Spasial Autokorelasi Sebaran Demam Berdarah Dengue Di Kecamatan Ambarawa

Pertiwi, Kartika Dian; Lestari, Ita Puji

doi:10.35473/proheallth.v2i1.389

Cited by 4 publications

(5 citation statements)

References 8 publications

(10 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Maka dari itu, tenaga surveilans dinas kesehatan kabupaten/kota membutuhkan metode pemetaan sebaran DBD yang akurat sehingga dapat membantu dalam menanggulangi penyebaran Demam Berdarah Dengue (DBD). Pola sebaran dan tingkat kerentanan suatu wilayah terhadap penyebaran DBD dapat dianalisa dengan menggunakan Moran's I. Pendekatan yang digunakan dalam Moran's I yaitu menghitung tingkat korelasi antar titik (autokorelasi spasial) sehingga memiliki tingkat akurasi yang baik dalam menentukan wilayah rentan DBD (12).…”

Section: Pembahasan Autokorelasi Spasial Demam Berdarah Dengueunclassified

Autocorrelation of Spatial Based Dengue Hemorrhagic Fever Cases in Air Putih Area, Samarinda City

Syamsir¹,

Pangestuty²

2020

JKL

View full text Add to dashboard Cite

Introduction: Dengue Hemorrhagic Fever (DHF) is the disease that spread quickly in tropical and subtropical regions. DHF can spread quickly because the dengue virus is transmitted through the Aedes aegypti and Aedes albopictus into the human body. One of the provinces that felt the impact of the dengue outbreak was East Kalimantan, especially Samarinda City. Efforts to prevent dengue have been attempted by health center officials in Samarinda City. The cause has not yet been effective in controlling DHF programs in Samarinda City because there is no mapping of DHF vulnerable areas. This study aims to map the pattern of DHF distribution in the working area of the health center to maximize the implementation of the DHF control program. Methods: The population in this study were all DHF sufferers registered at the Air Putih Health Center in 2018. Withdrawal samples using total sampling techniques. The analysis used in this study is spatial autocorrelation analysis by Moran’s I. The Moran Index method is used to determine the autocorrelation of the distribution of DHF cases. Result and Discussion: The results of the autocorrelation analysis showed a Z score <-Z α/2, meaning Ho was rejected. This shows that there is spatial autocorrelation in the distribution of DHF in the Health Center. Based on the Moran’s I value (Moran’s I = -0.045850) which has a negative value indicates that the distribution of DHF in the working area of the Health Center tends to spread or dispersed. Conclusion: This study concludes that the more cases of DHF in a densely populated area, the greater the chance of spatial autocorrelation. The closeness between DHF cases can form spatial autocorrelation with the dispersed category.

show abstract

Section: Pembahasan Autokorelasi Spasial Demam Berdarah Dengueunclassified

Autocorrelation of Spatial Based Dengue Hemorrhagic Fever Cases in Air Putih Area, Samarinda City

Syamsir¹,

Pangestuty²

2020

JKL

View full text Add to dashboard Cite

show abstract

“…diperkuat oleh pernyataan Lestari bahwa salah satu cara yang dapat menghilangkan telur nyamuk, sehingga telur tidak dapat bermetamorfosa lagi menjadi dewasa yaitu dengan menguras tempat penampungan air. 27 Penelitian ini secara garis besar menggambarkan kondisi yang berisiko bagi masyarakat di Kecamatan Bangilan, maka dari itu pengelola program DBD perlu mengantisipasi masa-masa dimana menjelang terjadi kanaikan kasus. Pengelola program DBD dapat meningkatkan program PSN secara mendalam yaitu melalui penyuluhan dan melakukan pemantauan jentik dengan jumantik agar kasus tidak meningkat pada bulan Februari 2022 serta bulan berikutnya dapat teratasi.…”

Section: Pembahasanunclassified

“…Persebaran acak artinya pola sebaran kasus DBD tidak berpusat di suatu titik atau satu wilayah tertentu. 27 Pola sebaran DBD di Kecamatan Bangilan cenderung tersebar di wilayah Bangilan, Banjarworo, Kedungmulyo, dan Sidodadi.…”

Section: Pembahasanunclassified

Analisis Spasial Pengaruh House Index dengan Kasus DBD di Kecamatan Bangilan Kabupaten Tuban

Izza¹,

Ngadino

Nurmayanti

et al. 2023

blb

View full text Add to dashboard Cite

Dengue Hemorrhagic Fever (DHF) in Tuban Regency was an important health problem. Bangilan sub-district is a sub-district in Tuban Regency which has high dengue cases. The Bangilan Health Center has not used mapping or spatial analysis in its surveillance activities for dengue cases. Disease mapping is useful in assisting surveillance activities and making it easier for us to find out the spread of the house index in each village area. The purpose of this study is to analyze the spatial house index with dengue cases in Bangilan District, Tuban Regency. This type of research is descriptive analytic. The population in this study is a house around DHF patients with a radius of 100 m from the patient's house in Bangilan District, with a total sample of 774 houses. The research variables were cases of DHF and house index. DHF cases in 2020-2022 were obtained from secondary data from the Bangilan Health Center, while the house index was obtained from the larvae survey results. The data were analyzed to determine the effect of the house index and dengue cases using the GeoDa application. The results showed that the average house index in Bangilan District was 20.8% which according to WHO was high. The pattern of spread of DHF cases is random with an Average Nearest Neighbor value = 1 and the results of Moran's Index (I) = 0.061, meaning that there is a strong spatial autocorrelation effect on the house index with DHF cases.

show abstract

“…Dengue Hemorrhagic Fever (DHF) is a disease caused by the bite of the Aedes Aegypti mosquito which contains the dengue virus. DHF is generally characterized by clinical symptoms in the form of high fever, bleeding manifestations, hepatomegaly, and signs of circulatory failure leading to shock (dengue shock syndrome) which can cause death (1). According to the NTT Health profile, in the TTS district area in the 2020, the number of dengue fever cases in TTS district was 105 cases with an IR (Incidence Rate) of 19.8 and in 2021 it will have an IR of 9.2.…”

Section: Introductionmentioning

confidence: 99%

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

Bakung,

Landi,

Sir

2024

Journal of Public Health for Tropical and Coastal Region

View full text Add to dashboard Cite

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.

show abstract

Spasial Autokorelasi Sebaran Demam Berdarah Dengue Di Kecamatan Ambarawa

Cited by 4 publications

References 8 publications

Autocorrelation of Spatial Based Dengue Hemorrhagic Fever Cases in Air Putih Area, Samarinda City

Autocorrelation of Spatial Based Dengue Hemorrhagic Fever Cases in Air Putih Area, Samarinda City

Analisis Spasial Pengaruh House Index dengan Kasus DBD di Kecamatan Bangilan Kabupaten Tuban

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

Contact Info

Product

Resources

About