Pollock Lisa A, Newton Erica J, Koen Erin L
Trent University, Department of Biology, Peterborough, ON, Canada; Ministry of Natural Resources and Forestry, Wildlife Research and Monitoring Section, Peterborough, ON, Canada.
Ministry of Natural Resources and Forestry, Wildlife Research and Monitoring Section, Peterborough, ON, Canada.
Prev Vet Med. 2021 Mar 31;191:105341. doi: 10.1016/j.prevetmed.2021.105341.
The probability of disease transmission among livestock premises via spillover from wildlife vectors depends on interacting ecological, demographic, and behavioural variables. Wild pigs (Sus scrofa) act as vectors and reservoirs of many diseases, including African Swine Fever (ASF), a highly lethal and contagious viral disease that affects both wild and domestic swine. Wild pigs play a significant role in the spread of ASF in geographic locations where the disease is present. Planning and preparedness will ensure that swift action can be taken to control ASF if it is introduced into North America. We used a network to predict the highest risk areas for ASF spread in Ontario, Canada given the distribution of wild pig sightings and other risk factors for wild pig presence and movement on the landscape. We used network nodes to represent the presence of domestic pig farms in a defined area, and we weighted network edges by the probability of ASF virus movement between nodes via movement of wild pigs. Our network models predicted that central Ontario has relatively high network closeness, suggesting that this area has a relatively high risk of virus exposure. These highly connected areas tended to also have the highest domestic pig farm density within a node. Central and eastern Ontario had the highest predicted network betweenness, suggesting that these areas are important for controlling virus flow across the province. We detected 10 communities or clusters within the overall network, where nodes were highly connected locally and relatively less connected to the rest of the network. Predicting areas with a high risk of exposure to the ASF virus due to wild pig movement in Ontario will guide managers on where to focus surveillance for ASF in the wild pig population and where to heighten biosecurity within commercial and backyard pig farms, ensuring that managers are prepared to act quickly to limit spread of ASF if the virus is introduced.
通过野生动物媒介溢出在牲畜养殖场之间传播疾病的概率取决于相互作用的生态、人口和行为变量。野猪(Sus scrofa)是许多疾病的媒介和宿主,包括非洲猪瘟(ASF),这是一种高致死性和传染性的病毒性疾病,会影响野生和家养的猪。在存在该疾病的地理位置,野猪在非洲猪瘟的传播中起着重要作用。规划和准备工作将确保如果非洲猪瘟传入北美,能够迅速采取行动加以控制。我们利用一个网络,根据野猪目击分布以及野猪在景观中存在和移动的其他风险因素,预测加拿大安大略省非洲猪瘟传播的最高风险区域。我们使用网络节点来表示特定区域内家养猪场的存在,并通过野猪移动导致非洲猪瘟病毒在节点之间移动的概率对网络边进行加权。我们的网络模型预测,安大略省中部的网络紧密性相对较高,这表明该地区病毒暴露风险相对较高。这些高度连接的区域在一个节点内往往也有家养猪场密度最高的情况。安大略省中部和东部的预测网络中介中心性最高,这表明这些区域对于控制全省的病毒流动很重要。我们在整个网络中检测到10个社区或集群,其中节点在本地高度连接,与网络其他部分的连接相对较少。预测安大略省因野猪移动而面临高非洲猪瘟病毒暴露风险的区域,将指导管理人员确定在野猪种群中对非洲猪瘟进行监测的重点区域,以及在商业和后院养猪场加强生物安全措施的地点,确保管理人员做好准备,如果病毒传入,能够迅速采取行动限制非洲猪瘟的传播。