@article{Mathes_Lall_Sell_2014, title={Evaluation of Temporal Aberration Detection Methods in New York City Syndromic Data}, volume={6}, url={https://ojphi.org/ojs/index.php/ojphi/article/view/5101}, DOI={10.5210/ojphi.v6i1.5101}, abstractNote={The New York City (NYC) syndromic surveillance system has been monitoring syndromes from city emergency department (ED) visits for over a decade. We applied four aberration detection methodologies to a time series of ED visits in NYC spiked with synthetic outbreaks. Among the methods tested, performance varied by outbreak type and size; sudden large one-day spikes in cases were the most commonly detected, although sensitivity was low.  The methods tested did not perform well; variability in method performance by outbreak type suggests multiple methods may be ideal for detecting different outbreak features.}, number={1}, journal={Online Journal of Public Health Informatics}, author={Mathes, Robert and Lall, Ramona and Sell, Jessica}, year={2014}, month={Mar.} }