Insights into household transmission of SARS-CoV-2 from a population-based serological survey

Qifang Bi; Justin Lessler; Isabella Eckerle; Stephen A. Lauer; Laurent Kaiser; Nicolas Vuilleumier; Derek A. T. Cummings; Antoine Flahault; Dusan Petrovic; Idris Guessous; Silvia Stringhini; Andrew S. Azman; SEROCoV-POP Study Group

doi:10.1038/s41467-021-23733-5

Nature Communications (Jun 2021)

Insights into household transmission of SARS-CoV-2 from a population-based serological survey

Qifang Bi,
Justin Lessler,
Isabella Eckerle,
Stephen A. Lauer,
Laurent Kaiser,
Nicolas Vuilleumier,
Derek A. T. Cummings,
Antoine Flahault,
Dusan Petrovic,
Idris Guessous,
Silvia Stringhini,
Andrew S. Azman,
SEROCoV-POP Study Group

Affiliations

Qifang Bi: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
Justin Lessler: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
Isabella Eckerle: Geneva Center for Emerging Viral Diseases and Laboratory of Virology, Geneva University Hospitals
Stephen A. Lauer: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
Laurent Kaiser: Geneva Center for Emerging Viral Diseases and Laboratory of Virology, Geneva University Hospitals
Nicolas Vuilleumier: Department of Medicine, Faculty of Medicine, University of Geneva
Derek A. T. Cummings: Department of Biology, University of Florida
Antoine Flahault: Division of Tropical and Humanitarian Medicine, Geneva University Hospitals
Dusan Petrovic: Division of Primary Care Medicine, Geneva University Hospitals
Idris Guessous: Department of Health and Community Medicine, Faculty of Medicine, University of Geneva
Silvia Stringhini: Department of Health and Community Medicine, Faculty of Medicine, University of Geneva
Andrew S. Azman: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
SEROCoV-POP Study Group

DOI: https://doi.org/10.1038/s41467-021-23733-5
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 8

Abstract

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Household-based studies can provide insights into SARS-CoV-2 transmission. Here, the authors fit transmission models to serological data from Geneva, Switzerland, and estimate that the risk of infection from single household exposure (17.3%) was higher than for extra-household exposure (5.1%).

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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