Local and global stability of a fractional viral infection model with two routes of propagation, cure rate and non-lytic humoral immunity

A fractional viral model is proposed in this work, as fractional-order calculus is considered more suitable than integer-order calculus for modeling virological systems with inherent memory and long-range interactions. The model incorporates virus-to-cell infection, cell-to-cell transmission, cure rate, and humoral immunity. Additionally, the non-lytic immunological mechanism, which prevents viral reproduction and reduces cell infection, is included. Caputo fractional derivatives are utilized in each compartment to capture long-term memory effects and non-local behavior. It is demonstrated that the model has nonnegative and bounded solutions. Three equilibrium states are identified in the improved viral model: the virus-clear steady state $\mathcal{G}^{\circ }$, the immunity-free steady state $\mathcal{G}_{1}^{\star}$ and the infection steady state with humoral immunity $\mathcal{G}_{2}^{\star }$. The local stability of the equilibria is investigated using the Routh-Hurwitz criteria and the Matignon condition, while the global stability is shown through the Lyapunov approach and the fractional LaSalle invariance principle. Finally, the theoretical conclusions are validated by numerous numerical simulations.

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Publication Details

Journal
Mathematical Modelling and Numerical Simulation with Applications
Published
2024-12-31
DOI
https://doi.org/10.53391/mmnsa.1517325
Citations
10
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
5.43
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article

Local and global stability of a fractional viral infection model with two routes of propagation, cure rate and non-lytic humoral immunity

Anwar Zeb, Mouhcine Naim, Yassine Sabbar, Mustafa Yıldız et al.
10 citations
Mathematical Modelling and Numerical Simulation with Applications
Mathematical and Theoretical Epidemiology and Ecology Models
5.43
article

Local and global stability of a fractional viral infection model with two routes of propagation, cure rate and non-lytic humoral immunity

Anwar Zeb, Mouhcine Naim, Yassine Sabbar, Mustafa Yıldız, Ahmed Ali Mohsen
article en
10 citations

Abstract

A fractional viral model is proposed in this work, as fractional-order calculus is considered more suitable than integer-order calculus for modeling virological systems with inherent memory and long-range interactions. The model incorporates virus-to-cell infection, cell-to-cell transmission, cure rate, and humoral immunity. Additionally, the non-lytic immunological mechanism, which prevents viral reproduction and reduces cell infection, is included. Caputo fractional derivatives are utilized in each compartment to capture long-term memory effects and non-local behavior. It is demonstrated that the model has nonnegative and bounded solutions. Three equilibrium states are identified in the improved viral model: the virus-clear steady state $\mathcal{G}^{\circ }$, the immunity-free steady state $\mathcal{G}_{1}^{\star}$ and the infection steady state with humoral immunity $\mathcal{G}_{2}^{\star }$. The local stability of the equilibria is investigated using the Routh-Hurwitz criteria and the Matignon condition, while the global stability is shown through the Lyapunov approach and the fractional LaSalle invariance principle. Finally, the theoretical conclusions are validated by numerous numerical simulations.

Mathematical Modelling and Numerical Simulation with ApplicationsVol. 4(5-Special Issue: ICAME'24)
University of Baghdad (IQ), COMSATS University Islamabad (PK), Bartin University (TR), Abbottabad University of Science and Technology (PK), Instituto Superior da Maia (PT), University of Hassan II Casablanca (MA)
Good health and well-being, Partnerships for the goals
Openalex Percentile: Top 4%
Mathematical and Theoretical Epidemiology and Ecology Models
5.43
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Local and global stability of a fractional viral infection model with two routes of propagation, cure rate and non-lytic humoral immunity — Anwar Zeb, Mouhcine Naim, et al. · Mathematical Modelling and Numerical Simulation with Applications (2024) | TGRS Research Map | TGRS