Mathematical analysis of a model for HIV-malaria co-infection

A deterministic model for the co-interaction of HIV and malaria in acommunity is presented and rigorously analyzed. Two sub-models,namely the HIV-only and malaria-only sub-models, areconsidered first of all. Unlike the HIV-only sub-model, which has aglobally-asymptotically stable disease-free equil...

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Bibliographic Details
Main Authors: Zindoga Mukandavire, Abba B. Gumel, Winston Garira, Jean Michel Tchuenche
Format: Article
Language:English
Published: AIMS Press 2009-02-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2009.6.333
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Summary:A deterministic model for the co-interaction of HIV and malaria in acommunity is presented and rigorously analyzed. Two sub-models,namely the HIV-only and malaria-only sub-models, areconsidered first of all. Unlike the HIV-only sub-model, which has aglobally-asymptotically stable disease-free equilibrium whenever theassociated reproduction number is less than unity, the malaria-onlysub-model undergoes the phenomenon of backward bifurcation, where astable disease-free equilibrium co-exists with a stable endemicequilibrium, for a certain range of the associated reproductionnumber less than unity. Thus, for malaria, the classical requirementof having the associated reproduction number to be less than unity,although necessary, is not sufficient for its elimination. It isalso shown, using centre manifold theory, that the full HIV-malariaco-infection model undergoes backward bifurcation. Simulations ofthe full HIV-malaria model show that the two diseases co-existwhenever their reproduction numbers exceed unity (with nocompetitive exclusion occurring). Further, the reduction in sexualactivity of individuals with malaria symptoms decreases the numberof new cases of HIV and the mixed HIV-malaria infection whileincreasing the number of malaria cases. Finally, these simulationsshow that the HIV-induced increase in susceptibility to malariainfection has marginal effect on the new cases of HIV and malariabut increases the number of new cases of the dual HIV-malariainfection.
ISSN:1551-0018