VISAVET Health Surveillance Centre, Animal Health Department, Faculty of Veterinary, Complutense University of Madrid, Madrid, Spain.
Istituto Zooprofilattico Sperimentale della Sardegna, Sardinia, Italy.
PLoS One. 2020 May 29;15(5):e0233473. doi: 10.1371/journal.pone.0233473. eCollection 2020.
African Swine Fever (ASF) is one of the most complex and significant diseases from a sanitary-economic perspective currently affecting the world's swine-farming industry. ASF has been endemic in Sardinia (Italy) since 1978, and several control and eradication programmes have met with limited success. In this traditional ASF endemic area, there are three susceptible host populations for this virus sharing the same habitat: wild boar, farmed domestic pigs and non-registered free-ranging pigs (known as "brado" animals). The main goal of this study was to determine and predict fine-scale spatial interactions of this multi-host system in relation to the epidemiology of ASF in the main endemic area of Sardinia, Montes-Orgosolo. To this end, simultaneous monitoring of GPS-GSM collared wild boar and free-ranging pigs sightings were performed to predict interaction indexes through latent selection difference functions with environmental, human and farming factors. Regarding epidemiological assessment, the spatial inter-specific interaction indexes obtained here were used to correlate ASF notifications in wild boar and domestic pig farms. Daily movement patterns, home ranges (between 120.7 and 2,622.8 ha) and resource selection of wild boar were obtained for the first time on the island. Overall, our prediction model showed the highest spatial interactions between wild boar and free-ranging pigs in areas close to pig farms. A spatially explicit model was obtained to map inter-specific interaction over the complete ASF-endemic area of the island. Our approach to monitoring interaction indexes may help explain the occurrence of ASF notifications in wild boar and domestic pigs on a fine-spatial scale. These results support the recent and effective eradication measures taken in Sardinia. In addition, this methodology could be extrapolated to apply in the current epidemiological scenarios of ASF in Eurasia, where exist multi-host systems involving free-ranging pigs and wild boar.
非洲猪瘟(ASF)是目前全球养猪业面临的最复杂、最重大的疾病之一,从卫生经济学的角度来看,ASF 自 1978 年以来就在撒丁岛(意大利)流行,尽管采取了多项控制和根除计划,但收效甚微。在这个传统的 ASF 流行地区,有三种易感染该病毒的宿主群体,它们共享相同的栖息地:野猪、农场饲养的家猪和非注册的自由放养猪(称为“brado”动物)。本研究的主要目标是确定和预测该多宿主系统与 ASF 在撒丁岛主要流行地区蒙泰奥尔戈索洛(Montes-Orgosolo)的流行病学相关的细粒度空间相互作用。为此,对 GPS-GSM 项圈野猪和自由放养猪的同时监测,通过与环境、人类和农业因素有关的潜在选择差异函数来预测相互作用指数。在流行病学评估方面,使用此处获得的种间空间相互作用指数来关联野猪和家猪养殖场的 ASF 通报。这是首次在该岛上获得野猪的每日运动模式、家域(120.7 至 2622.8 公顷之间)和资源选择。总体而言,我们的预测模型显示,在靠近养猪场的地区,野猪和自由放养猪之间的空间相互作用最高。获得了整个 ASF 流行岛屿的种间相互作用的空间显式模型。我们监测相互作用指数的方法可能有助于解释在小空间尺度上野猪和家猪 ASF 通报的发生。这些结果支持了撒丁岛最近采取的有效根除措施。此外,该方法可以推广应用于欧亚大陆当前的 ASF 流行病学情况,其中涉及野猪和自由放养猪的多宿主系统。