Optimal control of malaria chemotherapy

We present an intra-host mathematical model of malaria that describes the interaction of the immune system with the blood stage malaria merozoites. The model is modified by incorporating the effects of malaria drugs that target blood stage parasites. The optimal control represents a percentage effe...

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Main Authors: Gesham Magombedze, Christinah Chiyaka, Zindoga Mukandavire
Format: Article
Language:English
Published: Vilnius University Press 2011-12-01
Series:Nonlinear Analysis
Subjects:
Online Access:http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/14086
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spelling doaj-8f0d96342db24d428c74c118be9ba4772020-11-25T02:41:40ZengVilnius University PressNonlinear Analysis1392-51132335-89632011-12-01164Optimal control of malaria chemotherapyGesham Magombedze0Christinah Chiyaka1Zindoga Mukandavire2University of Cape Town, South AfricaUniversity of Florida, USAUniversity of Florida, USA We present an intra-host mathematical model of malaria that describes the interaction of the immune system with the blood stage malaria merozoites. The model is modified by incorporating the effects of malaria drugs that target blood stage parasites. The optimal control represents a percentage effect of the chemotherapy of chloroquine in combination with chlorpheniramine on the reproduction of merozoites in erythrocytes. First we maximise the benefit based on the immune cells, and minimise the systemic cost based on the percentage of chemotherapies given and the population of merozoites. An objective functional to minimise merozite reproduction and treatment systemic costs is then built. The existence and uniqueness results for the optimal control are established. The optimality system is derived and the Runge–Kutta fourth order scheme is used to numerically simulate different therapy efforts. Our results indicate that highly toxic drugs with the compensation of high infection suppression have the potential of yeilding better treatment results than less toxic drugs with less infection suppression potential or high toxic drugs with less infection suppression potential. In addition, we also observed that a treatment protocol with drugs with high adverse effects and with a high potential of merozoite suppression can be beneficial to patients. However, an optimal control strategy that seeks to maximise immune cells has no potential to improve the treatment of blood stage malaria. http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/14086malaria modellingchroloquine chemotherapyoptimal controlPlasmodium falciparum
collection DOAJ
language English
format Article
sources DOAJ
author Gesham Magombedze
Christinah Chiyaka
Zindoga Mukandavire
spellingShingle Gesham Magombedze
Christinah Chiyaka
Zindoga Mukandavire
Optimal control of malaria chemotherapy
Nonlinear Analysis
malaria modelling
chroloquine chemotherapy
optimal control
Plasmodium falciparum
author_facet Gesham Magombedze
Christinah Chiyaka
Zindoga Mukandavire
author_sort Gesham Magombedze
title Optimal control of malaria chemotherapy
title_short Optimal control of malaria chemotherapy
title_full Optimal control of malaria chemotherapy
title_fullStr Optimal control of malaria chemotherapy
title_full_unstemmed Optimal control of malaria chemotherapy
title_sort optimal control of malaria chemotherapy
publisher Vilnius University Press
series Nonlinear Analysis
issn 1392-5113
2335-8963
publishDate 2011-12-01
description We present an intra-host mathematical model of malaria that describes the interaction of the immune system with the blood stage malaria merozoites. The model is modified by incorporating the effects of malaria drugs that target blood stage parasites. The optimal control represents a percentage effect of the chemotherapy of chloroquine in combination with chlorpheniramine on the reproduction of merozoites in erythrocytes. First we maximise the benefit based on the immune cells, and minimise the systemic cost based on the percentage of chemotherapies given and the population of merozoites. An objective functional to minimise merozite reproduction and treatment systemic costs is then built. The existence and uniqueness results for the optimal control are established. The optimality system is derived and the Runge–Kutta fourth order scheme is used to numerically simulate different therapy efforts. Our results indicate that highly toxic drugs with the compensation of high infection suppression have the potential of yeilding better treatment results than less toxic drugs with less infection suppression potential or high toxic drugs with less infection suppression potential. In addition, we also observed that a treatment protocol with drugs with high adverse effects and with a high potential of merozoite suppression can be beneficial to patients. However, an optimal control strategy that seeks to maximise immune cells has no potential to improve the treatment of blood stage malaria.
topic malaria modelling
chroloquine chemotherapy
optimal control
Plasmodium falciparum
url http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/14086
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AT zindogamukandavire optimalcontrolofmalariachemotherapy
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