Optimizing global COVID-19 vaccine allocation: An agent-based computational model of 148 countries.

ABSTRACT:

Background

Based on the principles of equity and effectiveness, the World Health Organization and COVAX formulate vaccine allocation as a mathematical optimization problem. This study aims to solve the optimization problem using agent-based simulations.

Methods

We built open-sourced agent-based models to simulate virus transition among a demographically representative sample of 198 million people in 148 countries using advanced computational services. All countries continuing their current vaccine progress is defined as the baseline scenario. Comparison scenarios include achieving minimum vaccination rates and allocating vaccines based on pandemic levels.

Findings

The simulations are fitted using the pandemic data from 148 countries from January 2020 to June 2021. Und

SUBMITTER: Li Q 

PROVIDER: S-EPMC9447912 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature