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Modeling R0 for Pathogens with Environmental Transmission: Animal Movements Pathogen Populations and Local Infectious Zones

机译:通过环境传播为病原体建模R0:动物运动病原体种群和局部感染区

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摘要

How a disease is transmitted affects our ability to determine R0, the average number of new cases caused by an infectious host at the onset of an epidemic. R0 becomes progressively more difficult to compute as transmission varies from directly transmitted diseases to diseases that are vector-borne to environmentally transmitted diseases. Pathogens responsible for diseases with environmental transmission are typically maintained in environmental reservoirs that exhibit a complex spatial distribution of local infectious zones (LIZs). Understanding host encounters with LIZs and pathogen persistence within LIZs is required for an accurate R0 and modeling these contacts requires an integrated geospatial and dynamical systems approach. Here we review how interactions between host and pathogen populations and environmental reservoirs are driven by landscape-level variables, and synthesize the quantitative framework needed to formulate outbreak response and disease control.
机译:疾病的传播方式会影响我们确定R0的能力,R0是传染病宿主在传染病爆发后平均新病例的数量。随着传播方式从直接传播的疾病到媒介传播的疾病到环境传播的疾病,R0的计算变得越来越困难。负责通过环境传播的疾病的病原体通常保存在表现出局部感染区(LIZs)复杂空间分布的环境水库中。要获得准确的R0,需要了解宿主与LIZ的遭遇以及LIZ中病原体的持久性,并且对这些接触进行建模需要集成的地理空间和动力学系统方法。在这里,我们回顾了景观水平变量如何驱动宿主与病原体种群和环境水库之间的相互作用,并综合了制定爆发反应和疾病控制所需的定量框架。

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