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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-9363439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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