Para depositar en Docta Complutense, identifícate con tu correo @ucm.es en el SSO institucional. Haz clic en el desplegable de INICIO DE SESIÓN situado en la parte superior derecha de la pantalla. Introduce tu correo electrónico y tu contraseña de la UCM y haz clic en el botón MI CUENTA UCM, no autenticación con contraseña.

Estimating the velocity and direction of African Swine Fever spread in wild boar populations in South Korea using Trend-Surface Analysis

dc.contributor.authorAguilar Vega, Cecilia
dc.contributor.authorBosch López, Jaime Alfonso
dc.contributor.authorIto, Satoshi
dc.contributor.authorIvorra, Benjamín Pierre Paul
dc.contributor.authorJeong, Hyunkyu
dc.contributor.authorSánchez-Vizcaíno Rodríguez, José Manuel
dc.date.accessioned2026-04-15T14:43:04Z
dc.date.available2026-04-15T14:43:04Z
dc.date.issued2026
dc.descriptionAuthor contributions Conceptualization: Cecilia Aguilar-Vega, Jaime Bosch, Satoshi Ito, José Manuel Sánchez-Vizcaíno. Data curation: Cecilia Aguilar-Vega, Satoshi Ito. PLOS One | https://doi.org/10.1371/journal.pone.0346098 April 2, 2026 11 / 13 Formal analysis: Cecilia Aguilar-Vega. Funding acquisition: Benjamin Ivorra, José Manuel Sánchez-Vizcaíno. Investigation: Satoshi Ito, Hyunkyu Jeong. Methodology: Cecilia Aguilar-Vega, Jaime Bosch, Benjamin Ivorra. Project administration: Jaime Bosch, Benjamin Ivorra, José Manuel Sánchez-Vizcaíno. Resources: Satoshi Ito, Hyunkyu Jeong. Software: Cecilia Aguilar-Vega. Supervision: Jaime Bosch, José Manuel Sánchez-Vizcaíno. Validation: Cecilia Aguilar-Vega, Jaime Bosch, Satoshi Ito, Benjamin Ivorra. Visualization: Cecilia Aguilar-Vega. Writing – original draft: Cecilia Aguilar-Vega. Writing – review & editing: Cecilia Aguilar-Vega, Jaime Bosch, Satoshi Ito, Benjamin Ivorra, Hyunkyu Jeong, José Manuel Sánchez-Vizcaíno.
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.
dc.description.departmentDepto. de Sanidad Animal
dc.description.facultyCentro de Vigilancia Sanitaria Veterinaria (VISAVET)
dc.description.refereedTRUE
dc.description.sponsorshipEuropean Commission
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades (España)
dc.description.statuspub
dc.identifier.citationAguilar-Vega, C., Bosch, J., Ito, S., Ivorra, B., Jeong, H., & Sánchez-Vizcaíno, J. M. (2026). Estimating the velocity and direction of African Swine Fever spread in wild boar populations in South Korea using Trend-Surface Analysis. PloS one, 21(4), e0346098. https://doi.org/10.1371/journal.pone.0346098
dc.identifier.doi10.1371/journal.pone.0346098
dc.identifier.issn1932-6203
dc.identifier.officialurlhttps://doi.org/10.1371/journal.pone.0346098
dc.identifier.pmid41926454
dc.identifier.relatedurlhttps://pubmed.ncbi.nlm.nih.gov/41926454/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/134804
dc.issue.numbere0346098
dc.journal.titlePlos One
dc.language.isoeng
dc.page.final13
dc.page.initial1
dc.publisherPublic Library of Science
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106337GB-I00/ES/MODELIZACION, SIMULACION NUMERICA Y OPTIMIZACION PARA VARIOS PROBLEMAS DE INTERES GENERAL/
dc.relation.projectIDPID2023-146754NB-I00
dc.relation.projectIDMCIU/AEI/10.13039/501100011033
dc.relation.projectIDH2020 «VACDIVA: una vacuna DIVA segura para el control y la erradicación de la peste porcina africana»
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu636.09
dc.subject.ucmVeterinaria
dc.subject.unesco3109 Ciencias Veterinarias
dc.titleEstimating the velocity and direction of African Swine Fever spread in wild boar populations in South Korea using Trend-Surface Analysis
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number21(4)
dspace.entity.typePublication
relation.isAuthorOfPublication2a10d6c7-fc1b-43d4-80a9-f48cb5ed5b76
relation.isAuthorOfPublication2fef7179-4d43-4356-b99a-8c78cae4162a
relation.isAuthorOfPublicationfab82944-ab5b-4d1c-8c49-3e4629c665c7
relation.isAuthorOfPublication6d5e1204-9b8a-40f4-b149-02d32e0bbed2
relation.isAuthorOfPublicationb078d9ce-ccce-49e2-a4e9-0ce85eca877e
relation.isAuthorOfPublication.latestForDiscovery2a10d6c7-fc1b-43d4-80a9-f48cb5ed5b76

Download

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
journal.pone.0346098.pdf
Size:
1.13 MB
Format:
Adobe Portable Document Format

Collections