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A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia
by
Olival, Kevin J.
, Li, Hongying
, Phelps, Kendra L.
, Daszak, Peter
, Sánchez, Cecilia A.
, Zambrana-Torrelio, Carlos
, Shi, Zheng-Li
, Wang, Lin-Fa
, Zhou, Peng
in
631/158/1144
/ 692/699/255/2514
/ 704/158/1469
/ Animals
/ Antibodies
/ Asia, Southeastern - epidemiology
/ Chiroptera
/ Coronaviridae
/ Coronaviruses
/ COVID-19
/ Ecological adaptation
/ Epidemiology
/ Evolution, Molecular
/ Geographical distribution
/ Geography
/ Global health
/ Human populations
/ Humanities and Social Sciences
/ Humans
/ multidisciplinary
/ Phylogeny
/ Prevention programs
/ Probabilistic risk assessment
/ Public health
/ Risk assessment
/ Science
/ Science (multidisciplinary)
/ Seroepidemiologic Studies
/ Serology
/ Severe acute respiratory syndrome
/ Severe acute respiratory syndrome-related coronavirus
/ Viral diseases
2022
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A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia
by
Olival, Kevin J.
, Li, Hongying
, Phelps, Kendra L.
, Daszak, Peter
, Sánchez, Cecilia A.
, Zambrana-Torrelio, Carlos
, Shi, Zheng-Li
, Wang, Lin-Fa
, Zhou, Peng
in
631/158/1144
/ 692/699/255/2514
/ 704/158/1469
/ Animals
/ Antibodies
/ Asia, Southeastern - epidemiology
/ Chiroptera
/ Coronaviridae
/ Coronaviruses
/ COVID-19
/ Ecological adaptation
/ Epidemiology
/ Evolution, Molecular
/ Geographical distribution
/ Geography
/ Global health
/ Human populations
/ Humanities and Social Sciences
/ Humans
/ multidisciplinary
/ Phylogeny
/ Prevention programs
/ Probabilistic risk assessment
/ Public health
/ Risk assessment
/ Science
/ Science (multidisciplinary)
/ Seroepidemiologic Studies
/ Serology
/ Severe acute respiratory syndrome
/ Severe acute respiratory syndrome-related coronavirus
/ Viral diseases
2022
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Do you wish to request the book?
A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia
by
Olival, Kevin J.
, Li, Hongying
, Phelps, Kendra L.
, Daszak, Peter
, Sánchez, Cecilia A.
, Zambrana-Torrelio, Carlos
, Shi, Zheng-Li
, Wang, Lin-Fa
, Zhou, Peng
in
631/158/1144
/ 692/699/255/2514
/ 704/158/1469
/ Animals
/ Antibodies
/ Asia, Southeastern - epidemiology
/ Chiroptera
/ Coronaviridae
/ Coronaviruses
/ COVID-19
/ Ecological adaptation
/ Epidemiology
/ Evolution, Molecular
/ Geographical distribution
/ Geography
/ Global health
/ Human populations
/ Humanities and Social Sciences
/ Humans
/ multidisciplinary
/ Phylogeny
/ Prevention programs
/ Probabilistic risk assessment
/ Public health
/ Risk assessment
/ Science
/ Science (multidisciplinary)
/ Seroepidemiologic Studies
/ Serology
/ Severe acute respiratory syndrome
/ Severe acute respiratory syndrome-related coronavirus
/ Viral diseases
2022
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A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia
Journal Article
A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia
2022
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Overview
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.
Coronaviruses may spill over from bats to humans. This study uses epidemiological data, species distribution models, and probabilistic risk assessment to map overlap among people and SARSr-CoV bat hosts and estimate how many people are infected with bat-origin SARSr-CoVs in Southeast Asia annually.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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