Using drivers and transmission pathways to identify SARS-like coronavirus spillover risk hotspots

Simple item page
dc.creatorMuylaert, Renata L.
dc.creatorWilkinson, David A.
dc.creatorKingston, Tigga (TTU)
dc.creatorD’Odorico, Paolo
dc.creatorRulli, Maria Cristina
dc.creatorGalli, Nikolas
dc.creatorJohn, Reju Sam
dc.creatorAlviola, Phillip
dc.creatorHayman, David T.S.
dc.date.accessioned2023-11-14T15:53:03Z
dc.date.available2023-11-14T15:53:03Z
dc.date.issued2023
dc.description© 2023, The Author(s). cc-by
dc.description.abstractThe 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 (< 1%) from healthcare. Areas far from healthcare reveal healthcare access inequalities, especially Scenario 3, which includes wild mammals and not livestock as secondary hosts. China (N = 2) and Indonesia (N = 1) had clusters with the highest risk. Our findings can help stakeholders in land use planning, integrating healthcare implementation and One Health actions.
dc.identifier.citationMuylaert, R.L., Wilkinson, D.A., Kingston, T., D'Odorico, P., Rulli, M.C., Galli, N., John, R.S., Alviola, P., & Hayman, D.T.S.. 2023. Using drivers and transmission pathways to identify SARS-like coronavirus spillover risk hotspots. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-42627-2
dc.identifier.urihttps://doi.org/10.1038/s41467-023-42627-2
dc.identifier.urihttps://hdl.handle.net/2346/96667
dc.language.isoeng
dc.titleUsing drivers and transmission pathways to identify SARS-like coronavirus spillover risk hotspots
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Main article with TTU Libraries cover page.pdf
Size:
2.2 MB
Format:
Adobe Portable Document Format
Download

Collections

Faculty Research