Spatial prediction of wild boar distribution in Thailand applications for African swine fever prevention and control

African swine fever (ASF) has spread to many Southeast Asian countries, affecting domestic pig farms and wild boars. This is especially prevalent in areas where human settlements, domestic animals, and wildlife intersect. Our study suggests using the Random Forest (RF) technique to predict the presence or absence of wild boars and estimate their population density in a specified area. We suggest using data from the Spatial Monitoring and Reporting Tool (SMART) to estimate the wild boar population in Southeast Asian countries, particularly in mainland Southeast Asia. Our findings indicate a relatively high abundance of free-ranging wild boars in protected areas of northwest Thailand, where there is a significant interface between domestic pig farms and wild boars bordering Myanmar. Wild boars were also observed in the northern region, bordering Lao PDR, and in the central and southern regions of Thailand. These findings highlight the need for ASF surveillance in border areas. The study also found that the presence of wild boars is linked to deep forest cover, elevation, and distance to water bodies, in contrast, a high density of human population, rainfed cropland, and irrigated cropland were negatively associated. These results are valuable for planning risk mitigation strategies against ASF infection in wild boars and domestic pigs in Thailand and Southeast Asia for transboundary disease surveillance.

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Publication Details

Journal
Scientific Reports
Published
2025-03-22
DOI
https://doi.org/10.1038/s41598-025-94922-1
Citations
3
Primary Topic
Animal Disease Management and Epidemiology
Type
article
Field-Weighted Citation Impact
5.71

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article

Spatial prediction of wild boar distribution in Thailand applications for African swine fever prevention and control

Sarin Suwanpakdee, Sarah I. Jayme, Witthawat Wiriyarat, Marius Gilbert et al.
3 citations
Scientific Reports
Animal Disease Management and Epidemiology
5.71
article

Spatial prediction of wild boar distribution in Thailand applications for African swine fever prevention and control

Sarin Suwanpakdee, Sarah I. Jayme, Witthawat Wiriyarat, Marius Gilbert, Weerapong Thanapongtharm, Anuwat Wiratsudakul, Yooni Oh, Terdsak Yano, Tatiyanuch Chamsai, Choenkwan Pabutta, Komsan Maneekan, Neramit Songsaeng
article en
3 citations

Abstract

African swine fever (ASF) has spread to many Southeast Asian countries, affecting domestic pig farms and wild boars. This is especially prevalent in areas where human settlements, domestic animals, and wildlife intersect. Our study suggests using the Random Forest (RF) technique to predict the presence or absence of wild boars and estimate their population density in a specified area. We suggest using data from the Spatial Monitoring and Reporting Tool (SMART) to estimate the wild boar population in Southeast Asian countries, particularly in mainland Southeast Asia. Our findings indicate a relatively high abundance of free-ranging wild boars in protected areas of northwest Thailand, where there is a significant interface between domestic pig farms and wild boars bordering Myanmar. Wild boars were also observed in the northern region, bordering Lao PDR, and in the central and southern regions of Thailand. These findings highlight the need for ASF surveillance in border areas. The study also found that the presence of wild boars is linked to deep forest cover, elevation, and distance to water bodies, in contrast, a high density of human population, rainfed cropland, and irrigated cropland were negatively associated. These results are valuable for planning risk mitigation strategies against ASF infection in wild boars and domestic pigs in Thailand and Southeast Asia for transboundary disease surveillance.

Scientific ReportsVol. 15(1)
Université Libre de Bruxelles (BE), Fund for Scientific Research (BE), Mahidol University (TH), Department of National Parks Wildlife and Plant Conservation (TH), UNICEF East Asia and Pacific Regional Office (TH), Department of Livestock Development (TH), Chiang Mai University (TH)
U.S. Department of Agriculture, Wildlife Conservation Society, Kasetsart University, Department of National Parks, Wildlife and Plant Conservation
Zero hunger
Openalex Percentile: Top 5%
Animal Disease Management and Epidemiology
5.71
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