VISAVET Health Surveillance Center, Complutense University of Madrid, 28040 Madrid, Spain.
Department of Animal Health, Faculty of Veterinary, Complutense University of Madrid, 28040 Madrid, Spain.
Viruses. 2022 Dec 13;14(12):2779. doi: 10.3390/v14122779.
Since the first confirmation of African swine fever (ASF) in domestic pig farms in South Korea in September 2019, ASF continues to expand and most notifications have been reported in wild boar populations. In this study, we first performed a spatio-temporal cluster analysis to understand ASF spread in wild boar. Secondly, generalized linear logistic regression (GLLR) model analysis was performed to identify environmental factors contributing to cluster formation. In the meantime, the basic reproduction number (R) for each cluster was estimated to understand the growth of the epidemic. The cluster analysis resulted in the detection of 17 spatio-temporal clusters. The GLLR model analysis identified factors influencing cluster formation and indicated the possibility of estimating ASF epidemic areas based on environmental conditions. In a scenario only considering direct transmission among wild boar, R ranged from 1.01 to 1.5 with an average of 1.10, while, in another scenario including indirect transmission via an infected carcass, R ranged from 1.03 to 4.38 with an average of 1.56. We identified factors influencing ASF expansion based on spatio-temporal clusters. The results obtained would be useful for selecting priority areas for ASF control and would greatly assist in identifying efficient vaccination areas in the future.
自 2019 年 9 月韩国国内猪场首次确认非洲猪瘟(ASF)以来,ASF 继续蔓延,大多数通报均发生在野猪种群中。在本研究中,我们首先进行时空聚类分析,以了解野猪中 ASF 的传播情况。其次,进行广义线性逻辑回归(GLLR)模型分析,以确定导致聚类形成的环境因素。同时,估计每个聚类的基本繁殖数(R),以了解疫情的增长情况。聚类分析检测到 17 个时空聚类。GLLR 模型分析确定了影响聚类形成的因素,并表明有可能根据环境条件估计 ASF 疫区。在仅考虑野猪之间直接传播的情况下,R 范围从 1.01 到 1.5,平均值为 1.10,而在另一种情况下,包括通过感染尸体的间接传播,R 范围从 1.03 到 4.38,平均值为 1.56。我们根据时空聚类确定了影响 ASF 扩张的因素。获得的结果将有助于选择 ASF 控制的优先地区,并将极大地有助于未来确定有效的疫苗接种地区。