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is ?:annotates of
?:authorAffiliation
  • [\'Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.\', \'School of Computing, Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA.\', \'Department of Sociology, University of Maryland, College Park, MD 20742, USA.\', \'Intermountain Healthcare Delivery Institute, Intermountain Healthcare, Murray, UT 84107, USA.\', \'Department of Community Health Sciences, Boston University School of Public Health, Boston, MA 02118, USA.\', \'Department of Electrical and Computer Engineering, Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • E635910.3390/ijerph17176359
?:hasPublicationType
?:journal
  • International journal of environmental research and public health
is ?:pmid of
?:pmid
?:pmid
  • 32882867
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 0.735
?:rankingScore_hIndex
  • 67
is ?:relation_isRelatedTo_publication of
?:title
  • Using 164 Million Google Street View Images to Derive Built Environment Predictors of COVID-19 Cases.
?:type
?:year
  • 2020

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