Fatalitas dan Analisis Spasial Kecelakaan Lalu Lintas di Gunung Kidul

Fatality and spatial analysis of road traffic accident in Gunung KidulPurposeThis study is aimed to conduct further analysis of road accidents fatality and accident-potential area using geographic information system.MethodsThis was an analytic observational study using cross-sectional study design. Samples are all traffic accident recorded in police departement accident registry from January 1st to December 31st 2015. Data will be analyzed using poisson regression with robust variance and accident location will be analyzed spatially using ArcGIS 10.4 software.ResultsThe result revealed that 06.00-11.59 a.m (PR 0.31, 95% CI 0.144-0.687) or 12.00-17.59 p.m (PR 0.40; 95% CI 0.184-0.865), uphill roadway geometric (PR 2.16, 95% CI 1.144-4.094) or winding roadway (PR 1.80, 95% CI 1.013-3.213) and single accident type (PR 3.59; 95% CI 1.953-6.592) were significant factors affecting road traffic fatalities. Accident-prone locations to traffic accidents in Gunungkidul are clustered on several streets, such as Yogyakarta-Wonosari Street, Karangmojo-Semin Road, Wonosari Semanu Street and Wonosari Baron Street..ConclusionsFatal traffic accident in Gunungkidul are influenced by environmental conditions and accident types. Multisectoral coordination was needed to improve intervention to population at risk and stakeholders need to make efforts to modify the environment related to road geometric conditions to minimize the occurrence of accidents

Penggunaan Data Surveilans Gabungan dan Meteorologi untuk Memprediksi Demam Berdarah Dengue di YOGYAKARTA

Use of a combined surveillance and meteorological data for predicting dengue hemorrhagic fever in YogyakartaPurposeThis study aimed to predict the incidence of dengue hemorrhagic fever using meteorological data such as rainfall, rainy days, air temperature, humidity, and dengue hemorrhagic fever surveillance data month by month in Northern Yogyakarta Municipality (Climatic Zone 138) through 2010-2016.MethodThis research was a descriptive study with a predictive design with temporal approach. This research processed secondary data of DHF incidence from Yogyakarta Municipality Health Office and climate variables from Meteorology Climatology and Geophysics Agency (BMKG) Yogyakarta from 2010 to 2016. Data were analyzed with univariate tests and presented in frequency distribution, bivariate analysis was performed using Pearson/ Spearman correlation tests, and multivariate analysis used Poisson regression, negative binomial regression, and generalized poisson regression tests.ResultsDHF incidence in Northern Yogyakarta Municipality (Climatic Zone 138) was associated with meteorological factors in the same month up to 3 months earlier. Predictors of DHF case were dengue incidence of previous month, rainfall 2 months earlier, current temperature, and relative humidity of the previous month.ConclusionThe best prediction model of DHF incidence in Northern Yogyakarta Municipality (Climatic Zone 138) was a combination of surveillance and meteorological data. It is necessary to develop an awareness system of DHF incidence with meteorological database and surveillance in order to control the incidence of DHF in Yogyakarta Municipality

Polusi Udara dalam Ruangan dan Kejadian Kardiometabolik di Indonesia: Analisis Data Indonesian Family Life Survey (IFLS)

Indoor air pollution and cardiometabolic diseases in Indonesia: an Indonesian Family Life Survey (IFLS) analysis PurposeThe purpose of this study was to determine the relationship between indoor air pollution due to the use of firewood with cardiometabolic disease.MethodsThis research was a prospective cohort study conducted by comparing secondary data of the Indonesian Family Life Survey (IFLS) 2 to IFLS 5. Bivariate analysis used logistic regression and simple Cox regression tests. Multivariate analysis used Cox regression tests.ResultsResults showed exposure to air pollution due to the use of firewood accelerated the incidence of diabetes mellitus by 1.32 times, after controlling for the variables of smoking status, education level, body mass index, waist circumference, and domicile areas. The use of firewood was not correlated to the rate of onset of cardiovascular disease such as CHD and stroke.ConclusionThis research recommends LPG as a replacement fuel

Faktor Risiko Kejadian Kusta di Kabupaten Lamongan

Risk factors of leprosy in district of LamonganPurposeThis study aimed to know the risk factors of leprosy incidence in Lamongan district including economic status or family income, BCG vaccination, residential density, floor conditions, source of water, contact history, bathing habit using soap and using footwear. MethodsThe research was a case-control study. The subjects were the people who had clinical or laboratory symptoms, leprosy diagnosed and recorded in the health center register. The samples were 170 people, consisting of 85 cases and 85 controls. The data were analysed using chi-square and logistic regression tests, and the amount of the risk was calculated using odds ratio. ResultsThe risk-factors associated with the incidence of leprosy in Lamongan were the economic status or family income (OR=4.3 and p=0.001), BCG vaccination (OR=4.3 and p=0.050), residential density (OR=3.2 and p=0.001), floor conditions (OR=2.8 and p=0.051), source of water (OR=2.1 and p=0.033), contact history (OR=7.8 and p=0.001), bathing habit using soap (OR=3.1 and p=0.022) and using footwear (OR=3.1 and p=0.004). The dominant risk factor was BCG vaccination (OR = 8.1 and p=0.025). ConclusionThere were correlations between leprosy incidence and the economic status or family income, BCG vaccination, residential density, floor conditions, source of water, contact history, bathing habit using soap and using footwear. The dominant risk factor was BCG vaccination

Spatio-Temporal Analysis of Dengue and Weather Variables in Yogyakarta

BACKGROUND: Dengue Hemorrhagic Fever (DHF) is one of the main public health issues in Indonesia, and is endemic in all provinces. The annual incidence of DHF has been fluctuated in Yogyakarta. This study aimed to examine the pattern of the relationship among weather variables on the incidence of dengue in the city of Yogyakarta for 5 years (2010-2014). SUBJECT AND METHODS: This was an ecological study with spatio-temporal approach. The study population was the incidence of dengue for the period 2010-2014 in Yogyakarta city. The independent variables in this study were rainfall, temperature, relative humidity, and wind velocity. The dependent variable was the incidence of DHF. The data was analyzed using graphic/time-trend and spatial statistical analysis. Rainfall in theory increases mosquito breeding place. In this study, however, rainfall was not included in fitting the regression analysis model. RESULTS: There was a relationship among weather variable with dengue incidence, both in graphs/time-trend and spatial statistic analyses. In the graph/time-trend and spatial analysis, there was a relationship between dengue outbreaks in 2010 and 2013 in rainfall fluctuations and temperature. Two regressions models were used, i.e. Poisson Regression and Negative Binomial Regression. The smallest Akaike‟s Information Criterion (AIC) and Bayesian Information Criterion (BIC) values were used to indicate model fit with respect to the contribution of weather variables on dengue incidence. The incidence of dengue at a lag of one month, temperature of the same month, temperature at the lag of two months, relative humidity of the same month, relative humidity at the lag of three months, and wind velocity at the lag of two months, were predictors for dengue incidence. CONCLUSIONS: The pattern of dengue incidence following climate fluctuation, rainfall lag of two months, temperature lag of three months, humidity in lag of one month, had positive association with increased incidence of dengue. Wind velocity was inversely associated with dengue incidence of the same month. The policy implication of the study is that the Health Office of Yogyakarta city should consider climatological data in surveillance and planning dengue prevention program. Keywords: dengue hemorrhagic fever, vector-borne disease, climate, spatio-temporal analysi