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Mathematical Model Susceptible, Infected and Recovered with Therapy of Tuberculosis Transmission
Author(s) -
Hafni Indriati Nasution,
Suria Marlina
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1462/1/012056
Subject(s) - tuberculosis , mycobacterium tuberculosis , medicine , disease , transmission (telecommunications) , infectious disease (medical specialty) , intensive care medicine , pathology , computer science , telecommunications
Tuberculosis (TB) is one of infectious disease caused by bacteria Mycobacterium Tuberculosis which most often attacks the bronchi. Tuberculosis spreads from person to person by direct contact or also through the air. TB is very dangerous and can attack anyone and if it is not seriously treated will cause death. But if TB given treatment seriously this TB will recover. One treatment of TB is with long-term therapy. This therapy is very influential for recovery of infected people of TB. This article discusses the dynamics of the spread of tuberculosis with therapy through mathematical modeling, the model of disease spread adopted is the SIR Model. From the results of the research showed that by giving therapy to TB patients had a positive and significant effect, especially on recovering, the greater the value of the therapy parameters, the higher the patient’s recovery rate

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