Vulnerability Mapping of Dengue Hemorrhagic Fever (DHF) Cases in West Java Province in 2023
Abstract
Dengue Hemorrhagic Fever (DHF) is one of the public health problems that needs serious attention, because this disease contributes a high mortality rate. Dengue disease related to environmental conditions, climate, population density, and community behavior. West Java is the highest province of dengue cases in Indonesia in 2023 that has 19,328 cases with the number of deaths due to dengue reaching 134 people. This study aims to map the spread of the disease by describing the distribution of dengue cases and describing the level of vulnerability through risk factors from dengue. The method used in this study is descriptive research with a Geographic Information System (GIS) approach. The data used is secondary data from the official website of the Central Statistics Agency (BPS) of West Java Province. Data analysis was carried out using QuantumGIS (QGIS) version 3.40.4 which is open-source software. The scoring results of 27 districts and cities in West Java Province show that the priority areas in handling of dengue cases are Bogor City, Bekasi City, and Bogor Regency which are the areas with the highest level of vulnerability. This study is expected to provide an overview of the distribution of cases and the level of dengue vulnerability based on districts/cities in West Java Province, so that studies can be carried out on dengue disease prevention and control programs, especially in areas with the highest level of vulnerability.
References
Achmadi, U. F. (2014). Manajemen Penyakit Berbasis Wilayah. Rajawali Press.
Anggraini, DR., Huda, S., & Agushybana, F. (2021). Faktor Perilaku Dengan Kejadian Demam Berdarah Dengue (DBD) di Daerah Endemis Kota Semarang. Jurnal Ilmu Keperawatan dan Kebidanan, 12(2), 344-349.
Badan Pusat Statistik. Statistik Indonesia. 2024. https://www.bps.go.id/id/publication/2024/02/28/c1bacde03256343b2bf769b0/statistik-indonesia-2024.html
Bulu, Y., Junias, MS., & Ndun, HJN. (2022). House Sanitation, Larvae Presence, and Dengue Hemorrhagic Fever Incidence in Langga Lero Village Southeast Sumba District. Media Kesehatan Masyarakat, 4(2), 228-234.
Candra, A. (2010). Demam Berdarah Dengue: Epidemiologi, Patogenesis, dan Faktor Risiko Penularan.
Chandra, E. (2019). Pengaruh faktor iklim, kepadatan penduduk dan Angka Bebas Jentik (ABJ) terhadap kejadian Demam Berdarah Dengue (DBD) di Kota Jambi. Jurnal Pembangunan Berkelanjutan, 2(1), 1–15.
Dewi, A., Sukendra, D. (2018). Maya index dan karakteristik lingkungan area rumah dengan kejadian Demam Berdarah Dengue. HIGEIA (Journal of Public Health Research and Development), 2(4), 531-542, doi: 10.15294/higeia. v2i4.24699.
Dinas Kesehatan Provinsi Jawa Barat. (2023). Profil Kesehatan Provinsi Jawa Barat Tahun 2023. Dinas Kesehatan Provinsi Jawa Barat.
Direktorat Jenderal Pencegahan dan Pengendalian Penyakit Kementeria Kesehatan RI. 2023. Laporan Tahunan 2022 Demam Berdarah Dengue. Jakarta: Kementerian Kesehatan RI.
Fullerton, LM., Dickin, SK., & Schuster, WC.J. (2014). Mapping Global Vulnerability to Dengue using the Water Associated Disease Index. United Nations University.
Hendriana, L. (2022). Penanganan Overdispersi pada Kasus Jumlah Kematian Akibat Demam Berdarah Dengue di Provinsi Jawa Timur.
Hidayati, N., Amalia, R., & Windarso, SE. (2023). Analisis Spasial Kejadian Demam Berdarah Dengue (DBD) di Kabupaten Bantul Tahun 2022. Jurnal Kesehatan Masyarakat Indonesia, 18(4), 27–33.
Kementerian Kesehatan Republik Indonesia. (2017). Infodatin: situasi DBD di Indonesia. Jakarta: ISSN 2442-7659.
Kusaira, A., Yulia, R. (2020). Mapping of Dengue Fever Distribution Based on Indonesian National Standard Cartography Rules as a Prevention Indicator of Outbreaks. Jurnal Pendidikan IPA Indonesia, 9(1), 91-96.
Kusuma, AP, Sukendra, DM. (2016). Analysis Spasial Kejadian Demam Berdarah Dengue berdasarkan Kepadatan Penduduk. Unies Journal of Public Health, 5(1), 48-56
Kusumawati, N., Sukendra, D. (2020). Spasiotemporal Demam Berdarah Dengue berdasarkan House Index, Kepadatan Penduduk dan Kepadatan Rumah. HIGEIA, 4(2), 168-77. doi:10.15294/higeia. v4i2.32507.
Mahardika, R. (2021). Relationship Between Health Behavior and The Event of Dengue Heavenly Fever (DHF). Jurnal Education Health, 12(1), 14-26.
Mubarak, R., & Budiantara, IN. (2012). Analisis Regresi Spline Multivariabel untuk Pemodelan Kematian Penderita Demam Berdarah Dengue (DBD) di Jawa Timur. Jurnal Sains dan Seni ITS, 1(1), 224-229.
Putra, R. (2019). Geographic Information System on Cases of Dengue Hemorrhagic Fever in Sidoarjo Regency in 2019. Jurnal Media Gizi Kesmas, 12(1), 367-373.
Saputri, MY. (2019). Pengelompokan Pasien Gejala Demam Berdarah Dengue Menggunakan KMedoids Clustering (Studi Kasus Rumah Sakit Citra Husada Jember) (Doctoral dissertation, Universitas Muhammadiyah Jember).
Sinaga, Pariono, & Hartono. (2019). Determinan Kejadiab Penyakit Demam Berdarah Dengue (DBD) di Wilayah Kerja Puskesmas Medan Johor. Jurnal Kesehatan Global, 2(3), 110.
Valgunadi, A, Chairani, I. (2023). Pemetaan Demam Berdarah Dengue dan Hubungannya dengan Ketinggian Wilayah, Kemiskinan, dan Indeks Pembangunan Manusia Menggunakan Sistem Informasi Geografis di Provinsi Papua. Jurnal Pendidikan Geografi Undiksha, 11(2).
Wowor, R. (2017). Pengaruh Kesehatan Lingkungan terhadap Perubahan Epidemiologi Demam Berdarah di Indonesia. Journal E-CliniC, 5(2).
Wulandari, R. A., Rahmawati, T., Asyary, A., Nugraha, F. (2023). Analysis of Climate and Environmental Risk Factors on Dengue Hemorrhagic Fever Incidence in Bogor District. Journal Kesmas, 18(3), 209-214. https://doi.org/10.21109/kesmas.v18i3.7351.
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