Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response
Not on the map. Why?
Abstract (arXiv)
In response to COVID-19, many countries have mandated social distancing and banned large group gatherings in order to slow down the spread of SARS-CoV-2. These social interventions along with vaccines remain the best way forward to reduce the spread of SARS CoV-2. In order to increase vaccine accessibility, states such as Virginia have deployed mobile vaccination centers to distribute vaccines across the state. When choosing where to place these sites, there are two important factors to take into account: accessibility and equity. We formulate a combinatorial problem that captures these factors and then develop efficient algorithms with theoretical guarantees on both of these aspects. Furthermore, we study the inherent hardness of the problem, and demonstrate strong impossibility results. Finally, we run computational experiments on real-world data to show the efficacy of our methods.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 5 of its 38 references that are in the map. First posted on arXiv 9 Feb 2022.
Builds on
5 of 38 references.
References · 5
- 2020A Technique for Obtaining True Approximations for k-Center with Covering Constraintscited by 11
- 2018Approximation algorithms for stochastic clusteringcited by 7
- 2021Where to locate COVID-19 mass vaccination facilities?cited by 4
- 2013Centrality of Trees for Capacitated k-Centercited by 2
- 2018On the Partition Set Cover Problemcited by 1
Built on by
Citing papers per year: 2022: 1.
1 paper.