arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2202.04705cs.AIcs.DScs.MAcs.SI
收藏

Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response

Biocomplexity Institute and Initiative, University of Virginia(弗吉尼亚大学生物复杂性研究所与倡议);Department of Computer Science, University of Maryland(马里兰大学计算机科学系);Department of Computer Science, University of Virginia(弗吉尼亚大学计算机科学系)

George Li, Ann Li, Madhav Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑