A computational investigation of COVID-19 transmission inside hospital wards and associated costs

David Moreno Martos, Sean Foley, Benjamin Parcell, Dumitru Trucu, Raluca Eftimie (Lead / Corresponding author)

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The COVID-19 pandemic has placed a particular burden on hospitals: from intra-hospital transmission of the infections to reduced admissions of non-COVID-19 patients. There are also high costs associated with the treatment of hospitalised COVID-19 patients, as well as reductions in revenues due to delayed and cancelled treatments. In this study we investigate computationally the transmission of COVID-19 inside a hospital ward that contains multiple-bed bays (with 4 or 6 beds) and multiple single-bed side rooms (that can accommodate the contacts of COVID-19-positive patients). The aim of this study is to investigate the role of 4-bed bays vs. 6-bed bays on the spread of infections and the hospital costs. We show that 4-bed bays are associated with lower infections only when we reduce the discharge time of some patients from 10 days to 5 days. This also leads to lower costs for the treatment of COVID-19 patients. In contrast, 6-bed bays are associated with reduced hospital waiting lists (especially when there are also multiple side rooms available to accommodate the contacts of COVID-19-positive patients identified inside the 6-bed bays).

Original languageEnglish
Pages (from-to)6504-6522
Number of pages19
JournalMathematical Biosciences and Engineering
Issue number7
Publication statusPublished - 25 Apr 2022


  • COVID-19
  • hospital transmission
  • multiple-bed bays
  • multiple bay wards
  • hospital costs
  • computational model
  • numerical predictions


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