A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia

Author:

Sánchez Cecilia A.ORCID,Li HongyingORCID,Phelps Kendra L.ORCID,Zambrana-Torrelio CarlosORCID,Wang Lin-FaORCID,Zhou Peng,Shi Zheng-LiORCID,Olival Kevin J.ORCID,Daszak PeterORCID

Abstract

AbstractEmerging diseases caused by coronaviruses of likely bat origin (e.g., SARS, MERS, SADS, COVID-19) have disrupted global health and economies for two decades. Evidence suggests that some bat SARS-related coronaviruses (SARSr-CoVs) could infect people directly, and that their spillover is more frequent than previously recognized. Each zoonotic spillover of a novel virus represents an opportunity for evolutionary adaptation and further spread; therefore, quantifying the extent of this spillover may help target prevention programs. We derive current range distributions for known bat SARSr-CoV hosts and quantify their overlap with human populations. We then use probabilistic risk assessment and data on human-bat contact, human viral seroprevalence, and antibody duration to estimate that a median of 66,280 people (95% CI: 65,351–67,131) are infected with SARSr-CoVs annually in Southeast Asia. These data on the geography and scale of spillover can be used to target surveillance and prevention programs for potential future bat-CoV emergence.

Funder

United States Department of Defense | Defense Threat Reduction Agency

MOH | National Medical Research Council

Ministry of Education - Singapore

U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases

National Research Foundation Singapore

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary

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