Work

A decision-making framework for supporting an equitable global vaccine distribution under humanitarian perspectives

Year: 2025

Type: article

Abstract: This paper is motivated by the occurrence of vaccine nationalism in the setting of pandemics. Certain high-income countries (HICs) aggressively accumulated vaccinations while showing little concern for the vaccination challenges faced by low- and middle- income countries. This disparity fosters the proliferation and mutation of viruses, thus risking the global population’s health and welfare. Hence, we create a data-driven framework to tackle this humanitarian problem by facilitating the provision of vaccines. The framework comprises of two models: a network model named multi-strain Susceptible-Vaccinated-Infected-Removed-Susceptible and a vaccine distribution model with equitable constraints. The latter also encompasses the diverse uncertainty associated with vaccination hesitancy in different countries, in order to avoid potential wastage of resources. The vaccine distribution from our framework is based on greedy thought, thus enabling decision-makers to actively engage in the real-time vaccine allocation process. When the suggested framework is applied to the scenario of the COVID-19 pandemic, the simulation results indicate that fair distributions could accelerate the end of the pandemic. Additional scenarios, such as equitable levels and traveling intensity, are also examined in the sensitivity analysis. The progression of the epidemic under vaccine nationalism is moreover simulated to highlight its harmfulness and validate the efficacy of our framework. We demonstrate that the inequitable advantage experienced by HICs is temporary, as HICs are bound to suffer from virus variants in due course when vaccinations become less efficacious against them.

Source: European Journal of Operational Research

DOI: 10.1016/j.ejor.2025.05.007

Authors: Jian Zhou, Junyang Cai, Athanasios A. Pantelous, Zhen Li, Musen Kingsley Li

Institutions: University of Bahrain, Shanghai University, Technion – Israel Institute of Technology, Monash University

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDGs: Reduced inequalities, Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,290