Lutfan Lazuardi
Departemen Kebijakan dan Manajemen Kesehatan Fakultas Kedokteran Universitas Gadjah Mada

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Pola spasial-temporal kejadian demam berdarah dengue di kota Palopo Sitti Ashlihah; Citra Indriani; Lutfan Lazuardi
Berita Kedokteran Masyarakat (BKM) Vol 32, No 2 (2016)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1185.481 KB) | DOI: 10.22146/bkm.6861

Abstract

Spatial-temporal pattern of dengue hemorraghic fever in the city of PalopoPurposeThis study was conducted to know comparison of spatial-temporal pattern and to analyze dengue hemorraghic fever supporting factors in the city of Palopo. MethodsThis study used descriptive analytic survey with ecological approach and case control design. Dependent variable was dengue hemorraghic fever event, independent variables were population density, free number flick, rainfall, vegetation density, building density, housing density, wire netted ventilation, education, work, 3M habit, hanging clothes habit, and using anti mosquito. Total sampel were 391 respondent. ResultsThere were correlation between population density, wire netted ventilation, mosquito larva existence, 3M habit, hanging clothes, and using anti mosquito with dengue hemorraghic fever occurrence in the city of Palopo and cases distribution pattern grouped at densely populated district, with medium-high rainfall, medium vegetation density, and to all building density group. ConclusionCases distribution pattern affected by population density, medium-high rainfall, medium vegetation density, and to all building density group.
Pola sebaran tingkat infeksi bersama serotipe virus dengue di wilayah kajian RT-PCR Balai Besar Teknik Kesehatan Lingkungan dan Pengendalian Penyakit Yogyakarta: analisis data 2013-2015 Fitria Wakano; Lutfan Lazuardi; Eggi Arguni; Hari Kusnanto
Berita Kedokteran Masyarakat (BKM) Vol 32, No 11 (2016)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1364.278 KB) | DOI: 10.22146/bkm.11778

Abstract

Pattern of concurrent infection of dengue virus serotype in the regional study areas of Yogyakarta Center for Environmental Health and Diseases Control: an analysis of  2013-2015 dataPurposeThis study aimed to determine the pattern in the spread of infection rates with dengue viral serotypes.MethodsThe study was a descriptive research with spatial mapping methods. Data of 132 respondents were collected based on RT-PCR in 2013-2015. The complete address of the village-level patient from the dengue arbovirosis surveillance data of the Center for Environmental Health and Diseases Control Yogyakarta were used to determine the coordinate points with utilization of RBI and Google Earth maps in searching addresses for distribution of case coordinate points. ResultsThere were similarities with the most complex quadruple joint infection rates of DEN in Semarang and Yogjakarta, while Kebumen obtained double DEN level. Three patterns of infection with DEN-1 and DEN-3 have p-value < 0.05 in Semarang in 2014, Sragen in 2015 and Semarang 2013 and 2 patterns in Gunung Kidul 2014 and Kulon Progo 2015. The patterns of infection with DEN-1, DEN-2 and DEN-3 in 2015 were covering Sragen and Semarang in 2013.ConclusionThe most complex areas of infection were Semarang and Yogyakarta. The pattern of most likely cluster infection with DEN-1 and DEN-3 and DEN-1, DEN-2 and DEN-3 allegedly was a result of two infected patients, different serotypes of different mosquitoes or infection of more than one serotype of Ae. aegypti or Ae. albopictus as the main vector.
Leprosy's risk factors and distribution pattern in Yogyakarta Efrizal Efrizal; Lutfan Lazuardi; Hardyanto Soebono
Berita Kedokteran Masyarakat (BKM) Vol 32, No 10 (2016)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.367 KB) | DOI: 10.22146/bkm.12345

Abstract

Risk factors and distribution of leprosy in YogyakartaPurposeThe purpose of this paper was to identify risk factors and distribution pattern of leprosy in Yogyakarta. MethodsA case-control study was conducted involving 112 samples which consisted of 56 cases and 56 controls. ResultsThe study found three risk factors of leprosy: BCG vaccination, humidity and lighting. BCG vaccination was the most dominant risk factor of leprosy. The study also showed that the distribution pattern of leprosy in Yogyakarta was clustered. BCG vaccination was the most dominant risk factor for leprosy occurrence. Distribution of leprosy events were wide-spread and dispersed in the city of Yogyakarta, Sleman, Bantul and Kulon Progo, and only in Gunung Kidul Regency were clustered, and overall in Yogyakarta Special Region was clustered. The existence of cases of leprosy was largely distant with primary health care, away from roads and rivers as well as more dominant in settlements in mountainous areas.ConclusionActive case finding of leprosy by health workers, especially in clustered areas to decide the transmission of leprosy either from humans or the environment, with training of leprosy and counseling officers to remove leprosy-related stigma needs to be done. These efforts need to be coordinated between the Health Office and community health centers so that the number of cases in each region can be known.
Faktor risiko kejadian kusta Aprizal Aprizal; Lutfan Lazuardi; Hardyanto Soebono
Berita Kedokteran Masyarakat (BKM) Vol 33, No 9 (2017)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (435.5 KB) | DOI: 10.22146/bkm.25569

Abstract

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.
Model prediksi kejadian demam berdarah dengue di kota yogyakarta bagian utara (zona musim 138) tahun 2010-2016 Dedik Sulistiawan; Lutfan Lazuardi
Berita Kedokteran Masyarakat (BKM) Vol 34, No 1 (2018)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (645.709 KB) | DOI: 10.22146/bkm.26250

Abstract

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.
Fatalitas dan analisis apasial lokasi rawan kcelakaan lalu lintas di kabupaten Gunungkidul Aning Isfandyari; Lutfan Lazuardi
Berita Kedokteran Masyarakat (BKM) Vol 34, No 2 (2018)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1122.984 KB) | DOI: 10.22146/bkm.26311

Abstract

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.