DOI: https://doi.org/10.14710/presipitasi.v20i2.345-355

The Distribution of Dengue Fever Case Based on Environmental Factors using Spatial Analysis

*Meirisa Ayu Hartini  -  Universitas Negeri Semarang, Indonesia
Eram Tunggul Pawenang  -  Universitas Negeri Semarang, Indonesia

Citation Format:
Abstract

Dengue hemorrhagic fever (DHF) cases in the working area of Margorejo Health Center increased significantly from seven (2021) to 66 (September 2022). One of the efforts to anticipate the disease is acknowledging the distribution pattern of DHF using GIS. This study proposes to reveal the spatial pattern of case distribution, mapping of the vulnerable area, and overlay of LFP (larvae-free rate) related to DHF in the determined working area of Margorejo Health Center. This study was descriptive. The population was patients of DHF. The selected samples were 66. Data were analyzed utilizing univariate and spatial analyses, based on the Average Nearest Neighbor statistical analyses, p-value = 0.001, Z-score = -7.078, and NNI = 0.54<1. These results indicate a clustered spatial pattern, primarily in densely populated areas. The distribution is seen in the buffer area of 250 meters, 750 meters, and 800 meters. The dengue case intensity, population density, and buffer area determine vulnerable areas. Based on the elaborated maps, further, follow-ups related to countermeasures and prevention of DHF are expected to be carried out in the determined area.

Fulltext View|Download
Keywords: Dengue fever; environmental factors, GIS, spatial analysis

Article Metrics:

Article Info
Section: Regional Case Study
Language : EN
Recent articles
Characterization of Anammox Bacteria from Marine Water and Sediment Samples Sustainable Waste Management Breakthrough: Transforming Plastic Waste into Eco-Friendly Briquette Charcoal Physical and Chemical Treatability Assessment for Food Industry Wastewater in Wastewater Treatment Plant Design Identification of the Influence of Socio, Demographic, and Economic Factors on Domestic Water Consumption Patterns (A Case Study: Bandar Lampung City, Indonesia) Determination of Strategy Planning of Domestic Wastewater Management System in a Commercial Area of Tasikmalaya City Evaluation of the Success of the Watershed Rehabilitation Project in Bombana Regency Based on Cook Method’s Runoff Coefficient More recent articles
Most cited articles
KUALITAS UDARA DALAM RUANG DI DAERAH PARKIR BASEMENT DAN PARKIR UPPERGROUND (STUDI KASUS DI SUPERMARKET SEMARANG) UNJUK KERJA MODIFIKASI SBR AEROB TERHADAP PENYISIHAN COD STUDI PENGARUH PENCAMPURAN SAMPAH DOMESTIK, SEKAM PADI, DAN AMPAS TEBU DENGAN METODE MAC DONALD TERHADAP KEMATANGAN KOMPOS KONSERVASI ENERGI BERBASIS RENEWABLE ENERGY TECHNOLOGY DENGAN PEMANFAATAN TEKNOLOGI MICROBIAL Simple Technology to Convert Coconut Shell Waste into Biochar; A Green Leap Towards Achieving Environmental Sustainability More cited articles
  1. Alfianti, U.N., Siwiendrayanti, A. 2021. Analisis Spasial dan Temporal Kejadian DBD di Kota Semarang Tahun 2016-2019. Jurnal Kesehatan Lingkungan 18(1), 39–48
  2. Ayuningtyas, A. 2023. Analisis Hubungan Kepadatan Penduduk dengan Kejadian Demam Berdarah Dengue (DBD) di Provinsi Jawa Barat. Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal 13(2), 419-426
  3. BPS Pati. 2022. Kabupaten Pati dalam Angka. Pati: BPS Pati
  4. 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 1(1), 1–15
  5. Faridah, L., Mindra, I.G.N., Putra, R.E. 2021. Spatial and Temporal Analysis of Hospitalized Dengue Patients in Bandung: Demographics and Risk. Tropical Medicine and Health 49(44), 1-9
  6. Gangwar, H.S., Ray, P.K.C. 2021. Geographic Information System-Based Analysis of Covid-19 Cases in India during Pre-Lockdown, Lockdown, and Unlock Phases. International Journal of Infectious Diseases 105, 424–435
  7. Handini, R., Haidah, N. 2021. Pemetaan Kasus DBD Berdasarkan Kondisi Lingkungan Di Wilayah Kerja Puskesmas Prambon Nganjuk. Jurnal Sulolipu : Media Komunikasi Sivitas Akademika dan Masyarakat 21(2), 349–356
  8. Harapan, H., Ryan, M., Yohan, B. 2021. Covid-19 and Dengue: Double Punches for Dengue-Endemic Countries in Asia. Reviews in Medical Virology 31(2161), 1–9
  9. Idris, E. A., Zulaikha, F. 2021. Hubungan Jenis Kelamin Terhadap Kejadian DHF pada Anak di TK RA Al Kamal 4 di Wilayah Bukuan Kota Samarinda. Borneo Student Research 2(3), 1592-1598
  10. Irma, Harleli, Sabilu, Y. 2021. Hubungan Iklim dengan Kejadian Demam Berdarah Dengue (DBD) The Relationship between Climate with Dengue Hemorrhagic Fever (DHF). Jurnal Kesehatan 12(2), 266–272
  11. Jain, R., Sontisirikit, S., Lamsirithaworn, S., Prendinger, H. Prediction of Dengue Outbreaks Based On Disease Surveillance, Meteorological And Socio-Economic Data. BMC Infection Disease 19(272), 1-16
  12. Kemenkes RI. 2022. Profil Kesehatan Indonesia 2021. Jakarta: Kemenkes RI
  13. Kusumawati, N., Sukendra, D.M. 2020. Spasiotemporal Demam Berdarah Dengue berdasarkan House Index, Kepadatan Penduduk dan Kepadatan Rumah. Higeia Journal of Public Health Research And Development 4(2), 168–177
  14. Mala, S., Jat, M.K. 2019. Geographic Information System based Spatio-Temporal Dengue Fever Cluster Analysis and Mapping. Egyptian Journal of Remote Sensing and Space Science 22(3), 297–304
  15. Paomey, V.C., Nelwan, J.E., Kaunang, W.P.J. 2019. Sebaran Penyakit Demam Berdarah Dengue Berdasarkan Ketinggian dan Kepadatan Penduduk di Kecamatan Malalayang Kota Manado Tahun 2019. Jurnal KESMAS 8(6), 521-527
  16. Paruntu, C., Ratag, B.T., Kaunang, W.P. 2018 . Gambaran Spasial Kondisi Lingkungan Penyakit Demam Berdarah Dengue Di Kota Bitung Tahun 2018. Jurnal KESMAS 7(5), 2–7
  17. Rahmawati, A. P. 2019. Surveilan Vektor dan Kasus Demam Berdarah Dengue. [Skripsi]. Universitas Muhammmadiyah Semarang. Semarang
  18. Sadukh. 2021. Analisis Spasial Kejadian Demam Berdarah Dengue (DBD) Berdasarkan Kepadatan Penduduk dan Luas Pemukiman Di Wilker PKM Sikumana, Kota Kupang Tahun 2019. Ochonis: The Journal of Environmental Health Research 4(2), 59-63
  19. Sahdev, S., Kumar, M. 2020. Identification and Mapping of Dengue Epidemics using GIS Based Multi-Criteria Decision Making. The Case of Delhi, India
  20. Setyoningrum, C.A., Mulyowati, T., Binugraheni, R. 2020. Hubungan PSN dengan ABJ Aedes aegypti sebagai Vektor Penyakit DBD di Desa Hadiluwih, Sumberlawang, Sragen. Proceeding 1 st SETIABUDI – CIHAMS 2020, 54–62
  21. Sukesi, T. W., Mulasari, S. A., Sulistyawati. 2022. Kepedulian Masyarakat terhadap Pengendalian Demam Berdarah Dengue (DBD) Saat Pandemi Covid 19 di Indonesia. Jurnal Vektor Penyakit 16(1), 69-80
  22. Sulistyo, A. 2019. Kombinasi Teknologi Aplikasi GPS Mobile dan Pemetaan SIG dalam Sistem Pemantauan Demam Berdarah (DBD). Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika 5(1), 6–14
  23. Wang, W.H. Urbina, A.N., Chang, M.R. 2020. Dengue Hemorrhagic Fever – A Systemic Literature Reviewof Current Perspectives on Pathogenesis, Prevention and Control. Journal of Microbiology, Immunology and Infection 53(6), 963–978
  24. Yasir, Zulfikar, Ulfa, I. 2021. Pemetaan Kasus Demam Berdarah Dengue Dan Kepadatan Nyamuk Berdasarkan Sistem Informasi Geografis (Sig) Di Wilayah Kerja Puskesmas Lhoknga Kabupaten Aceh Besar. Sel Jurnal Penelitian Kesehatan 8(1), 35–46
  25. Yue, Y., Sun, J., Liu, X. 2018. Spatial Analysisof Dengue Fever and Exploration of its Environmental and Socio-Economic Risk Factors using Ordinary Least Squares: A Case Study in Five Districts of Guangzhou City, China, 2014. International Journal of Infectious Diseases 75, 39–48
  26. Yuningsih, R. 2018. Kebijakan Penanggulangan Kejadian Luar Biasa Penyakit Demam Berdarah Dengue di Kabupaten Tangerang. Aspirasi: Jurnal Masalah-Masalah Sosial 9(2), 261–273
  27. Yusrina, F.N. Sari, M.I., Chomsa, G. 2018. Analisis Pola Permukiman Menggunakan Pendekatan Nearest Neighbour Untuk Kajian Manfaat Objek Wisata Di Kecamatan Prambanan Kabupaten Klaten. Jurnal Geografi, Edukasi dan Lingkungan (JGEL) 2(2), 111–120
  28. Zambrano, L.I., Rodriguez, E., Espinoza-Salvado, I.A. 2019. Spatial Distribution of Dengue in Honduras during 2016–2019 using A Geographic Information Systems (GIS)–Dengue Epidemic Implications for Public Health and Travel Medicine. Travel Medicine and Infectious Disease 32, 1-10

Last update:

No citation recorded.

Last update: 2024-11-20 06:15:12

No citation recorded.