Prediction of potential spread areas of African swine fever virus through wild boars using Maxent model
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Background: In South Korea, African swine fever virus (ASFV) has spread among wild boars through Gangwon-do to Dangyang-gun, Chungcheongbuk-do on the southern border of Gangwon-do. To prevent the spread of ASFV to African swine fever (ASF)-free areas, it is necessary to identify areas with a high probability of finding ASFV-infected carcasses and to reduce the density of wild boars in those areas. In this study, we described the propagation trend of ASFV among wild boars, constructed the habitat suitability maps for ASFV-infected carcasses, and suggested areas with a high probability of finding ASFV- infected carcasses and an important route of ASFV transmission. Results: Despite the active quarantine policies in Korea to prevent the spread of ASFV through wild boars, there was no significant difference in the monthly average of number of ASFV-infected carcasses observed between 2020 and 2021. The ASFV-infected carcasses were found more in winter and spring (January to April). Since the first ASF outbreak in wild boars on October 2, 2019, the maximum width of ASFV-infected carcass distribution area was 222.7 km for about 26 months till November 20, 2021. The habitat suitability map, based on GPS coordinates of ASFV-infected wild boar carcasses, shows that highly detectable areas of ASFV-infected carcasses were sporadically dispersed in western and southwestern parts of Gangwon-do, and ranged from north to south of the province along the Baekdudaegan Mountains, whereas poorly detectable areas ranged along the north to the south in the middle parts of the province. Conclusions: Our suitability model, based on the GPS coordinates of ASFV-infected carcasses, identifies potential habitats where ASFV-infected carcasses are likely to be found and ponential routes where ASFV is likely to spread. Among ASF-free areas, the areas with high suitability predicted in this study should be given priority as survey areas to find ASFV- infected carcasses and hunting areas to reduce wild boar populations.
Abstract
Background: In South Korea, African swine fever virus (ASFV) has spread among wild boars through Gangwon-do to Dangyang-gun, Chungcheongbuk-do on the southern border of Gangwon-do. To prevent the spread of ASFV to African swine fever (ASF)-free areas, it is necessary to identify areas with a high probability of finding ASFV-infected carcasses and to reduce the density of wild boars in those areas. In this study, we described the propagation trend of ASFV among wild boars, constructed the habitat suitability maps for ASFV-infected carcasses, and suggested areas with a high probability of finding ASFV- infected carcasses and an important route of ASFV transmission. Results: Despite the active quarantine policies in Korea to prevent the spread of ASFV through wild boars, there was no significant difference in the monthly average of number of ASFV-infected carcasses observed between 2020 and 2021. The ASFV-infected carcasses were found more in winter and spring (January to April). Since the first ASF outbreak in wild boars on October 2, 2019, the maximum width of ASFV-infected carcass distribution area was 222.7 km for about 26 months till November 20, 2021. The habitat suitability map, based on GPS coordinates of ASFV-infected wild boar carcasses, shows that highly detectable areas of ASFV-infected carcasses were sporadically dispersed in western and southwestern parts of Gangwon-do, and ranged from north to south of the province along the Baekdudaegan Mountains, whereas poorly detectable areas ranged along the north to the south in the middle parts of the province. Conclusions: Our suitability model, based on the GPS coordinates of ASFV-infected carcasses, identifies potential habitats where ASFV-infected carcasses are likely to be found and ponential routes where ASFV is likely to spread. Among ASF-free areas, the areas with high suitability predicted in this study should be given priority as survey areas to find ASFV- infected carcasses and hunting areas to reduce wild boar populations.
참고문헌 (32)
- Bergmann H, "A review of environmental risk factors for African swine fever in European wild boar", Animals(Basel), 11(9), pp.2692~ (2021)[DOI]
- Bosch J, "Can habitat suitability predict the presence of wild boar? Suitable land uses vs. georeferenced data in Bulgaria", Folia Zool, 63(3), pp.194~205 (2014)[DOI]
- Chenais E, "Epidemiological considerations on African swine fever in Europe 2014-2018", Porcine Health Manag, 5, pp.6~ (2019)[DOI]
- Cukor J, "Wild boar deathbed choice in relation to ASF : are there any differences between positive and negative carcasses?", Prev Vet Med, 177, pp.104943~ (2020)[DOI]
- Dixon LK, "African swine fever virus replication and genomics", Virus Res, 173(1), pp.3~14 (2013)[DOI]
- Dixon LK, "African swine fever epidemiology and control", Annu Rev Anim Biosci, 8, pp.221~246 (2020)[DOI]
- EFSA(European Food Safety Authority), "Epidemiological analyses of African swine fever in the European Union(November 2018 to October 2019)", EFSA J, 18(1), pp.e05996~ (2020)[DOI]
- ENETwild Consortium, "Wild boar in focus : review of existing models on spatial distribution and density of wild boar and proposal for next steps", EFSA Support Publ, 15(10), pp.1490E~ (2018)[DOI]
- European Food Safety Authority(EFSA), "Epidemiological analysis of African swine fever in the European Union(September 2019 to August 2020)", EFSA J, 19(5), pp.e06572~ (2021)[DOI]
- Fischer M, "Stability of African swine fever virus in carcasses of domestic pigs and wild boar experimentally infected with the ASFV"Estonia 2014"isolate", Viruses, 12(10), pp.1118~ (2020)[DOI]
- Golnar AJ, "Reviewing the potential vectors and hosts of African swine fever virus transmission in the United States", Vector Borne Zoonotic Dis, 19(7), pp.512~524 (2019)[DOI]
- "2020 Forest Basic Statistics" (2021)[URL]
- Lange M, "Elucidating transmission parameters of African swine fever through wild boar carcasses by combining spatio-temporal notification data and agent-based modelling", Stoch Environ Res Risk Assess, 31, pp.379~391 (2017)[DOI]
- Lim JS, "Modelling the spatial distribution of ASF-positive wild boar carcasses in South Korea using 2019-2020national surveillance data", Animals(Basel), 11(5), pp.1208~ (2021)[DOI]
- 임상진, "오대산국립공원에 분포하는 삵(Prionailurus bengalensis)의 서식지 특성 분석", 농업생명과학연구, 49(3), pp.99~111 (2015), 농업생명과학연구원[DOI]
- Linden A, "Summer 2018 : African swine fever virus hits north-western Europe", Transbound Emerg Dis, 66(1), pp.54~55 (2019)[DOI]
- Mazur-Panasiuk N, "The spillover of African swine fever in Western Poland revealed its estimated origin on the basis of O174L, K145R, MGF 505-5R and IGR I73R", I329L genomic sequences, 2020, pp.12(10), 1094~
- Mazur-Panasiuk N, "African swine fever virus-persistence in different environmental conditions and the possibility of its indirect transmission", J Vet Res, 63(3), pp.303~310 (2019)[DOI]
- Mur L, "Risk of African swine fever introduction into the European Union through transport-associated routes : returning trucks and waste from international ships and planes", BMC Vet Res, 8, pp.149~ (2012)[DOI]
- "African Swine Fever (ASF) Report N°47: 2016-2020" (2021)[URL]
- Olesen AS, "Transmission of African swine fever virus from infected pigs by direct contact and aerosol routes", Vet Microbiol, 211, pp.92~102 (2017)[DOI]
- Plowright W, "African swine fever virus in ticks(Ornithodoros moubata, Murray)collected from animal burrows in Tanzania", Nature, 221(5185), pp.1071~1073 (1969)[DOI]
- Podgórski T, "Do wild boar movements drive the spread of African swine fever?", Transbound Emerg Dis, 65(6), pp.1588~1596 (2018)[DOI]
- Probst C, "The potential role of scavengers in spreading African swine fever among wild boar", Sci Rep, 10(1), pp.8624~ (2020)[DOI]
- 노백호, "Using habitat suitability model for the wild boar (Sus scrofa Linnaeus) to select wildlife passage sites in extensively disturbed temperate forests", Journal of Ecology and Environment, 38(2), pp.163~173 (2015), 한국생태학회[DOI]
- Sauter-Louis C, "Joining the club : first detection of African swine fever in wild boar in Germany", Transbound Emerg Dis, 68(4), pp.1744~1752 (2021)[DOI]
- 서창완, "설악산 산양을 대상으로 한 야생동물 서식지 적합성 모형에 관한 연구", 한국환경복원기술학회지, 11(3), pp.28~38 (2008), 한국환경복원기술학회
- Sofaer H, "Development and delivery of species distribution models to inform decision-making", BioScience, 69(7), pp.544~557 (2019)[DOI]
- 송원경, "고라니 서식지 분석을 위한 기계학습식 종분포모형 비교", 대한원격탐사학회지, 28(1), pp.171~180 (2012), 대한원격탐사학회
- Swets JA, "Measuring the accuracy of diagnostic systems", Science, 240(4857), pp.1285~1293 (1988)[DOI]
- Taylor RA, "Predicting spread and effective control measures for African swine fever-should we blame the boars?", Transbound Emerg Dis, 68(2), pp.397~416 (2021)[DOI]
- Zakharova OI, "African swine fever in the Russian Far East(2019-2020) : spatio-temporal analysis and implications for wild ungulates", Front Vet Sci, 8, pp.723081~ (2021)[DOI]
