Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response
Li, George, Li, Ann, Marathe, Madhav, Srinivasan, Aravind, Tsepenekas, Leonidas, Vullikanti, Anil
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Feb-9-2022
- Country:
- North America > United States
- Virginia > Albemarle County (0.04)
- Maryland (0.04)
- Europe > United Kingdom
- England > Cambridgeshire > Cambridge (0.04)
- North America > United States
- Genre:
- Research Report > New Finding (0.66)
- Industry:
- Health & Medicine > Therapeutic Area
- Vaccines (1.00)
- Infections and Infectious Diseases (1.00)
- Immunology (1.00)
- Health & Medicine > Therapeutic Area
- Technology: