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Mathematical exploration of a diffusive infection’s dynamics and simulation

  • Rassim Darazirar
  • , Ahmed A. Mohsen*
  • , Aziz Khan
  • , Manar A. Alqudah
  • , Thabet Abdeljawad*
  • , Rajermani Thinakaran
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In this work, we construct Lyapunov functionals to analyze the global stability of the equilibria in reaction-diffusion systems arising in biological models. We employ Lyapunov functionals originally constructed for associated ordinary differential equation (ODE) models and extend them to partial differential equation (PDE) systems involving spatial diffusion. We analyze disease-free and endemic equilibrium stability in terms of the basic reproduction number a threshold parameter. Specifically, we show that when the disease-free equilibrium is globally asymptotically stable, while for the endemic equilibrium is globally stable under certain conditions. To make our methods more feasible, we supply some examples from epidemiology and good health, including spatially structured models with diffusion. Numerical simulations are provided to justify the theoretical results and to show the convergence behavior of the solutions.

Original languageEnglish
Article number31433
JournalScientific Reports
Volume15
Issue number1
DOIs
Publication statusPublished - Dec 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Diffusion
  • Global stability
  • Lyapunov functional
  • Numerical simulations

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