IDEAS home Printed from https://ideas.repec.org/a/hin/jijmms/2831846.html
   My bibliography  Save this article

Analysis of Turberculosis-COVID-19 Coinfection Using Fractional Derivatives

Author

Listed:
  • Samuel Okyere
  • Joseph Ackora-Prah
  • Saleem Abdullah
  • Samuel Akwasi Adarkwa
  • Frank Kofi Owusu
  • Kwame Bonsu
  • Mary Osei Fokuo
  • Mary Ann Yeboah
  • Remi Léandre

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 R0 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.

Suggested Citation

  • Samuel Okyere & Joseph Ackora-Prah & Saleem Abdullah & Samuel Akwasi Adarkwa & Frank Kofi Owusu & Kwame Bonsu & Mary Osei Fokuo & Mary Ann Yeboah & Remi Léandre, 2023. "Analysis of Turberculosis-COVID-19 Coinfection Using Fractional Derivatives," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2023, pages 1-14, April.
  • Handle: RePEc:hin:jijmms:2831846
    DOI: 10.1155/2023/2831846
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ijmms/2023/2831846.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/ijmms/2023/2831846.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2023/2831846?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jijmms:2831846. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.