skip to main content

Spatial Analysis of Environmental Factors in the Dengue Hemorrhagic Fever Incident at Soe City District

Faculty of Public Health, Universitas Nusa Cendana, Kupang, Nusa Tenggara Timur, Indonesia

Received: 28 Sep 2023; Published: 29 Apr 2024.
Open Access Copyright (c) 2024 The authors. Published by Faculty of Public Health, Universitas Diponegoro
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
Abstract

Introduction: In 2022, there was a large increase in cases resulting in extraordinary events cases in the TTS district with the number 226 cases. Half of the percentage of outbreak cases that occurred in Soe City with a number of cases is 134 cases. Spatial analysis can be used to see patterns of disease distribution in certain areas.

Methods: This research is a type of descriptive research with a case study approach. This descriptive research was carried out using a survey method where there was no intervention on variables but simply observing natural phenomena or looking for relationships between these phenomena and other variables.

Results:  The research of dengue case data is divided into univariate analysis and spatial analysis, for example, classification, buffering and Moran index. Environmental factors in the form of the existence and condition of water reservoirs with dengue fever incidents can be seen in data related to the number of water reservoirs used by the community which are left open and the number is >3, making it easier for mosquitoes to breed. In the Spatial Classification Analysis, Nonohonis Village has the highest level of risk, but Autocorrelation Analysis states that the Oekefan area has larger cluster points than Nonohonis Village. Furthermore, environmental factors include the existence and condition of dug wells. at a depth of ≤15m with open conditions makes it easier for mosquitoes to breed. Apart from that, based on the buffer data above, it can be seen that at a radius of <100m it is 3 times larger than a radius of 100 to 300m and 2.7 times larger than a radius of 300m to 500m. Environmental factors include the existence and condition of waste water drainage channels (SPAL) with dengue fever incidents. Based on the buffer data above, it can be seen that at a radius of <100m it is 0.6 times greater than the radius from 100 to 300m and 0.8 times greater than the radius from 300m to 500m.

Conclusion: It is necessary to control mosquito breeding in water reservoirs and dug wells through education regarding malaria risk factors in Soe City.

Fulltext View|Download
Keywords: dengue hemorrhagic fever (DHF), spatial analysis, environmental factors

Article Metrics:

  1. Pertiwi KD, Lestari IP. Spasial Autokorelasi Sebaran Demam Berdarah Dengue Di Kecamatan Ambarawa. Pro Health Jurnal Ilmiah Kesehatan. 2020;2(1):29–34
  2. Andriawan FR, Kardin L, Rustam Hn M. Hubungan Antara Status Gizi dengan Derajat Infeksi Dengue Pada Pasien Demam Berdarah Dengue. Bau-bau; 2021 Jan
  3. Rosita I, Marlina H, Yulianto B. Hubungan Karakteristik Sumur Gali Dengan Keberadaan Jentik Nyamuk Aedes Aegypti Di Desa Salo Timur Kecamatan Salo Tahun 2020. Media Kesmas (Public Health Media). 2021;1(2):289–305
  4. Rahman MM, Khan SJ, Tanni KN, Roy T, Chisty MA, Islam MR, et al. Knowledge, Attitude, and Practices towards Dengue Fever among University Students of Dhaka City, Bangladesh. Int J Environ Res Public Health. 2022 Apr 1;19(7)
  5. Tamengkel HV, Sumampouw OJ, Pinontoan OR. Ketinggian Tempat Dan Kejadian Demam Berdarah Dengue. Indonesian Journal Of Public Health and Community Medicine. 2020;1(1):12–8
  6. Widyatama EF. Faktor Risiko yang Berpengaruh Terhadap Kejadian Demam Berdarah Dengue di Wilayah Kerja Puskesmas Pare. Jurnal Kesehatan Lingkungan. 2018;10(4):417–23
  7. Nurhidayati A, Herdayati M, Lusida N. Analisis Spasial Autokorelasi Kejadian Demam Berdarah Dengue (DBD) di Kota Tangerang Selatan Tahun 2014-2019. Jurnal Ilmu Kesehatan Masyarakat. 2022;11(01):68–74
  8. Siregar T, Wenehenubun F. Hubungan Shift Kerja Dengan Tingkat Kelelahan Kerja Perawat Di Ruang Instalasi Gawat Darurat RSUD Budhi Asih, Jakarta Timur Relationship Between Work Shift And Fatigue Level Of Nurses In The Emergency Room At Budhi Asih Hospital, East Jakarta [Internet]. Vol. 6, Jurnal Persada Husada Indonesia. 2019. Available from: http://jurnal.stikesphi.ac.id/index.php/kesehatan
  9. Fuadzy H, Prasetyowati H, Marliyanih ES, Hendra A, Dadang AM. Autokorelasi Spasial Demam Berdarah Dengue di Kota Tasikmalaya. ASPIRATOR - Journal of Vector-borne Disease Studies. 2021;13(2):113–26
  10. Pertiwi WE, Bustomi S. Karakteristik Tempat Penampungan Air Bersih dengan Keberadaan Jentik Nyamuk Aedes Aegypti. 2021;2(2):9–17
  11. Dewi AAK, Sukendra DM. Maya Index dan Karakteristik Lingkungan Area Rumah dengan Kejadian Demam Berdarah Dengue. HIGEIA (Journal of Public Health Research and Development). 2018;2(4):531–42
  12. Wisfer, Ibrahim E, Selomo M. HUBUNGAN JUMLAH PENGHUNI, TEMPAT PENAMPUNGAN AIR KELUARGA DENGAN KEBERADAAN LARVA Aedes aegypti DI WILAYAH ENDEMIS DBD KOTA MAKASSAR Residents. Hasanudin Universty Repitory. 2020;15:274–82
  13. Lagu AbdMHR, Damayati DS, Wardiman M. Hubungan jumlah penghuni, jumlah tempat penampungan air dan pelaksanaan 3M Plus dengan keberadaan jentik nyamuk aedes sp di Kelurahan Balleangin Kecamatan Balocci Kabupaten Pangkep. Higiene Jurnal Kesehatan Lingkungan [Internet]. 2017;3(1):22–9. Available from: https://journal.uin-alauddin.ac.id/index.php/higiene/article/view/2760
  14. Fauziah NF. Karakteristik Sumur Gali Dan Keberadaan Jentik Nyamuk Aedes Aegypti. Jurnal Kesehatan Masyarakat. 2012;8(1):81–7
  15. Irawan A, Suryati E. Lingkungan Fisik, Pemberantasan Sarang Nyamuk 3M Plus Dan Demam Berdarah Dengue (Dbd) Di Puskesmas Payung Sekaki. Jurnal Ilmu Dan Teknologi Kesehatan Terpadu. 2021;1(1):20–7
  16. Yulianto B. IDENTIFIKASI JENTIK NYAMUK, KARAKTERISTIK SUMUR GALI DI KELURAHAN AIR DINGIN KOTA PEKANBARU 2019. Jurnal Kesehatan Masyarakat. 2020;4(April):35–41
  17. Wijayanti SPM. Karakteristik dan Pola Penyebaran Penyakit Demam Berdarah Dengue di Wilayah Endemis. 2019. 54 p
  18. Lestanto F. ANALISIS SPASIAL FAKTOR -FAKTOR YANG BERHUBUNGAN DENGAN KEJADIAN DEMAM BERDARAH DENGUE DI PUSKESMAS WILAYAH KERJA KABUPATEN BANTUL. Universitas Islam Indonesia. 2018;1(DBD):1–114
  19. Handayani D, Hadi DR, Isbaniah F, Burhan E, Agustin H. Penyakit Virus Corona 2019. jurnal respirologi indonesia. 2020;40(0853–7704):119–29
  20. Dharmasuari MS, Sudarmaja IM. HUBUNGAN TINGKAT PENGETAHUAN DAN PERILAKU PENCEGAHAN DEMAM BERDARAH DENGUE (DBD) TERHADAP KEJADIAN DBD DI DESA PEMECUTAN KLOD, KECAMATAN DENPASAR BARAT. E-jurnal Medika. 2019 Apr;8(ISSN:2303-1395)
  21. Pebrianti H, Ilham, Kalsum U. HUBUNGAN FAKTOR LINGKUNGAN FISIK,PERILAKU PEMBERANTASAN SARANG NYAMUK (PSN) 3M PLUS DAN KEBERADAAN VEKTOR TERHADAP KEJADIAN DEMAM BERDARAH DENGUE (DBD). Jurnal Ilmiah Indonesia [Internet]. 2021 Nov;6(4):5639–56. Available from: http://dx.doi.org/10.36418/
  22. Ernyasih, Zulfa R, Andriyani, Fauziah M. Analisis Spasial Kejadian Demam Berdarah Dengue Di Kota Tangerang Selatan Tahun 2016-2019. An-Nur: Jurnal Kajian dan Pengembangan Kesehatan Masyarakat [Internet]. 2020;01(01):74–98. Available from: https://jurnal.umj.ac.id/index.php/AN-NUR/article/view/7135
  23. Hayati AN, Pawenang ET. Analisis Spasial Kesehatan Lingkungan dan Perilaku di Masa Pandemi Untuk Penentuan Zona Kerentanan dan Risiko. Indonesian Journal of Public Health and Nutrition [Internet]. 2021;1(2):164–71. Available from: http://journal.unnes.ac.id/sju/index.php/IJPHN
  24. Husen OO, Tamburaka E. Tingkat Kerawanan Bencana Biologis Demam Berdarah Dengue (Dbd) Dengan Pendekatan Spasial Di Kabupaten Bombana. Jurnal Envirotek. 2022;14(1):1–11

Last update:

No citation recorded.

Last update:

No citation recorded.

slot gacor slot