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  • 标题:Estimating the Fatality Burden of SARS-CoV2
  • 本地全文:下载
  • 作者:Barry Smyth
  • 期刊名称:Digital Government: Research and Practice
  • 印刷版ISSN:2691-199X
  • 电子版ISSN:2639-0175
  • 出版年度:2021
  • 卷号:2
  • 页码:1-8
  • DOI:10.1145/3436997
  • 语种:English
  • 出版社:Association for Computing Machinery
  • 摘要:As the world struggles with the SARS-CoV2 pandemic, public health officials and governmentscontinue to refine the key metrics that are used to capture and compare the state of the pandemic and the effects of responses within and between countries and regions.This workpresents a novel fatality metric, the CoVID-19 burden, which normalises SARS-CoV2 fatalitieswith respect to historical mortality rates over the same period of time. We argue that thismeasure provides an improved basis for comparing fatality rates between countries, and wepresent an analysis of this measure across 174 countries, using data up to November 15, 2020,to better understand the impact of the virus in different countries and regions.
  • 关键词:Data science;COVID-19
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