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HUBUNGAN FAKTOR PETUGAS PUSKESMAS ASSOCIATION BETWEEN FACTORS OF STAFF OF HEALTH CENTERS AND COVERAGE OF POSITIVE ACID FAST BACILLUS OF LUNG TUBERCULOSIS, 25(4), 189–194. Hubungan faktor risiko umur, jenis kelamin dan kepadatan hunian dengan kejadian penyakit tb paru di desa wori kecamatan wori, 3, 57–65.Įfrizon Hariadi, Iswanto, R. Profil Kesehatan Jawa Barat 2017.ĭotulong, J. Produk Domestik Regenciesal Bruto, 85–88.ĭinas Kesehatan Provinsi Jawa Barat. Metadata - Produk Domestik Bruto (PDB), (March), 3–6.ĭepartemen Statistik Ekonomi dan Moneter Bank Indonesia. International Journal for Equity in Health, 17(1), 1–10. Tuberculosis incidence inequalities and its social determinants in Manaus from 2007 to 2016. Health extension workers improve tuberculosis case finding and treatment outcome in Ethiopia: A large-scale implementation study. J., Blok, L., Suvanand, S., Creswell, J., & Cuevas, L. An ecological analysis of incidence of tuberculosis and per capita gross domestic product. Kemiskinan Provinsi Jawa Barat.īPS Provinsi Jawa Barat. International Journal of Social Sciences and Humanity Studies, 4(2), 147–158. The importance of health expenditures on sustainable development. Assessing the effects of poverty in tuberculosis transmission dynamics. The Failures of Privatization: A Comparative Investigation of Tuberculosis Rates and the Structure of Healthcare in Less-Developed Nations, 1995-2010. The International Journal of Tuberculosis and Lung Disease, 21(7), 784–789. Tuberculosis inequalities and socio-economic deprivation in Portugal. I., Krainski, E., Sousa, P., Abranches, M., & Duarte, R. While the total health workers and GRDP each has negative and significant effect on the Tuberculosis cases in West Java Pronvice.Īpolinário, D., Ribeiro, A. The result shows that total poverty, total population, and population density each has positive and significant effect on Tuberculosis cases in West Java Pronvice. As for the indenpendent variables, this paper uses total poverty, total population, population density, total health workers, and GDPR of each cities and regencies in West Java Pronvice. This paper uses total number of Tuberculosis cases as the dependent variable. This paper uses Random Effect Model with data of 27 cities and regencies in West Java Pronvice from 2014 to 2017 that collected from Badan Pusat Statistik (BPS) of West Java Pronvice. This paper ‘s objective is to to estimate the effect of total poverty, total population, population density, total health workers, and GRDP on Tuberculosis cases in each cities and regency in West Java, Indonesia. Meanwhile, in West Java Province, Indonesia, a total of 59.833 people infected by Tuberculosis in 2017. Tuberculosis, as the second deadliest infectious disease, has caused a total of estimated 1.6 million deaths in 2017 alone.