首页    期刊浏览 2024年07月08日 星期一
登录注册

文章基本信息

  • 标题:On Identification of High Risk Carriers of COVID-19 Using Masked Mobile Device Data
  • 本地全文:下载
  • 作者:Da Huang ; Xuening Zhu ; Weidong Luo
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2020
  • 卷号:18
  • 期号:5
  • 页码:849-859
  • DOI:10.6339/JDS.202012_18(5).0002
  • 出版社:Tingmao Publish Company
  • 摘要:Millions of people travel from Wuhan to other cities from Jan. 1st 2020 to Jan 23rd 2020. Taking advantage of the masked software development kit data from Aurora Mobile Ltd and open epidemic data released by health authorities, we analyze the relationship between number of confirmed COVID-19 cases in a region and the people who traveled from Wuhan to this region in this period. Further, we identify high risk carriers of COVID-19 to improve the control of COVID-19. The key findings are three-folds: (1) in each region the number of high-risk carriers is highly positively correlated with the severity of illness; (2) history of visit to the 62 designated hospitals is the foremost index of risk; (3) the second most important index is the travelers’ duration of stay in Wuhan. Based on our analysis, we estimate that, as of February 4, 2020, (a) among the 8.5 million people held up in Wuhan, there are 425 thousand high risk carriers; and (b) among all the 3.5 million migrant workers held up in Hubei, there are 175 thousand high risk carriers. The disease control authorities should closely minotor these groups.
  • 关键词:mobile device software development kit; risk scoring; SARS-CoV-2
国家哲学社会科学文献中心版权所有