Using drivers and transmission pathways to identify SARS-like coronavirus spillover risk hotspots
Overview & Synopsis
The emergence of SARS-like coronaviruses is a multi-stage process from wildlife reservoirs to people. Here we characterize multiple drivers—landscape change, host distribution, and human exposure—associated with the risk of spillover of zoonotic SARS-like coronaviruses to help inform surveillance and mitigation activities. We consider direct and indirect transmission pathways by modeling four scenarios with livestock and mammalian wildlife as potential and known reservoirs before examining how access to healthcare varies within clusters and scenarios. We found 19 clusters with differing risk factor contributions within a single country (N = 9) or transboundary (N = 10). High-risk areas were mainly closer (11-20%) rather than far (
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Document Information
| Document Title | Using drivers and transmission pathways to identify SARS-like coronavirus spillover risk hotspots |
|---|---|
| Author / Organization | Renata L. Muylaert, David Wilkinson, Tigga Kingston, Paolo d'Odorico, Maria Cristina Rulli, Nikolas Galli, Reju Sam John, Phillip Alviola, David T.S. Hayman |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2023 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-208076 |
| Original Source Link | Visit Source Page on hal.science » |