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  • 标题:Capturing the COVID-19 Crisis through Public Health and Social Measures Data Science
  • 本地全文:下载
  • 作者:Cindy Cheng ; amélie Desvars-Larrive ; Bernhard Ebbinghaus
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-9
  • DOI:10.1038/s41597-022-01616-8
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:In response to COVID-19, governments worldwide are implementing public health and social measures (PHSM) that substantially impact many areas beyond public health . The new feld of PHSM data science collects, structures, and disseminates data on PHSM; here, we report the main achievements, challenges, and focus areas of this novel feld of research .
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