id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-018632-azrqz6hf	Ganasegeran, Kurubaran	Artificial Intelligence Applications in Tracking Health Behaviors During Disease Epidemics	2019-11-21		.txt	text/plain	4312	231	37	Artificial Intelligence (AI) offers new hope in not only effectively pre-empting, preventing and combating the threats of infectious disease epidemics, but also facilitating the understanding of health-seeking behaviors and public emotions during epidemics. The human population is currently able to access potentially useful massive data sources of infectious disease spread through sentinel reporting systems, national surveillance systems (usually operated by national or regional disease centers such as the Center for Disease Control (CDC)), genome databases, internet search queries (also called infodemiology and infoveillance studies) [10] [11] [12] , Twitter data analysis [13, 14] , outbreak investigation reports, transportation dynamics [15] , vaccine reports [16] and human dynamics information [17] . With such high fluxes of health-seeking behavior using computers, a group of Italian researchers' evaluated Google Trends search queries for terms related to "Ebola" outbreak at the global level and across countries where primary cases of Ebola were reported [26] .	./cache/cord-018632-azrqz6hf.txt	./txt/cord-018632-azrqz6hf.txt