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Fractional order mathematical model of Ebola virus under Atangana–Baleanu–Caputo operator

Authors :
Pooja Yadav
Shah Jahan
Kottakkaran Sooppy Nisar
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