학술논문
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.
Document Type
Academic Journal
Author
Thinphovong C; Faculty of Veterinary Technology, Kasetsart University, Bangkok, Thailand.; Nordstrom-Schuler E; Faculty of Veterinary Technology, Kasetsart University, Bangkok, Thailand.; Soisook P; Princess Maha Chakri Sirindhorn Natural History Museum, Prince of Songkla University, Songkla, Thailand.; Kritiyakan A; Faculty of Veterinary Technology, Kasetsart University, Bangkok, Thailand.; Chakngean R; Nanthaburi Nation Park, Thawangpha, Nan, Thailand.; Prapruti S; Protected Areas Regional Office 13 (Phrae), Phrae, Thailand.; Tanita M; Primary Care Unit (PCU), Saenthong, Thawangpha, Nan, Thailand.; Paladsing Y; Faculty of Veterinary Technology, Kasetsart University, Bangkok, Thailand.; Makaew P; Faculty of Veterinary Technology, Kasetsart University, Bangkok, Thailand.; Pimsai A; Princess Maha Chakri Sirindhorn Natural History Museum, Prince of Songkla University, Songkla, Thailand.; Samoh A; Princess Maha Chakri Sirindhorn Natural History Museum, Prince of Songkla University, Songkla, Thailand.; Mahuzier C; Institut d'Ecologie et des Sciences de l'Environnement de Paris (iEES Paris)-Centre de Recherche IRD, Montpellier, France.; Morand S; Faculty of Veterinary Technology, Kasetsart University, Bangkok, Thailand.; MIVEGEC, CNRS-IRD-MUSE, Montpellier Université, Montpellier, France.; Faculty of Tropical Medicine, Department of Helminthology, Mahidol University, Bangkok, Thailand.; Chaisiri K; Faculty of Tropical Medicine, Department of Helminthology, Mahidol University, Bangkok, Thailand.; Phimpraphai W; Faculty of Veterinary Medicine, Kasetsart University, Bangkok, Thailand.
Source
Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Subject
Language
English
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.
Competing Interests: The authors declare no competing interest.
(Copyright: © 2024 Thinphovong et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Competing Interests: The authors declare no competing interest.
(Copyright: © 2024 Thinphovong et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)