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Dinda Nabila Silva Diba
Master’s Program in Public Health, Universitas Sebelas Maret
Public Health

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Spatial Analysis of Pulmonary Tuberculosis Risk in Surakarta, Central Java, Indonesia Dinda Nabila Silva Diba; Bhisma Murti; Noor Alis Setiyadi
Journal of Epidemiology and Public Health Vol. 9 No. 3 (2024)
Publisher : Masters Program in Public Health

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2024.09.03.12

Abstract

Background: Pulmonary tuberculosis is an infectious disease, especially in developing countries. In 2022, the total number of tuberculosis cases in Indonesia was 677,464 cases. This study aims to conduct a spatial analysis of factors such as population size, population density, number of poor population, number of unemployed, healthy houses, and temperature to the number of pulmonary tuberculosis cases in the working area of health centers in Surakarta City in 2022.Subjects and Method: Spatial analysis was carried out by descriptive analysis of distribution maps using QGIS, spatial cluster analysis using SaTScanTM, and autocorrelation analysis by Local Indicators of Spatial Autocorrelation (LISA) method using GeoDa. Secondary data was obtained from the public communication of the Central Statistics Agency of Surakarta and the Surakarta Health Profile in 2022. The analysis unit includes 17 working areas of health centers in Surakarta. The dependent variable is the TB cases. The independent variables were population density, number of poor people, number of unemployed, number of healthy houses, and temperature.Results: The highest number of pulmonary TB cases were in Purwodiningratan Health Center and Sangkrah Health Center. There is the most likely cluster of pulmonary tuberculosis cases which is statistically significant in 2022 (Radius = 1.81 km; RR=17.65; p=0.003). Autocorrelation analysis showed E[I]=-0.06. There was a positive and significant spatial autocorrelation of the population (I=0.40; p=0.003), population density (I=0.33; p=0.002), number of poor people (I=0.40; p=0.002), number of unemployed (I=0.40; p=0.003), and temperature (I=0.25; p=0.009) of pulmonary TB cases in Surakarta.Conclusion: Population number, population density, number of poor population, number of unemployed, and temperature have positive spatial autocorrelation with pulmonary TB.
Effects of Condom Use, Anal Bleeding, and Group Sex on the Risk of HIV Infection in Men Who Have Sex: A Meta-Analysis La Karman Gojali; Dinda Nabila Silva Diba; Jihan Nabilla; Bhisma Murti; Elsa Tursina
Journal of Epidemiology and Public Health Vol. 9 No. 4 (2024)
Publisher : Masters Program in Public Health

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2024.09.04.06

Abstract

Background: Sexual transmission of HIV among men who have sex with men (MSM) continues to increase. There are several factors that affect the occurrence of HIV infection in Male Sex Addiction. In this study, we will discuss three factors, namely condom use, anal bleeding and sex group ownership. This study aims to analyze and estimate the strength of the relationship between the incidence of HIV infection and condom use, anal bleeding, and sex group ownership.Subjects and Method: A systematic review and meta-analysis study was conducted using the PICO model. Population: male sex male. Intervention: not using condoms, anal bleeding after sex, and having sex groups. Comparison: using a condom, no anal bleeding after sex, and no sex group. Outcome: HIV infection. The basic data used includes Google Scholar, Proquest, Scopus, PubMed, Zendy, ScienceDirect, BMC, Elsivier, and Springer Link. The inclusion criteria are full-text articles with a cross-sectional study design using multivariate and attaching aOR values and published 1996-2023. The Data analysis using the Review Manager 5.3 application.Results: This meta-analysis was carried out on seven cross-sectional studies originating from China, Tanzania, and Brazil. Total sample size=13,188 people. The risk of HIV infection in men who have sex with men increased with the use of no condoms (aOR= 1.35; CI 95%= 1.10 to 1.65; p= 0.004), there was anal bleeding after sex (aOR= 1.89; CI 95%= 1.53 to 2.34; p<0.001), and group sex (aOR= 2.30; CI 95%= 1.62 to 3.25); p<0.001).Conclusion: The risk of HIV infection in men who have sex with men increases by not using condoms, having anal bleeding after sex, and having group sex.
Co-Authors Bhisma Murti Elsa Tursina Jihan Nabilla La Karman Gojali Noor Alis Setiyadi