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dc.contributor.authorPhang, C.
dc.contributor.authorWu, Yong Hong
dc.contributor.authorWiwatanapataphee, Benchawan
dc.date.accessioned2017-01-30T12:36:01Z
dc.date.available2017-01-30T12:36:01Z
dc.date.created2013-11-06T20:00:26Z
dc.date.issued2013
dc.identifier.citationPhang, Chang and Wu, Yonghong and Wiwatanapataphee, Benchawan. 2013. Computation of the domain of attraction for suboptimal immunity epidemic models using the maximal Lyapunov function method. Abstract and Applied Analysis. 2013 (508794); pp. 1-7.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/23210
dc.identifier.doi10.1155/2013/508794
dc.description.abstract

We are concerned with the estimation of the domain of attraction (DOA) for suboptimal immunity epidemic models. We establish a procedure to determine the maximal Lyapunov function in the form of rational functions. Based on the definition of DOA and the maximal Lyapunov function, a theorem and subsequently a numerical procedure are established to determine the maximal Lyapunov function and the DOA. Determination of the domain of attraction for epidemic models is very important for understanding the dynamic behaviour of the disease transmission as a function of the state of population distribution in different categories of disease states. We focus on suboptimal immunity epidemic models with saturated treatment rate and nonlinear incidence rate. Different from classical models, suboptimal immunity models are more realistic to explain the microparasite infection diseases such as Pertussis and Influenza A. We show that, for certain values of the parameter, larger k value (i.e., the model is more toward the SIR model) leads to a smaller DOA.

dc.publisherHindawi Publishing Corporation
dc.titleComputation of the domain of attraction for suboptimal immunity epidemic models using the maximal Lyapunov function method
dc.typeJournal Article
dcterms.source.volume2013
dcterms.source.startPage508794
dcterms.source.endPage508794
dcterms.source.issn1085-3375
dcterms.source.titleAbstract and Applied Analysis
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This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/. Please refer to the licence to obtain terms for any further reuse or distribution of this work.

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curtin.accessStatusOpen access


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