PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'School of Natural Sciences (SNS), National University of Sciences and Technology (NUST), Islamabad, Pakistan.\', \'Global Change Impact Studies Centre (GCISC), Ministry of Climate Change, Islamabad, Pakistan.\', \'Health Services Academy, Islamabad, Pakistan.\', \'ClimatExperts, Islamabad, Pakistan.\', \'Ministry of National Health Services, Regulations and Coordination Islamabad, Islamabad, Pakistan.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1371/journal.pone.0253367
?:doi
?:hasPublicationType
?:journal
  • PloS one
is ?:pmid of
?:pmid
?:pmid
  • 34138956
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.164
?:rankingScore_hIndex
  • 241
?:title
  • Forecasting daily new infections, deaths and recovery cases due to COVID-19 in Pakistan by using Bayesian Dynamic Linear Models.
?: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/34138956>
<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/34138956>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all