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Individual variation in susceptibility or exposure to SARS-CoV-2 lowers the herd immunity threshold.

Authors :
Gomes MGM
Ferreira MU
Corder RM
King JG
Souto-Maior C
Penha-Gonçalves C
Gonçalves G
Chikina M
Pegden W
Aguas R
Source :
Journal of theoretical biology [J Theor Biol] 2022 May 07; Vol. 540, pp. 111063. Date of Electronic Publication: 2022 Feb 18.
Publication Year :
2022

Abstract

Individual variation in susceptibility and exposure is subject to selection by natural infection, accelerating the acquisition of immunity, and reducing herd immunity thresholds and epidemic final sizes. This is a manifestation of a wider population phenomenon known as "frailty variation". Despite theoretical understanding, public health policies continue to be guided by mathematical models that leave out considerable variation and as a result inflate projected disease burdens and overestimate the impact of interventions. Here we focus on trajectories of the coronavirus disease (COVID-19) pandemic in England and Scotland until November 2021. We fit models to series of daily deaths and infer relevant epidemiological parameters, including coefficients of variation and effects of non-pharmaceutical interventions which we find in agreement with independent empirical estimates based on contact surveys. Our estimates are robust to whether the analysed data series encompass one or two pandemic waves and enable projections compatible with subsequent dynamics. We conclude that vaccination programmes may have contributed modestly to the acquisition of herd immunity in populations with high levels of pre-existing naturally acquired immunity, while being crucial to protect vulnerable individuals from severe outcomes as the virus becomes endemic.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1095-8541
Volume :
540
Database :
MEDLINE
Journal :
Journal of theoretical biology
Publication Type :
Academic Journal
Accession number :
35189135
Full Text :
https://doi.org/10.1016/j.jtbi.2022.111063