DYNAMIC ANALYSIS OF SEITR MATHEMATICAL MODEL ON THE SPREAD OF HEPATITIS B DISEASE IN AMBON CITY

  • Swine Enggelina Larubun Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Pattimura, Indonesia https://orcid.org/0009-0001-7668-2357
  • Zeth Arthur Leleury Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Pattimura, Indonesia
  • Yopi Andry Lesnussa Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Pattimura, Indonesia https://orcid.org/0000-0002-8729-3437
  • Sylvert Prian Tahalea Institute of Informatics, University of Szeged, Hungary
  • Maria Marlein Warong Institute for Statistical Studies and Economics of Knowledge National Research University Higher School of Economics, Russia
Keywords: Equilibrium Point, Hepatitis B, SEITR Model, Stability

Abstract

Hepatitis B is a disease caused by infection with the HBV (Hepatitis B Virus) virus that commonly infects the liver and can develop into liver cancer. The disease can be transmitted through blood, semen, breast milk, saliva, vaginal fluids, and sperm. One effective way to prevent Hepatitis B disease is by vaccination. This study will construct a mathematical model, such as the SEITR model, to study the spread of Hepatitis B disease in Ambon City. The SEITR epidemic model is a disease spread model that divides the population into five subpopulation classes, namely the susceptible individual subpopulation class, the exposed individual subpopulation class, the infected individual subpopulation class, the treatment individual subpopulation class, and the recovered individual subpopulation class. Based on the dynamic system analysis conducted, two equilibrium points were obtained, namely the disease-free equilibrium point and the endemic equilibrium point. In addition, based on the data and simulation results, it can be concluded that the spread of Hepatitis B in Ambon City depends on the transmission rate from infected individuals to susceptible individuals

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References

M. Papuangan, “Penerapan Case Based Reasoning Untuk Sistem Diagnosis Penyakit Hepatitis,” [Application of Case Based Reasoning for Hepatitis Disease Diagnosis System] JIKO (Jurnal Inform. dan Komputer), vol. 1, no. 1, pp. 7–12, 2018, doi: 10.33387/jiko.v1i1.1165.

R. A. Harahap, “Pengaruh Faktor Predisposing, Enabling Dan Reinforcing Terhadap Pemberian Imunisasi Hepatitis B Pada Bayi,” [The Effect of Predisposing, Enabling and Reinforcing Factors on the Provision of Hepatitis B Immunization in Infants J. JUMANTIK, vol. 1, no. 1, p. 79, 2016.

L. G. Guidotti, R. Rochford, J. Chung, M. Shapiro, R. Purcell, and F. V. Chisari, “Viral clearance without destruction of infected cells during acute HBV infection,” Science (80-. )., vol. 284, no. 5415, pp. 825–829, 1999, doi: 10.1126/science.284.5415.825.

C. N. da S. Fernandes, M. de M. Alves, M. L. de Souza, G. A. Machado, G. Couto, and R. A. Evangelista, “Prevalence of hepatitis B and C seropositivity in pregnant women,” Rev. da Esc. Enferm., vol. 48, no. 1, pp. 89–96, 2014, doi: 10.1590/S0080-623420140000100011.

A. I. Sari, R. Rukmi, W. Perdani, and H. Mutiara, “Karakteristik Ibu Terkait Pemberian Stimulasi Motorik Kasar Anak Usia 0-12 Bulan di Posyandu di Kelurahan Penengahan Raya Kecamatan Kedaton Bandar Lampung Maternal Characteristics Based on Giving Gross Motor Stimulation for Children 0-12 Month Age at Posy,” [Maternal Characteristics Based on Giving Gross Motor Stimulation for Children 0-12 Month Age at Posyandu in Penengahan Raya Village, Kedaton District, Bandar Lampung] J. Medula, vol. 9, no. 2, pp. 374–378, 2019.

F. Blaine Hollinger, B. Bell, D. Levy-Bruhl, D. Shouval, S. Wiersma, and P. Van Damme, “Hepatitis a and B vaccination and public health,” J. Viral Hepat., vol. 14, no. SUPPL. 1, pp. 1–5, 2007, doi: 10.1111/j.1365-2893.2007.00924.x.

A. V. Kamyad, R. Akbari, A. A. Heydari, and A. Heydari, “Mathematical modeling of transmission dynamics and optimal control of vaccination and treatment for hepatitis B virus,” Comput. Math. Methods Med., vol. 2014, pp. 80–90, 2014, doi: 10.1155/2014/475451.

E. Fadlyana, K. Rusmil, and N. Sjafri Bachtiar, “Kekebalan dan keamanan setelah mendapat imunisasi hepatitis B rekombinan,” [Immunity and safety after recombinant hepatitis B immunization] Sari Pediatr., vol. 15, no. 2, pp. 87–92, 2013.

Nurhidayati, “Wilayah Kerja Puskesmas Pisangan Kota Tangerang Selatan Tahun 2016,” [Working Area of Pisangan Health Center in South Tangerang City in 2016] Hub. Pengetah. Ibu Tentang Imunisasi Dasar Terhadap Kelengkapan Imunisasi Dasar di Wil. Kerja Puskesmas Pisangan Kota Tangerang Selatan Tahun 2016, 2016.

M. R. Husain, N. Nurwan, and R. Resmawan, “Analisis Kestabilan Model Penyebaran Pengguna Narkoba Dengan Faktor Edukasi,” [Stability Analysis of Drug User Distribution Model with Education Factor] BAREKENG J. Ilmu Mat. dan Terap., vol. 14, no. 1, pp. 069–078, 2020, doi: 10.30598/barekengvol14iss1pp069-078.

K. Mu`tamar, S. Putra, and S. A. Perdana, “Analisis Penyebaran Covid-19 Dengan Menggunakan Model Sir Dan Vaksinasi Serta Estimasi Parameter,” [Analysis of the Spread of Covid-19 Using the Sir and Vaccination Model and Parameter Estimation] BAREKENG J. Ilmu Mat. dan Terap., vol. 15, no. 2, pp. 323–334, 2021, doi: 10.30598/barekengvol15iss2pp323-334.

S. S. Askar, D. Ghosh, P. K. Santra, A. A. Elsadany, and G. S. Mahapatra, “A fractional order SITR mathematical model for forecasting of transmission of COVID-19 of India with lockdown effect,” Results Phys., vol. 24, p. 104067, 2021, doi: 10.1016/j.rinp.2021.104067.

A. T. R. Sidik, L. N. Sari, and A. Ismail, “Analisis Kestabilan Model SITR pada Penyebaran Penyakit Hepatitis A dengan Vaksinasi,” [Stability Analysis of SITR Model on Hepatitis A Disease Spread with Vaccination] Res. Math. Nat. Sci., vol. 1, no. 1, pp. 1–11, 2022, doi: 10.55657/rmns.v1i1.1.

N. Zahwa, U. Nabilla, and N. Nurviana, “Model Matematika Sitr pada Penyebaran Penyakit Tuberculosis di Provinsi Aceh,” [Sitr Mathematical Model of Tuberculosis Disease Spread in Aceh Province] J. Pendidik. Mat. dan Sains, vol. 10, no. 1, pp. 8–14, 2022, doi: 10.21831/jpms.v10i1.50683.

O. Access, “STABILITY ANALYSIS OF EQUALITY POINT MATHEMATICS MODEL OF INFLUENZA VIRUS IN THE HUMAN BODY WITH,” vol. 8, no. 1, 2022.

M. Rafiq, J. Ali, M. B. Riaz, and J. Awrejcewicz, “Numerical analysis of a bi-modal covid-19 SITR model,” Alexandria Eng. J., vol. 61, no. 1, pp. 227–235, 2022, doi: 10.1016/j.aej.2021.04.102.

R. Pomalingo, R. Resmawan, and N. Nurwan, “Analisis Dinamik Model Matematika Penyebaran Populasi Perokok,” [Dynamic Analysis of the Mathematical Model of Smoker Population Distribution] J. Mat. Integr., vol. 15, no. 2, pp. 111–119, 2019, doi: 10.24198/jmi.v15.n2.22567.111-119.

I. S. Sair, “Solusi Numerik Model Penyebaran pada Penyakit Hepatitis B di Provinsi Sulawesi Selatan Menggunakan Metode Runge-Kutta Orde Empat,” [Numerical Solution of Hepatitis B Disease Spread Model in South Sulawesi Province Using Fourth Order Runge-Kutta Method] p. 1, 2018, [Online]. Available: http://eprints.unm.ac.id/6381/1/Skripsi_1311141005_Imam Satriyah Sair.pdf

S. Side, W. Sanusi, and N. F. Setiawan, “Analisis dan Simulasi Model SITR pada Penyebaran Penyakit Tuberkulosis di Kota Makassar Analysis and Simulation Of SITR Model on Tuberculosis in Makassar City,” [Analysis and Simulation of SITR Model on Tuberculosis Spread in Makassar City] J. Sainsmat, vol. V, no. 2, pp. 191–204, 2016, [Online]. Available: https://ojs.unm.ac.id/sainsmat/article/download/6448/3681

P. Liang, J. Zu, and G. Zhuang, “A literature review of mathematical models of hepatitis B virus transmission applied to immunization strategies from 1994 to 2015,” J. Epidemiol., vol. 28, no. 5, pp. 221–229, 2018, doi: 10.2188/JEA.JE20160203.

G. C. Altamirano et al., “Design of a Quarantine SITR Model Using the Novel Coronavirus Dynamics,” J. Hunan Univ. Nat. Sci., vol. 49, no. 4, pp. 288–293, 2022, doi: 10.55463/issn.1674-2974.49.4.29.

R. K. Robbi, “Analisis Stabilitas Model Epidemik Seivr Pada Penyebaran Penyakit Hepatitis B Dengan Saturated Incidence Rate,” [Stability Analysis of Seivr Epidemic Model on the Spread of Hepatitis B Disease with Saturated Incidence Rate] 2018.

S. Side, “Model SEIR Pada Penularan Hepatitis B,” [SEIR Model in Hepatitis B Transmission] Indonesian Journal of Fundamental Sciences Universitas Negeri Makassar, vol. 1, no. 1, pp. 97–102, 2015.

Statistics Agency of Ambon City, “ Life Expectancy at Birth in 2022 in Ambon City.,” 2023.

H. A. Stanislaus, “Masa Inkubasi Hepatitis B”, Ciputra Hospital, 2024.

Published
2024-07-31
How to Cite
[1]
S. Larubun, Z. Leleury, Y. Lesnussa, S. Tahalea, and M. Warong, “DYNAMIC ANALYSIS OF SEITR MATHEMATICAL MODEL ON THE SPREAD OF HEPATITIS B DISEASE IN AMBON CITY”, BAREKENG: J. Math. & App., vol. 18, no. 3, pp. 1989-2000, Jul. 2024.