Analysis of Turberculosis-COVID-19 Coinfection Using Fractional Derivatives

Author:

Okyere Samuel1ORCID,Ackora-Prah Joseph1ORCID,Abdullah Saleem2ORCID,Adarkwa Samuel Akwasi3ORCID,Owusu Frank Kofi3ORCID,Bonsu Kwame4,Fokuo Mary Osei1ORCID,Yeboah Mary Ann3

Affiliation:

1. Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

2. Department of Mathematics, Abdul Wali Khan University, Mardan, Khyber Pakhtunkhwa, Pakistan

3. Department of Statistical Sciences, Kumasi Technical University, Kumasi, Ghana

4. Department of Mathematics, Sunyani Technical University, Sunyani, Ghana

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.

Publisher

Hindawi Limited

Subject

Mathematics (miscellaneous)

Reference30 articles.

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2. Coronavirus Resource center;J. Hopkins,2020

3. COVID-19 Coronavirus pandemic;Worldometer,2022

4. Underlying medical conditions associated with higher risk for severe covid-19: information for healthcare providers;Centers for Disease Control and Prevention,2021

5. Tuberculosis;Center for Disease Control and Prevention,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Microbial coinfections in COVID-19: mathematical analysis using Atangana–Baleanu–Caputo type;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-05-17

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