WeChat, a Chinese social media, may early detect the SARS-CoV-2 outbreak in 2019

Author:

Wang Wenjun,Wang Yikai,Zhang Xin,Li Yaping,Jia Xiaoli,Dang Shuangsuo

Abstract

AbstractWe plotted daily data on the frequencies of keywords related to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from WeChat, a Chinese social media. Using “Feidian”, Chinese abbreviation for SARS, may detect the SARS-CoV-2 outbreak in 2019 two weeks earlier. WeChat offered a new approach to early detect disease outbreaks.

Publisher

Cold Spring Harbor Laboratory

Reference18 articles.

1. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

2. Lu, R. , et al., Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet (London, England), 2020: p. S0140-6736(20)30251–8.

3. A Novel Coronavirus from Patients with Pneumonia in China, 2019

4. Gorbalenya, A.E. , et al., Severe acute respiratory syndrome-related coronavirus: The species and its viruses – a statement of the Coronavirus Study Group. bioRxiv, 2020: p. 2020.02.07.937862.

5. World Health Orgnization,, https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports/.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3