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arXiv · 1003.4466

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

Armelle Guillou·Marie Kratz·Yann Le Strat
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Abstract

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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Armelle Guillou, Marie Kratz, Yann Le Strat. 2010-03-23. An Extreme Value Theory approach for the early detection of time clusters with application to the surveillance of Salmonella. https://arxiv.org/abs/1003.4466

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