Mathematical models for Tuberculosis spread in humans select="/dri:document/dri:meta/dri:pageMeta/dri:metadata[@element='title']/node()"/>

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dc.contributor.author Amakutsi, Charlotte
dc.date.accessioned 2018-05-26T16:08:04Z
dc.date.available 2018-05-26T16:08:04Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/11070/2277
dc.description A mini thesis submitted in partial fulfillment of the requirements for the Degree of Master of Science in Applied Mathematics en_US
dc.description.abstract We studied two models describing transmission dynamics of tuberculosis (TB) and discussed their implications to human health. The first model is analyzed in the presence of treatment of active TB persons and the screened asymptomatic TB infectives. The second model is analyzed by looking at treatment of drug sensitive TB as well as drug resistant TB individuals. The models are built with a motive to study the dynamical behaviors of the trajectories which has the potential to guide TB control and also to influence policies for decision making. The basic reproduction number for each model is calculated by using the next generation method and conditions for disease elimination/persistence are determined. Numerical simulation results show that for the first model, R0 > 1; implying that the disease-free equilibrium is unstable. For the second model, however, R0 < 1; indicating that the disease-free equilibrium is a stable steady state and that in case of an outbreak, the disease will not spread. Simulation results also shows that increasing the rate of treatment significantly reduces the value of the reproductive number. Hence, we concluded through this study that proper screening, early detection and a high treatment rate, leading to a high successful treatment rate can reduce TB spread. en_US
dc.language.iso en en_US
dc.publisher University of Namibia en_US
dc.subject Tuberculosis model en_US
dc.subject Positivity analysis en_US
dc.subject Basic reproduction en_US
dc.subject Free equilibrium en_US
dc.title Mathematical models for Tuberculosis spread in humans en_US
dc.type Thesis en_US


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