A protocol and a data-based prediction to investigate virus spillover at the wildlife interface in human-dominated and protected habitats in Thailand: The Spillover Interface project
Issued Date
2024-01-01
Resource Type
eISSN
19326203
Scopus ID
2-s2.0-85181546689
Pubmed ID
38166047
Journal Title
PLoS ONE
Volume
19
Issue
1 JANUARY
Rights Holder(s)
SCOPUS
Bibliographic Citation
PLoS ONE Vol.19 No.1 JANUARY (2024)
Suggested Citation
Thinphovong C., Nordstrom-Schuler E., Soisook P., Kritiyakan A., Chakngean R., Prapruti S., Tanita M., Paladsing Y., Makaew P., Pimsai A., Samoh A., Mahuzier C., Morand S., Chaisiri K., Phimpraphai W. A protocol and a data-based prediction to investigate virus spillover at the wildlife interface in human-dominated and protected habitats in Thailand: The Spillover Interface project. PLoS ONE Vol.19 No.1 JANUARY (2024). doi:10.1371/journal.pone.0294397 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/95834
Title
A protocol and a data-based prediction to investigate virus spillover at the wildlife interface in human-dominated and protected habitats in Thailand: The Spillover Interface project
Author's Affiliation
Corresponding Author(s)
Other Contributor(s)
Abstract
The Spillover Interface Project aims at assessing the encounter of wildlife, domestic animals, and humans along a landscape gradient from a protected area to a residential community, through areas of reforestation and agricultural land. Here, we present the protocols of the project that combine virus screening in humans, bats, rodents and dogs with camera trapping, land-use characterization, and network analyses. The project is taking place in the sub-district of Saen Thong (Nan Province, Thailand) in collaboration with local communities, the District Public Health Office, and Nanthaburi National Park. To formulate a predictive hypothesis for the Spillover Interface Project, we assess the wildlife diversity and their viral diversity that could be observed in Saen Thong through a data science analysis approach. Potential mammalian species are estimated using data from the International Union for Conservation of Nature (IUCN) and their associated viral diversity from a published open database. A network analysis approach is used to represent and quantify the transmission of the potential viruses hosted by the mammals present in Saen Thong, according to the IUCN. A total of 57 viruses are expected to be found and shared between 43 host species, including the domestic dog and the human species. By following the protocols presented here, the Spillover Interface Project will collect the data and samples needed to test this data-driven prediction.