective protection against infection, and (3) effective protection against severe disease, for each US state and county from 1 January 2020 to 1 December 2021. The estimated percentage of the US population with a history of SARS-CoV-2 infection or vaccination as of 1 December 2021 was 88.2% (95% credible interval [CrI], 83.6%-93.5%). Accounting for waning and immune escape, effective protection against the Omicron variant on 1 December 2021 was 21.8% (95% CrI, 20.7%-23.4%) nationally and ranged between 14.4% (13.2%-15.8%; West Virginia) and 26.4% (25.3%-27.8%; Colorado). Effective protection against severe disease from Omicron was 61.2% (95% CrI, 59.1%-64.0%) nationally and ranged between 53.0% (47.3%-60.0%; Vermont) and 65.8% (64.9%-66.7%; Colorado). While more than four-fifths of the US population had prior immunological exposure to SARS-CoV-2 via vaccination or infection on 1 December 2021, only a fifth of the population was estimated to have effective protection against infection with the immune-evading Omicron variant.

Sections du résumé

BACKGROUND
Both severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and coronavirus disease 2019 (COVID-19) vaccination contribute to population-level immunity against SARS-CoV-2. This study estimated the immunological exposure and effective protection against future SARS-CoV-2 infection in each US state and county over 2020-2021 and how this changed with the introduction of the Omicron variant.
METHODS
We used a Bayesian model to synthesize estimates of daily SARS-CoV-2 infections, vaccination data and estimates of the relative rates of vaccination conditional on infection status to estimate the fraction of the population with (1) immunological exposure to SARS-CoV-2 (ever infected with SARS-CoV-2 and/or received ≥1 doses of a COVID-19 vaccine), (2) effective protection against infection, and (3) effective protection against severe disease, for each US state and county from 1 January 2020 to 1 December 2021.
RESULTS
The estimated percentage of the US population with a history of SARS-CoV-2 infection or vaccination as of 1 December 2021 was 88.2% (95% credible interval [CrI], 83.6%-93.5%). Accounting for waning and immune escape, effective protection against the Omicron variant on 1 December 2021 was 21.8% (95% CrI, 20.7%-23.4%) nationally and ranged between 14.4% (13.2%-15.8%; West Virginia) and 26.4% (25.3%-27.8%; Colorado). Effective protection against severe disease from Omicron was 61.2% (95% CrI, 59.1%-64.0%) nationally and ranged between 53.0% (47.3%-60.0%; Vermont) and 65.8% (64.9%-66.7%; Colorado).
CONCLUSIONS
While more than four-fifths of the US population had prior immunological exposure to SARS-CoV-2 via vaccination or infection on 1 December 2021, only a fifth of the population was estimated to have effective protection against infection with the immune-evading Omicron variant.

Identifiants

pubmed: 35717642
pii: 6611479
doi: 10.1093/cid/ciac438
pmc: PMC9214178
doi:

Substances chimiques

COVID-19 Vaccines 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e350-e359

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI112970
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI137093
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI146555
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

Déclaration de conflit d'intérêts

Potential conflicts of interest . M. H. C. reports support for attending meetings and/or travel from the World Health Organization Global Task Force on TB Impact Measurement. V. E. P. reports grants to her institution, unrelated to this work, from the Bill & Melinda Gates Foundation, the Centers for Disease Control and Prevention, Gavi, the Vaccine Alliance, and the National Institute of Allergy and Infectious Diseases, National Institutes of Health; is an unpaid member of the World Health Organization’s Immunization and Vaccines Related Implementation Research Advisory Committee; and has received reimbursement from Merck and Pfizer for travel expenses to Scientific Input Engagements unrelated to the current work (<$500). N. A. S. reports grants or contracts, unrelated to the current work, from the Centers for Disease Control and Prevention and the National Institutes of Health. N. A. M. reports grants or contracts to their institution, unrelated to the current work from Bill & Melinda Gates Foundation, the European Commission, the World Health Organization, and USAID; consulting fees paid to the author from the World Health Organization and the Global Fund to Fight AIDS TB and Malaria; and support for attending meetings and/or travel from the Bill & Melinda Gates Foundation. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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Auteurs

Fayette Klaassen (F)

Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

Melanie H Chitwood (MH)

Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, USA.

Ted Cohen (T)

Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, USA.

Virginia E Pitzer (VE)

Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, USA.

Marcus Russi (M)

Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, USA.

Nicole A Swartwood (NA)

Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

Joshua A Salomon (JA)

Department of Health Policy, Stanford University School of Medicine, Stanford, California, USA.

Nicolas A Menzies (NA)

Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

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Classifications MeSH