Modeling COVID-19 hospital admissions and occupancy in the Netherlands

René Bekker, Michiel uit het Broek and Ger Koole

European Journal of Operational Research, 2023, vol. 304, issue 1, 207-218

Abstract: We describe the models we built for predicting hospital admissions and bed occupancy of COVID-19 patients in the Netherlands. These models were used to make short-term decisions about transfers of patients between regions and for long-term policy making. For forecasting admissions we developed a new technique using linear programming. To predict occupancy we fitted residual lengths of stay and used results from queueing theory. Our models increased the accuracy of and trust in the predictions and helped manage the pandemic, minimizing the impact in terms of beds and maximizing remaining capacity for other types of care.

Keywords: OR in health services; Prediction; COVID-19 hospital admissions; Bed occupancy levels (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:304:y:2023:i:1:p:207-218

DOI: 10.1016/j.ejor.2021.12.044

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