Document Type
Article
Publication Date
2015
Abstract
Most hosts harbor multiple pathogens at the same time in disease epidemiology. Multiple pathogens have the potential for interaction resulting in negative impacts on host fitness or alterations in pathogen transmission dynamics. In this paper we develop a mathematical model describing the dynamics of HIV-malaria coinfection. Additionally, we extended our model to examine the role treatment (of malaria and HIV) plays in altering populations’ dynamics. Our model consists of 13 interlinked equations which allow us to explore multiple aspects of HIV-malaria transmission and treatment. We perform qualitative analysis of the model that includes positivity and boundedness of solutions. Furthermore, we evaluate the reproductive numbers corresponding to the submodels and investigate the long term behavior of the submodels. We also consider the qualitative dynamics of the full model. Sensitivity analysis is done to determine the impact of some chosen parameters on the dynamics of malaria. Finally, numerical simulations illustrate the potential impact of the treatment scenarios and confirm our analytical results.
Repository Citation
Nyabadza, F.,
Bekele, B. T.,
Rúa, M. A.,
Malonza, D. M.,
Chiduku, N.,
& Kgosimore, M.
(2015). The Implications of HIV Treatment on the HIV-Malaria Coinfection Dynamics: A Modeling Perspective. BioMed Research International, 2015, 659651.
https://corescholar.libraries.wright.edu/biology/619
DOI
10.1155/2015/659651
Comments
Copyright © 2015 F. Nyabadza et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.