Dynamics of a Fractional-Order Delayed Model of COVID-19 with Vaccination Efficacy

Vaccines (Basel). 2023 Mar 29;11(4):758. doi: 10.3390/vaccines11040758.

Abstract

In this study, we provide a fractional-order mathematical model that considers the effect of vaccination on COVID-19 spread dynamics. The model accounts for the latent period of intervention strategies by incorporating a time delay τ. A basic reproduction number, R0, is determined for the model, and prerequisites for endemic equilibrium are discussed. The model's endemic equilibrium point also exhibits local asymptotic stability (under certain conditions), and a Hopf bifurcation condition is established. Different scenarios of vaccination efficacy are simulated. As a result of the vaccination efforts, the number of deaths and those affected have decreased. COVID-19 may not be effectively controlled by vaccination alone. To control infections, several non-pharmacological interventions are necessary. Based on numerical simulations and fitting to real observations, the theoretical results are proven to be effective.

Keywords: COVID-19; bifurcation; fractional-order; stability; time-delay; vaccination.

Grants and funding

This work was funded by project 12S107-UAEU-UZ-2-2022.