Reference - Detail
| RRC ID | 81604 |
|---|---|
| Author | Ito S, Bosch J, Aguilar-Vega C, Jeong H, Sánchez-Vizcaíno JM. |
| Title | Geospatial analysis for strategic wildlife disease surveillance: African swine fever in South Korea (2019-2021). |
| Journal | PLoS One |
| Abstract |
Since 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. |
| Volume | 19(6) |
| Pages | e0305702 |
| Published | 2024-6-21 |
| DOI | 10.1371/journal.pone.0305702 |
| PII | PONE-D-24-05869 |
| Description | NIES data were referenced. BiodiC-J data were referenced. |
| PMID | 38905303 |
| PMC | PMC11192348 |
| MeSH | African Swine Fever* / epidemiology African Swine Fever* / virology African Swine Fever Virus / isolation & purification African Swine Fever Virus / pathogenicity Animals Animals, Wild / virology Epidemiological Monitoring / veterinary Republic of Korea / epidemiology Sus scrofa / virology Swine |
| IF | 2.74 |
| Resource | |
| GBIF | Long-term fauna and flora records of the experimental forests of the Forest Research Station of Hokkaido University, Japan Mammal specimens of Okinawa Prefectural Museum & Art Museum Nagoya-Mammals Mammalian Specimens of the Yamagata Prefectural Museum Mammal assemblages recorded by camera traps inside and outside the evacuation zone of the Fukushima Daiichi Nuclear Power Plant accident Mammal specimens of Ryukyu University Museum (Fujukan) Monitoring Sites 1000 Satoyama Mammals Vertebrate specimens of Kumamoto City Museum Ibaraki Nature Museum, Mammals collection Vertebrate specimens of Iwate Prefectural Museum Mammal collection of National Museum of Nature and Science Mammals specimens of Taga Town Museum, Shiga Pref., Japan Mammal specimens of Komatsu City Museum Mammal specimens of Natural History Museum, Kishiwada City Mammal specimen database of Kanagawa Prefectural Museum of Natural History Gunma Museum of Natural History, Mammal Specimen Mammal Specimens of The Cattle Museum Mammal specimens of Takatsuki Nature Museum (Aquapia Akutagawa) Mammal specimens of Tochigi Prefectural Museum Mammal collection of Biodiversity Center of Japan, Ministry of the Environment (BDCJ) Mammal specimens of Toyota City Nature Sanctuary |