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A Mathematical Model to Predict the Prevalence and Transmission Dynamics of Tuberculosis in Amansie West District, Ghana
28
Citations
9
References
2014
Year
Tuberculosis PreventionEpidemiological DynamicDisease OutbreakComputational EpidemiologyEndemic EquilibriumInfectious Disease ModellingInfectious Disease EcologyAmansie West DistrictInfection ControlPreventive TreatmentTransmission DynamicsInfectious Disease EpidemiologyPulmonary TuberculosisTuberculosisEpidemiologyDisease PropagationInfectious Disease ModelingNon–negative EquilibriaMathematical ModelDisease TransmissionMedicineThreshold Parameter R0
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 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.
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