COVID-19 vaccination policies under uncertain transmission characteristics using stochastic programming.

ABSTRACT: We develop a new stochastic programming methodology for determining optimal vaccination policies for a multi-community heterogeneous population. An optimal policy provides the minimum number of vaccinations required to drive post-vaccination reproduction number to below one at a desired reliability level. To generate a vaccination policy, the new method considers the uncertainty in COVID-19 related parameters such as efficacy of vaccines, age-related variation in susceptibility and infectivity to SARS-CoV-2, distribution of household composition in a community, and variation in human interactions. We report on a computational study of the new methodology on a set of neighboring U.S. counties to generate vaccination policies based on vaccine availability. The results show that to control ou

SUBMITTER: Gujjula KR 

PROVIDER: S-EPMC9307213 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature