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基于Caputo导数算子的新型分数阶模型的数学建模与稳定性分析:案例研究

Mathematical modeling and stability analysis of the novel fractional model in the Caputo derivative operator: A case study.

作者信息

Saadeh Rania, Abdoon Mohamed A, Qazza Ahmad, Berir Mohammed, Guma Fathelrhman El, Al-Kuleab Naseam, Degoot Abdoelnaser M

机构信息

Department of Mathematics, Zarqa University, Zarqa 13110, Jordan.

Department of Basic Sciences, Common First Year Deanship, King Saud University, Riyadh 12373, Saudi Arabia.

出版信息

Heliyon. 2024 Feb 23;10(5):e26611. doi: 10.1016/j.heliyon.2024.e26611. eCollection 2024 Mar 15.

Abstract

The fundamental goal of this research is to suggest a novel mathematical operator for modeling visceral leishmaniasis, specifically the Caputo fractional-order derivative. By utilizing the Fractional Euler Method, we were able to simulate the dynamics of the fractional visceral leishmaniasis model, evaluate the stability of the equilibrium point, and devise a treatment strategy for the disease. The endemic and disease-free equilibrium points are studied as symmetrical components of the proposed dynamical model, together with their stabilities. It was shown that the fractional calculus model was more accurate in representing the situation under investigation than the classical framework at = 0.99 and = 0.98. We provide justification for the usage of fractional models in mathematical modeling by comparing results to real-world data and finding that the new fractional formalism more accurately mimics reality than did the classical framework. Additional research in the future into the fractional model and the impact of vaccinations and medications is necessary to discover the most effective methods of disease control.

摘要

本研究的基本目标是提出一种用于内脏利什曼病建模的新型数学算子,特别是卡普托分数阶导数。通过使用分数阶欧拉方法,我们能够模拟分数阶内脏利什曼病模型的动态,评估平衡点的稳定性,并设计该疾病的治疗策略。将地方病平衡点和无病平衡点作为所提出动态模型的对称组成部分进行研究,并分析它们的稳定性。结果表明,在α = 0.99和α = 0.98时,分数阶微积分模型比经典框架更准确地反映了所研究的情况。通过将结果与实际数据进行比较,我们为分数阶模型在数学建模中的应用提供了依据,并发现新的分数阶形式比经典框架更准确地模拟了现实。未来有必要对分数阶模型以及疫苗接种和药物的影响进行更多研究,以发现最有效的疾病控制方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7a7/10907653/c19c20acb362/gr001.jpg

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