id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-264302-8vo5psgm	Lu, Yue	Social media WeChat infers the development trend of COVID-19	2020-04-10		.txt	text/plain	1088	66	68	5 Information and discussions on COVID-19 spread rapidly on social media, so the use of big data allows more people to pay attention to these situations earlier. Here, through the keyword query in the WeChat index, we analyzed the public attention and demand for the COVID-19 pandemic. First of all, the hottest words in the pandemic are "Wuhan", "novel coronavirus" and "pneumonia" ( Fig. 1 A) . Thus, during the period from the end of January to the beginning of February, the public attention focused on those words. Through analysis of public concerns, we review the development trend of COVID-19, which will set up an example for future outbreaks of epidemic diseases. It is believed that public health authorities will rely more on these social medias in the future for monitoring the development of the epidemic or pandemic. Retrospective analysis of the possibility of predicting the COVID-19 outbreak from internet searches and social media data, China	./cache/cord-264302-8vo5psgm.txt	./txt/cord-264302-8vo5psgm.txt