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

Cecilia A. Sánchez, Hongying Li, Kendra L. Phelps, Carlos Zambrana-Torrelio, Lin Fa Wang, Peng Zhou, Zheng Li Shi, Kevin J. Olival, Peter Daszak

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

Emerging 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.

Original languageEnglish (US)
Article number4380
JournalNature communications
Volume13
Issue number1
DOIs
StatePublished - Dec 2022
Externally publishedYes

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Publisher Copyright:
© 2022, The Author(s).

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