Journal of Physics Conference Series · 2018 · 24 citations · 3 references
Public HealthInfectious Disease ControlInfectious DiseasesBiological Systems ModelingCompartmental ModelingTuberculosis ControlInfectious Disease DynamicsNumerical AnalysisNumerical Methods For Differential EquationsTransmission DynamicsTuberculosis EpidemiologyTuberculosis PreventionDisease Spread SimulationEpidemic ModelsForecasting Disease SpreadForecasting Infectious Disease TransmissionInfectious Disease ModelsMathematical Modeling Of EpidemicsSecondary Data UseTransmission Dynamics Modeling
This paper discusses the numerical solution of the SIR model on the spread of Tuberculosis by the Runge-Kutta method. The data used is secondary data of Tuberculosis cases in Makassar city from Health Department of South Sulawesi Province in 2015. The result obtained is a general solution of SIR model of Tuberculosis transmission by fourth-order Runge-Kutta method. The results of model analysis and simulation using data on the number of tuberculosis cases in Makassar showed that tuberculosis cases increased for some time, then decreased. The results have also shown that the fourth-order Runge-Kutta method can be used to predict the transmission and to be considered for the prevention of Tuberculosis in Makassar.
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Syafruddin Side, Wahidah Sanusi, Muhammad Kasim Aidid et al. · Asian Journal of Applied Sciences · 2016 · 41 citations · Full text
Veterinary Medicine, Infectious Diseases, Biological Systems Modeling +16