Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.
VISAVET Center and Animal Health Department, Veterinary School, Complutense University of Madrid, Madrid, Spain.
Transbound Emerg Dis. 2018 Feb;65(1):123-134. doi: 10.1111/tbed.12636. Epub 2017 Mar 13.
African swine fever virus (ASFV) has been endemic in Sardinia since 1978, resulting in severe losses for local pig producers and creating important problems for the island's veterinary authorities. This study used a spatially explicit stochastic transmission model followed by two regression models to investigate the dynamics of ASFV spread amongst domestic pig farms, to identify geographic areas at highest risk and determine the role of different susceptible pig populations (registered domestic pigs, non-registered domestic pigs [brado] and wild boar) in ASF occurrence. We simulated transmission within and between farms using an adapted version of the previously described model known as Be-FAST. Results from the model revealed a generally low diffusion of ASF in Sardinia, with only 24% of the simulations resulting in disease spread, and for each simulated outbreak on average only four farms and 66 pigs were affected. Overall, local spread (indirect transmission between farms within a 2 km radius through fomites) was the most common route of transmission, being responsible for 98.6% of secondary cases. The risk of ASF occurrence for each domestic pig farm was estimated from the spread model results and integrated in two regression models together with available data for brado and wild boar populations. There was a significant association between the density of all three populations (domestic pigs, brado, and wild boar) and ASF occurrence in Sardinia. The most significant risk factors were the high densities of brado (OR = 2.2) and wild boar (OR = 2.1). The results of both analyses demonstrated that ASF epidemiology and infection dynamics in Sardinia create a complex and multifactorial disease situation, where all susceptible populations play an important role. To stop ASF transmission in Sardinia, three main factors (improving biosecurity on domestic pig farms, eliminating brado practices and better management of wild boars) need to be addressed.
非洲猪瘟病毒(ASFV)自 1978 年以来在撒丁岛流行,给当地养猪户造成了严重损失,也给该岛的兽医当局带来了重大问题。本研究使用了一个具有空间明确性的随机传播模型,然后使用两个回归模型来研究 ASFV 在国内养猪场之间的传播动态,以确定高风险地理区域,并确定不同易感猪群(注册的国内猪、非注册的国内猪[brado]和野猪)在 ASF 发生中的作用。我们使用先前描述的模型的一个改编版本(称为 Be-FAST)来模拟农场内和农场之间的传播。模型的结果表明,ASF 在撒丁岛的传播总体上较低,只有 24%的模拟导致疾病传播,并且每个模拟爆发平均只有四个农场和 66 头猪受到影响。总体而言,局部传播(通过污染物在 2 公里半径内的农场之间的间接传播)是最常见的传播途径,占二次病例的 98.6%。从传播模型的结果中估计了每个国内养猪场的 ASF 发生风险,并与野猪和野猪种群的可用数据一起集成到两个回归模型中。所有三种种群(国内猪、brado 和野猪)的密度与撒丁岛 ASF 的发生呈显著相关。最显著的风险因素是 brado(OR=2.2)和野猪(OR=2.1)的高密度。这两种分析的结果都表明,ASF 在撒丁岛的流行病学和感染动态造成了复杂的多因素疾病情况,所有易感种群都发挥了重要作用。为了在撒丁岛停止 ASF 的传播,需要解决三个主要因素(提高国内养猪场的生物安全、消除 brado 做法和更好地管理野猪)。