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Research Article | Open Access

Analysis and simulation of a normalized Caputo-Fabrizio fractional SEIR epidemic model

Ramsha Shafqat1( )Saeed M. Alamry2Ateq Alsaadi2
Department of Mathematics and Statistics, The University of Lahore, Sargodha 40100, Pakistan
Department of Mathematics and Statistics, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
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Abstract

This paper introduces, analyzes, and numerically investigates a fractional-order SEIR epidemic model employing the normalized Caputo-Fabrizio (NCF) derivative. The model captures memory effects and the role of an exposed (latent) compartment, allowing for more realistic epidemic dynamics. We establish existence, uniqueness, positivity, and population conservation, then propose a robust numerical scheme. The impact of the memory parameter and kernel normalization is illustrated via simulations, with a discussion on their significance for epidemic forecasting and potential real-world applications.

CLC number: 34D20, 34K20, 34K60, 92C60, 92D45

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AIMS Mathematics
Pages 24712-24729

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Cite this article:
Shafqat R, Alamry SM, Alsaadi A. Analysis and simulation of a normalized Caputo-Fabrizio fractional SEIR epidemic model. AIMS Mathematics, 2025, 10(10): 24712-24729. https://doi.org/10.3934/math.20251095

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Received: 12 July 2025
Revised: 16 October 2025
Accepted: 21 October 2025
Published: 29 October 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)