TY - JOUR AU - Dassanayaka, Sesha K. AU - French, Joshua PY - 2016/03/24 Y2 - 2024/03/28 TI - An Improved EWMA-Based Method for Outbreak Detection in Multiple Regions JF - Online Journal of Public Health Informatics JA - OJPHI VL - 8 IS - 1 SE - Poster Presentations DO - 10.5210/ojphi.v8i1.6517 UR - https://ojphi.org/ojs/index.php/ojphi/article/view/6517 SP - AB - <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> ER -