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Fractional order mathematical model of Ebola virus under Atangana–Baleanu–Caputo operator
- Source :
- Results in Control and Optimization, Vol 13, Iss , Pp 100332- (2023)
- Publication Year :
- 2023
- Publisher :
- Elsevier, 2023.
-
Abstract
- The aim of this paper is to analyze a fractional model of the Ebola virus. This study is important because it contributes to our understanding of the Ebola virus transmission dynamics using the notion of non-local differential operators. We aim to apply the recently implemented Atangana–Baleanu–Caputo (ABC) fractional derivative with the Mittag-Leffler kernel to study the Ebola virus model closely. The Picard–Lindelof approach is used to do a comprehensive study of the existence and uniqueness of the model’s solutions. The approximate solutions of the fractional order Ebola virus model were obtained using a numerical technique with the ABC operator, a combination of the fundamental theorem of fractional calculus and the two-step Lagrange polynomial interpolation. This innovative approach may offer new insights into the Ebola virus model that were not previously explored. Finally, the numerical simulations illustrate how the control parameters impact specific compartments within the model. The geometrical representation gives significant information about the model’s complexity and reliable information about the model. We simulate each model compartment at various fractional orders and compare them with integer-order simulations, highlighting the effectiveness of modern derivatives. The fractional analysis underscores the enhanced accuracy of non-integer order derivatives in capturing the Ebola virus model’s dynamics.
Details
- Language :
- English
- ISSN :
- 26667207
- Volume :
- 13
- Issue :
- 100332-
- Database :
- Directory of Open Access Journals
- Journal :
- Results in Control and Optimization
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.bae0613e0dcf4aee9a05c972b82e74d7
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.rico.2023.100332