An Extreme Value Theory approach for the early detection of time clusters with application to the surveillance of Salmonella

Details An Extreme Value Theory approach for the early detection of time clusters with application to the surveillance of Salmonella An Extreme Value Theory approach for the early detection of time clusters with application to the surveillance of Salmonella

2010-03-23

arxiv.org/abs/1003.4466v1

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21 pages, 6 figures

Scientific paper

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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