Spatial prediction of wild boar distribution in Thailand applications for African swine fever prevention and control
Issued Date
2025-12-01
Resource Type
eISSN
20452322
Scopus ID
2-s2.0-105000745961
Journal Title
Scientific Reports
Volume
15
Issue
1
Rights Holder(s)
SCOPUS
Bibliographic Citation
Scientific Reports Vol.15 No.1 (2025)
Suggested Citation
Thanapongtharm W., Wiratsudakul A., Gilbert M., Chamsai T., Pabutta C., Wiriyarat W., Oh Y., Jayme S., Songsaeng N., Maneekan K., Yano T., Suwanpakdee S. Spatial prediction of wild boar distribution in Thailand applications for African swine fever prevention and control. Scientific Reports Vol.15 No.1 (2025). doi:10.1038/s41598-025-94922-1 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/108490
Title
Spatial prediction of wild boar distribution in Thailand applications for African swine fever prevention and control
Corresponding Author(s)
Other Contributor(s)
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.