A Mathematical Model to Predict the Prevalence and Transmission Dynamics of Tuberculosis in Amansie West District, Ghana

Dontwi, I.K. and Obeng-Denteh, W. and Andam, E.A. and Obiri-Apraku, L. (2014) A Mathematical Model to Predict the Prevalence and Transmission Dynamics of Tuberculosis in Amansie West District, Ghana. British Journal of Mathematics & Computer Science, 4 (3). pp. 402-425. ISSN 22310851

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Abstract

In this paper, a Susceptible - Exposed - Infected - Recovered (SEIR) epidemiological model is formulated to determine the transmission of tuberculosis. The equilibrium points of the model are found and their stability is investigated. By analyzing the model, a threshold parameter R0 was found which is the basic reproductive number. It is noted that when R0 < 1 the disease will fail to spread and when R0 > 1 the disease will persist in the population and become endemic. The model has two non–negative equilibria namely the disease – free equilibrium and the endemic equilibrium. The graphical solutions of the differential equations were developed using Matlab as well as the computer simulations.

Item Type: Article
Subjects: OA Open Library > Mathematical Science
Depositing User: Unnamed user with email support@oaopenlibrary.com
Date Deposited: 17 Jun 2023 10:32
Last Modified: 07 Dec 2023 03:38
URI: http://archive.sdpublishers.com/id/eprint/1105

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