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

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 frequen...

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Autores principales: Sánchez, Cecilia A., Li, Hongying, Phelps, Kendra L., Zambrana-Torrelio, Carlos, Wang, Lin-Fa, Zhou, Peng, Shi, Zheng-Li, Olival, Kevin J., Daszak, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363439/
https://www.ncbi.nlm.nih.gov/pubmed/35945197
http://dx.doi.org/10.1038/s41467-022-31860-w
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author Sánchez, Cecilia A.
Li, Hongying
Phelps, Kendra L.
Zambrana-Torrelio, Carlos
Wang, Lin-Fa
Zhou, Peng
Shi, Zheng-Li
Olival, Kevin J.
Daszak, Peter
author_facet Sánchez, Cecilia A.
Li, Hongying
Phelps, Kendra L.
Zambrana-Torrelio, Carlos
Wang, Lin-Fa
Zhou, Peng
Shi, Zheng-Li
Olival, Kevin J.
Daszak, Peter
author_sort Sánchez, Cecilia A.
collection PubMed
description 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.
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spelling pubmed-93634392022-08-11 A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia Sánchez, Cecilia A. Li, Hongying Phelps, Kendra L. Zambrana-Torrelio, Carlos Wang, Lin-Fa Zhou, Peng Shi, Zheng-Li Olival, Kevin J. Daszak, Peter Nat Commun Article 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. Nature Publishing Group UK 2022-08-09 /pmc/articles/PMC9363439/ /pubmed/35945197 http://dx.doi.org/10.1038/s41467-022-31860-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Sánchez, Cecilia A.
Li, Hongying
Phelps, Kendra L.
Zambrana-Torrelio, Carlos
Wang, Lin-Fa
Zhou, Peng
Shi, Zheng-Li
Olival, Kevin J.
Daszak, Peter
A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia
title A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia
title_full A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia
title_fullStr A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia
title_full_unstemmed A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia
title_short A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia
title_sort strategy to assess spillover risk of bat sars-related coronaviruses in southeast asia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363439/
https://www.ncbi.nlm.nih.gov/pubmed/35945197
http://dx.doi.org/10.1038/s41467-022-31860-w
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