确定最佳的COVID-19测试中心位置和能力
Esma Akgun1, Sibel A Alumur1, F Safa Erenay2
1Department of Management Science and Engineering, University of Waterloo, Waterloo, Ontario, Canada.
Health care management science
|November 7, 2023
概括
这项研究优化了COVID-19测试中心的位置和能力,以提高高需求期间的可访问性. 一个动态模型建议扩大现有中心,并在人口密地区增加弹出站点以节省成本.
科学领域:
- 运营研究 运营研究
- 公共卫生管理 公共卫生管理
- 流行病学 流行病学
背景情况:
- 对于COVID-19测试的需求激增使现有的样本收集中心能力受到压力.
- 确保可访问和及时的聚合酶链反应 (PCR) 测试对于流行病期间的公共卫生至关重要.
- 资源分配效率低下导致延误,并降低了测试可访问性.
研究的目的:
- 开发和应用一个优化模型来确定COVID-19样本采集中心的最佳位置和容量.
- 通过改善各种约束条件下的测试可访问性,尽量减少延迟的预约和样本.
- 为公共卫生决策者提供关于测试基础设施扩张的数据驱动洞察力.
主要方法:
- 开发了一个双层多期位置和容量分配模型.
- 整合预算,容量和周转时间限制到优化中.
- 将模型应用于加拿大沃特卢地区的一项案例研究,使用真实世界的数据.
- 在不确定的需求场景下测试模型性能.
主要成果:
- 最优的策略包括动态扩大现有中心的能力,并战略性地放置弹出设施.
- 弹出中心最好位于实验室附近人口密的地区,根据需求选择会有所不同.
- 与静态方法相比,多期模型在高需求下显示了高达39%的潜在成本节约.
结论:
- 动态容量扩张和有针对性的弹出中心放置是管理测试需求激增的有效策略.
- 优化测试资源的分配大大提高了可访问性,减少了延误.
- 该模型为公共卫生官员提供了有价值的指导,用于规划和分配用于测试基础设施的资源.
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