FAKTOR-FAKTOR RISIKO KEJADIAN DEMAM BERDARAH DENGUE (DBD) DAN PEMETAAN RESISTENSI NYAMUK AEDES AEGYPTI DI KECAMATAN WONOGIRI KABUPATEN WONOGIRI TAHUN 2010

HF Background: Dengue hemorrhagic fever is a problem in tropical and sub tropical countries. In Wonogiri District, the IR of DHF cases in 2009 was 3.64 per 10,000 population with CFR of 0.52%, distributing in 13 sub districts and 48 villages having DHF endemics. Wonogiri sub district is a D endemic with IR of the cases in 2009 was 14.86 per 10,000 population with CFR of 1.43%. The factors of DHF incidences, the resistance of Aedes aegypti on insecticide used for DHF controlling and case dispersion pattern which is not yet known. ces Objective: To obtain a description on dispersion pattern of DHF patients and to find out risk factors that were related to DHF inciden in Wonogiri sub district in 2010 that included educational level, occupation status, Maya index, and mosquito resistance. ir - Method: This was an observational-analytical study with pa matched case-control study design. Quantitative data analyses used univariable analysis with frequency distribution, bivariable analysis with chi-square (� 2 ) test according to McNemar, multivariable analysis with conditional logistic regression, insecticide resistance with standard deviation of Absorbance Value (AV) and cluster with nearest neighbour analysis. T here was not a signi Result: ficant relationship between educational level and DHF incidences (p value > 0.05). Unemployed (p value = 0,0017, OR = 4,

ANALISIS SPASIAL FAKTOR-FAKTOR RISIKO KEJADIAN DEMAM BERDARAH DENGUE (DBD) DI KOTA SINGKAWANG KALIMANTAN BARAT TAHUN 2010

Background: Dengue hemorrhagic fever (DHF) is still a public health problem in West Kalimantan especially at Singkawang municipality. Singkawang is an endemic of DHF with an increasingly of incidence rate (IR) and case fatality rate (CFR) every year. In 2010, IR of DHF is 60,21/100.000 people, CFR=2,73%. The distribution of cases is in all five subdistricts. Objective : To identify and analysis risk factors related to DHF at Singkawang municipality with spatially analysis. Method: This was an observational study with case control design involving 220 respondents (total sampling). The total number of cases was 110 people. Controls were neighbors of cases who were healthy. Interview has been conducted to the respondents as well as geocoordinate capture of their house by using GPS. The study used individual and spatial analysis. Individual analysis used bivariate and multivariate analysis with chi-square and logistic regression. Odds ratio (OR) was used to determine risk factors. Spatial analysis used GeoDa, SaTScan and ArcGIS. Results : The multivariate analysis showed that not using mosquito repellent devices (p value=0,008 OR=2,314 95%CI=1,248-4,292) and not eradicating mosquito nests (p value=0,046 OR=1,924 95%CI=1,012-3,659) were the risk factors for infection. Spatial analysis showed that density (coefficient=-0,4182 , standard error=0,1595, t�statistic=2,6219, probability=0,0156) was the risk factor. Most likely cluster was found in 275167 m E, 99124 m N, radius 872,03 m with total number of cases was 27 people (p=0,011 (<0,05) OR=1,91), secondary cluster in 278570 m E,100400 m N, radius 1015,47 m with total number of cases 13 people (p=0,015 (<0,05) OR=2,13). Conclusions : Not using mosquito repellent devices, not eradicating mosquito nests and density were the risk factors related to DHF at Singkawang municipality

ANALISIS SPASIAL KEJADIAN MALARIA DI KECAMATAN SOSOH BUAY RAYAP KABUPATEN OGAN KOMERING ULU

Background: Malaria disease in Ogan Komering Ulu (OKU) Regency, until today still be public health problem. Sosoh Buay Rayap subdistrict from 2007-2008, form of malaria high risk area (high incidence area). In 2007, API was 1.35%, in 2008, API was 1.07%, in 2009, API was 5.5%. Objective: Mapping a spatial distribution of malaria incident and identified the environmental factors, mosquito net utilization, iron-gauze installation, family income, and distance of public health service facilities to the malaria incident location in Sosoh Buay Rayap Subdistrict, OKU Regency. Methods: This was observational study by case control study design using geographic information system (GIS). The population of study were all population in Sosoh Buay Rayap Subdistrict, OKU Regency, which suffer from malaria. Sample was calculated using formula to determine sample size to testing hypothesis to the odds-ratio, and it was obtained the sample were 43 peoples for cases and 86 peoples for control. Data was analyzed using Chi Square test, GeoDa and clustering analysis was performed by SatScan. Results: In this study, most of cases group member was belong to age group over than 20 years old (69.8%), male (55.8%), graduate of elementary school (60.5%) and work as farmer (48.8%). Chi square analysis showed that the risk factors of malaria incidence wer