ArticleAnimals : an open access journal from MDPI2021
Modelling the Spatial Distribution of ASF-Positive Wild Boar Carcasses in South Korea Using 2019-2020 National Surveillance Data.
Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- A Systematic Literature Review of Variables Associated with the Occurrence of African Swine Fever.Viruses · 2025Pooled it
- Modelling African Swine Fever Transmission and Epidemiology: A Scoping Review of Mechanistic, Statistical, and Machine Learning Approaches.Tropical medicine and infectious disease · 2026Review
- Modeling the Spatiotemporal Spread and Control of African Swine Fever in the Republic of Korea Using a Patch-Based Stochastic Framework.Transboundary and emerging diseases · 2026Article
- Article
- Impact of Carcass Detection Delays on the Sustained Transmission of African Swine Fever Among Wild Boars.Transboundary and emerging diseases · 2025Article
- Exploratory Report of Wild Boar Surveillance and Epidemiological Course of African Swine Fever Outbreak; Case in the Republic of Korea From 2019 to 2023.Transboundary and emerging diseases · 2025Article
- A spatially-heterogeneous impact of fencing on the African swine fever wavefront in the Korean wild boar population.Veterinary research · 2024Article
- Mapping African Swine Fever and Highly Pathogenic Avian Influenza Outbreaks along the Demilitarized Zone in the Korean Peninsula.Transboundary and emerging diseases · 2024Article
- Geospatial analysis for strategic wildlife disease surveillance: African swine fever in South Korea (2019-2021).PloS one · 2024Article
- Identifying risk clusters for African swine fever in Korea by developing statistical models.Frontiers in veterinary science · 2024Article
- Predicting Suitable Areas for African Swine Fever Outbreaks in Wild Boars in South Korea and Their Implications for Managing High-Risk Pig Farms.Animals : an open access journal from MDPI · 2023Article
- Mechanistic modelling for African swine fever transmission in the Republic of Korea.Journal of veterinary science · 2023Article
- Simulating Hunting Effects on the Wild Boar Population and African Swine Fever Expansion Using Agent-Based Modeling.Animals : an open access journal from MDPI · 2023Article
- What can we learn from the five-year African swine fever epidemic in Asia?Frontiers in veterinary science · 2023Review
- Investigation of Risk Factors Associated with the African Swine Fever Outbreaks in the Nizhny Novgorod Region of Russia, 2011-2022.Transboundary and emerging diseases · 2023Article
- Three Years of African Swine Fever in South Korea (2019-2021): A Scoping Review of Epidemiological Understanding.Transboundary and emerging diseases · 2023Article
- The Potential Role of Wild Suids in African Swine Fever Spread in Asia and the Pacific Region.Viruses · 2022Review
- Targeting the search of African swine fever-infected wild boar carcasses: A tool for early detection.Transboundary and emerging diseases · 2022Article
- Epidemiological analyses of African swine fever in the European Union: (September 2020 to August 2021).EFSA journal. European Food Safety Authority · 2022Article
- A Review of Environmental Risk Factors for African Swine Fever in European Wild Boar.Animals : an open access journal from MDPI · 2021Review
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
In September 2019, African swine fever (ASF) was reported in South Korea for the first time. Since then, more than 651 ASF cases in wild boars and 14 farm outbreaks have been notified in the country. Despite the efforts to eradicate ASF among wild boar populations, the number of reported ASF-positive wild boar carcasses have increased recently. The purpose of this study was to characterize the spatial distribution of ASF-positive wild boar carcasses to identify the risk factors associated with the presence and number of ASF-positive wild boar carcasses in the affected areas. Because surveillance efforts have substantially increased in early 2020, we divided the study into two periods (2 October 2019 to 19 January 2020, and 19 January to 28 April 2020) based on the number of reported cases and aggregated the number of reported ASF-positive carcasses into a regular grid of hexagons of 3-km diameter. To account for imperfect detection of positive carcasses, we adjusted spatial zero-inflated Poisson regression models to the number of ASF-positive wild boar carcasses per hexagon. During the first study period, proximity to North Korea was identified as the major risk factor for the presence of African swine fever virus. In addition, there were more positive carcasses reported in affected hexagons with high habitat suitability for wild boars, low heat load index (HLI), and high human density. During the second study period, proximity to an ASF-positive carcass reported during the first period was the only significant risk factor for the presence of ASF-positive carcasses. Additionally, low HLI and elevation were associated with an increased number of ASF-positive carcasses reported in the affected hexagons. Although the proportion of ASF-affected hexagons increased from 0.06 (95% credible interval (CrI): 0.05-0.07) to 0.09 (95% CrI: 0.08-0.10), the probability of reporting at least one positive carcass in ASF-affected hexagons increased from 0.49 (95% CrI: 0.41-0.57) to 0.73 (95% CrI: 0.66-0.81) between the two study periods. These results can be used to further advance risk-based surveillance strategies in the Republic of Korea.
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