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is ?:annotates of
?:authorAffiliation
  • [\'School of Data Science, City University of Hong Kong, Hong Kong SAR, People\'s Republic of China.\', \'Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.\', \'WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, People\'s Republic of China.\', \'The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, People\'s Republic of China.\', \'School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100190, People\'s Republic of China.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1098/rsta.2021.0127
?:hasPublicationType
?:journal
  • Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
is ?:pmid of
?:pmid
?:pmid
  • 34802267
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • -1.0
?:rankingScore_hIndex
  • -1
?:title
  • Data science approaches to confronting the COVID-19 pandemic: a narrative review.
?:type
?:year
  • 2022

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