Geospatial analysis for strategic wildlife disease surveillance: African swine fever in South Korea (2019-2021).

ABSTRACT: Since the confirmation of African swine fever (ASF) in South Korea in 2019, its spread, predominantly in wild boars, has been a significant concern. A key factor in this situation is the lack of identification of risk factors by surveillance bias. The unique orography, characterized by high mountains, complicates search efforts, leading to overlooked or delayed case detection and posing risks to the swine industry. Additionally, shared rivers with neighboring country present a continual threat of virus entry. This study employs geospatial analysis and statistical methods to 1) identify areas at high risk of ASF occurrence but possibly under-surveilled, and 2) indicate strategic surveillance points for monitoring the risk of ASF virus entry through water bodies and basin influences. Pearson

SUBMITTER: Ito S 

PROVIDER: S-EPMC11192348 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature