Mathematical Modelling of the Epidemiology of Tuberculosis with Silicosis Coinfection
Innocent Cleopas Eli
Additional contact information
Innocent Cleopas Eli: Department of Mathematics and Statistics, Federal University Otuoke, Bayelsa State, Nigeria
International Journal of Research and Innovation in Applied Science, 2025, vol. 10, issue 2, 603-624
Abstract:
The study presents an innovative mathematical model analysing the epidemiology of Tuberculosis with silicosis coinfection. It effectively integrates epidemiological factors and historical theoretical research with well-structured model formulation and numerical verification through MATLAB. The use of partial differential equation, Jacobian matrix, deterministic techniques as well as Routh Hurwitz algebraic criteria plays significant role in the stability of disease-free equilibrium point and stability of the endemic equilibrium point analytically which indicates locally stable system asymptotically which indicates locally stable system asymptotically as equally demonstrated by the reproduction number. The solutions of the model equations are integrated using the Range Kutta Fourth order method in MATLAB and observed the impact of which proves that the endemic equilibrium point increased for the recorded population meanwhile, decreased for the coinfected population as increases. Since the Ro
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.rsisinternational.org/journals/ijrias/ ... -issue-2/603-624.pdf (application/pdf)
https://rsisinternational.org/journals/ijrias/arti ... licosis-coinfection/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bjf:journl:v:10:y:2025:i:2:p:603-624
Access Statistics for this article
International Journal of Research and Innovation in Applied Science is currently edited by Dr. Renu Malsaria
More articles in International Journal of Research and Innovation in Applied Science from International Journal of Research and Innovation in Applied Science (IJRIAS)
Bibliographic data for series maintained by Dr. Renu Malsaria ().