Optimizing vaccine distribution via mobile clinics: a case study on COVID-19 vaccine distribution to long-term care facilities.
Optimizing vaccine distribution via mobile clinics: a case study on COVID-19 vaccine distribution to long-term care facilities.
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DOI：
10.1016/j.vaccine.2021.12.049
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发表时间：
2022-01-31
期刊：
影响因子：
5.5
通讯作者：
Chaguturu SK
中科院分区：
文献类型：
--
作者：
Shukla S;Fressin F;Un M;Coetzer H;Chaguturu SK
生活在聚集性社区中有健康合并症的人极易感染COVID-19。迅速为脆弱人群接种疫苗对于减少死亡和减轻卫生保健系统的压力至关重要。我们提出了一项通过移动货车向美国47,907家长期护理机构（ltcf）的居民/工作人员分发COVID-19疫苗的案例研究，这些机构依赖于算法来优化疫苗分发。我们开发了一个在供应受限环境下向高风险人群分发疫苗的建模框架。我们的框架将这一挑战分解为两个独立的问题：分配问题，我们以最佳方式映射每个LTCF以选择负责分发疫苗的CVS商店；还有一个调度问题，我们开发了一种算法来有效地分配可用资源。我们指定了1,214家零售店作为向美国各地的长期疫苗中心分发疫苗的仓库。41%的匹配的仓库- ltcf对在5英里内的仓库，74%在20英里内，只有8%映射到50英里以外的仓库。我们的两步方法确保了在76%的州，第一次LTCF疫苗接种剂量在计划开始日期后9天内分发，并且超过90%的剂量是在最短的时间内施用的。我们证明了算法方法在最大化疫苗分配效率方面是有用的。我们的学习和框架可能对其他组织有用，包括可以建立流动诊所的社区，以便在各种情况下有效地分发疫苗和其他医疗保健资源。
People living in clustered communities with health comorbidities are highly vulnerable to COVID-19 infection. Rapid vaccination of vulnerable populations is critical to reducing fatalities and mitigating strain on healthcare systems. We present a case study on COVID-19 vaccine distribution via mobile vans to residents/staff of 47,907 long-term care facilities (LTCFs) across the United States that relied on algorithms to optimize vaccine distribution. We developed a modeling framework for vaccine distribution to high-risk populations in a supply-constrained environment. Our framework decomposed this challenge as two separate problems: an assignment problem where we optimally mapped each LTCF to select CVS stores responsible for distributing vaccines; and a scheduling problem where we developed an algorithm to assign available resources efficiently. We assigned 1,214 retail stores as depots for vaccine distribution to LTCFs throughout the United States. Forty-one percent of matched depot-LTCF pairs were within 5 miles of a depot, 74% were within 20 miles, and only 8% mapped to depots farther than 50 miles away. Our two-step approach ensured that the first LTCF vaccination dose was distributed within 9 days after the program start date in 76% of states, and greater than 90% of doses were administered in the minimum amount of time. We demonstrate that algorithmic approaches are instrumental in maximizing vaccine distribution efficiency. Our learning and framework may be of use to other organizations, including communities where mobile clinics can be established to efficiently distribute vaccines and other healthcare resources in a variety of scenarios.
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影响因子：
3
作者：
Tomescu AI;Kuosmanen A;Rizzi R;Mäkinen V
通讯作者：
Mäkinen V
影响因子：
2.8
作者：
Pitt C;Roberts B;Checchi F
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通讯作者：
Gaetz, Stephen
DOI：
10.15585/mmwr.mm695152e2
发表时间：
2021-01-01
期刊：
MMWR. Morbidity and mortality weekly report
影响因子：
--
作者：
通讯作者：
--
DOI：
10.1377/hlthaff.2020.02054
发表时间：
2021-01
期刊：
Health affairs (Project Hope)
影响因子：
--
作者：
Paltiel AD;Schwartz JL;Zheng A;Walensky RP
通讯作者：
Walensky RP