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Using Routine Surveillance Data to Estimate the Epidemic Potential of Emerging Zoonoses: Application to the Emergence of US Swine Origin Influenza A H3N2v Virus

机译:使用例行监视数据估计新兴人畜共患病的流行潜力:在美国猪源性甲型H3N2v流感病毒的出现中的应用

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Background Prior to emergence in human populations, zoonoses such as SARS cause occasional infections in human populations exposed to reservoir species. The risk of widespread epidemics in humans can be assessed by monitoring the reproduction number R (average number of persons infected by a human case). However, until now, estimating R required detailed outbreak investigations of human clusters, for which resources and expertise are not always available. Additionally, existing methods do not correct for important selection and under-ascertainment biases. Here, we present simple estimation methods that overcome many of these limitations.
机译:背景技术在人类出现之前,人畜共患病(如SARS)会在接触水库物种的人类种群中偶发感染。可以通过监测繁殖数R(感染人类病例的平均人数)来评估人类中广泛流行病的风险。但是,直到现在,估计R仍需要对人类集群进行详细的爆发调查,而对于这些集群而言,资源和专业知识并不总是可用的。此外,现有方法无法校正重要的选择和不确定性偏倚。在这里,我们提出了克服许多这些局限性的简单估算方法。

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