Le SIDA au Ghana (serveur d'exploration)

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Mathematical Analysis of the Effects of HIV-Malaria Co-infection on Workplace Productivity.

Identifieur interne : 000210 ( PubMed/Checkpoint ); précédent : 000209; suivant : 000211

Mathematical Analysis of the Effects of HIV-Malaria Co-infection on Workplace Productivity.

Auteurs : Baba Seidu [Ghana] ; Oluwole D. Makinde ; Ibrahim Y. Seini

Source :

RBID : pubmed:25980477

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English descriptors

Abstract

In this paper, a nonlinear dynamical system is proposed and qualitatively analyzed to study the dynamics and effects of HIV-malaria co-infection in the workplace. Basic reproduction numbers of sub-models are derived and are shown to have LAS disease-free equilibria when their respective basic reproduction numbers are less than unity. Conditions for existence of endemic equilibria of sub-models are also derived. Unlike the HIV-only model, the malaria-only model is shown to exhibit a backward bifurcation under certain conditions. Conditions for optimal control of the co-infection are derived using the Pontryagin's maximum principle. Numerical experimentation on the resulting optimality system is performed. Using the incremental cost-effectiveness ratio, it is observed that combining preventative measures for both diseases is the best strategy for optimal control of HIV-malaria co-infection at the workplace.

DOI: 10.1007/s10441-015-9255-y
PubMed: 25980477


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pubmed:25980477

Le document en format XML

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<div type="abstract" xml:lang="en">In this paper, a nonlinear dynamical system is proposed and qualitatively analyzed to study the dynamics and effects of HIV-malaria co-infection in the workplace. Basic reproduction numbers of sub-models are derived and are shown to have LAS disease-free equilibria when their respective basic reproduction numbers are less than unity. Conditions for existence of endemic equilibria of sub-models are also derived. Unlike the HIV-only model, the malaria-only model is shown to exhibit a backward bifurcation under certain conditions. Conditions for optimal control of the co-infection are derived using the Pontryagin's maximum principle. Numerical experimentation on the resulting optimality system is performed. Using the incremental cost-effectiveness ratio, it is observed that combining preventative measures for both diseases is the best strategy for optimal control of HIV-malaria co-infection at the workplace.</div>
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