时间簇早期检测的极值理论方法及其在沙门氏菌监测中的应用
An Extreme Value Theory approach for the early detection of time clusters with application to the surveillance of Salmonella
摘要：
我们提出了一种方法来生成一个预警系统的早期检测的时间集群应用于公共卫生监测数据。这种新方法依赖于对报告给监测系统的特定感染的任何新计数相关的重现期的评估。该方法适用于沙门氏菌监测在法国和Farrington等人开发的模型相比。
英文摘要：
We propose a method to generate a warning system for the early detection of time clusters applied to public health surveillance data. This new method relies on the evaluation of a return period associated to any new count of a particular infection reported to a surveillance system. The method is applied to Salmonella surveillance in France and compared to the model developed by Farrington et al.
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