Fractional modeling and numerical investigations of COVID-19 epidemic model with non-singular fractional derivatives: a case study
This paper focuses on the pivotal challenge of representing fractional dynamics in the context of computational biology, presenting an innovative approach. We utilize a non-singular kernel-type derivative to reformulate a fractional-order epidemic model. Our research focuses on several key aspects....
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Published in | Scientific reports Vol. 15; no. 1; pp. 13256 - 19 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
17.04.2025
Nature Publishing Group Nature Portfolio |
Subjects | |
Online Access | Get full text |
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Summary: | This paper focuses on the pivotal challenge of representing fractional dynamics in the context of computational biology, presenting an innovative approach. We utilize a non-singular kernel-type derivative to reformulate a fractional-order epidemic model. Our research focuses on several key aspects. First, we determine the reproductive number, represented as
, which is crucial for predicting and understanding the dynamics of the disease being studied. To assess the stability of the system, we employ the Routh-Hurwitz stability criteria. Additionally, we employ the Lasale invariant principle to gain insights into the dynamical behavior of the equilibria. In order to validate our model’s accuracy, we conduct data fitting exercises and subsequently perform numerical experiments to corroborate our theoretical findings. Furthermore, we leverage the Banach and Leary Schauder alternative theorem to establish the existence of solutions with unique characteristics, enhancing the robustness of our approach. To facilitate practical implementation, we utilize the Toufit-Atangana scheme for numerical simulations of the proposed fractional model. Our findings show that the model performs well across the entire density spectrum. Specifically, we note that stability decreases with higher scheme orders but improves with lower fractional-order derivatives. |
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Bibliography: | ObjectType-Case Study-2 SourceType-Scholarly Journals-1 content type line 14 ObjectType-Feature-4 ObjectType-Report-1 ObjectType-Article-3 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/s41598-025-93095-1 |