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Number of results
2022 | 163 | 128-138

Article title

SIR Model for the Spread of Tuberculosis in Kudus Regency

Content

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EN

Abstracts

EN
The purpose of this study was to analyze the spread of tuberculosis in Kudus Regency. One of the analyzes that can be done is making a mathematical model of SIR. The SIR mathematical model describes uninfected and susceptible individuals who are infected and can transmit the disease to a number of other individuals (infectious) and individuals who have recovered or are free from disease (Recovered). From 2018 to 2019 according to the Health Profile of Kudus Regency, the spread of tuberculosis that occurred has increased in all cases, namely the number of tuberculosis sufferers in Kudus Regency reached 3,133 patients, and the number of individuals who recovered reached 589 people. Based on the analysis of the SIR model, it is found that the equilibrium point (S, I) = (52632, 8614230) will be stable when R0 > 1, with the final conclusion, the basic reproduction rate is obtained, namely R_0 = 1,6367 which indicates that one infected individual can infect 2 people on average or individuals susceptible to tuberculosis.

Year

Volume

163

Pages

128-138

Physical description

Contributors

  • Departement of Mathematics, Faculty of Science, Technology and Mathematics, Muhammadiyah University of Kudus, Indonesia
author
  • Departement of Mathematics, Faculty of Science, Technology and Mathematics, Muhammadiyah University of Kudus, Indonesia
author
  • Departement of Mathematics, Faculty of Science, Technology and Mathematics, Muhammadiyah University of Kudus, Indonesia

References

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  • [4] Ansumana, R. Et Al., 2017. Impact Of Infectious Disease Epidemics On Tuberculosis Diagnostic, Management, And Prevention Services: Experiences And Lessons From The 2014–2015 Ebola Virus Disease Outbreak In West Africa. International Journal of Infectious Diseases, Pp. 101-104
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  • [7] Chakaya, J. Et Al., 2021. Global Tuberculosis Report 2020 – Reflections On The Global TB Burden. International Journal of Infectious Diseases, Pp. 1-6
  • [8] Fudolig, M. & Howard, R., 2020. The Local Stability Of A Modified Multi-Strain SIR Model For Emerging Viral Strains. PLOS ONE, Pp. 1-27
  • [9] Iskandar, T. Et Al., 2017. Mathematical Model Of Tuberculosis Epidemic With Recovery Time Delay. AIP Conference Proceedings. 1913, 020021-1–020021-5; https://doi.org/10.1063/1.5016655
  • [10] Khan, M. A. Et Al., 2019. Modeling The Transmission Dynamics Of Tuberculosis In Khyber Pakhtunkhwa Pakistan. Advances in Mechanical Engineering, 11(6), Pp. 1-13
  • [11] Maheswari, U. K. Et Al., 2018. A Study On Epidemic Model. International Journal for Scientific Research & Development, 5(12), Pp. 97-99
  • [12] Mettle, F. O., Affi, P. O. & Twumasi, C., 2020. Modelling The Transmission Dynamics Of Tuberculosis In The Ashanti Region Of Ghana. Interdisciplinary Perspectives on Infectious Diseases, Pp. 1-16
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  • [14] Naresh, R., Sharma, D. & Tripathi, A., 2009. Modelling The Effect Of Tuberculosis On The Spread Of HIV Infection In A Population With Density-Dependent Birth And Death Rate. Mathematical and Computer Modelling, 50(7-8), Pp. 1154-1166
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  • [16] Nicho, J., 2010 . The SIR Epidemiology Model In Predicting Herd Immunity. Undergraduate Journal of Mathematical Modeling: One + Two, Volume 2.
  • [17] Nugraha, T. & Larasati, R., 2019. A Recent Update Of The Diagnostic Methods For Tuberculosis And Their Applicability In Indonesia: A Narrative Review. Medical Journal of Indonesia, 28(3), Pp. 284-291
  • [18] S. A. Egbetade, I.A. Salawu & P.A. Fasanmade , 2018. Local Stability Of Equilibrium Points Of A SIR Mathematical Model Of Infectious Diseases. World Journal of Research and Review, 6(3), Pp. 79-81
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Document Type

article

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bwmeta1.element.psjd-454d437c-1b0e-4ae2-9931-e4b61152da63
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