PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Department of Population Health Sciences, Georgia State University, Atlanta, Georgia, United States of America.\', \'School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.\', \'EPAM Systems, Saint Petersburg, Russia.\', \'Department of Computer Science, Georgia State University, Atlanta, Georgia, United States of America.\', \'Department of Internal Medicine, University of South Florida, Tampa, Florida, United States of America.\', \'N.N. Petrov Research Institute of Oncology, Saint Petersburg, Russia.\', \'Quantori, Cambridge, Massachusetts, United States of America.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1371/journal.pone.0247182
?:hasPublicationType
?:journal
  • PloS one
is ?:pmid of
?:pmid
?:pmid
  • 33596247
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.164
?:rankingScore_hIndex
  • 241
?:title
  • Development of an interactive, agent-based local stochastic model of COVID-19 transmission and evaluation of mitigation strategies illustrated for the state of Massachusetts, USA.
?: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/33596247>
<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/33596247>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all