id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-256943-71tnv4lp	Santillana, Mauricio	Using Clinicians’ Search Query Data to Monitor Influenza Epidemics	2014-08-12		.txt	text/plain	2130	103	46	Search query information from a clinician's database, UpToDate, is shown to predict influenza epidemics in the United States in a timely manner. Google Flu Trends (GFT) demonstrated a link between influenzarelated search query data and the Centers for Disease Control and Prevention's (CDC) influenza-like Illness (ILI) index [5] . Internet search queries are available much earlier than data from validated traditional surveillance systems and have the potential to provide timely epidemiologic intelligence to inform prevention messaging and healthcare facility staffing decisions. Specifically, we use UpTo-Date's search query activity related to ILI to design a timely sentinel of influenza incidence in the United States. In this study, we demonstrate that search queries from the Up-ToDate database in conjunction with a dynamic multivariate methodology can be successfully utilized to obtain real-time estimates of influenza incidence in the United States before the release of official reports.	./cache/cord-256943-71tnv4lp.txt	./txt/cord-256943-71tnv4lp.txt