An Artificial Intelligence-Based Scheme for the Management of Vaccines during Pandemics

Abstract

A pandemic like COVID-19 caused a massive blow to the global economy, and its impacts will be large and endure across all domains of life. One of the crucial factors in fighting this pandemic is the proper management and administration of the limited vaccines available. The objective of the proposed research is to apply an artificial intelligence approach based on fuzzy logic for the allocation of vaccines to state authorities by a central government. The objective is achieved by developing an artificial intelligence technique based on a fuzzy logic inference system that takes into account the population and the number of active pandemic cases to infer the proportion of available vaccine doses to be allocated to the states. This approach ensures that sufficient doses of vaccines are available in the states on priority where the proportion of the spread is higher and vaccines are not wasted in states where the proportion is lower. The proposed scheme is simulated using MATLAB. The results showed that the proposed artificial intelligence-based approach can ensure proper distribution of the available vaccine doses to the states and enhance the fight against pandemics.