Mathematical and numerical analysis of a SEVIR-S model for adenovirus with immunity waning and reinfection effects

In this study, we proposed a modified SEVIR-S (susceptible, exposed, vaccinated, infected, recovered) model for the transmission dynamics of adenovirus by incorporating the effects of immunity waning and reinfection. Unlike the classical SEVIR framework, the extended model accounted for the possibility that recovered individuals may lose immunity over time and become susceptible again — a critical feature for accurately modeling diseases like adenovirus. To better capture the disease's memory effects and temporal dynamics, the model used the fractal-fractional Caputo-Fabrizio derivative with a power-law kernel. The paper analyzed the model's existence and stability using fixed point theory and Hyers-Ulam (H-U) stability. Furthermore, both the disease-free and endemic equilibrium points and their stability were analyzed. Also, the basic reproduction number was provided. The findings were validated through numerical simulations using an extended Adams-Bashforth method.

Authors

Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025728
Citations
1
Primary Topic
Viral Infections and Outbreaks Research
Type
article
Field-Weighted Citation Impact
1.40
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article

Mathematical and numerical analysis of a SEVIR-S model for adenovirus with immunity waning and reinfection effects

W. Eltayeb Ahmed, Rabeb Sidaoui, Amer Alsulami, Khaled Aldwoah et al.
1 citations
AIMS Mathematics
Viral Infections and Outbreaks Research
1.40
article

Mathematical and numerical analysis of a SEVIR-S model for adenovirus with immunity waning and reinfection effects

W. Eltayeb Ahmed, Rabeb Sidaoui, Amer Alsulami, Khaled Aldwoah, Arshad Ali, E. I. Hassan, Mohammed Nour A. Rabih
article en
1 citations

Abstract

In this study, we proposed a modified SEVIR-S (susceptible, exposed, vaccinated, infected, recovered) model for the transmission dynamics of adenovirus by incorporating the effects of immunity waning and reinfection. Unlike the classical SEVIR framework, the extended model accounted for the possibility that recovered individuals may lose immunity over time and become susceptible again — a critical feature for accurately modeling diseases like adenovirus. To better capture the disease's memory effects and temporal dynamics, the model used the fractal-fractional Caputo-Fabrizio derivative with a power-law kernel. The paper analyzed the model's existence and stability using fixed point theory and Hyers-Ulam (H-U) stability. Furthermore, both the disease-free and endemic equilibrium points and their stability were analyzed. Also, the basic reproduction number was provided. The findings were validated through numerical simulations using an extended Adams-Bashforth method.

AIMS MathematicsVol. 10(7)
Zero hunger
Openalex Percentile: Top 17%
Viral Infections and Outbreaks Research
1.40
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Mathematical and numerical analysis of a SEVIR-S model for adenovirus with immunity waning and reinfection effects — W. Eltayeb Ahmed, Rabeb Sidaoui, et al. · AIMS Mathematics (2025) | TGRS Research Map | TGRS