id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-018746-s9knxdne	Perra, Nicola	Modeling and Predicting Human Infectious Diseases	2015-04-23		.txt	text/plain	9708	543	53	Building on these concepts we present two realistic data-driven epidemiological models able to forecast the spreading of infectious diseases at different geographical granularities. The unprecedented amount of data on human dynamics made available by recent advances technology has allowed the development of realistic epidemic models able to capture and predict the unfolding of infectious disease at different geographical scales [59] . The new approach allows for the early detection of disease outbreaks [62] , the real time monitoring of the evolution of a disease with an incredible geographical granularity [63] [64] [65] , the access to health related behaviors, practices and sentiments at large scales [66, 67] , inform data-driven epidemic models [68, 69] , and development of statistical based models with prediction power [67, [70] [71] [72] [73] [74] [75] [76] [77] [78] .	./cache/cord-018746-s9knxdne.txt	./txt/cord-018746-s9knxdne.txt