Optimal COVID-19 Vaccination Facility Location
Optimal COVID-19 Vaccination Facility Location
复制标题
COVID-19 疫苗接种设施的最佳位置
DOI:
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复制
发表时间:
2022
期刊:
影响因子:
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通讯作者:
Elisa Long
中科院分区:
文献类型:
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作者:
Fernanda Bravo;Jingyuan Hu;Elisa Long
Socioeconomic disparities in COVID-19 vaccination rates are partly attributable to poor vaccination site selection, often requiring excessively burdensome travel distances. In early 2021, the U.S. government launched the Federal Retail Pharmacy Program (FRPP) to offer new access points, yet these pharmacies tend to locate in high-income, urban areas. We empirically examine how proximity to a vaccination site relates to uptake using cross-sectional data within California. Using Healthy Places Index (HPI)—a composite measure of a community’s health—we find that the lowest HPI quartile residents are significantly more sensitive to distance than those in the top quartile. Halving the distance required to get vaccinated increases vaccinations by 5% in the lowest quartile, five-times the expected change in the top quartile. Panel data regression analyses confirm that reducing distance to a mass vaccination site causally increases vaccinations. Integrating our vaccination demand curves into a facility location model, we compute the change in distance to a vaccination site—and the associated gain in vaccination uptake—following optimal site selection. We expand the set of feasible locations to include dollar stores, which typically locate in lower-income communities hardest hit by the pandemic. Replacing 744 (18%) of the 4,035 existing pharmacies with optimally chosen dollar stores increases vaccinations by 1.5 million in California, including 530,000 in the bottom HPI quartile. Ignoring demand heterogeneity widens the vaccination gap, as resources shift to healthier and wealthier communities. Our study offers a quantitative framework to help policymakers with future vaccine allocation and access to boosters, particularly for marginalized populations.
DOI:
10.1016/j.cor.2022.106028
发表时间:
2021-03
期刊:
Comput. Oper. Res.
影响因子:
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作者:
Beste Basciftci;Xian Yu;Siqian Shen
通讯作者:
Beste Basciftci;Xian Yu;Siqian Shen