Study Epidemiologi Dengan Pendekatan Analisis Spasial Temporal Pada Kejadian Demam Berdarah Dengue (DBD) Di Kecamatan Masaran Kabupaten Sragen Tahun 2016-2018

Background: The high number of visits by sufferers of some environmental-based diseases to health service centers shows that the disease is still a serious problem in Indonesia, and one of them is Dengue Hemorrhagic Fever (DHF). Dengue Hemorrhagic Fever (DHF) in Sragen regency has become endemic, especially in the Masaran sub-district reportedly still an endemic area of dengue fever. Geographically, the endemicity of Dengue Hemorrhagic Fever (DHF) in an area can be described using Geographic Information Systems (GIS). Research Objectives: This study aims to provide an overview of the Spatial and Temporal Dengue Hemorrhagic Fever (DHF) distribution based on population density and rainfall factors as well as to provide a description of the endemicity of the area against DHF in Masaran District, Sragen Regency with the application of Geographic Information Systems (GIS). Methods: The design of this study was Observational Analytic with Crossectional approach using Geographic Information Systems (GIS) modeling. The data used are secondary data about the incidence of DHF from the Sragen District Health Office in 2016-2018. The research subjects were determined by a Registry Based Study approach with a saturated sampling technique. The collected data will be analyzed descriptively by displaying a frequency distribution table, bivariate analysis with the Pearson Product Moment test and spatial-temporal analysis using the Geographic Information System (GIS) function. Results: The results of this study indicate that the spatial distribution of Dengue Hemorrhagic Fever (DHF) events is distributed randomly to all regions in Masaran District, Regency. The incidence of DHF in Masaran Subdistrict, Sragen Regency was related to Rainfall (p = 0.006) with a negative correlation direction (r = -0.741). The incidence of DHF in The Masaran Subdistrict, Sragen Regency was not related to population density (p = 0.839). Spatially-Temporal shows that there are 6 Villages in Masaran Subdistrict, Sragen Regency which are endemic areas of Dengue Hemorrhagic Fever (DBD), namely Sepat, Dawungan, Masaran, Jati, Pringanom and Krikilan villages. Conclusion: Incidence of Dengue Hemorrhagic Fever (DHF) in Masaran Subdistrict, Sragen Regency is related to Rainfall, where low rainfall tends to increase the incidence of DHF. During 2016-2018 in Masaran Subdistrict, Sragen Regency, there were 6 villages which were endemic areas of DHF, namely Sepat, Dawungan, Masaran, Jati, Pringanom and Krikilan villages.

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Spatial Distribution of Dengue Hemorrhagic Fever (DHF) Casesin Sragen

Disease Prevention and Public Health Journal ◽

10.12928/dpphj.v15i1.2178 ◽

2021 ◽

Vol 15 (1) ◽

pp. 42

Author(s):

Dodiet Aditya Setyawan ◽

Wiwik Setyaningsih

Keyword(s):

Spatial Distribution ◽

Information Systems ◽

Geographic Information Systems ◽

Dengue Hemorrhagic Fever ◽

Hemorrhagic Fever ◽

Geographic Information ◽

Spatial Description ◽

District Health ◽

Cross Sectional ◽

Endemic Areas

Background: Dengue Hemorrhagic Fever (DHF) had still become a health problem that often occurred and not least caused death for Indonesia especially in Sragen, Central Java. Distribution of DHF cases in an area could be described using Spatial analysis with Geographic Information Systems (GIS). Objective: This study aimed to provide spatial distribution of Dengue Hemorrhagic Fever cases and regional endemicity of DHF in Sragen during 2016-2018 using Geographic Information Systems. Method: Descriptive research design with Cross-Sectional approach using GIS was used to get the description of spatial distribution of dengue and the region endemicity of dengue in Sragen. The sample used was Saturated Sample which was secondary data about the incidence of DHF from District Health Office of Sragen from 2016 to 2018 totaling 1,349 cases. The subjects consisted of geographical areas which consisted of 20 subdistricts with DHF case. The collected data were analyzed descriptively by displaying a frequency distribution table and description of spatial distribution using Geographic Information System. Results: The results showed that the spatial distribution of DHF was spread randomly in all districts in Sragen. The average incidence rate (IR) of DHF during the last 3 years in Sragen was > 50 / 100,000 population. Spatial description showed that 58 villages out of 208 villages in Sragen were DFH endemic areas and generally all subdistricts in Sragen were endemic areas of DHF. Conclusion: Spatial description of DHF in Sragen showed that all subdistricts in Sragen were endemic areas for DHF.

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Spatial analysis of dengue hemorrhagic fever in Talaud Islands regency

International Journal of Community Medicine and Public Health ◽

10.18203/2394-6040.ijcmph20205683 ◽

2020 ◽

Vol 8 (1) ◽

pp. 104

Author(s):

Chreisye K. F. Mandagi ◽

Angela F. C. Kalesaran ◽

Febi K. Kolibu

Keyword(s):

Spatial Analysis ◽

Population Density ◽

Dengue Hemorrhagic Fever ◽

Secondary Data ◽

Hemorrhagic Fever ◽

Spatial Description ◽

District Health ◽

Study Approach ◽

Spatial Risk ◽

Risk Areas

Background: The number of dengue hemorrhagic fever (DHF) cases in Indonesia from January to February 2016 was 8,487 with 108 deaths. DHF is an infectious disease that continues to increase from 2014 until 2016 in Manado city. DHF cases in Talaud Islands Regency from 2014 to 2016 were 143 cases. Regional spatial analysis would simplify the distribution of DHF cases in high-risk areas. To be aware of the DHF outbreak cycle, it is necessary to model spatial risk factors based on geographic information systems (GIS) to tackle and eradicate DHF cases by region.Methods: This study aimed to analyze the spread of DHF in Talaud regency based on age, sex, population density and area height. The design of this research is qualitative analytic by using an ecological study approach. The research scope was 19 districts in Talaud regency. Secondary data are used which consists of case number, age, sex, population density, and area height taken from the Talaud district health office with 66 DHF cases in 2018-2019 and analyzed using the GIS approach through spatial analysis.Results: Based on the number of DHF cases that is most in the age group of 5-11 years. Male gender is more likely to suffer from DHF than female. Spatial description of the condition of the altitude in the Talaud Islands regency at risk of suffering from DHF is>50 meters above sea level. Spatial description of population density with most DHF cases is not densely populated area with less than 1,620 inhabitants per km.Conclusions: The health office of Talaud islands regency needs to actively promote health by providing information about eradicating mosquitoes.

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Knowledge, Attitude, and Practice of Dengue Hemorrhagic Fever Prevention Among Mothers in Endemic and Non-Endemic Locations of Pekanbaru City, Riau Province, Indonesia

Borneo Epidemiology Journal ◽

10.51200/bej.v1i1.2437 ◽

2020 ◽

Vol 1 (1) ◽

pp. 55-66

Author(s):

Tyagita Widya Sari ◽

Martha Saptariza Yuliea ◽

Novita Meqimiana Siregar ◽

Raudhatul Muttaqin

Keyword(s):

Dengue Hemorrhagic Fever ◽

Health Centre ◽

Sampling Technique ◽

Hemorrhagic Fever ◽

Bivariate Analysis ◽

P Value ◽

Cross Sectional ◽

Attitude And Practice ◽

Endemic Areas ◽

Knowledge Attitude And Practice

Dengue hemorrhagic fever (DHF) is an infectious disease caused by dengue virus, which is one of the serious public health problems in Indonesia, particularly Pekanbaru City, Riau Province, Indonesia. One of the DHF endemic locations in Pekanbaru City is Payung Sekaki Health Centre, where 52 DHF cases and no deaths were reported in 2018. The number of DHF cases has increased to 53 and caused 1 death in January-August 2019 period (CFR = 1.89%). Karya Wanita Rumbai Health Centre is one of the DHF non-endemic areas in Pekanbaru City, where only 10 DHF cases and no deaths were reported in January-August 2019 period. The purpose of this study was to compare the knowledge, attitude, and practice of DHF prevention between mothers in endemic and non-endemic areas of Pekanbaru City, Riau Province, Indonesia. The design of this study was observational, with a cross-sectional approach. The sampling technique used in this study was accidental sampling, which included 100 respondents from each region. The data source of this study consisted of primary and secondary data. Data analysis was performed using bivariate analysis with Mann Whitney statistical test because the data were not normally distributed. The results of the study showed that there were no differences in knowledge (p-value = 0.912) and attitude (p-value = 0.065) of DHF prevention between mothers living in the endemic and non-endemic areas of Pekanbaru City, Riau Province, Indonesia. However, there were differences in practice of DHF prevention between mothers (p-value = 0.002) living in the endemic and non-endemic areas of Pekanbaru City, Riau Province, Indonesia. The conclusion of this study is that there is no difference in knowledge and attitude of DHF prevention between mothers living in the endemic and non-endemic areas, but there are differences in DHF prevention practice between mothers living in the endemic and non-endemic areas of Pekanbaru City, Riau Province, Indonesia.

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Correlation Study between Elevation, Population Density, and Dengue Hemorrhagic Fever in Kendari City in 2014–2018

Open Access Macedonian Journal of Medical Sciences ◽

10.3889/oamjms.2020.5187 ◽

2020 ◽

Vol 8 (T2) ◽

pp. 63-66

Author(s):

Siti Nurul Ainun Istiqamah ◽

Arsunan A. Arsin ◽

Andi Ummu Salmah ◽

Anwar Mallongi

Keyword(s):

Population Density ◽

Dengue Hemorrhagic Fever ◽

Rapid Development ◽

Pearson Correlation ◽

Hemorrhagic Fever ◽

Correlation Study ◽

Bivariate Analysis ◽

Design Data ◽

Positive Direction ◽

Pearson Correlation Test

BACKGROUND: The incidence of dengue hemorrhagic fever (DHF) has experienced rapid development throughout the world in recent decades. Indonesia was reported as the 2nd country with the largest DHF cases among 30 endemic countries. Dengue virus can develop properly based on certain regional conditions. The elevation is an important factor that can affect the presence of dengue vector mosquitoes. High population density contributes to dengue transmission by increasing the contact between infected mosquitoes and human hosts. AIM: This study aimed to determine the correlation between elevation and population density with the incidence of dengue in Kendari City in 2014–2018. METHODS: This research is an observational analytic study with ecological study design. Data incidence of DHF in 2014–2018, elevation and population density were respectively obtained from the Health Office of Kendari City, Meteorology, Climatology and Geophysics Agency of Kendari City, Statistics Agency of Kendari City. The analysis of the data used in the study is univariate and bivariate analysis. Bivariate analysis using Pearson correlation test was performed. RESULTS: The results showed that the correlation between elevation and DHF (p = 0.014, r = 0.339) and the correlation between population density and DHF (p = 0.186). CONCLUSION: It can be concluded that there is significant correlation with positive direction between elevation and the DHF, and there is no significant correlation between population density and DHF incidence in Kendari City in 2014–2018.

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Spatial Analysis of Dengue Hemorrhagic Fever based on Influencing Factors in Jombang, 2014–2018

Jurnal Berkala Epidemiologi ◽

10.20473/jbe.v9i12021.79-87 ◽

2021 ◽

Vol 9 (1) ◽

pp. 79

Author(s):

Retno Tri Hastuti ◽

Lucia Yovita Hendrati

Keyword(s):

Multivariate Analysis ◽

Population Density ◽

Dengue Hemorrhagic Fever ◽

Healthy Lifestyle ◽

Hemorrhagic Fever ◽

Moran’S I ◽

Bivariate Analysis ◽

Analysis Tool ◽

Moran's I ◽

Healthy Homes

Background: Jombang District is an endemic area of dengue hemorrhagic fever (DHF). Purpose: The aim of this study was to spatially analyze various factors simultaneously (multivariate analysis) in relation to the incidence of DHF in Jombang District during the period 2014–2018. The factors studied were population density, larvae free index, rainfall, coverage of healthy homes, and healthy lifestyle coverage. Methods: The research was conducted as an observational study with an ecology research design. The data were secondary data from the Health Office and Statistic Central Bureau of Jombang District. The population consisted of 21 sub-districts in Jombang District in 2014–2018. The sample used the total population. The data analysis tool used in this study was GeoDa regression Moran's I software. Results: The bivariate analysis showed that there was a correlation between larvae free index (p = 0.04), healthy lifestyle coverage (p = 0.02), rainfall intensity (p = 0.20), population density (p = 0.07), and coverage of healthy houses (p = 0.22) with DHF incidence. According to Moran's I for spatial dependence (multivariate analysis), showed that there was a correlation between all the variables and DHF (p = 0.03). Conclusions: The variables of larvae free index and healthy lifestyle coverage related to the Incidence Rate (IR) of DHF cases. There was no correlation between IR and variable population density, rainfall, or coverage of healthy homes. Various spatial factors are simultaneously related to IR, even though only two variables are shown to be related to IR in the bivariate analysis.

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