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


ABSTRACT: As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spreads, the susceptible subpopulation is depleted causing the incidence of new cases to decline. Variation in individual susceptibility or exposure to infection exacerbates this effect. Individuals that are more susceptible or more exposed tend to be infected earlier, depleting the susceptible subpopulation of those who are at higher risk of infection. This selective depletion of susceptibles intensifies the deceleration in incidence. Eventually, susceptible numbers become low enough to prevent epidemic growth or, in other words, the herd immunity threshold (HIT) is reached. Although estimates vary, simple calculations suggest that herd immunity to SARS-CoV-2 requires 60-70% of the population to be immune. By fitting epidemiological models that allow for heterogeneity to SARS-CoV-2 outbreaks across the globe, we show that variation in susceptibility or exposure to infection reduces these estimates. Accurate measurements of heterogeneity are therefore of paramount importance in controlling the COVID-19 pandemic.

SUBMITTER: Gomes MGM 

PROVIDER: S-EPMC7239079 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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

Gomes M Gabriela M MGM   Ferreira Marcelo U MU   Corder Rodrigo M RM   King Jessica G JG   Souto-Maior Caetano C   Penha-Gonçalves Carlos C   Gonçalves Guilherme G   Chikina Maria M   Pegden Wesley W   Aguas Ricardo R  

medRxiv : the preprint server for health sciences 20220214


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 t  ...[more]

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