@article{Dassanayaka_French_2016, title={An Improved EWMA-Based Method for Outbreak Detection in Multiple Regions}, volume={8}, url={https://ojphi.org/ojs/index.php/ojphi/article/view/6517}, DOI={10.5210/ojphi.v8i1.6517}, abstractNote={<p class="p1">We present a simple, fast, and easily interpretable procedure that results in faster detection of outbreaks in multiple spatial regions. Disease counts from neighboring regions are aggregated to compute a Poisson CUSUM statistic for each region. Instead of controlling the average run length error criterion in the testing process, we instead utilize the false discovery rate. Additionally, p-values are used to make decisions instead of traditional critical-values. The use of the false discovery rate and p-values in testing allows us to utilize more powerful multiple testing methodologies. The procedure is successfully applied to detect the 2011 Salmonella Newport outbreak in Germany.</p>}, number={1}, journal={Online Journal of Public Health Informatics}, author={Dassanayaka, Sesha K. and French, Joshua}, year={2016}, month={Mar.} }