"Dynamics of a Fractional-Order Delayed Model of COVID-19 with Vaccinat" by Fathalla A. Rihan, Udhayakumar Kandasamy et al.
 

Document Type

Article

Source of Publication

Vaccines

Publication Date

3-29-2023

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.

ISSN

2076-393X

Publisher

MDPI AG

Volume

11

Issue

4

First Page

758

Last Page

758

Disciplines

Medicine and Health Sciences

Keywords

COVID-19, fractional-order, time-delay, vaccination, bifurcation, stability

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Indexed in Scopus

no

Open Access

yes

Open Access Type

Gold: This publication is openly available in an open access journal/series

Plum Print visual indicator of research metrics
PlumX Metrics
  • Citations
    • Citation Indexes: 14
  • Usage
    • Downloads: 58
    • Abstract Views: 2
  • Captures
    • Readers: 6
  • Mentions
    • News Mentions: 1
see details

Share

COinS