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Kata Kunci: Demam Berdarah Dengue, Umur, Pengetahuan, Keberadaan Jentik, Breeding Place
Dengue Hemorrhagic Fever (DHF) is an environtment-centered plagueand also a society health problem. From many cases, one happened in PuskesmasTegal Gundil Working Unit Area with the IR 13,5 per 10.000 people in 2013.This reseach is aimed to discover the relationship between sociodemography andthe environment condition of DHF case in that area in 2014. The research designused case control with 64 sample of participants. The population of the research isthe community member who live and stay in Kelurahan Tegal Gundil andBantarjati. The primary data is gained by conducting direct interview about DHFand observation to the respondence's environment condition. The result frombivariat analysis shows correlation between age, as a factor of sociodemography,with DHF case, by OR 3,40. Environment condition which links to the DHF caseis the existence of mosquito larva, with OR 4,59 and OR 16,24 of breeding place.The result from multivarite analysis shows the relationship between, knowledge,the existence of mosquito larva, and breeding place with OR 2,80. Breeding placevariable is the most dominantly influential to the DHF case.
Keywords: Dengue Hemorrhagic Fever, Age, Knowledge, Mosquito larva,Breeding place
Kata kunci : Demam Berdarah Dengue, faktor iklim, kepadatan penduduk, KotaBogor
The number of cases of Dengue Hemorrhagic Fever (DHF) have never decreasedin some tropical and subtropical regions and even tends to increase and causemany death in children. In Indonesia, DHF has become a public health problemduring the last 45 years. Some of the risk factors to the occurrence of infectionand the development of DHF include population density and climatic factors. Thisstudy aim to determine correlation between population density and climaticfactors in the incidence of DHF in Bogor City in 2010-2013. This study is aquantitative study with ecology design.Measurement of climatic factors includes temperature, humidity and rainfall. Thedata collected included secondary data population density, climatic factors and thenumber of DHF cases. The results of this study indicate that there is a significantcorrelation between humidity and DHF incidence in Bogor City in 2010-2013.Meanwhile, for population density, temperature and rainfall there is no significantcorrelation with the incidence of DHF.
Keywords: Dengue Hemorrhagic Fever climatic factors, population density,Bogor City
Hubungan antara kualitas udara dengan masalah kesehatan pernapasan dan kardiovaskular su- dah banyak diteliti, tetapi studi mengenai kualitas udara dengan demam berdarah dengue masih terbatas. Demam Berdarah Dengue (DBD) merupakan penyakit yang masih menjadi masalah kesehatan masyarakat di dunia, baik di wilayah tropis maupun subtropis. Studi ekologi dila- kukan di DKI Jakarta, salah satu wilayah yang memiliki jumlah kasus DBD tertinggi di Asia Tenggara, untuk meneliti hubungan antara Incidence Rate (IR) DBD dengan polusi udara, kece- patan angin, luas ruang terbuka hijau, serta kepadatan penduduk selama 2019–2023. Dilakukan pendekatan uji korelasi, uji Kruskal wallis, uji regresi linear berganda, dan analisis spasial. Ha- silnya menunjukkan bahwa semakin buruk kualitas udara, maka IR DBD cenderung menurun, dan sebaliknya pada uji korelasi, uji Kruskall-Wallis, dan regresi. Kecepatan angin, kepadat- an penduduk, dan luas ruang terbuka hijau memiliki hubungan negatif signifikan terhadap IR DBD di hampir seluruh wilayah di DKI Jakarta. Pada analisis spasial, IR DBD cenderung lebih tinggi di wilayah dengan polusi udara tinggi, luas ruang terbuka hijau rendah, dan kepadatan penduduk tinggi, sedangkan kecepatan angin menunjukkan variabilitas dan tidak tampak pola yang konsisten. Penelitian ini dapat dijadikan masukan bagi Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) untuk meningkatkan akurasi prediksi dini IR DBD di DKI Jakarta.
The associations between respiratory and cardiovascular health outcomes with air quality have been well examined. Less conclusive are the studies assessing the relationship between air quality and Dengue Hemorrhagic Fever (DHF), a mosquito-borne illness which remains a public health problem worldwide. We examined this relationship in DKI Jakarta, Indonesia, where the burden of DHF is among the highest across South-East Asian region. We analyzed the correlation between dengue incidence rate and variations in air pollution, wind speed, vegetation greenness, and population density in DKI Jakarta from 2019 to 2023 using the ecological study method. The results indicated that poorer air quality was generally associated with lower dengue incidence rate, as shown in the correlation, Kruskal-Wallis test, and regression tests. Wind speed, population density, and green open space area showed significant negative relationships with dengue incidence rate across most areas in DKI Jakarta. In the spatial analysis, dengue incidence rate tended to be higher in areas with high air pollution, low green vegetation, and high population density, while wind speed showed variability and did not indicate a consistent pattern. Variations in the concentrations of these air pollutants may inform short-term DHF forecasts by the Agency for Meteorology, Climatology, and Geophysics (BMKG)
Dengue Hemorrhagic Fever (DHF) in Indonesia shows a fluctuating pattern and tends to increase every three years. Depok City ranked second in terms of the highest number of DHF cases in West Java. Environmental factors such as climate, vector density, and population density were suspected to play a role in the spread of this disease. This study aimed to spatially identify the association between environmental factors (temperature, rainfall, humidity, House Index [HI], Larvae Free Index [ABJ], and population density) and DHF incidence in each sub-district of Depok City from 2022 to 2024. This study employed an ecological design with a spatial approach. Secondary data were obtained from the Depok City Health Office, the Depok City Statistics Agency, and NASA. Spatial analysis was conducted using QGIS and GeoDa to calculate spatial autocorrelation (Moran's I and LISA). The mapping results showed a significant increase in DHF cases in 2024. LISA analysis indicated spatial clustering among climate factors, vector indices, population density, and DHF incidence in several sub-districts. It was concluded that there were specific areas that should be prioritized for disease control interventions.
