Modeling the Impact of the Imperfect Vaccination of the COVID-19 with Optimal Containment Strategy

Lahbib Benahmadi, Mustapha Lhous, Abdessamad Tridane, Omar Zakary, Mostafa Rachik

Research output: Contribution to journalArticlepeer-review

Abstract

Since the beginning of the COVID-19 pandemic, vaccination has been the main strategy to contain the spread of the coronavirus. However, with the administration of many types of vaccines and the constant mutation of viruses, the issue of how effective these vaccines are in protecting the population is raised. This work aimed to present a mathematical model that investigates the imperfect vaccine and finds the additional measures needed to help reduce the burden of disease. We determine the R0 threshold of disease spread and use stability analysis to determine the condition that will result in disease eradication. We also fitted our model to COVID-19 data from Morocco to estimate the parameters of the model. The sensitivity analysis of the basic reproduction number, with respect to the parameters of the model, is simulated for the four possible scenarios of the disease progress. Finally, we investigate the optimal containment measures that could be implemented with vaccination. To illustrate our results, we perform the numerical simulations of optimal control.

Original languageEnglish
Article number124
JournalAxioms
Volume11
Issue number3
DOIs
Publication statusPublished - Mar 2022

Keywords

  • Basic reproduction number
  • COVID-19
  • Lyapunov function
  • Optimal control
  • Stability
  • Vaccination

ASJC Scopus subject areas

  • Analysis
  • Algebra and Number Theory
  • Mathematical Physics
  • Logic
  • Geometry and Topology

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