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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Vilnius University Press
2011-12-01
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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.
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topic |
malaria modelling chroloquine chemotherapy optimal control Plasmodium falciparum |
url |
http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/14086 |
work_keys_str_mv |
AT geshammagombedze optimalcontrolofmalariachemotherapy AT christinahchiyaka optimalcontrolofmalariachemotherapy AT zindogamukandavire optimalcontrolofmalariachemotherapy |
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