id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-135784-ad5avzd6	Gharavi, Erfaneh	Early Outbreak Detection for Proactive Crisis Management Using Twitter Data: COVID-19 a Case Study in the US	2020-05-01		.txt	text/plain	2496	134	59	In the case of COVID-19 pandemic, delay in developing the test kits, the limited number of kits, complicated bureaucratic health care systems, and lack of transparency in data collection procedures are the major origins of postponement of effective preventive interventions and mitigatory (Washington post; Achrekar et al. To offer a framework for outbreak early detection, the result of analysis on Twitter data are compared to the formal dataset provided by John Hopkins University which is openly available to the public for educational and academic research purposes 3 . Looking into the temporal trends in the Twitter data in 50 states of the US, prior to the official detection of the epidemic outbreak in any of the given states, as expected, we observe linear growth in the number of tweets following the news media reporting on the outbreak in china and later in western Europe.	./cache/cord-135784-ad5avzd6.txt	./txt/cord-135784-ad5avzd6.txt