id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-289389-xailjga5	Wang, Xiaoli	Comparing early outbreak detection algorithms based on their optimized parameter values	2009-08-13		.txt	text/plain	5152	297	56	BACKGROUND: Many researchers have evaluated the performance of outbreak detection algorithms with recommended parameter values. METHODS: Based on reported case counts of bacillary dysentery from 2005 to 2007 in Beijing, semi-synthetic datasets containing outbreak signals were simulated to evaluate the performance of five outbreak detection algorithms. We compared the performance of five outbreak detection algorithms, the exponential weighted moving average (EWMA), C1-MILD (C1), C2-MEDIUM (C2), C3-ULTRA (C3) and the spacetime permutation scan statistic model. The correlation coefficients between the three evaluation indices (sensitivity, specificity and time to detection) and parameter values were calculated. All algorithms showed strong relation between the evaluation indices and the parameter' values, except space-time permutation scan statistic. In our study we found that space-time permutation scan statistics and the EWMA outperformed other algorithms both in terms of timeliness and accuracy for detecting bacillary dysentery outbreaks.	./cache/cord-289389-xailjga5.txt	./txt/cord-289389-xailjga5.txt