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Global stability analysis for a tick-borne model

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dc.contributor.author Azamat, Daiana
dc.contributor.editor Kashkynbayev, Ardak
dc.contributor.other Tourassis, Vassilios D.
dc.date.accessioned 2019-08-29T04:57:23Z
dc.date.available 2019-08-29T04:57:23Z
dc.date.issued 2019-05-06
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/4193
dc.description Submitted to the Department of Mathematics on May 6, 2019, in partial fulfillment of the requirements for the degree of Master of Science in Applied Mathematics en_US
dc.description.abstract This thesis consider three type of epidemiological models: SIR, SIS and SIRS with nonlinear incidence rate and piecewise constant delay of generalized type. In this paper the total population size is varied with time elapse. We study the global asymptotic stability of the disease-free and endemic equilibrium states of models by constructing suitable Lyapunov functions and Lyapunov–LaSalle technique. The main contribution of this master thesis is to develop more realistic compartmental models by extending the literature of models with piecewise constant delay. The theoretical findings are illustrated through numerical simulations. en_US
dc.language.iso en en_US
dc.publisher Nazarbayev University School of Science and Technology en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Research Subject Categories::MATHEMATICS::Applied mathematics en_US
dc.subject SIR en_US
dc.subject SIS en_US
dc.subject SIRS en_US
dc.subject epidemiological model en_US
dc.subject global asymptotic stability en_US
dc.subject Lyapunov functions en_US
dc.subject Lyapunov–LaSalle technique en_US
dc.subject endemic equilibrium states of models en_US
dc.title Global stability analysis for a tick-borne model en_US
dc.type Master's thesis en_US
workflow.import.source science


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