Spatial Distribution of Dengue Hemorrhagic Fever (DHF) in Urban Setting of Bandung City

Respati, Titik; Raksanagara, Ardini; Djuhaeni, Henni; Sofyan, Asep

doi:10.29313/gmhc.v5i3.2535

Cited by 9 publications

(8 citation statements)

References 9 publications

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“…The previous study showed that Bandung city was one of the hyperendemic cities in West Java with fluctuated cases number especially in the year 2009, 2012, and 2013. 18 Our study result originated from DHF cases distributed in 2015, which is most likely to be the reason of small sample size. This notion provides evidence of compliance in DHF reporting system.…”

Section: Discussionmentioning

confidence: 90%

Two Serial Hematocrit Level Just After Admission to Predict Dengue Hemorrhagic Fever Severity

Ramadhani

Ghozali

Lismayanti

2018

GMHC

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Dengue hemorrhagic fever (DHF) is still the leading cause of hospitalization and death among children in Indonesia because of plasma leakage leading to shock syndromes. This study aimed to associate the hematocrit difference (first and second) from serial hematocrit (Hct) examination just after admission with DHF severity. A analytical cross-sectional study was involving medical records of pediatric patients with DHF admitted at the pediatric ward and the Pediatric Intensive Care Unit (PICU) of Dr. Hasan Sadikin General Hospital, Bandung in January–December 2015. The subjects excluded if other conditions also cause plasma leakage. The difference in first and second Hct (∆Hct) from serial Hct examination just after admission and DHF grade of severity (DHF I–IV) confirmed by a positive result in serologic tests (anti-dengue IgM/IgG), or detection of dengue virus antigen (NS1Ag test) obtained. Spearman association analysis test used for analysis. A total of 16 subjects with DHF I, 21 subjects with DHF II, 31 subjects with DHF III and two subjects with DHF IV included in this study. There was no significant correlation between positive ∆Hct value (hemoconcentration) and DHF severity (r=0.247, p=0.394, CI=95%). In conclusion, the difference in first and second Hct from serial Hct examination just after admission has no significant association with the disease severity. DUA NILAI HEMATOKRIT SERIAL SESAAT SETELAH ADMISI SEBAGAI PREDIKTOR KEPARAHAN DEMAM BERDARAH DENGUEDemam berdarah dengue (DBD) merupakan penyebab utama hospitalisasi dan kematian anak di Indonesia disebabkan oleh kebocoran plasma yang berujung pada syok. Tujuan penelitian ini mengetahui hubungan perbedaan hematokrit pertama dan kedua pada pemeriksaan hematokrit serial sesaat setelah admisi dengan keparahan DBD. Penelitian merupakan analytical cross-sectional study menggunakan data sekunder berupa rekam medis pasien anak yang dirawat di ruang perawatan anak dan Pediatric Intensive Care Unit (PICU) RSUP Dr. Hasan Sadikin Bandung pada Januari–Desember 2015. Subjek penelitian dieksklusi apabila pada rekam medis terdapat diagnosis lain yang menyebabkan kebocoran plasma. Variabel penelitian ini adalah perbedaan hematokrit pertama dan kedua (∆Hct) pada pemeriksaan hematokrit serial serta diagnosis DBD (DBD I–IV) yang dikonfirmasi oleh hasil positif pada pemeriksaan serologis (IgM/IgG antidengue) atau deteksi antigen virus (NS1Ag). Terdapat 16 subjek DBD I, 21 subjek DBD II, 31 subjek DBD III, dan 2 subjek DBD IV. Dengan menggunakan Uji Analisis Spearman, tidak terdapat korelasi yang signifikan antara nilai positif ∆Hct (hemokonsentrasi) dan tingkat keparahan DBD (r=0,247; p=0,394; CI=95%). Simpulan, perbedaan hematokrit pertama dan kedua pada pemeriksaan hematokrit serial tidak berhubungan dengan keparahan DBD.

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Section: Discussionmentioning

confidence: 90%

Two Serial Hematocrit Level Just After Admission to Predict Dengue Hemorrhagic Fever Severity

Ramadhani

Ghozali

Lismayanti

2018

GMHC

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“…Distribution of cases was concentrated in urban areas with dense populations such as Kutabanjarrnegara and surrounding area. The distribution pattern of cases were clustered, indicate the concentrated vector habitat, thus potentially greater local transmission [7]. Mapping of dengue case series can be used to examine the dynamics of dengue transmission.…”

Section: Discussionmentioning

confidence: 99%

“…Disease prevention will be much easier whenever the understanding of the diseases including its patterns is understood. An approach to understanding the disease was by mapping the cases according to areas [7]. This study aimed to determine the pattern of distribution of dengue cases and environmental spatial risk factors in Banjarnegara District from 2017-2019.…”

Section: Introductionmentioning

confidence: 99%

Dengue Spatial Distribution and Environment Factor in Banjarnegara District, Central Java Province

Sunaryo¹,

Ramadhani²,

Widiastuti³

2020

Proceedings of the 4th International Symposium on Health Research (ISHR 2019)

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Dengue Hemorrhagic Fever (DHF) is caused by dengue virus that is spread through the bite of the Aedes aegypti.spp mosquitoes. Banjarnegara District is a new DHF endemic area in Central Java Province. Insidence Rate in 2018 was 14/1.00.000 population. The larval free rate in Banjarnegara District was less than National rate (25%). Efforts to control dengue cases have been carried out including fogging, Sterile Insect Tecnique and larvae control. This study aimed to determine the pattern of dengue cases distribution and environmental spatial risk factors in Banjarnegara District from 2017-2019. A descriptive research using a cross sectional approach was conducted in Juli-August 2019. Spatial analysis was applied using the Geographic Information System (GIS) application with ArcView GIS devices. Cases distribution in Banjarnegara were overlaid with topographic map and population density in each sub district. According to the report of Banjarnegara Public Health Office, there were 144 DHF cases in 2017, 108 cases in 2018 and 884 cases in 2019. The spread of dengue cases were not only in urban areas but also in rural areas. More dominant cases were found in areas below 375 meters above sea level. The closest land use was the irrigated paddy field and the presence of a river flow. Most cases were distributed in areas with population densities of more than 1000-2500 people / km2. Dengue cases were more dominant in lowland areas near paddy fields and densely populated areas. Increased vector and dengue cases surveillance efforts were needed, especially at low-lying areas with community empowerment by installing ovitrap in each house.

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“…The number of reported annual confirmed dengue cases in Bandung City ranged from 3,000 to 6,000 in the period 2007–2016 ( Bandung City Health Office 2016 , Respati et al 2017 ). In this study, we used dengue incidence data based on the number of dengue cases, provided by local health institute, diagnosed by antigen NS1 test followed by the qRT-PCR for confirmation.…”

Section: Methodsmentioning

confidence: 99%

Temporal Correlation Between Urban Microclimate, Vector Mosquito Abundance, and Dengue Cases

Faridah

Fauziah

Agustian

et al. 2022

Journal of Medical Entomology

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Dengue Hemorrhagic Fever (DHF) is a major mosquito-borne viral disease. Studies have reported a strong correlation between weather, the abundance of Aedes aegypti, the vector of DHF virus, and dengue incidence. However, this conclusion has been based on the general climate pattern of wide regions. In general, however, the human population, level of infrastructure, and land-use change in rural and urban areas often produce localized climate patterns that may influence the interaction between climate, vector abundance, and dengue incidence. Thoroughly understanding this correlation will allow the development of a customized and precise local early warning system. To achieve this purpose, we conducted a cohort study, during January-December 2017, in 16 districts in Bandung, West Java, Indonesia. In the selected areas, local weather stations and modified light mosquito traps were set up to obtain data regarding daily weather and the abundance of adult female Ae. aegypti. A generalized linear model was applied to analyze the effect of local weather and female adult Ae. aegypti on the number of dengue cases. The result showed a significant non-linear correlation among mosquito abundance, maximum temperature, and dengue cases. Using our model, the data showed that the addition of a single adult Ae. aegypti mosquito increased the risk of dengue infection by 1.8%, while increasing the maximum temperature by one degree decreased the risk by 17%. This finding suggests specific actionable insights needed to supplement existing mosquito eradication programs.

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Spatial Distribution of Dengue Hemorrhagic Fever (DHF) in Urban Setting of Bandung City

Cited by 9 publications

References 9 publications

Two Serial Hematocrit Level Just After Admission to Predict Dengue Hemorrhagic Fever Severity

Two Serial Hematocrit Level Just After Admission to Predict Dengue Hemorrhagic Fever Severity

Dengue Spatial Distribution and Environment Factor in Banjarnegara District, Central Java Province

Temporal Correlation Between Urban Microclimate, Vector Mosquito Abundance, and Dengue Cases

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