A stochastic TB model for a crowded environment

dc.contributor.authorVyambwera, Sibaliwe Maku
dc.contributor.authorWitbooi, Peter
dc.date.accessioned2018-06-19T12:40:05Z
dc.date.available2018-06-19T12:40:05Z
dc.date.issued2018
dc.description.abstractWe propose a stochastic compartmental model for the population dynamics of tuberculosis. The model is applicable to crowded environments such as for people in high density camps or in prisons. We start off with a known ordinary differential equation model, and we impose stochastic perturbation.We prove the existence and uniqueness of positive solutions of a stochastic model. We introduce an invariant generalizing thebasic reproductionnumber andprove the stabilityof thedisease-free equilibriumwhen it is below unity or slightly higher than unity and the perturbation is small. Ourmain theorem implies that the stochastic perturbation enhances stability of the disease-free equilibrium of the underlying deterministic model. Finally, we perform some simulations to illustrate the analytical findings and the utility of the model.en_US
dc.identifier.citationVyambwera, S.M. & Witbooi, P. (2018). A stochastic TB model for a crowded environment. Journal of Applied Mathematics, 2018: 3420528en_US
dc.identifier.issn1110-757X
dc.identifier.urihttps://doi.org/10.1155/2018/3420528
dc.identifier.urihttp://hdl.handle.net/10566/3819
dc.language.isoenen_US
dc.privacy.showsubmitterFALSE
dc.publisherHindawien_US
dc.rightsCopyright © 2018 Sibaliwe Maku Vyambwera and Peter Witbooi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.status.ispeerreviewedTRUE
dc.subjectPopulation dynamicsen_US
dc.subjectTuberculosisen_US
dc.subjectCrowded environmentsen_US
dc.subjectCampsen_US
dc.subjectPrisonsen_US
dc.titleA stochastic TB model for a crowded environmenten_US
dc.typeArticleen_US

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