International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/3633 2020 2020 Department of Mathematics, School of Science, The University of Jordan, Amman, 11942, Jordan; Nonlinear Dynamics Research Center (NDRC), Ajman University, Ajman 346, UAE Iqbal Iqbal Nonlinear Dynamics Research Center (NDRC), Ajman University, Ajman 346, UAE; Department of Mathematics, Al Zaytoonah University of Jordan, Amman 11733, Jordan Iqbal M. Batiha Department of Mathematics, College of Sciences, Jouf University, Sakaka, Saudi Arabia Mohammad S. Hijazi Applied Mathematics & Modeling Laboratory, Department of Mathematics, Faculty of Exact Sciences, University of Brothers Mentouri, Constantine 25000, Algeria Issam Bendib Department of Mathematics and Computer Science, University of Oum El Bouaghi, Oum El Bouaghi 04000, Algeria Adel Ouannas Faculty of Education and Arts, Sohar University, Sohar 3111, Oman; Applied Science Research Center, Applied Science Private University, Amman 11937, Jordan Nidal Anakira This paper investigates a fractional-order SEIR model to study the dynamics of infectious diseases, specifically COVID-19, by incorporating memory effects through fractional derivatives. The model’s formulation enhances the understanding of epidemic dynamics by considering disease transmission, recovery, and mortality rates under fractional calculus. Stability analyses are conducted for the disease-free equilibrium (DFE) and the pandemic fixed point (PFP), identifying critical conditions for finite-time stability using Lyapunov functions and fractional derivatives. Numerical simulations validate theoretical findings, demonstrating finitetime stabilization around the equilibrium points under realistic parameter settings. The results underscore the advantages of fractional-order modeling in capturing complex epidemic dynamics and highlight its potential to inform public health intervention strategies. 2025 2025 266 282 10.54216/IJNS.260123 https://www.americaspg.com/articleinfo/21/show/3633