A Spatial Analysis of Dengue Hemorrhagic Fever (DHF), Hygiene, and Latrines in Depok City in 2020

Abstract

Introduction: Depok is one of the areas in West Java with an increasing Dengue Hemorrhagic Fever (DHF) trend. In 2017, 548 DHF cases were reported, and this increased to 1,276 cases in 2020. It is necessary to control and map influencing factors on DHF incidence to detect endemic areas and reduce its spread. Methods: This study was conducted to identify a spatial autocorrelation between DHF, hygiene, and clean latrines in Depok in 2020. The data were obtained from the Depok City’s Health Profile published in 2020. The Moran’s I and local indicator of spatial association (LISA) univariate and bivariate analysis methods were performed using the GeoDa application. Results and Discussion: DHF (Moran’s I = 0.32), hygiene (Moran’s I = 0.25) and clean latrines (Moran’s I = 0.24) had a significant positive autocorrelation with the clustered pattern. This indicated that data patterns clustered had similar characteristics in the area. Villages in the high-high DHF incidence quadrant were Kukusan, East Beji, Beji, Tanah Baru, Kemirimuka, Depok, Pancoran Mas, and Depok Jaya. In general, there was no spatial autocorrelation neither between DHF and hygiene, nor DHF and clean latrines. However, in some urban villages, significant autocorrelations between these variables were discovered. Conclusion: DHF incidence in this study formed a clustered pattern. Influencing factors, such as hygiene and clean latrines, followed the same pattern. Besides that, a spatial autocorrelation was also apparent between DHF and hygiene, as well as DHF and clean latrines in several urban villages in Depok.

Analysis of the spread of dengue hemorrhagic fever with the moran index (Case study of Sukoharjo Regency in 2019)

“…Negative spatial autocorrelation means that the occurrences of DHF are not clustered in Hot-Spots or Cold-Spots, but rather distributed across spatial outlier areas. These results can refer to previous research, likely provides more detailed insights into the methodology and implications of the results [31,32]. The Moran Scatterplot is a graphical representation of spatial autocorrelation, and by categorizing the subdistricts into these four categories based on their spatial relationships and the number of DHF cases, it helps to identify the different spatial patterns of disease occurrences in Sukoharjo Regency.…”

Analisis Spasial Kejadian Diare pada Balita di Provinsi Sumatera Utara Tahun 2020

“…Kesimpulan tersebut sejalan dengan penelitian Naim et al (2022) yang menemukan bahwa terdapat autokorelasi spasial positif pada persentase rumah tangga dengan akses jamban sehat di Depok Jawa Barat. Pada penelitian tersebut, lokasi dengan persentase rumah tangga dengan akses jamban sehat rendah cenderung untuk saling bertetangga (25). Delapan kabupaten (Nias, Mandailing Natal, Tapanuli Selatan, Nias Selatan, Padang Lawas, Padang Lawas Utara, Nias Barat, dan Padang Sidempuan) yang berada dalam kuadran high-high merupakan kabupaten yang memiliki nilai tinggi untuk persentase rumah tangga tanpa jamban sendiri dan saling bertetangga.…”

“…Perilaku ini dilatarbelakangi oleh kondisi sosial dan behavioral problem terkait kesehatan. Pemerintah dan organisasi non-pemerintah dapat memberikan dukungan dan bantuan finansial lewat program-program khusus terkait edukasi dan pengadaan jamban (25). Keberadaan dan penggunaan jamban keluarga merupakan faktor penting dalam penanggulangan permasalahan diare.…”

Dengue Hemorrhagic Fever (DHF) Education for Residents of Labuh Baru Timur RT 02/08, Payung Sekaki District, Pekanbaru

“…Of this count, 11,002 are male and 11,589 are female. Religious affiliations within this area include 16,719 Muslims, 1,368 Catholics, 1,900 Protestants, 670 Hindus, and 1,930 Buddhists (Source: Labuh Baru Timur Village Office, 2022) Dengue hemorrhagic fever (DHF) (Naim et al, 2022) is a disease caused by the dengue virus, primarily transmitted by the Aedes aegypti mosquito. Addressing dengue hemorrhagic fever (DHF) presents a multifaceted challenge, especially regarding control measures that have yet to produce desired outcomes.…”