PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'The William States Lee College of Engineering, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, 28223, USA.\', \'Department of Urban and Regional Planning, Khulna University of Engineering & Technology (KUET), Khulna, 9203, Bangladesh.\', \'Department of Geography and Earth Sciences, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, 28223, USA.\', \'Department of Geography and Earth Sciences, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, 28223, USA. jfthill@uncc.edu.\', \'School of Data Science, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, 28223, USA. jfthill@uncc.edu.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1038/s41598-021-01119-3
?:hasPublicationType
?:journal
  • Scientific reports
is ?:pmid of
?:pmid
?:pmid
  • 34741093
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.533
?:rankingScore_hIndex
  • 122
?:title
  • Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network.
?:type
?:year
  • 2021

Metadata

Anon_0  
expand all