Department of Pathobiology and Population Health, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, United States of America.
National Institute for Mathematical and Biological Synthesis (NIMBioS), Knoxville, Tennessee, United States of America.
PLoS One. 2018 Oct 10;13(10):e0205418. doi: 10.1371/journal.pone.0205418. eCollection 2018.
The causes of seasonal variability in pathogen transmission are not well understood, and have not been comprehensively investigated. In an example for enteric pathogens, incidence of Escherichia coli O157 (STEC) colonization in cattle is consistently higher during warmer months compared to cooler months in various cattle production systems. However, actual mechanisms for this seasonality remain elusive. In addition, the influence of host (cattle) behavior on this pattern has not been thoroughly considered. To that end, we constructed a spatially explicit agent-based model that accounted for the effect of temperature fluctuations on cattle behavior (direct contact among cattle and indirect between cattle and environment), as well as its effect on pathogen survival in the environment. We then simulated the model in a factorial approach to evaluate the hypothesis that temperature fluctuations can lead to seasonal STEC transmission dynamics by influencing cattle aggregation, grazing, and drinking behaviors. Simulation results showed that higher temperatures increased the frequency at which cattle aggregated under shade in pasture, resulting in increased direct contact and transmission of STEC between individual cattle, and hence higher incidence over model simulations in the warm season. In contrast, increased drinking behavior during warm season was not an important transmission pathway. Although sensitivity analyses suggested that the relative importance of direct vs. indirect (environmental) pathways depend to upon model parameterization, model simulations indicated that factors influencing cattle aggregation, such as temperature, were likely strong drivers of transmission dynamics of enteric pathogens.
季节性发病因素的变化原因尚不清楚,也尚未得到全面的研究。以肠病原体为例,在不同的牛养殖体系中,牛大肠杆菌 0157(STEC)的感染率在温暖月份始终高于凉爽月份。然而,这种季节性的确切机制仍不清楚。此外,宿主(牛)行为对这种模式的影响也尚未被充分考虑。为此,我们构建了一个空间明确的基于主体的模型,该模型考虑了温度波动对牛行为(牛之间的直接接触和牛与环境之间的间接接触)的影响,以及其对环境中病原体存活的影响。然后,我们采用因子分析法模拟模型,以评估以下假设:即温度波动可通过影响牛的聚集、放牧和饮水行为,导致 STEC 的季节性传播动态。模拟结果表明,较高的温度增加了牛在牧场遮荫下聚集的频率,导致个体牛之间的 STEC 直接接触和传播增加,因此在温暖季节的模型模拟中发病率更高。相比之下,温暖季节增加的饮水行为并不是重要的传播途径。尽管敏感性分析表明,直接与间接(环境)途径的相对重要性取决于模型参数化,但模型模拟表明,影响牛聚集的因素(如温度)可能是肠病原体传播动态的主要驱动因素。