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is ?:annotates of
?:authorAffiliation
  • [\'Department of Communication, University of California, Davis, Davis, CA, United States.\', \'Department of Science Communication and Science Policy, University of Science and Technology of China, Hefei, China.\', \'School of Journalism and Communication, Tsinghua University, Beijing, China.\', \'Department of Public Health Sciences, University of California, Davis, Davis, CA, United States.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.2196/19421
?:doi
?:hasPublicationType
?:journal
  • Journal of medical Internet research
is ?:pmid of
?:pmid
?:pmid
  • 32452804
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 2.112
?:rankingScore_hIndex
  • 102
?:title
  • Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study.
?:type
?:year
  • 2020

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