ArticleFrontiers in public health2022
An Agile Systems Modeling Framework for Bed Resource Planning During COVID-19 Pandemic in Singapore.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic literature review on public health and healthcare resources for pandemic preparedness planning.BMC public health · 2024Pooled it
- Optimal resource allocation model for COVID-19: a systematic review and meta-analysis.BMC infectious diseases · 2024Pooled it
- Comparative efficiency of Asian surgical systems in COVID-19 response: a multi-level longitudinal benchmarking study.BMJ public health · 2026Article
- Implementing system dynamics in hospital services to improve operational efficiency: An empirical research study.Health research policy and systems · 2025Article
- Article
- A simulation model for predicting hospital occupancy for Covid-19 using archetype analysis.Healthcare analytics (New York, N.Y.) · 2023Article
- Allocation of emergency medical resources for epidemic diseases considering the heterogeneity of epidemic areas.Frontiers in public health · 2023Article
- Machine Learning Models for Predicting Short-Long Length of Stay of COVID-19 Patients.Procedia computer science · 2022Article
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Authors and funding
9 authors.
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Abstract
Background: The COVID-19 pandemic has had a major impact on health systems globally. The sufficiency of hospitals' bed resource is a cornerstone for access to care which can significantly impact the public health outcomes. Objective: We describe the development of a dynamic simulation framework to support agile resource planning during the COVID-19 pandemic in Singapore. Materials and Methods: The study data were derived from the Singapore General Hospital and public domain sources over the period from 1 January 2020 till 31 May 2020 covering the period when the initial outbreak and surge of COVID-19 cases in Singapore happened. The simulation models and its variants take into consideration the dynamic evolution of the pandemic and the rapidly evolving policies and processes in Singapore. Results: The models were calibrated against historical data for the Singapore COVID-19 situation. Several variants of the resource planning model were rapidly developed to adapt to the fast-changing COVID-19 situation in Singapore. Conclusion: The agility in adaptable models and robust collaborative management structure enabled the quick deployment of human and capital resources to sustain the high level of health services delivery during the COVID-19 surge.
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