Analysis of a Fractional-Order COVID-19 Epidemic Model with Lockdown

Dawit Denu, Seth Kermausuor

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The outbreak of the coronavirus disease (COVID-19) has caused a lot of disruptions around the world. In an attempt to control the spread of the disease among the population, several measures such as lockdown, and mask mandates, amongst others, were implemented by many governments in their countries. To understand the effectiveness of these measures in controlling the disease, several mathematical models have been proposed in the literature. In this paper, we study a mathematical model of the coronavirus disease with lockdown by employing the Caputo fractional-order derivative. We establish the existence and uniqueness of the solution to the model. We also study the local and global stability of the disease-free equilibrium and endemic equilibrium solutions. By using the residual power series method, we obtain a fractional power series approximation of the analytic solution. Finally, to show the accuracy of the theoretical results, we provide some numerical and graphical results.

Original languageEnglish
Article number1773
JournalVaccines
Volume10
Issue number11
DOIs
StatePublished - Nov 2022

Scopus Subject Areas

  • Immunology
  • Pharmacology
  • Drug Discovery
  • Infectious Diseases
  • Pharmacology (medical)

Keywords

  • COVID-19 epidemic model
  • fractional power series
  • fractional-order differential equations
  • lockdown
  • stability of equilibrium solutions

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