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Kata Kunci : Demam Berdarah Dengue, DBD, Variabilitas Iklim, Perubahan Iklim, Tutupan Lahan
Kata kunci: demam berdarah dengue (DBD); iklim
Dengue hemorrhagic fever (DHF) in South Jakarta Administration City was fluctuating during 2012 - 2016 and in 2016 the incidence rate (IR) was more than tripled from the previous year. This study aims to determine the relationship between climatic factors (rainfall, humidity, temperature) and population density with the incidence rate (IR) of DHF. This study is a time series ecology study and was analyzed by correlation test. Incidence rate (IR) data was obtained from the South Jakarta District Health Office. Monthly climate data was obtained from the Meteorology, Climatology and Geophysics Department of Jakarta. Population density data was obtained from the Central Statistics Department of DKI Jakarta. The results demonstrate that temperature and population density have no significant correlation with dengue incidence rate (p > 0,05). The incidence rate (IR) had a significant correlation with rainfall (r = 0.384; p = 0.002), humidity (r = 0.496; p = 0,000).
Key words: climate; dengue
Penelitian ini dilakukan di DKI Jakarta bulan April 2012 dengan menggunakan desain ekologi. Data yang digunakan adalah data sekunder dari hasil rekapitulasi jumlah penderita diare perbulan perwilayah selama tahun 2007 ? 2011 di DKI Jakarta. Data ditampilkan secara visualisasi trend berdasarkan tempat dan waktu serta dianalisis secara statistik untuk melihat hubungan antar variabel dependen dan independen. Kasus diare perbulan tertinggi di DKI Jakarta bulan Februari 2007 sebesar 33.511 penderita, kasus diare pertahun perwilayah tertinggi di wilayah IV (Wilayah Kotamadya Jakarta Selatan dan Jakarta Timur) 2010 sebesar 87.355 penderita. Rata-rata suhu udara perbulan tertinggi bulan April 2010 sebesar 29.20C, curah hujan tertinggi bulan Februari 2007 sebesar 673.5 mm, kelembaban tertinggi bulan Februari 2008 sebesar 86%, kecepatan angin bulan Maret sebesar 6.5 knot. Ada hubungan signifikan suhu udara dengan kasus diare (p value 0.0005) dan hubungan sedang (r = -0.319), berpola negatif, ada hubungan signifikan curah hujan dengan kasus diare (p value 0.0005) dan hubungan sedang (r = 0.273) berpola positif, Ada hubungan signifikan kelembaban dengan kasus diare (p value 0.0005) dan hubungan sedang (r = 0.340) berpola positif, Ada hubungan signifikan kecepatan angin dengan kasus diare (p value 0.0005) dan hubungan kuat (r = -0.569) berpola negatif. Faktor iklim yang paling dominan yaitu curah hujan. Saran penelitian yaitu menyediakan sumber air bersih untuk dikonsumsi baik pada saat musim hujan ataupun musim kemarau, Dinas Kebersihan DKI Jakarta harus mengelola sampah dengan baik, pembuatan taman kota atau penanaman kembali pohon-pohon di DKI Jakarta, perlu adanya kerjasama lintas program antara Dinas Kesehatan Provinsi DKI Jakarta, BMKG, PAM, ormas, tokoh masyarakat, civitas akademika dalam memanfaatkan data variasi iklim untuk mencegah terjadinya ledakan kasus (KLB) diare di masa yang akan datang, menjaga Perilaku Hidup Bersih Sehat (PHBS), makan yang baik dan bersih, istirahat yang cukup serta senantiasa melakukan Cuci Tangan Pakai Sabun (CTPS), perlu dilakukan intervensi dalam aspek SPAL (Saluran Pembuangan Air Limbah) ataupun pembuangan sampah yang teratur, jangan membuang sampah sembarangan.
This study was conducted in DKI Jakarta on April 2012 by using ecology desain. Data was used secondary data from result of summary of diarrhoea patient of sub-district per-month during year 2007 - 2011 in DKI Jakarta. Data presented visualizinged trend pursuant to time and place and also analysed statistically to see correlated between variable dependent and independent. Highest Diarrhoea case per-month in DKI Jakarta on Februari 2007 is 33.511 patient, highest area per-year diarrhoea case in region IV ( Regional south of Jakarta and east of Jakarta ) 2010 is 87.355 patient. Highest mean Temperature on April 2010 is 29.20C, highest mean rainfall on Februari 2007 is 673.5 mm, highest mean humidity on Februari 2008 is 86%, wind?s on March month is to 6.5 knot. There is significant correlations of temperature with diarrhoea case (p value 0.0005) and medium correlations (r = - 0.319), have negative pattern, there is significant correlations rainfall with diarrhoea case (p value 0.0005) and medium correlations (r = 0.273) have positive pattern, There is significant correlations humidity with diarrhoea case (p value 0.0005) and medium correlations (r = 0.340) have positive pattern, There is significant correlations wind?s speed with diarrhoea case (p value 0.0005) and strong correlations (r = - 0.569) have negative pattern. the most dominant climate factor that is rainfall. Research suggestion that is providing the source of clean and hygiene water to be consumed at the rains and or dry season, sanitary department of state DKI Jakarta have to manage garbage better, making town garden or cultivation tree in DKI Jakarta, need the existence of cooperation program among Public Health Service Provinsi DKI Jakarta, BMKG, PAM, NGO, elite figure, civitas academica in exploiting climate variation data to prevent of diarrhoea case explosion (KLB) in the future, taking care of Healthy and Clean life Behavior (PHBS), eat non contaminated and good food, good and clean hand wash with Soap (CTPS), require to intervence in SPAL aspect (segregate system) and regular garbage disposal, good garbage management program.
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
Dengue haemorrhagic fever (DHF) is a disease that frequently affects Indonesia and caused by the dengue virus from infected Aedes aegypti mosquitoes. Climatic factors are known to affect DHF incidence. In 2014-2020, Bogor Regency became the region with the highest DHF deaths in West Java. This study aims to analyze several climatic factors with DHF incidence in Bogor Regency in 2017-2021 using an ecological study design. Using Spearman?s rank correlation coefficient, the results indicate that humidity (r=0,351; p=0,006) and rainfall (r=0,258; p=0,046) have a moderate effect on DHF incidence, while temperature has no effect on DHF incidence (p>0,05).
Latar Belakang : Kejadian Demam Berdarah Dengue (DBD) hingga saat ini masih menjadi salah satu masalah kesehatan masyarakat di Indonesia, terutama pada daerah perkotaan seperti Kota Administrasi Jakarta Barat. Variabel iklim berupa suhu udara, tingkat kelembaban, serta curah hujan diketahui berhubungan dengan perubahan jumlah kasus DBD karena faktor-faktor tersebut memengaruhi pertumbuhan dan aktivitas nyamuk Aedes spp. sebagai vektor penular penyakit. Kajian ini dilakukan untuk mengetahui hubungan antara faktor iklim yang mencakup suhu udara, kelembaban udara, serta curah hujan terhadap kejadian Demam Berdarah Dengue (DBD) di Kota Administrasi Jakarta Barat selama periode 2016–2025. Metode : Dalam kajian ini digunakan metode kuantitatif dengan rancangan ekologi time series untuk menganalisis data penelitian. Data yang dipakai merupakan data sekunder berupa jumlah kejadian DBD yang diperoleh dari Dinas Kesehatan Provinsi DKI Jakarta, sedangkan data terkait iklim seperti suhu udara, kelembaban udara, serta curah hujan bersumber dari NASA POWER. Teknik analisis yang diterapkan meliputi analisis univariat serta bivariat, dengan pengujian korelasi menggunakan Pearson atau Spearman berdasarkan hasil uji normalitas masing-masing variabel. Hasil : Temuan kajian ini memperlihatkan jika keterkaitan antara faktor iklim berupa suhu udara serta kelembaban udara terhadap kejadian DBD lebih dominan pada Lag 1 dibandingkan Lag 2. Hubungan negatif yang signifikan ditemukan pada tahun 2021 serta 2023. Di sisi lain, faktor iklim curah hujan memperlihatkan hubungan yang lebih kuat pada Lag 2 daripada Lag 1.
Background: Dengue Hemorrhagic Fever (DHF) remains one of the major public health problems in Indonesia, particularly in urban areas such as the Administrative City of West Jakarta. Climate variables, including air temperature, humidity levels, and rainfall, are known to be associated with changes in the number of DHF cases because these factors influence the growth and activity of Aedes spp. mosquitoes as disease vectors. This study was conducted to determine the relationship between climate factors, namely air temperature, air humidity, and rainfall, and the incidence of Dengue Hemorrhagic Fever (DHF) in the Administrative City of West Jakarta during the 2016–2025 period. Methods: This study employed a quantitative method with a time-series ecological design to analyze the research data. The data used were secondary data consisting of the number of DHF cases obtained from the DKI Jakarta Provincial Health Office, while climate-related data such as air temperature, air humidity, and rainfall were sourced from NASA POWER. The analytical techniques applied included univariate and bivariate analyses, with correlation testing using Pearson or Spearman methods based on the normality test results of each variable.Results: The findings of this study indicate that the relationship between climate factors, specifically air temperature and air humidity, and DHF incidence was stronger at Lag 1 compared to Lag 2. Significant negative relationships were identified in 2021 and 2023. Meanwhile, the climate factor of rainfall demonstrated a stronger relationship at Lag 2 than at Lag 1.