PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, UK. quentin.leclerc@lshtm.ac.uk.\', \'Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, UK.\', \'Department of Medical Statistics, Faculty of Epidemiology & Population Health, Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London, UK.\', \'University College London Hospitals NHS Foundation Trust, London, UK.\', \'NIHR Health Protection Research Unit, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.\', \'Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1186/s12913-021-06509-x
?:hasPublicationType
?:journal
  • BMC health services research
is ?:pmid of
?:pmid
?:pmid
  • 34107928
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.151
?:rankingScore_hIndex
  • 83
is ?:relation_isRelatedTo_publication of
?:title
  • Importance of patient bed pathways and length of stay differences in predicting COVID-19 hospital bed occupancy in England.
?:type
?:year
  • 2021

Metadata

Anon_0  
expand all