Mathematical analysis of cholera typhoid co-infection transmission dynamics

Matsebula, Lunga and Nyabadza, Farai (2022) Mathematical analysis of cholera typhoid co-infection transmission dynamics. Frontiers in Applied Mathematics and Statistics, 8. ISSN 2297-4687

[thumbnail of pubmed-zip/versions/2/package-entries/fams-08-892098-r1/fams-08-892098.pdf] Text
pubmed-zip/versions/2/package-entries/fams-08-892098-r1/fams-08-892098.pdf - Published Version

Download (1MB)

Abstract

Typhoid fever and cholera remain a huge public health problem on the African continent due to deteriorating infrastructure and declining funding for infrastructure development. The diseases are both caused by bacteria, and they are associated with poor hygiene and waste disposal systems. In this paper, we consider a nonlinear system of ordinary differential equations for the co-infection of typhoid and cholera in a homogeneously mixing population. The model's steady states are determined and analyzed in terms of the model's reproduction number. Impact analysis—how the diseases impact on each other—is carried out. Numerical simulations and sensitivity analysis are also given. The results show that the control of the diseases should be carried out in tandem for the greatest impact of disease control. The results have important implications in the management of the two diseases.

Item Type: Article
Subjects: Opene Prints > Mathematical Science
Depositing User: Managing Editor
Date Deposited: 11 Feb 2023 06:09
Last Modified: 25 May 2024 07:47
URI: http://geographical.go2journals.com/id/eprint/669

Actions (login required)

View Item
View Item