Optimal control strategy of Rotavirus Disease for a Discrete Time SIRSE Model

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dc.contributor.authorNamawejje, Hellen
dc.contributor.authorObuya, Emmanuel
dc.date.accessioned2021-05-12T10:02:41Z
dc.date.available2021-05-12T10:02:41Z
dc.date.issued2019-08
dc.descriptionPaper presented at the 5th Strathmore International Mathematics Conference (SIMC 2019), 12 - 16 August 2019, Strathmore University, Nairobi, Kenyaen_US
dc.description.abstractIn this paper, we examine the optimal control strategy of an SIRSE (Susceptible Infected Recovered - Susceptible - Environment) model with discrete time. With an objective to reduce the number of infected individuals and the associated cost involved. We analyze the conditions for optimality using the optimal control theory and Pontryagins maximum principle in discrete time. The numerical simulation is carried out using MATLAB, solving the fourth order Runge- Kutta Scheme. Results obtained confirm that multiple control strategies are more effective in the controlling of rotavirus disease.en_US
dc.description.sponsorshipMakerere University, Uganda. University of Kisubi, Uganda.en_US
dc.identifier.urihttp://hdl.handle.net/11071/11839
dc.language.isoen_USen_US
dc.publisherStrathmore Universityen_US
dc.subjectDiscrete timeen_US
dc.subjectOptimal controlen_US
dc.subjectRotavirusen_US
dc.subjectPontryagins maximum Principleen_US
dc.titleOptimal control strategy of Rotavirus Disease for a Discrete Time SIRSE Modelen_US
dc.typeArticleen_US
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