Analysis of Turberculosis-COVID-19 Coinfection Using Fractional Derivatives

S. Okyere, J. Ackora-Prah, S. Abdullah, S. Adarkwa, Frank Kofi Owusu, Kwame Bonsu, Mary Osei Fokuo, M. Yeboah
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Abstract

Fractional-order derivative modeling continues to receive great interest among researchers across the globe. In this study, Tuberculosis-COVID-19 coinfection is studied using Atangana–Baleanu fractional-order derivatives defined in Caputo sense. We confirmed the existence and singularity of the solution and investigated the model’s equilibrium points. Additionally, we examined the model’s stability in terms of the Ulam–Hyers and generalized Ulam–Hyers stability criteria. The basic reproduction number R 0 was calculated using the next-generation matrix approach. We also looked into the model’s disease-free equilibrium point’s regional stability. Numerical scheme for simulating the fractional-order system with Mittag–Leffler Kernels are presented. Numerical simulations are given to validate the model. Results of the simulation showed a decline in the number of COVID-19 infections within the population when the fractional operator was reduced.
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利用分数阶导数分析结核病- covid -19合并感染
分数阶导数建模一直受到全球研究人员的极大兴趣。本研究使用Caputo意义上定义的Atangana-Baleanu分数阶导数研究了结核病- covid -19合并感染。我们证实了解的存在性和奇异性,并研究了模型的平衡点。此外,我们根据Ulam-Hyers和广义Ulam-Hyers稳定性准则检查了模型的稳定性。采用新一代矩阵法计算基本繁殖数r0。我们还研究了模型的无病平衡点的区域稳定性。给出了用Mittag-Leffler核模拟分数阶系统的数值格式。通过数值仿真验证了模型的有效性。模拟结果显示,当分数运算符减小时,人群中COVID-19感染数量下降。
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