Author: Wenjun Wang; Yikai Wang; Xin Zhang; Yaping Li; Xiaoli Jia; Shuangsuo Dang
Title: WeChat, a Chinese social media, may early detect the SARS-CoV-2 outbreak in 2019 Document date: 2020_2_26
ID: g3asp1ps_24
Snippet: In summary, using data of WeChat, a Chinese social media, may early detect the SARS-CoV-2 outbreak in China in 2019. If WeChat Index for the keyword Feidian were monitored, the outbreak would be detected 2 weeks earlier. Future studies can prospectively gather and analyze data from WeChat to early detect SARS-CoV-2-like outbreaks as well as outbreaks of other diseases in China. Tracing the source of keywords that behave abnormally in frequencies .....
Document: In summary, using data of WeChat, a Chinese social media, may early detect the SARS-CoV-2 outbreak in China in 2019. If WeChat Index for the keyword Feidian were monitored, the outbreak would be detected 2 weeks earlier. Future studies can prospectively gather and analyze data from WeChat to early detect SARS-CoV-2-like outbreaks as well as outbreaks of other diseases in China. Tracing the source of keywords that behave abnormally in frequencies in WeChat, . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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