id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-346309-hveuq2x9	Reis, Ben Y	An Epidemiological Network Model for Disease Outbreak Detection	2007-06-26		.txt	text/plain	8419	382	46	CONCLUSIONS: The integrated network models of epidemiological data streams and their interrelationships have the potential to improve current surveillance efforts, providing better localized outbreak detection under normal circumstances, as well as more robust performance in the face of shifts in health-care utilization during epidemics and major public events. In order to both improve overall detection performance and reduce vulnerability to baseline shifts, we introduce a general class of epidemiological network models that explicitly capture the relationships among epidemiological data streams. In order to evaluate the practical utility of this approach for surveillance, we constructed epidemiological network models based on real-world historical health-care data and compared their outbreak-detection performance to that of standard historical models. In this study, the researchers developed a new class of surveillance systems called ''epidemiological network models.'' These systems aim to improve the detection of disease outbreaks by monitoring fluctuations in the relationships between information detailing the use of various health-care resources over time (data streams).	./cache/cord-346309-hveuq2x9.txt	./txt/cord-346309-hveuq2x9.txt