๐ Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020.
The peak of Internet searches and social media data about the coronavirus disease 2019 (COVID-19) outbreak occurred 10-14 days earlier than the peak of daily incidences in China. Internet searches and social media data had high correlation with daily incidences, with the maximum r > 0.89 in all correlations. The lag correlations also showed a maximum correlation at 8-12 days for laboratory-confirmed cases and 6-8 days for suspected cases.
keywords
๐ *Baidu Index ()
๐ *COVID-19 (1240)
๐ *Google Trends (3)
๐ *Internet surveillance ()
๐ *Weibo Index ()
๐ *coronavirus (5664)
๐ social media (17)
author
๐ค Li, Cuilian
๐ค Chen, Li Jia
๐ค Chen, Xueyu
๐ค Zhang, Mingzhi
๐ค Pang, Chi Pui
๐ค Chen, Haoyu
year
โฐ 2020
journal
๐ Euro Surveill
issn
๐
volume
number
page
citedbycount
0
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