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_21
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.02.24.20026682 doi: medRxiv preprint Intelligence Network (GPHIN), identified the early SARS outbreak in China in 2003 more than two months earlier and first alerted the outbreak of Middle East Respiratory Syndrome Coronavirus (known as MERS-CoV) in 2012 [8] . As far as we know, GPHIN and other established tools do not gather data from WeCha.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.02.24.20026682 doi: medRxiv preprint Intelligence Network (GPHIN), identified the early SARS outbreak in China in 2003 more than two months earlier and first alerted the outbreak of Middle East Respiratory Syndrome Coronavirus (known as MERS-CoV) in 2012 [8] . As far as we know, GPHIN and other established tools do not gather data from WeChat, the dominant Chinese social media. The current study shows that gathering and analyzing data from WeChat may be amazing to early detect disease outbreak. This may have an advantage especially for detecting outbreaks in China considering the population of WeChat users. Previous studies used search query data, including Baidu Index, to monitor the activity of emerging infectious diseases [15] [16] [17] . As far as we know, this is the first time to use WeChat data in this field. As the current study indicated, using WeChat data may perform better than using Baidu search query data in early detecting the outbreak of a new disease because people may communicate first in WeChat in the times of WeChat as a lifestyle of Chinese
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