JOURNAL ARTICLE

Mathematical modelling and prediction of Tuberculosis transmission dynamics in Adamaoua region of Cameroon using fractional-order derivatives.

  • Published In: International Journal of Modeling, Simulation & Scientific Computing, 2025, v. 16, n. 5. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Abboubakar, Hamadjam; Djouassoum, Manasse; Gouroudja Banbeto, Sylvain Ardo; Yves Effa, Joseph 3 of 3

Abstract

This paper proposes a deterministic model of TB transmission in the Adamaoua area of Cameroon, taking into account both pulmonary and extrapulmonary infections. The best model is determined using real data from 2015 to 2022, and is built with integer and fractional-order derivatives. This research shows the existence and uniqueness of solutions, computes the basic reproduction number R 0 , and analyzes the asymptotic stability of the equilibrium point without tuberculosis. The calibration of the model with real data from the Adamoua region yields R 0 = 4. 1 6 8 3 , indicating that TB is endemic in the region. Numerical simulations are used to validate the theoretical conclusions. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Modeling, Simulation & Scientific Computing. 2025/10, Vol. 16, Issue 5, p1
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2025
  • ISSN:17939623
  • DOI:10.1142/S1793962325500606
  • Accession Number:189187853
  • Copyright Statement:Copyright of International Journal of Modeling, Simulation & Scientific Computing is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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