Pemodelan Jumlah Penderita Tuberkulosis di Provinsi Jawa Timur Tahun 2018 Menggunakan Metode Generalized Poisson Regression

Wulandari, Dwi Nia; Salamah, Mutiah

doi:10.12962/j23373520.v11i1.62721

Cited by 2 publications

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“…Banyak faktor yang menyebabkan kejadian tuberculosis diantaranya kepadatan penduduk, sanitasi yang layak, jumlah penduduk usia produktif, dan jumlah rumah tangga ber-PHBS (Pola Hidup Bersih dan Sehat) (Wulandari & Salamah, 2022) (Asriyanti et al, 2022). Selain itu faktor penyebab kejadian tuberculosis yang lain adalah persentase bayi yang mendapatkan imunisasi BCG, jumlah posyandu, jumlah penduduk miskin, dan jumlah balita yang kurang gizi (Masnarivan & Haq, 2022) (Juwita et al, 2021).…”

Section: Pendahuluanunclassified

“…Penelitian terdahulu tentang tuberculosis sudah banyak dilakukan, diantaranya dengan memodelkan kejadian tuberculosis per wilayah menggunakan Geographically Weighted Regression (GWR) untuk mengetahui faktor penyebab kejadian tuberculosis pada masing-masing wilayah (Asril et al, 2021) (Khariyani et al, 2022) (Al Karima et al, 2021. Banyaknya kejadian tuberculosis ini juga sering dianalisis menggunakan pendekatan poisson karena merupakan variabel jumlah yang diduga berdistribusi poisson (Lestari et al, 2014) (Wulandari & Salamah, 2022) (Khaulasari & Antonius, 2019). Selain itu karena pola hubungan yang tidak jelas antara banyaknya kejadian tuberculosis dengan variabel yang diduga menjadi penyebab, maka untuk memodelkan kejadian tuberculosis menggunakan regresi nonparametrik (Darma et al, 2020) (Nisa & Budiantara, 2016) (Asriyanti et al, 2022).…”

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Regresi Data Panel Untuk Pemodelan Jumlah Penderita Tuberculosis di Kabupaten Bojonegoro

Kartini

Cahyani

Himawati

2022

JSA

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Tuberculosis is a type of infectious disease that is contagious and causes death. In Bojonegoro district, the number of tuberculosis patients is quite high, reaching 3,401 patients in 2019. The DOTS strategy has been used, but it is not optimal in reducing the incidence of tuberculosis. Therefore, research is needed to determine the faktors that significantly cause the incidence of tuberculosis and predict the incidence of tuberculosis for some time to come. The incidence of tuberculosis is not only influenced by the faktors causing tuberculosis but is also influenced by a certain period of time. So that in this study the panel data regression method will be used to model the number of tuberculosis patients in Bojonegoro district in 2018-2020. The variables used are the number of tuberculosis sufferers (Y), the number of stunting cases (X1), the number of trained health workers (X2), the number of proper sanitation (X3), the number of PHBS households (X4), and the number of productive age population ( X5). Based on the analysis results show that the best estimation model is using the Fixed Effect Model (FEM) approach. The variables that significantly affect the number of tuberculosis sufferers in Bojonegoro district in 2018-2020 are the number of stunting cases (X1), the number of proper sanitation (X3) and the number of productive age population (X5) with a coefficient of determination of 71%.

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Section: Pendahuluanunclassified

Regresi Data Panel Untuk Pemodelan Jumlah Penderita Tuberculosis di Kabupaten Bojonegoro

Kartini

Cahyani

Himawati

2022

JSA

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Correlation Between Livable Housing, BCG Immunization Coverage, and Population Density with Child Tuberculosis Incidence in East Java Province 2020-2022

Prameswari,

Hendrati

2024

JKL

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Introduction: Mycobacterium tuberculosis bacteria can cause tuberculosis disease. In 2022, East Java Province reported 8,398 cases of child tuberculosis with a discovery coverage of 105.6%. This study aims to describe the distribution of child tuberculosis incidence in East Java Province by mapping and analyzing the correlation between livable houses, BCG immunization coverage, and population density with the incidence of child tuberculosis in 38 districts/cities in East Java Province from 2020 to 2022. Methods: This was a descriptive approach with a population correlation study design using the Spearman correlation statistical test. Secondary records from the East Java Health Profile 2020, 2021, and 2022 were used in this study. Thirty-eight districts/cities in the province of East Java comprised the study's population. Results and Discussion: This study showed that there has been a positive correlation between BCG immunization coverage in 2020 (r=0.043); 2021 (r=0.140); 2022 (r=0.214) and population density 2020 (r=0.082); 2021 (r=0.102); and 2022 (r=0.174) with the incidence of child tuberculosis. Meanwhile, the correlation between livable houses and the incidence of child tuberculosis is negative in 2020 (r=-0.990) and 2022 (r=-0.047) but positive in 2021 (r=0.078). Conclusion: The increase in BCG immunization coverage and population density aligns with the increase in child tuberculosis cases. Meanwhile, an increase in the percentage of access to livable houses is followed by a decrease in the incidence of child tuberculosis.

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Pemodelan Jumlah Penderita Tuberkulosis di Provinsi Jawa Timur Tahun 2018 Menggunakan Metode Generalized Poisson Regression

Cited by 2 publications

References 0 publications

Regresi Data Panel Untuk Pemodelan Jumlah Penderita Tuberculosis di Kabupaten Bojonegoro

Regresi Data Panel Untuk Pemodelan Jumlah Penderita Tuberculosis di Kabupaten Bojonegoro

Correlation Between Livable Housing, BCG Immunization Coverage, and Population Density with Child Tuberculosis Incidence in East Java Province 2020-2022

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