IDEAS home Printed from https://ideas.repec.org/a/hin/jnljam/6934895.html
   My bibliography  Save this article

Fractional-Order Model for Evolution of Bovine Tuberculosis with Vaccination and Contaminated Environment

Author

Listed:
  • Boubacar Diallo
  • Jeconia Abonyo Okelo
  • Shaibu Osman
  • Simon Karanja
  • Nnaemeka Stanley Aguegboh
  • Arvind Kumar Misra

Abstract

Bovine tuberculosis (bTB) is a zoonotic disease that is commonly transmitted via inhaling aerosols, drinking unpasteurized milk, and eating raw meat. We use a fractional-order model with the Caputo sense to examine the evolution of bovine tuberculosis transmission in human and animal populations, including a vaccine compartment for humans. We derived and obtained the threshold quantity R0 to ascertain the illness state. We established conditions guaranteeing the asymptotic stability of the equilibria (locally and globally). Sensitivity analysis was conducted to identify the factors that govern the dynamics of tuberculosis. The study demonstrates that the rate of human-to-animal transmission of tuberculosis and environmental pollution and the rate of bTB transmission between animals all affect tuberculosis transmission. However, as vaccination rates increase and fewer individuals consume contaminated environment products (such as meat, milk, and other dairy products), the disease becomes less common in humans. To manage bovine TB, it is advised that information programmes be implemented, the environment be monitored, infected persons be treated, contaminated animals be vaccinated, and contaminated animals be quarantined. The usefulness of the discovered theoretical results is demonstrated through numerical experiments.

Suggested Citation

  • Boubacar Diallo & Jeconia Abonyo Okelo & Shaibu Osman & Simon Karanja & Nnaemeka Stanley Aguegboh & Arvind Kumar Misra, 2024. "Fractional-Order Model for Evolution of Bovine Tuberculosis with Vaccination and Contaminated Environment," Journal of Applied Mathematics, Hindawi, vol. 2024, pages 1-15, January.
  • Handle: RePEc:hin:jnljam:6934895
    DOI: 10.1155/2024/6934895
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/jam/2024/6934895.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/jam/2024/6934895.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2024/6934895?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:jnljam:6934895. 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.