Abstract
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 language | English |
|---|---|
| Pages (from-to) | 6504-6522 |
| Number of pages | 19 |
| Journal | Mathematical Biosciences and Engineering |
| Volume | 19 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 25 Apr 2022 |
Keywords
- COVID-19
- hospital transmission
- multiple-bed bays
- multiple bay wards
- hospital costs
- computational model
- numerical predictions
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