%0 Journal Article
%T An Extreme Value Theory approach for the early detection of time clusters with application to the surveillance of Salmonella
%A Armelle Guillou
%A Marie Kratz
%A Yann Le Strat
%J Statistics
%D 2010
%I arXiv
%X 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.
%U http://arxiv.org/abs/1003.4466v1