Selected article for: "China SARS outbreak and early detect"
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_5
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint .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 official reporting structures. Internet-based search engines are an important source for health information for people from all walks of life. Analyzing data on search behaviors in turn provides a new approach for detection and monitoring of diseases and symptoms. Technologies using social media, search q.....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint .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 official reporting structures. Internet-based search engines are an important source for health information for people from all walks of life. Analyzing data on search behaviors in turn provides a new approach for detection and monitoring of diseases and symptoms. Technologies using social media, search queries and other Internet resources offer novel and economic approaches for detecting and tracking emerging diseases and have been successfully used in the cases of SARS [8] , influenza [9] , dengue [10] , etc. Herein, we describe the use of such an approach with WeChat, a Chinese social media, to early detect the SARS-Cov-2 outbreak in China, 2019. Internet search queries from Hubei province were also explored.

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