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Mathematical Modeling of the Epidemiology of Varicella

A thesis submitted to the Board of Postgraduate Studies, Kwame Nkrumah University of Science and Technology, Kumasi, in partial fulfilment of the requirements for the award of the Degree of Master of Philosophy

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Main Author: Ofori, Michael Martey
Format: Thesis
Language:English
Published: 2012
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access_status_str Open Access
author Ofori, Michael Martey
author_browse Ofori, Michael Martey
author_facet Ofori, Michael Martey
author_sort Ofori, Michael Martey
collection Thesis
description A thesis submitted to the Board of Postgraduate Studies, Kwame Nkrumah University of Science and Technology, Kumasi, in partial fulfilment of the requirements for the award of the Degree of Master of Philosophy
format Thesis
id oai:ir.knust.edu.gh:123456789/4105
institution KNUST (Ghana)
language English
last_indexed 2026-06-10T12:31:18.486Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
publishDate 2012
publishDateRange 2012
publishDateSort 2012
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source_str KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
spelling oai:ir.knust.edu.gh:123456789/4105 Mathematical Modeling of the Epidemiology of Varicella Ofori, Michael Martey A thesis submitted to the Board of Postgraduate Studies, Kwame Nkrumah University of Science and Technology, Kumasi, in partial fulfilment of the requirements for the award of the Degree of Master of Philosophy In this thesis a modified SIR mathematical model on the spread of Varicella (Chickenpox) in Ghana was developed. Here the population is divided into three compartments: the susceptibles, the infectives, and the recovered. The resulting system of non-linear differential equations was analysed, thus in respect of the stability of the equilibrium points. The model focuses on the spread of the disease at the initial stages of the infection when the infected persons are absent and when they are present taking into consideration birth rate and natural death rate. The study is based on the assumption that the population of Ghana is constant, and the natural death rate was assumed to be equal to the birth rate. We then determine how the various compartments react to increasing proportion of persons at the initial stages of their infection. We perform sensitivity analysis on the already estimated model parameters to determine their effect on the reproductive number and at what values of the reproductive number are the disease free and endemic equilibra stable. KNUST 2012-06-20T12:03:52Z 2023-04-20T13:08:29Z 2012-06-20T12:03:52Z 2023-04-20T13:08:29Z 2011 Thesis https://ir.knust.edu.gh/handle/123456789/4105 en application/pdf
spellingShingle Ofori, Michael Martey
Mathematical Modeling of the Epidemiology of Varicella
title Mathematical Modeling of the Epidemiology of Varicella
title_full Mathematical Modeling of the Epidemiology of Varicella
title_fullStr Mathematical Modeling of the Epidemiology of Varicella
title_full_unstemmed Mathematical Modeling of the Epidemiology of Varicella
title_short Mathematical Modeling of the Epidemiology of Varicella
title_sort mathematical modeling of the epidemiology of varicella
url https://ir.knust.edu.gh/handle/123456789/4105
work_keys_str_mv AT oforimichaelmartey mathematicalmodelingoftheepidemiologyofvaricella