Inggarputri, Yuanita Rizky
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Pemetaan Kerawanan serta Penentuan Prioritas Penanganan Penyakit Tuberkulosis di Provinsi Jawa Barat Tahun 2021 Novitasari, Prihatini Dini; Inggarputri, Yuanita Rizky
VJKM: Varians Jurnal Kesehatan Masyarakat Vol. 1 No. 1 (2023): Desember 2023
Publisher : Varians Statistik Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63953/vjkm.v1i1.4

Abstract

Tuberculosis (TBC) is one of several communicable diseases which is still being public health problem in the world and in Indonesia. In 2021, West Java Province is still the province with the highest number of tuberculosis cases in Indonesia. The high cases of tuberculosis cannot be separated from various risk factors that are still frequently encountered in the community. This study aims to describe the distribution of tuberculosis cases in West Java and determine priority areas for tuberculosis treatment based on spatial/regional risk factors. This research was conducted in West Java Province in 2022, carried out descriptively using the Geographic Information System (GIS) application with a scoring technique. The research data is in the form of secondary data that comes from several open data access units of analysis based on regency/city administration. The results showed that out of 27 regencies/cities, there were 5 regencies/cities with very high levels of vulnerability with the first treatment priority being Bandung City, onwards Purwakarta Regency, Cianjur Regency, Bandung Regency, West Bandung Regency. The government is expected to be able to improve efforts to prevent and handle tuberculosis cases by prioritizing districts/cities with very high levels of vulnerability.
Spatial analysis of tuberculosis cases diffusion based on population density in Bekasi Regency in 2017-2021 Inggarputri, Yuanita Rizky; Trihandini, Indang; Novitasari, Prihatini Dini; Makful, Martya Rahmaniati
BKM Public Health and Community Medicine Vol 39 No 01 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i01.6462

Abstract

Purpose: This research aims to examine the spatial relationship between tuberculosis cases and population density and their spatial diffusion patterns in Bekasi Regency in 2017-2021. Methods: Research using an ecological study design using spatial analysis to estimate and analyze the distribution of tuberculosis prevalence related to population density in 23 sub-districts in Bekasi Regency, compare data from 2017 to 2021 and evaluate the spatial correlation. The data is taken from secondary data from the Bekasi District Health Office for 2017-2021. Results: This study shows a spatial autocorrelation between tuberculosis cases and population density from 2017 to 2021 (I>E; p-value <0,05). There is spatial diffusion of cases characterized by expanding clusters with high tuberculosis cases. High-high cluster in 2017, there was one sub-district. In 2018 there was also one sub-district. In 2019 there were two sub-districts. In 2020, there were three sub-districts. And in 2021, there were five districts. Conclusion: This research shows a positive spatial autocorrelation in the incidence, which is influenced by population density in Bekasi Regency from year to year (2017-2021) with a clustering pattern.