Lim Jun-Sik, Vergne Timothée, Pak Son-Il, Kim Eutteum
College of Veterinary Medicine and Institute of Veterinary Science, Kangwon National University, Chuncheon 24341, Korea.
UMR ENVT-INRAE 1225, Ecole Nationale Vétérinaire de Toulouse, 31300 Toulouse, France.
Animals (Basel). 2021 Apr 22;11(5):1208. doi: 10.3390/ani11051208.
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.
2019年9月,韩国首次报告非洲猪瘟(ASF)疫情。自那时起,该国已通报651多起野猪感染非洲猪瘟病例以及14起养殖场疫情。尽管为根除野猪群体中的非洲猪瘟做出了努力,但最近报告的非洲猪瘟呈阳性的野猪尸体数量有所增加。本研究的目的是描述非洲猪瘟呈阳性的野猪尸体的空间分布,以确定与受影响地区非洲猪瘟呈阳性的野猪尸体的存在和数量相关的风险因素。由于2020年初监测力度大幅增加,我们根据报告病例数将研究分为两个时期(2019年10月2日至2020年1月19日,以及2020年1月19日至4月28日),并将报告的非洲猪瘟呈阳性的尸体数量汇总到直径为3公里的正六边形规则网格中。为了考虑对阳性尸体的检测不完美情况,我们对每个六边形中非洲猪瘟呈阳性的野猪尸体数量调整了空间零膨胀泊松回归模型。在第一个研究时期,靠近朝鲜被确定为存在非洲猪瘟病毒的主要风险因素。此外,在对野猪栖息地适宜性高、热负荷指数(HLI)低且人口密度高的受影响六边形中,报告的阳性尸体更多。在第二个研究时期,靠近第一个时期报告的非洲猪瘟呈阳性的尸体是存在非洲猪瘟呈阳性的尸体的唯一显著风险因素。此外,低HLI和海拔与受影响六边形中报告的非洲猪瘟呈阳性的尸体数量增加有关。尽管受非洲猪瘟影响的六边形比例从0.06(95%可信区间(CrI):0.05 - 0.07)增加到0.09(95% CrI:0.08 - 0.10),但在两个研究时期之间,在受非洲猪瘟影响的六边形中报告至少一具阳性尸体的概率从0.49(95% CrI:0.41 - 0.57)增加到0.73(95% CrI:0.66 - 0.81)。这些结果可用于进一步推进大韩民国基于风险的监测策略。