id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-345315-y3bdjnhg	Dai, Yaoyao	Identifying the outbreak signal of COVID-19 before the response of the traditional disease monitoring system	2020-10-01		.txt	text/plain	3327	200	55	We performed a comparative study to determine the feasibility of the early detection of the COVID-19 outbreak in China based on influenza surveillance data and the internet-based Baidu search index to evaluate the timelines of the alert signals compared with the traditional case reporting and response systems. The findings from this study suggest that monitoring abnormal surges of ILI and identifying peaks of online searches of key terms can provide early signals of novel disease outbreaks. In this study, we performed a comparative study to discuss the early warning capability, timelines, and validity of alert signals for the first wave of the COVID-19 outbreak in China based on the surveillance data of influenza-like illness (ILI) and the Baidu Search Index (BSI) compared with the traditional case reporting system.	./cache/cord-345315-y3bdjnhg.txt	./txt/cord-345315-y3bdjnhg.txt