Analisis Spasial Autokorelasi Kejadian Demam Berdarah Dengue (DBD) di Kota Tangerang Selatan  Tahun 2014-2019

Nurhidayati, Annisa; Herdayati, Milla; Lusida, Nurmalia

doi:10.33221/jikm.v11i01.962

Cited by 3 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results of another study from Zulfa, Rafika Fauziah, Munaya in South Tangerang in 2016-2019 showed that the distribution pattern of Dengue Hemorrhagic Fever moved in line wihe sth the increase in population. (Zulfa and Fauziah, 2020).…”

Section: Discussionmentioning

confidence: 99%

Spatial Analysis of Dengue Hemorrhagic Fever in East Manggarai, Indonesia: A Case Study

Siga,

Astutik,

Ximenes

2023

JPHRECODE

View full text Add to dashboard Cite

Background: East Manggarai is one of the District in East Nusa Tenggara Province with a high transmission area and a high number of Dengue Hemorrhagic Fever cases. Spatial analysis can provide spatial information related to the distribution pattern of DHF. Purpose: To spatially analyze the cases of DHF in East Manggarai District in 2021. Methods: This study used a descriptive survey method with a case study design sampling technique, Purposive sampling approach used a sample size of 103 cases. Data processing and spatial data analysis use Quantum Geographic Information Systems software with Nearest Neighbor Analysis and buffer analysis to describe the distribution of cases based on population density, House Index, Container Index, and Buffer Zone. Results: Spatial analysis using QGIS showed that the Nearest Neighbor Index was 0.323 < 1, and the CI value was 34.7, the HI value was 54 while the buffer zone showed the tendency for dengue transmission to occur in most cases within a radius of 100 meters. Conclusion: The pattern of DHF transmission is clustered, the sub-districts of Borong, Rana Mese, and Komba became the sources of DHF transmission where Container Index and House Index were classified as high categories, and population density was classified as high and low categories. Preventive action such as eliminating mosquito breeding areas were essential.

show abstract

Section: Discussionmentioning

confidence: 99%

Spatial Analysis of Dengue Hemorrhagic Fever in East Manggarai, Indonesia: A Case Study

Siga,

Astutik,

Ximenes

2023

JPHRECODE

View full text Add to dashboard Cite

show abstract

“…12 Other studies have shown that the pattern of DHF transmission tends to be positive for age, education, occupation and population density. 13 Education is the formal education that has been taken by respondents. In this research, the higher the level of education of the respondent, the greater the ability of a person to receive information obtained.…”

Section: Hostmentioning

confidence: 99%

Epidemiological Determinants and Trend Analysis of Dengue Fever Disease

Sutriyawan,

Suherdin,

Kurniawati

2024

woh

View full text Add to dashboard Cite

Bandung City is an endemic area for dengue fever, with 4,424 cases and 14 deaths. This research aims to analyze the epidemiological determinants and see the trend analysis to forecast dengue hemorrhagic fever cases. This research used a case-control design. The case population was those who suffered from dengue hemorrhagic fever, while the control population was those who did not suffer from dengue hemorrhagic fever. A sample of 510 respondents was taken. Sampling using a purposive sampling technique. Epidemiological determinants were analyzed using the chi-square test and logistic regression, while disease trends used exponential smooth analysis. The related results were education (p=0.036), presence of mosquito larvae (p=0.000), container material (p=0.002), water container (p=0.025), mosquito wire (p=0.010), presence of solid waste (p=0.002), mosquito repellent plants (p=0.041), mobility (p=0.004). The most dominant epidemiological determinant was the presence of mosquito larvae (OR=3.2). The incidence trend of dengue fever is increasing over the next 5 years. The research concluded that the epidemiological determinants of dengue fever were education, the presence of mosquito larvae, container materials, water collection objects, mosquito wires, the presence of solid waste, and mosquito repellent plants. The presence of mosquito larvae was the dominant factor. There is an increase in dengue fever cases over the next 5 years. It is recommended to increase the larva-free rate by optimizing Jumantik cadres and conducting epidemiological surveillance.

show abstract

“…Berdasarkan tabel 1 diketahui secara umum kejadian DBD di Kota Bandung pada tahun 2017 -2021 memiliki pola mengelompok (clustered) dan memiliki autokorelasi positif, akan tetapi hanya pada tahun 2020 tidak signifikan. Hal ini sejalan dengan beberapa penelitian sebelumnya yang menemukan bahwa adanya autokorelasi spasial positif (pola mengelompok) kejadian DBD 4,5,6,7,8,9 . Ini menunjukkan bahwa sebaran spasial kejadian demam berdarah dengan nilai tinggi di Kota Bandung lebih mengelompok secara spasial.…”

Section: Autokorelasi Spasial Globalunclassified

Pola Spasial Penyakit Demam Berdarah Dengue Di Kota Bandung Tahun 2017 - 2021

Yudhistira

Rahmaniati

2022

epj

View full text Add to dashboard Cite

AbstrakKota Bandung merupakan wilayah yang memiliki jumlah kasus demam berdarah dengue paling tinggi di Provinsi Jawa Barat tahun 2017-2021. Tingginya kasus DBD di Kota Bandung memerlukan kajian untuk mengidentifikasi penanganan penyakit tersebut. Salah satu caranya adalah dengan melakukan kajian distribusi spasial kasus DBD di Kota Bandung dengan unit analisis wilayah kecamatan sehingga dapat dilakukan penanganan sesuai dengan karakteristik kecamatan di Kota Bandung. Tujuan dari penelitian ini adalah untuk mengetahui pola spasial kejadian penyakit DBD di Kota Bandung tahun 2017- 2021. Penelitian ini menggunakan data kasus DBD yang diperoleh dari Profil Kesehatan Kota Bandung Tahun 2017-2021. Analisis data autokorelasi spasial global pada penelitian ini menggunakan Moran’s I dan autokorelasi spasial lokal menggunakan Local Moran’s I dengan pembobotan spasial queen contiguity weight. Analisis data menggunakan aplikasi open source GeoDa 1.20.0.8. Hasil analisis autokorelasi spasial global, kejadian DBD memiliki pola mengelompok dan memiliki autokorelasi positif. Hasil analisis autokorelasi spasial lokal diperoleh 3 kecamatan yang termasuk dalam kuadran I (high-high) lebih dari 1 kali periode tahun yaitu Kecamatan Kiaracondong, Kecamatan Buahbatu dan Kecamatan Antapani. Selain itu, terdapat 2 kecamatan yang berada pada kuadran II (low-high) lebih dari 1 kali periode tahunan yaitu Kecamatan Mandalajati dan Kecamatan Cidadap. Dinas Kesehatan Kota Bandung agar membuat penetapan wilayah prioritas penanganan DBD di Kota Bandung serta berkolaborasi dengan lintas sektor untuk pemberdayaan masyarakat dalam program pemberantasan sarang nyamuk dan jentik nyamuk.Kata Kunci : DBD, autokorelasi spasial global, autokorelasi spasial lokal.

show abstract

Analisis Spasial Autokorelasi Kejadian Demam Berdarah Dengue (DBD) di Kota Tangerang Selatan Tahun 2014-2019

Cited by 3 publications

References 7 publications

Spatial Analysis of Dengue Hemorrhagic Fever in East Manggarai, Indonesia: A Case Study

Spatial Analysis of Dengue Hemorrhagic Fever in East Manggarai, Indonesia: A Case Study

Epidemiological Determinants and Trend Analysis of Dengue Fever Disease

Pola Spasial Penyakit Demam Berdarah Dengue Di Kota Bandung Tahun 2017 - 2021

Contact Info

Product

Resources

About