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COVID-19 length of hospital stay: a systematic review and data synthesis.

Eleanor M ReesEmily S NightingaleYalda JafariNaomi R WaterlowSamuel CliffordCarl A B PearsonCmmid Working GroupThibaut JombartSimon R ProcterGwenan M Knight
Published in: BMC medicine (2020)
Patients with COVID-19 in China appeared to remain in hospital for longer than elsewhere. This may be explained by differences in criteria for admission and discharge between countries, and different timing within the pandemic. In the absence of local data, the combined summary LoS distributions provided here can be used to model bed demands for contingency planning and then updated, with the novel method presented here, as more studies with aggregated statistics emerge outside China.
Keyphrases
  • coronavirus disease
  • sars cov
  • electronic health record
  • healthcare
  • big data
  • emergency department
  • adverse drug
  • acute care
  • respiratory syndrome coronavirus
  • machine learning
  • data analysis
  • artificial intelligence