Evidence map›Paper›PMID 41926454›Full record

ArticlePloS one2026

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

Cecilia Aguilar-Vega, Jaime Bosch, Satoshi Ito, Benjamin Ivorra, Hyunkyu Jeong, José Manuel Sánchez-Vizcaíno

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Cecilia Aguilar-VegaVISAVET Health Surveillance Centre, Complutense University of Madrid, Madrid, Spain.ORCID https://orcid.org/0000-0001-5981-7291
Jaime BoschVISAVET Health Surveillance Centre, Complutense University of Madrid, Madrid, Spain.
Satoshi ItoVISAVET Health Surveillance Centre, Complutense University of Madrid, Madrid, Spain.ORCID https://orcid.org/0000-0001-9653-7520
Benjamin IvorraInterdisciplinary Mathematics Institute (IMI) & Department of Applied Mathematics and Mathematical Analysis, Complutense University of Madrid, Madrid, Spain.ORCID https://orcid.org/0000-0002-0536-7149
Hyunkyu JeongDodram Pig Research Center, Daejeon, Republic of Korea.
José Manuel Sánchez-VizcaínoVISAVET Health Surveillance Centre, Complutense University of Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African 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.

Indexed as

African Swine FeverSus scrofaAfrican Swine Fever VirusAnimalsRepublic of KoreaSwine

Identifiers

PMID41926454
PMCPMC13046126

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.