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Dynamical and optimal control analysis of a seasonal Trypanosoma brucei rhodesiense model

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dc.contributor.author Helikumi, Mlyashimbi
dc.contributor.author Kgosimore, Moatlhodi
dc.contributor.author Kuznetsov, Dmitry
dc.contributor.author Mushayabasa, Steady
dc.date.accessioned 2020-03-17T07:35:11Z
dc.date.available 2020-03-17T07:35:11Z
dc.date.issued 2020-02-27
dc.identifier.uri 10.3934/mbe.2020139.
dc.identifier.uri http://dspace.nm-aist.ac.tz/handle/123456789/640
dc.description This research article published by AIMS Press, 2020 en_US
dc.description.abstract The e ects of seasonal variations on the epidemiology of Trypanosoma brucei rhodesiense disease is well documented. In particular, seasonal variations alter vector development rates and behaviour, thereby influencing the transmission dynamics of the disease. In this paper, a mathematical model for Trypanosoma brucei rhodesiense disease that incorporates seasonal e ects is presented. Owing to the importance of understanding the e ective ways of managing the spread of the disease, the impact of time dependent intervention strategies has been investigated. Two controls representing human awareness campaigns and insecticides use have been incorporated into the model. The main goal of introducing these controls is to minimize the number of infected host population at low implementation costs. Although insecticides usage is associated with adverse e ects to the environment, in this study we have observed that by totally neglecting insecticide use, e ective disease management may present a formidable challenge. However, if human awareness is combined with low insecticide usage then the disease can be e ectively managed. en_US
dc.language.iso en en_US
dc.publisher AIMS Press en_US
dc.subject Trypanosoma brucei rhodesiense en_US
dc.subject optimal control en_US
dc.title Dynamical and optimal control analysis of a seasonal Trypanosoma brucei rhodesiense model en_US
dc.type Article en_US


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