id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-000059-5hwqdnx1	Tokars, Jerome I.	Enhancing Time-Series Detection Algorithms for Automated Biosurveillance	2009-04-17		.txt	text/plain	4407	207	54	At a constant alert rate of 1%, sensitivity was improved for both datasets by using a minimum standard deviation (SD) of 1.0, a 14–28 day baseline duration for calculating mean and SD, and an adjustment for total clinic visits as a surrogate denominator. These enhanced methods may increase sensitivity without increasing the alert rate and may improve the ability to detect outbreaks by using automated surveillance system data. For the DoD and hospital ED datasets, sensitivity was improved by using a higher minimum SD of 1.0, a longer baseline duration of 28 days, and adjusting for total visits. Stratifi cation by weekday versus weekend day improves expected value calculations when a substantial day-of-week effect exists, such as in the DoD data. Sensitivity of detecting various numbers of additional counts, by using initial versus best algorithms for hospital emergency department chief complaint data, for selected BioSense data.	./cache/cord-000059-5hwqdnx1.txt	./txt/cord-000059-5hwqdnx1.txt