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Geographic variation in seasonality and its influence on the dynamics of an infectious disease

机译:季节性的地理变异及其对传染病动态的影响

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Seasonal changes in environmental drivers - such as temperature, rainfall, and resource availability - have the potential to shape infection dynamics through their reverberating effects on biological processes including host abundance and susceptibility to infection. However, seasonality varies geographically. We therefore expect marked differences in infection dynamics between regions with different seasonal patterns. By pairing extensive Avian Influenza Virus (AIV) surveillance data - 65 358 individual bird samples from 12 species of dabbling ducks sampled at 174 locations across North America - with quantification of seasonality using remote sensed data indicative for primary productivity (normalised differenced vegetation index, NDVI), we provide evidence that seasonal dynamics influence infection dynamics across a continent. More pronounced epidemics were seen to occur in regions experiencing a higher degree of seasonality, and epidemics of lower amplitude and longer duration occurred in regions with a more protracted and lower seasonal amplitude. These results demonstrate the potential importance of geographic variation in seasonality for explaining geographic variation in the dynamics of infectious diseases in wildlife.
机译:环境驱动因素的季节变化 - 如温度,降雨和资源可用性 - 有可能通过对包括宿主丰富和易感染易感性的生物过程的混响影响来塑造感染动态。但是,季节性地在地理位置上变化。因此,我们期望具有不同季节性模式的地区的感染动态显着差异。通过配对广泛的禽流感病毒(AIV)监控数据 - 65 358来自12种达格鸭鸭的个人鸟类样本在北美的174个地点采样 - 使用遥感数据的季节性定量,用于初级生产率(正常化的差异植被指数,NDVI ),我们提供了证据,即季节性动态会影响大陆的感染动态。观察到更明显的流行病在体验更高程度的季节性的区域中发生,并且较低幅度和较长持续时间的流行病发生在具有更长突出和更低的季节振幅的区域中。这些结果表明了地理变异在季节性中的潜在重要性,以解释野生动物传染病动态的地理变异。

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