PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'West Virginia Clinical and Translational Science Institute, Morgantown, West Virginia, United States of America.\', \'Management Information Systems Department, West Virginia University, Morgantown, West Virginia, United States of America.\', \'School of Mathematics and Data Science, West Virginia University, Morgantown, West Virginia, United States of America.\', \'Department of Epidemiology and Biostatistics, West Virginia University, Morgantown, West Virginia, United States of America.\', \'West Virginia University School of Medicine, Morgantown, West Virginia, United States of America.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1371/journal.pone.0259538
?:doi
?:hasPublicationType
?:journal
  • PloS one
is ?:pmid of
?:pmid
?:pmid
  • 34731188
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.164
?:rankingScore_hIndex
  • 241
?:title
  • Predicting increases in COVID-19 incidence to identify locations for targeted testing in West Virginia: A machine learning enhanced approach.
?:type
?:year
  • 2021

Metadata

Anon_0  
expand all