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dc.contributor.authorAguilar-Vega, Cecilia
dc.contributor.authorBosch, Jaime
dc.contributor.authorIto, Satoshi
dc.contributor.authorIvorra, Benjamin
dc.contributor.authorJeong, Hyunkyu
dc.contributor.authorSánchez-Vizcaíno, José Manuel
dc.contributor.otherProducció Animalca
dc.date.accessioned2026-04-16T12:24:25Z
dc.date.available2026-04-16T12:24:25Z
dc.date.issued2026-04-02
dc.identifier.issn1932-6203ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/5208
dc.description.abstractAfrican swine fever (ASF) is a lethal disease of swine that has spread across Asia since its introduction in 2018. South Korea first reported the disease in September 2019 in domestic pigs, and since then, more than 4,000 cases have been reported in wild boars during its expansion up to August 2024. Due to the high number of ASF notifications in wild boars in South Korea, contrasted with their scarcity in most Asian countries, analyzing the spatiotemporal spread of the disease in a setting with active surveillance provides valuable insights. In this study, we performed a trend-surface analysis on temporally gridded case data to characterize the overall geographic spread and direction of ASF in wild boars across South Korea, from its emergence to August 2022. Additionally, we propose a novel approach distinct from previous studies, to estimate spread velocity by incorporating an upper threshold to avoid unrealistic values. The model described the spread of ASF in the study area. The disease showed greater expansion in the east of the country. Initially, a south and eastward direction was estimated. The estimated median velocity was 19.53 km/month, with cell-level velocities ranging from 2.45 to 69.99 km/month. Velocity increased notably from autumn 2021 onward and varied substantially across years. Our results show the dynamics of ASF in wild boars of South Korea, providing new evidence of their role in the epidemiology of the disease.ca
dc.description.sponsorshipThis research was supported by the Horizon 2020 program of the European Union through the European Project H2020 “VACDIVA - A Safe DIVA vaccine for African Swine Fever control and eradication” project (grant agreement no. 862874). This work was also carried out with financial support from the projects PID2019-106337GB-I00 and PID2023-146754NB-I00, funded by MCIU/AEI/10.13039/501100011033 and FEDER, EU. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.ca
dc.format.extent13ca
dc.language.isoengca
dc.publisherPublic Library of Scienceca
dc.relation.ispartofPLoS ONEca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleEstimating the velocity and direction of African Swine Fever spread in wild boar populations in South Korea using Trend-Surface Analysisca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.relation.projectIDEC/H2020/862874/EU/A safe DIVA vaccine for African Swine Fever control and eradication/VACDIVAca
dc.relation.projectIDMICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I y Programa Estatal de I+D+I orientada a los retos de la sociedad/PID2019-106337GB-I00/ES/Modelización, simulación numérica y optimización para varios problemas de interés general/ca
dc.relation.projectIDMICIU/Programa Estatal para impulsar la investigación científico-técnica y su transferencia/PID2023-146754NB-I00/ES/Integración de modelos dinámicos, simulación numérica, optimización y aprendizaje automático en temas relevantes para la sociedad/ca
dc.relation.projectIDFEDER/ / /EU/ /ca
dc.subject.udc619ca
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0346098ca
dc.contributor.groupSanitat Animalca


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
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