Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA.
Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA.
Prev Vet Med. 2022 Nov;208:105759. doi: 10.1016/j.prevetmed.2022.105759. Epub 2022 Sep 14.
The role of transportation vehicles, pig movement between farms, proximity to infected premises, and feed deliveries has not been fully considered in the dissemination dynamics of porcine epidemic diarrhea virus (PEDV). This has limited efforts for disease prevention, control and elimination restricting the development of risk-based resource allocation to the most relevant modes of PEDV dissemination. Here, we modeled nine pathways of between-farm transmission represented by a contact network of pig movements between sites, farm-to-farm proximity (local transmission), four distinct contact networks of transportation vehicles (trucks that transport pigs from farm-to-farm and farm-to-markets, as well as trucks transporting feed and staff), the volume of animal by-products in feed diets (e.g., fat and meat-and-bone-meal) to reproduce PEDV transmission dynamics. The model was calibrated in space and time with weekly PEDV outbreaks. We investigated the model performance to identify outbreak locations and the contribution of each route in the dissemination of PEDV. The model estimated that 42.7% of the infections in sow farms were related to vehicles transporting feed, 34.5% of infected nurseries were associated with vehicles transporting pigs between farms, and for both farm types, local transmission or pig movements were the next most relevant transmission routes. On the other hand, finishers were most often (31.4%) infected via local transmission, followed by the vehicles transporting feed and pigs between farms. Feed ingredients did not significantly improve model calibration metrics, sensitivity, and specificity; therefore, it was considered to have a negligible contribution in the dissemination of PEDV. The proposed modeling framework provides an evaluation of PEDV transmission dynamics, ranking the most important routes of PEDV dissemination and granting the swine industry valuable information to focus efforts and resources on the most important transmission routes.
在猪流行性腹泻病毒(PEDV)的传播动态中,运输工具、猪在农场之间的移动、与感染场所的接近程度以及饲料的运送等因素的作用尚未得到充分考虑。这限制了疾病预防、控制和消除的努力,也限制了基于风险的资源分配方式向最相关的 PEDV 传播模式的发展。在这里,我们通过猪场之间的猪只移动联系网络,模拟了 9 种农场间传播途径,代表了农场间的接触网络(本地传播)、4 种不同的运输车辆接触网络(将猪从农场运往农场和市场的卡车,以及运输饲料和员工的卡车)、饲料日粮中动物副产品的数量(例如脂肪和肉骨粉),以再现 PEDV 的传播动态。该模型在空间和时间上与每周的 PEDV 暴发情况进行了校准。我们研究了模型的性能,以确定暴发地点以及每种途径在 PEDV 传播中的贡献。模型估计,母猪场中 42.7%的感染与运输饲料的车辆有关,34.5%的感染保育场与农场之间运输猪的车辆有关,对于这两种类型的农场,本地传播或猪只移动是下一个最相关的传播途径。另一方面,育肥场中(31.4%)最常通过本地传播感染,其次是运输饲料和农场间猪的车辆。饲料成分并没有显著提高模型校准指标的敏感性和特异性;因此,它被认为在 PEDV 的传播中贡献可以忽略不计。所提出的建模框架提供了对 PEDV 传播动态的评估,对 PEDV 传播的最重要途径进行了排名,并为养猪业提供了有价值的信息,以便集中精力和资源于最重要的传播途径。