Analysis of a Mathematical Model on the Dynamics of TB–HCV Coinfection With Medication

Kizito Mohammed, Hasifa Nampala and Pius Ariho

Journal of Applied Mathematics, 2026, vol. 2026, 1-31

Abstract: This study employs a deterministic model that describes the combined dynamics of TB and HCV aimed at determining the impact of medication in the management of TB–HCV coinfection. The analytical and numerical analyses indicate that if the TB–HCV coinfection effective reproduction number is less than unity, the absence of both TB and HCV infections constitutes a stable equilibrium. Additionally, the stability analysis reveals that when the TB–HCV coinfection effective reproduction number is greater than one, the endemic equilibria become stable attractors, thus, a long-term coexistence of both infections. Sensitivity analysis shows that an increase in the rate of human-to-human contact between the TB (or HCV)-infected individuals and the susceptible population and the likelihood of a contact resulting in TB (or HCV) transmission results in a higher endemicity of the infection. Numerical simulations indicate that increasing the rate at which humans with coinfection are treated decreases the widespread presence of TB and HCV in the population. We therefore recommend that health facilities be stocked with antibiotics for TB and antiviral medications for HCV for easy access by individuals who test positive to the respective infections.

Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/jam/2026/8033235.pdf (application/pdf)
http://downloads.hindawi.com/journals/jam/2026/8033235.xml (application/xml)

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:hin:jnljam:8033235

DOI: 10.1155/jama/8033235

Access Statistics for this article

More articles in Journal of Applied Mathematics from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().