Fractional Optimal Control Model and Bifurcation Analysis of Human Syncytial Respiratory Virus Transmission Dynamics

Muath Awadalla, Jihan Alahmadi, Kumama Regassa Cheneke, Sania Qureshi

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

In this paper, the Caputo-based fractional derivative optimal control model is looked at to learn more about how the human respiratory syncytial virus (RSV) spreads. Model solution properties such as boundedness and non-negativity are checked and found to be true. The fundamental reproduction number is calculated by using the next-generation matrix’s spectral radius. The fractional optimal control model includes the control functions of vaccination and treatment to illustrate the impact of these interventions on the dynamics of virus transmission. In addition, the order of the derivative in the fractional optimal control problem indicates that encouraging vaccination and treatment early on can slow the spread of RSV. The overall analysis and the simulated behavior of the fractional optimum control model are in good agreement, and this is due in large part to the use of the MATLAB platform.

Original languageEnglish
Article number44
JournalFractal and Fractional
Volume8
Issue number1
DOIs
StatePublished - Jan 2024

Keywords

  • Caputo derivative
  • Hamiltonian function
  • basic reproduction number
  • local stability
  • next-generation matrix

Fingerprint

Dive into the research topics of 'Fractional Optimal Control Model and Bifurcation Analysis of Human Syncytial Respiratory Virus Transmission Dynamics'. Together they form a unique fingerprint.

Cite this