COVID-19 Antibody Tests: A Valuable Public Health Tool with Limited Relevance to Individuals.


Journal

Trends in microbiology
ISSN: 1878-4380
Titre abrégé: Trends Microbiol
Pays: England
ID NLM: 9310916

Informations de publication

Date de publication:
03 2021
Historique:
received: 31 07 2020
revised: 30 10 2020
accepted: 03 11 2020
pubmed: 26 11 2020
medline: 9 3 2021
entrez: 25 11 2020
Statut: ppublish

Résumé

Antibody tests for detecting past infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have many uses for public health decision making, but demand has largely come from individual consumers. This review focuses on the individual relevance of antibody tests: their accuracy in detecting prior infection, what past SARS-CoV-2 infection can currently infer about future immunity or possible medical sequelae, and the potential future importance of antibody tests for vaccine selection and medical screening. Given uncertainty about the antibody tests (quality, accuracy level, positive predictive value) and what those tests might indicate immunologically (durability of antibodies and necessity for protection from reinfection), seropositive test results should not be used to inform individual decision making, and antibody testing should remain a tool of public health at this time.

Identifiants

pubmed: 33234439
pii: S0966-842X(20)30280-8
doi: 10.1016/j.tim.2020.11.002
pmc: PMC7836413
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

214-223

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Auteurs

Rachel West (R)

Johns Hopkins Center for Health Security, Baltimore, MD, USA.

Amanda Kobokovich (A)

Johns Hopkins Center for Health Security, Baltimore, MD, USA.

Nancy Connell (N)

Johns Hopkins Center for Health Security, Baltimore, MD, USA.

Gigi Kwik Gronvall (GK)

Johns Hopkins Center for Health Security, Baltimore, MD, USA. Electronic address: ggronvall@jhu.edu.

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Classifications MeSH