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SARS-CoV-2 antibodies protect against reinfection for at least 6 months in a multicentre seroepidemiological workplace cohort

SARS-CoV-2 antibodies protect against reinfection for at least 6 months in a multicentre seroepidemiological workplace cohort
SARS-CoV-2 antibodies protect against reinfection for at least 6 months in a multicentre seroepidemiological workplace cohort
Identifying the potential for Severe Acute Respiratory Syndrome : Coronavirus 2 (SARS-CoV-2) reinfection is crucial for understanding possible long-term epidemic dynamics. We analysed longitudinal PCR and serological testing data from a prospective cohort of 4,411 United States employees in 4 states between April 2020 and February 2021. We conducted a multivariable logistic regression investigating the association between baseline serological status and subsequent PCR test result in order to calculate an odds ratio for reinfection. We estimated an odds ratio for reinfection ranging from 0.14 (95% CI: 0.019 to 0.63) to 0.28 (95% CI: 0.05 to 1.1), implying that the presence of SARS-CoV-2 antibodies at baseline is associated with around 72% to 86% reduced odds of a subsequent PCR positive test based on our point estimates. This suggests that primary infection with SARS-CoV-2 provides protection against reinfection in the majority of individuals, at least over a 6-month time period. We also highlight 2 major sources of bias and uncertainty to be considered when estimating the relative risk of reinfection, confounders, and the choice of baseline time point and show how to account for both in reinfection analysis.
1544-9173
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Eggo, Rosalind M.
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Liu, Yang
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Waites, William
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CMMID COVID-19 Working Group
the SpaceX COVID-19 Cohort Collaborative
Finch, Emilie
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Lowe, Rachel
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Fischinger, Stephanie
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Aubin, Michael de St
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Siddiqui, Sameed M.
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Rhee, Justin
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Beger, Samuel
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Hu, Yiyuan
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Mormann, Benjamin
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Hasdianda, Mohammad A.
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Musk, Elon R.
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Menon, Anil S.
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Nilles, Eric J.
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Kucharski, Adam J.
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Krauer, Fabienne
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Davies, Nicholas G.
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Jit, Mark
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Endo, Akira
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Brady, Oliver
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Foss, Anna M.
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Chan, Yung Wai Desmond
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Jombart, Thibaut
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van Zandvoort, Kevin
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Eggo, Rosalind M.
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Liu, Yang
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Knight, Gwenan M.
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Pearson, Carl A.B.
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Abbas, Kaja
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Atkins, Katherine E.
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Clifford, Samuel
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Koltai, Mihaly
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Jafari, Yalda
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Tully, Damien C.
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Jarvis, Christopher I.
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O'Reilly, Kathleen
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Bosse, Nikos I.
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Waites, William
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Finch, Emilie, Lowe, Rachel, Fischinger, Stephanie, Aubin, Michael de St, Siddiqui, Sameed M., Dayal, Diana, Loesche, Michael A., Rhee, Justin, Beger, Samuel, Hu, Yiyuan, Gluck, Matthew J., Mormann, Benjamin, Hasdianda, Mohammad A., Musk, Elon R., Alter, Galit, Menon, Anil S., Nilles, Eric J. and Kucharski, Adam J. , CMMID COVID-19 Working Group and the SpaceX COVID-19 Cohort Collaborative (2022) SARS-CoV-2 antibodies protect against reinfection for at least 6 months in a multicentre seroepidemiological workplace cohort. PLoS Biology, 20 (2), [e3001531]. (doi:10.1371/journal.pbio.3001531).

Record type: Article

Abstract

Identifying the potential for Severe Acute Respiratory Syndrome : Coronavirus 2 (SARS-CoV-2) reinfection is crucial for understanding possible long-term epidemic dynamics. We analysed longitudinal PCR and serological testing data from a prospective cohort of 4,411 United States employees in 4 states between April 2020 and February 2021. We conducted a multivariable logistic regression investigating the association between baseline serological status and subsequent PCR test result in order to calculate an odds ratio for reinfection. We estimated an odds ratio for reinfection ranging from 0.14 (95% CI: 0.019 to 0.63) to 0.28 (95% CI: 0.05 to 1.1), implying that the presence of SARS-CoV-2 antibodies at baseline is associated with around 72% to 86% reduced odds of a subsequent PCR positive test based on our point estimates. This suggests that primary infection with SARS-CoV-2 provides protection against reinfection in the majority of individuals, at least over a 6-month time period. We also highlight 2 major sources of bias and uncertainty to be considered when estimating the relative risk of reinfection, confounders, and the choice of baseline time point and show how to account for both in reinfection analysis.

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Accepted/In Press date: 7 January 2022
Published date: 10 February 2022

Identifiers

Local EPrints ID: 500157
URI: http://eprints.soton.ac.uk/id/eprint/500157
ISSN: 1544-9173
PURE UUID: 1b12223b-a12f-4ceb-a52d-0df3df9e474f
ORCID for William Waites: ORCID iD orcid.org/0000-0002-7759-6805

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Date deposited: 22 Apr 2025 16:39
Last modified: 22 Aug 2025 02:43

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Contributors

Author: Emilie Finch
Author: Rachel Lowe
Author: Stephanie Fischinger
Author: Michael de St Aubin
Author: Sameed M. Siddiqui
Author: Diana Dayal
Author: Michael A. Loesche
Author: Justin Rhee
Author: Samuel Beger
Author: Yiyuan Hu
Author: Matthew J. Gluck
Author: Benjamin Mormann
Author: Mohammad A. Hasdianda
Author: Elon R. Musk
Author: Galit Alter
Author: Anil S. Menon
Author: Eric J. Nilles
Author: Adam J. Kucharski
Author: Jiayao Lei
Author: Sebastian Funk
Author: Fiona Yueqian Sun
Author: Amy Gimma
Author: Emily S. Nightingale
Author: Graham Medley
Author: Sam Abbott
Author: Fabienne Krauer
Author: Nicholas G. Davies
Author: Mark Jit
Author: Akira Endo
Author: Oliver Brady
Author: Anna M. Foss
Author: Yung Wai Desmond Chan
Author: Thibaut Jombart
Author: Kevin van Zandvoort
Author: Rosalind M. Eggo
Author: Yang Liu
Author: Gwenan M. Knight
Author: Carl A.B. Pearson
Author: Kaja Abbas
Author: Katherine E. Atkins
Author: Samuel Clifford
Author: Mihaly Koltai
Author: Yalda Jafari
Author: Damien C. Tully
Author: Christopher I. Jarvis
Author: Kathleen O'Reilly
Author: Nikos I. Bosse
Author: William Waites ORCID iD
Corporate Author: CMMID COVID-19 Working Group
Corporate Author: the SpaceX COVID-19 Cohort Collaborative

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