On the impact of resource relocation in facing health emergencies
| Autor: | Michele Barbato, Alberto Ceselli, Marco Premoli |
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| Rok vydání: | 2023 |
| Předmět: |
Information Systems and Management
Settore INF/01 - Informatica General Computer Science OR in health services COVID-19 facility location-allocation mathematical programming Modeling and Simulation Settore MAT/09 - Ricerca Operativa Management Science and Operations Research Industrial and Manufacturing Engineering |
| Zdroj: | European Journal of Operational Research. 308:422-435 |
| ISSN: | 0377-2217 |
| Popis: | The outbreak of SARS-CoV-2 and the corresponding surge in patients with severe symptoms of COVID-19 put a strain on health systems, requiring specialized material and human resources, often exceeding the locally available ones. Motivated by a real emergency response system employed in Northern Italy, we propose a mathematical programming approach for rebalancing the health resources among a network of hospitals in a large geographical area. It is meant for tactical planning in facing foreseen peaks of patients requiring specialized treatment. Our model has a clean combinatorial structure. At the same time, it considers the handling of patients by a dedicated home healthcare service, and the efficient exploitation of resource sharing. We introduce mathematical programming heuristic based on decomposition methods and column generation to drive very large-scale neighborhood search. We evaluate its embedding in a multi-objective optimization framework. We experiment on real world data of the COVID-19 in Northern Italy during 2020, whose aggregation and post processing is made openly available to the community. Our approach proves to be effective in tackling realistic instances, thus making it a reliable basis for actual decision support tools. |
| Databáze: | OpenAIRE |
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