@article{Elbert_Hung_Burkom_2013, title={Category-Specific Comparison of Univariate Alerting Methods for Biosurveillance Decision Support}, volume={5}, url={https://ojphi.org/ojs/index.php/ojphi/article/view/4411}, DOI={10.5210/ojphi.v5i1.4411}, abstractNote={We compared detection performance of univariate alerting methods on real and simulated events in different types of biosurveillance data. Both kinds of detection performance analysis showed the method based on Holt-Winters exponential smoothing superior on non-sparse time series with day-of-week effects. The adaptive CUSUM and Shewhart methods proved optimal on sparse data and data without weekly patterns.}, number={1}, journal={Online Journal of Public Health Informatics}, author={Elbert, Yevgeniy and Hung, Vivian and Burkom, Howard}, year={2013}, month={Mar.} }