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Investigating behavioral drivers of seasonal Shiga-Toxigenic Escherichia Coli (STEC) patterns in grazing cattle using an agent-based model

机译:使用基于代理的模型调查放牧牛的季节性志贺-产毒大肠埃希氏大肠杆菌(STEC)模式的行为驱动因素

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摘要

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.
机译:病原体传播中季节性变化的原因尚不清楚,因此尚未进行全面研究。在肠病原体的一个例子中,与各种牛生产系统中的较凉月份相比,在较暖月份中牛中大肠杆菌O157(STEC)定植的发生率始终较高。但是,这种季节性的实际机制仍然难以捉摸。此外,宿主(牛)行为对此模式的影响尚未得到充分考虑。为此,我们构建了一个基于空间显式代理的模型,该模型考虑了温度波动对牛行为(牛之间的直接接触以及牛与环境之间的间接接触)的影响,以及其对环境中病原体生存的影响。然后,我们采用阶乘方法对模型进行了仿真,以评估以下假设:温度波动会通过影响牛的聚集,放牧和饮酒行为而导致季节性STEC传播动态。模拟结果表明,较高的温度增加了牧场阴影下牲畜聚集的频率,从而导致单个牲畜之间STEC的直接接触和传播增加,因此,与暖季中的模型模拟相比,发生率更高。相反,在温暖季节饮酒行为增加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,但是模型仿真表明影响牛聚集的因素(例如温度)可能是肠道病原体传播动力学的强大驱动力。

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