ArticleHealth care management science2021
Real-time forecasting of COVID-19 bed occupancy in wards and Intensive Care Units.
Article in Health care management science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Looking for the crystal ball in unscheduled care: a systematic literature review of the forecasting process.Health care management science · 2025Pooled it
- A stochastic programming approach for dynamic allocation of bed capacity and assignment of patients to collaborating hospitals during pandemic outbreaks.Health care management science · 2026Article
- Optimizing MRI Scheduling in High-Complexity Hospitals: A Digital Twin and Reinforcement Learning Approach.Bioengineering (Basel, Switzerland) · 2025Article
- Evaluation of a pragmatic approach to predicting COVID-19-positive hospital bed occupancy.BMJ health & care informatics · 2025Observational
- Time series forecasting of bed occupancy in mental health facilities in India using machine learning.Scientific reports · 2025Article
- Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort Study.JMIR medical informatics · 2024Article
- A forecasting tool for a hospital to plan inbound transfers of COVID-19 patients from other regions.BMC public health · 2024Article
- Forecasting ward-level bed requirements to aid pandemic resource planning: Lessons learned and future directions.Health care management science · 2023Article
- A queuing model for ventilator capacity management during the COVID-19 pandemic.Health care management science · 2023Article
- Forecasting ICU Census by Combining Time Series and Survival Models.Critical care explorations · 2023Article
- Dynamic fair balancing of COVID-19 patients over hospitals based on forecasts of bed occupancy.Omega · 2023Article
- Unraveling the COVID-19 hospitalization dynamics in Spain using Bayesian inference.BMC medical research methodology · 2023Article
- Modeling COVID-19 hospital admissions and occupancy in the Netherlands.European journal of operational research · 2023Article
- Transition matrices model as a way to better understand and predict intra-hospital pathways of covid-19 patients.Scientific reports · 2022Article
- Associations between the COVID-19 Pandemic and Hospital Infrastructure Adaptation and Planning-A Scoping Review.International journal of environmental research and public health · 2022Article
- Clinical characteristics and outcomes of hospitalized patients with COVID-19 in a Brazilian hospital: a retrospective study of the first and second waves.IJID regions · 2022Article
- Modeling robust COVID-19 intensive care unit occupancy thresholds for imposing mitigation to prevent exceeding capacities.PLOS global public health · 2022Article
- Introduction to the special issue: Management Science in the Fight Against Covid-19.Health care management science · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper presents a mathematical model that provides a real-time forecast of the number of COVID-19 patients admitted to the ward and the Intensive Care Unit (ICU) of a hospital based on the predicted inflow of patients, their Length of Stay (LoS) in both the ward and the ICU as well as transfer of patients between the ward and the ICU. The data required for this forecast is obtained directly from the hospital's data warehouse. The resulting algorithm is tested on data from the first COVID-19 peak in the Netherlands, showing that the forecast is very accurate. The forecast may be visualised in real-time in the hospital's control centre and is used in several Dutch hospitals during the second COVID-19 peak.
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