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Nonlinear SEIS Epidemic Dynamics with Fractional-Order Time: Analytical and Numerical Results

Year:    2025

Author:    Jamal El Amrani, Hamza El Mahjour, Ibtissam Serroukh, Aadil Lahrouz

Journal of Nonlinear Modeling and Analysis, Vol. 7 (2025), Iss. 2 : pp. 583–601

Abstract

This study investigates a novel SEIS epidemic model that incorporates fractional-order derivatives to account for the memory effects of the disease spread. The Caputo derivative is specifically employed. Furthermore, the model considers the influence of behavioral changes in susceptible individuals by incorporating a general non-linear function that depends on their population size. Leveraging recent advancements in fractional differential equations theory, we establish the existence of solutions and analyze the critical conditions for the system’s steady states to achieve global asymptotic stability. Finally, the validity and applicability of the theoretical model are corroborated through numerical simulations using real-world data on the prevalence of Pneumococcus.

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.12150/jnma.2025.583

Journal of Nonlinear Modeling and Analysis, Vol. 7 (2025), Iss. 2 : pp. 583–601

Published online:    2025-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    19

Keywords:    Non-linear epidemic model fractional system stability of equilibria.

Author Details

Jamal El Amrani

Hamza El Mahjour

Ibtissam Serroukh

Aadil Lahrouz