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Dynamics and reliable numerics for some epidemic models with and without delay

Thesis (PhD)--University of Pretoria, 2015.

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Other Authors: Lubuma, Jean M.-S.
Format: Thesis
Language:English
Published: University of Pretoria 2016
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access_status_str Open Access
author2 Lubuma, Jean M.-S.
author_browse Lubuma, Jean M.-S.
author_facet Lubuma, Jean M.-S.
collection Thesis
dc_rights_str_mv © 2016, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD)--University of Pretoria, 2015.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:49.043Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/53498 Dynamics and reliable numerics for some epidemic models with and without delay Lubuma, Jean M.-S. adamsygu@yahoo.com Garba, Salisu M. Gumel, A.B. Hassan, Shitu UCTD Thesis (PhD)--University of Pretoria, 2015. The thesis addresses two main problems. The first is that of designing reliable numerical method for approximating an SIS (susceptible-infectedsusceptible) disease transmission model with discrete time delay. This is achieved by using the theory and methodology of nonstandard finite difference discretization which leads to a novel and robust numerical methods which, unlike many other standard numerical integrators, were shown to be dynamically consistent with the continuous delay SIS model. The second problem is the mathematical modeling of the transmission dynamics of bovine and mycobacterium tuberculosis in a human-buffalo population. The buffalo-only component of the resulting deterministic model undergo the phenomenon of backward bifurcation, due to the re-infection of exposed and recovered buffalos. Furthermore, this sub-model has a unique endemic equilibrium point which is shown to be globally asymptotically stable for a special case, whenever the associated reproduction number exceeds unity. Uncertainty and sensitivity analyses, using data relevant to the dynamics of the two diseases in the Kruger National Park, South Africa, show that the distribution of the associated reproduction number is less than unity (hence, the diseases would not persist in the community). Crucial parameters that influence the dynamics of the two diseases are also identified. The human-buffalo model exhibit the same qualitative dynamics as the sub-model with respect to the local and global asymptotic stability of their respective disease free equilibrium, as well as the backward bifurcation phenomenon. Numerical simulations for the human-buffalo model show that the cumulative number of mycobacterium tuberculosis cases in humans (buffalos) decreases with increasing number of bovine tuberculosis infections in humans (buffalos). Mathematics and Applied Mathematics PhD Unrestricted 2016-07-01T10:33:05Z 2016-07-01T10:33:05Z 2016-04-13 2015 Thesis Hassan, S 2016, Dynamics and reliable numerics for some epidemic models with and without delay, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/53498> A2016 http://hdl.handle.net/2263/53498 en © 2016, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Dynamics and reliable numerics for some epidemic models with and without delay
title Dynamics and reliable numerics for some epidemic models with and without delay
title_full Dynamics and reliable numerics for some epidemic models with and without delay
title_fullStr Dynamics and reliable numerics for some epidemic models with and without delay
title_full_unstemmed Dynamics and reliable numerics for some epidemic models with and without delay
title_short Dynamics and reliable numerics for some epidemic models with and without delay
title_sort dynamics and reliable numerics for some epidemic models with and without delay
topic UCTD
url http://hdl.handle.net/2263/53498