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is ?:annotates of
?:authorAffiliation
  • [\'MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK. o.watson15@imperial.ac.uk.\', \'Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.\', \'Syria Team, Conflict Research Programme, London Schools of Economics, London, UK.\', \'MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.\', \'Google Cloud Developer Advocacy, Google, London, UK.\', \'Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.\', \'European Institute of Peace, Brussels, Belgium.\', \'Middle East Institute, Washington, DC, USA.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1038/s41467-021-22474-9
?:doi
?:hasPublicationType
?:journal
  • Nature communications
is ?:pmid of
?:pmid
?:pmid
  • 33888698
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  • 6.582
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  • 198
?:title
  • Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria.
?:type
?:year
  • 2021

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