Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response
February 09, 2022 Β· Declared Dead Β· π Autonomous Agents and Multi-Agent Systems
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Authors
George Li, Ann Li, Madhav Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
arXiv ID
2202.04705
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.DS,
cs.MA,
cs.SI
Citations
3
Venue
Autonomous Agents and Multi-Agent Systems
Last Checked
4 months ago
Abstract
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.
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