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

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dc.contributor.authorIto, Satoshi
dc.contributor.authorBosch López, Jaime Alfonso
dc.contributor.authorAguilar Vega, Cecilia
dc.contributor.authorJeong, Hyunkyu
dc.contributor.authorSánchez-Vizcaíno Rodríguez, José Manuel
dc.date.accessioned2024-07-10T07:51:54Z
dc.date.available2024-07-10T07:51:54Z
dc.date.issued2024-06-21
dc.description.abstractSince 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’s rho test indicated that elevation (rho = -0.908, p-value < 0.001) and distance from roads (rho = -0.979, p-value < 0.001) may have a significant impact on limiting surveillance activities. A map of potential under-surveilled areas was created considering these results and was validated by a chi-square goodness-of-fit test (X-square = 208.03, df = 1, p-value < 0.001). The strong negative correlation (rho = -0.997, p-value <0.001) between ASF-positive wild boars and distance from water sources emphasizes that areas surrounding rivers are one of the priority areas for monitoring. The subsequent hydrological analyses provided important points for monitoring the risk of virus entry via water from the neighboring country. This research aims to facilitate early detection and prevent further spread of ASF.
dc.description.departmentDepto. de Sanidad Animal
dc.description.facultyFac. de Veterinaria
dc.description.facultyCentro de Vigilancia Sanitaria Veterinaria (VISAVET)
dc.description.refereedTRUE
dc.description.sponsorshipEuropean Commission
dc.description.statuspub
dc.identifier.citationIto S, Bosch J, Aguilar-Vega C, Jeong H, Sa´nchez-Vizcaı´no JM (2024) Geospatial analysis for strategic wildlife disease surveillance: African swine fever in South Korea (2019–2021). PLoS ONE 19(6): e0305702. https://doi.org/10.1371/ journal.pone.0305702
dc.identifier.doi10.1371/journal.pone.0305702
dc.identifier.essn1932-6203
dc.identifier.officialurlhttps://doi.org/10.1371/journal.pone.0305702
dc.identifier.relatedurlhttps://pubmed.ncbi.nlm.nih.gov/38905303/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/105891
dc.issue.number6
dc.journal.titlePlos One
dc.language.isoeng
dc.page.final16
dc.page.initial1
dc.publisherPublic Library of Science
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/862874/EU
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.titleGeospatial analysis for strategic wildlife disease surveillance: African swine fever in South Korea (2019–2021)
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number19
dspace.entity.typePublication
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