id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-348526-g3asp1ps	Wang, Wenjun	WeChat, a Chinese social media, may early detect the SARS-CoV-2 outbreak in 2019	2020-02-26		.txt	text/plain	2341	149	63	We plotted daily data on the frequencies of keywords related to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from WeChat, a Chinese social media. Using WeChat Index, we obtained daily data from Nov 17, 2019 to Feb 14, 2020 for the keywords related to the SARS-Cov-2 disease such as "SARS", "Feidian (Chinese abbreviation for severe acute respiratory syndrome)", "pneumonia", "fever", "cough", "shortness of breath", "dyspnea", "fatigue", "stuffy nose", "runny nose", "diarrhea", "coronavirus", "novel coronavirus", and "infection" (see the raw data in Appendix A). By exploring daily data from WeChat, a Chinese social media, we found that the frequencies of several keywords related to the SARS-Cov-2 disease behaved abnormally during a period ahead of the outbreak in China, 2019. Gathering and analyzing data from social media, Internet search queries, news wires and web sites represents a novel approach to early warning and detection of disease outbreaks and is a supplementary to traditional surveillance systems [6] .	./cache/cord-348526-g3asp1ps.txt	./txt/cord-348526-g3asp1ps.txt