Risk Mapping of African Swine Fever in Domestic Pigs and Wild Boars to Enhance Management and Surveillance in Asia
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2025
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Wiley
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Kawaguchi, N., Aguilar-Vega, C., Sasaki, M., Orba, Y., Sawa, H., Sánchez-Vizcaíno, J. M., Isoda, N., Bosch, J., & Ito, S. (2025). Risk Mapping of African Swine Fever in Domestic Pigs and Wild Boars to Enhance Management and Surveillance in Asia. Transboundary and emerging diseases, 2025, 8850856. https://doi.org/10.1155/tbed/8850856
Abstract
African swine fever (ASF) is a highly lethal disease affecting domestic pigs and wild boars, caused by the ASF virus (ASFV), which has rapidly spread across Asia in recent years. In this region, most reported ASF cases involve domestic pigs, while cases in wild boars remain notably lower except in a few countries. However, factors such as the high population of wild boars, limited wildlife surveillance, and inadequate farm biosecurity suggest that the prevalence and transmission of ASFV between these hosts may be underestimated. Therefore, we used a simplified multicriteria approach (SMCA) to identify vulnerable areas (VAs) for ASFV infection and validated the resulting VA maps with chi-square tests using reported ASF cases. The spatial SMCA revealed that VAs for ASFV infection in domestic pigs are concentrated in eastern China, while high-risk zones for ASFV infection in wild boars span Russia, eastern China, and Southeast Asia. Sensitity analysis showed that the variables that most influenced the risk of ASFV infection in domestic pigs and wild boars were anthropogenic factors and distribution of wild boars, respectively. Additionally, we predicted areas with significant transmission potential between domestic pigs and wild boars. High-risk regions for interspecies transmission include eastern China, southwestern Korea, and southern Japan. This study offers a standardized method to assess ASFV infection risk across Asia by integrating environmental and anthropogenic factors rather than relying solely on reported outbreaks. The findings highlight potential high-risk regions, including those without detected outbreaks, to improve surveillance and early detection strategies
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Author Contributions
Nijiho Kawaguchi, Jaime Bosch, Satoshi Ito,CeciliaAguilar-Vega, José Manuel Sánchez-Vizcaíno: conceptualiza-tion. Nijiho Kawaguchi, Jaime Bosch, Satoshi Ito, NorikazuIsoda: data negotiation and collection. Nijiho Kawaguchi,Jaime Bosch, Satoshi Ito, Cecilia Aguilar-Vega: methodologyand formal analysis. Satoshi Ito, Jaime Bosch, CeciliaAguilar-Vega, Norikazu Isoda,José Manuel Sánchez-Vizcaíno:no: validation, writing – review and editing.Nijiho Kawaguchi,Satoshi Ito: drafting the manuscript. Michihito Sasaki, YasukoOrba, Hirofumi Sawa: reviewing the manuscript. NorikazuIsoda, Jaime Bosch, José Manuel Sánchez-Vizcaíno: supervi-sion. All authors have equally contributed to the study. NijihoKawaguchi and Jaime Bosch should be listed as co-first authors.













