key: cord-0812010-nhyqyyi1
authors: Mandonnet, Emmanuel; Molina, Jean-Michel
title: Household COVID-19 Prevalence
date: 2020-05-31
journal: Clin Infect Dis
DOI: 10.1093/cid/ciaa688
sha: 8128773b965e85a6b9cfbffb6530bbbc6bb31b39
doc_id: 812010
cord_uid: nhyqyyi1

nan

A c c e p t e d M a n u s c r i p t Dear Editor, We read with the greatest interest the study of Rosenberg & al. about household covid-19 prevalence [1] . We found interesting that the secondary rate of infections, when excluding first-reported cases, was no more than 38 %. Intuitively, this rate might appear lower than expected, considering the high level of promiscuity in households and the absence of index patients quarantine. However, two other Chinese study reported the very same rates of infection among households [2, 3] . Moreover, a French study determined the seroprevalence among schoolmates in a college, which is also a situation at high risk of transmission. The seroprevalence rate was 41% [4] . Taken together, these results raise the possibility that some people may have an innate resistance against SARS-cov2 infection, hindering cell penetration and replication in target cells. Such a phenomenon has been demonstrated for other viruses. For HIV-1, about 1% of the Caucasian population shows inborn resistance to infection with CCR5-tropic HIV-1, thanks to a specific deletion in the CCR5 gene, the co-receptor of HIV-1 [5] .

We thus urge researchers and geneticists to assess whether some individuals could have innate resistance to SARS-cov2 infection. Such data would be essential to inform epidemiological models [6] that aim to predict the threshold of infected people required to reach herd immunity. Moreover, genome-wide association studies in "resistant" individuals could provide further insight into the mechanisms allowing the virus to replicate in humans, thus paving the way towards new treatment opportunities.

A c c e p t e d M a n u s c r i p t

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Homozygous Defect in HIV-1 Coreceptor Accounts for Resistance of Some Multiply-Exposed Individuals to HIV-1 Infection

Dynamic causal modelling of COVID-19