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

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dc.creatorHelikumi, Mlyashimbi
dc.creatorKgosimore, Moatlhodi
dc.creatorKuznetsov, Dmitry
dc.creatorMushayabasa, Steady
dc.date2020-03-17T07:35:11Z
dc.date2020-03-17T07:35:11Z
dc.date2020-02-27
dc.date.accessioned2022-10-25T09:15:53Z
dc.date.available2022-10-25T09:15:53Z
dc.descriptionThis research article published by AIMS Press, 2020
dc.descriptionThe 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.
dc.formatapplication/pdf
dc.identifier10.3934/mbe.2020139.
dc.identifierhttp://dspace.nm-aist.ac.tz/handle/123456789/640
dc.identifier.urihttp://hdl.handle.net/123456789/94670
dc.languageen
dc.publisherAIMS Press
dc.subjectTrypanosoma brucei rhodesiense
dc.subjectoptimal control
dc.titleDynamical and optimal control analysis of a seasonal Trypanosoma brucei rhodesiense model
dc.typeArticle

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