PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Department of Electrical and Computer Engineering, Texas A & M University, College Station, TX, 77843, USA.\', \'Veterinary Integrative Biosciences, Texas A & M University, College Station, TX, 77843, USA.\', \'Department of Epidemiology and Biostatistics, School of Public Health, Texas A & M University, College Station, TX, 77843, USA.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.3934/mbe.2021381
?:doi
?:hasPublicationType
?:journal
  • Mathematical biosciences and engineering : MBE
is ?:pmid of
?:pmid
?:pmid
  • 34814270
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • -1.0
?:rankingScore_hIndex
  • -1
?:title
  • A stochastic metapopulation state-space approach to modeling and estimating COVID-19 spread.
?:type
?:year
  • 2021

Metadata

Anon_0  
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/net/provenance/ns#DataItem>
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.w3.org/2004/03/trix/rdfg-1/Graph>
<http://xmlns.com/foaf/0.1/primaryTopic> <https://research.tib.eu/covid-19/entity/34814270>
<http://xmlns.com/foaf/0.1/topic> Anon_0
<http://www.ontologydesignpatterns.org/cp/owl/informationrealization.owl#realizes> <https://research.tib.eu/covid-19/data/entity/34814270>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all