scholarly journals Spatial analysis of dengue hemorrhagic fever in Talaud Islands regency

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.

scholarly journals PEMODELAN INCIDENT RATE DEMAM BERDARAH DENGUE DI INDONESIA YANG BERKAITAN DENGAN FAKTOR LINGKUNGAN MENGGUNAKAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR)

EKOLOGIA ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 64-73
Author(s):  
Kiki Amelia ◽  
Latifa Oktafiani Asril ◽  
Lasmi Febrianti
Keyword(s):  
Population Density ◽  
Dengue Hemorrhagic Fever ◽  
Geographically Weighted Regression ◽  
Physical Environment ◽  
Secondary Data ◽  
Hemorrhagic Fever ◽  
Least Square ◽  
Gaussian Kernel ◽  
Weighted Regression ◽  
Incident Rate

Dengue hemorrhagic fever cases in Indonesia often occur in cities and villages. Every year hundreds to thousands of people must be hospitalized due to this disease. There are several factors of the physical environment that directly or indirectly influence the transmission of this disease. Such as rainfall, air temperature, and humidity. In addition to the physical environment there are several other factors that can increase the occurrence of dengue cases, namely population density and the level of larvae free in an area. For this reason, we conducted a study of the above factors and their contribution in the addition of dengue cases that occurred in Indonesia in 2015 using secondary data. The purpose of this study is to identify and make a BDB iricident rate model related to environmental factors such as temperature, humidity, population density, and the amount of rainfall on the number of cases of dengue hemorrhagic fever in Indonesia in 2015. The method used is the Geographically Weighted Regression method. (GWR). In the GWR model the parameter estimation uses Weighted Least Square (WLS) by weighting the gaussian kernel function. The results of the study concluded that modeling with GWR was better than linear regression and the variables were significantly different in each region.

scholarly journals Description of Extraordinary Events of Dengue Hemorrhagic Fever In Belu Regency, East Nusa Tenggara Province 2020

2021 ◽  
Vol 9 (3) ◽  
pp. 172
Author(s):  
Werenfridus Leonardo Nando Luan
Keyword(s):  
Dengue Fever ◽  
Dengue Hemorrhagic Fever ◽  
Endemic Area ◽  
Case Series ◽  
Secondary Data ◽  
Hemorrhagic Fever ◽  
Age Group ◽  
District Health ◽  
Series Design ◽  
Group 5

Belu Regency is located in the province of East Nusa Tenggara (NTT), Indonesia and is an endemic area for dengue fever. Nationally, until June 2020, there were 16,320 cases of dengue fever with a CFR of 0.009%, while in Belu Regency there were 820 cases recorded until June 2020 with a CFR of 0.97%. This study aims to describe the outbreak of DHF by person, place and time as well as the distribution of cases in Belu Regency. this research is descriptive observational with case series design. The source of research data is secondary data on dengue cases obtained from the 2016-2019 Dengue Hemorrhagic Fever (DHF) Report and the DHF outbreak report in January-June 2020, the Belu District Health O ce. DHF cases in Belu Regency until June 2020 were 820 cases with symptoms of fever 2-7 days by 100% and supported by laboratory platelet examinations of 73%. The highest IR rate until June 2020 is 367 per 100. 000 residents with a CFR of 0.97% spread over 12 sub-districts of Belu Regency. The highest IRs (>20 per 10,000 population) are Atambua city, South Atambua, East Tasifeto, West Atambua, Kakuluk Mesak and West Tasifeto subdistricts. The majority of DHF in the age group 5-14 years 521 cases (27.1%) with female sex as many as 495 cases (51.51%). DHF cases were found since the first epidemiological week at the beginning of the year with peak cases at the 13th week. Belu Regency Is a dengue endemic area with an IR of 367/100,000 population with a CFR of 0.97%. The highest cases were in the 5-14 year age group and spread across 12 sub-districts of Belu Regency. 

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

2019 ◽  
Vol 8 (2) ◽  
pp. 189-196
Author(s):  
Dodiet Aditya Setyawan
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Population Density ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Geographic Information ◽  
Bivariate Analysis ◽  
Research Subjects ◽  
District Health ◽  
Endemic Areas

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.

scholarly journals AN OVERVIEW OF DENGUE HEMORRHAGIC FEVER CASES AND ENVIRONMENTAL FACTORS IN SUMENEP DISTRICT IN 2018

2020 ◽  
Vol 8 (3) ◽  
pp. 293
Author(s):  
Ainun Jaria ◽  
Chatarina Umbul Wahjuni
Keyword(s):  
Population Density ◽  
Dengue Hemorrhagic Fever ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Hemorrhagic Fever ◽  
Cross Sectional ◽  
The People ◽  
Cross Sectional Design ◽  
Time Variables ◽  
Epidemiological Characteristics

Background: Dengue hemorrhagic fever (DHF) has been occurring in Indonesia for more than 50 years, and there were 65,602 cases of it in 2018 alone. Sumenep District reported the 12th highest number of DHF cases (292) in East Java Province in 2018. Purpose: This research aims to describe DHF in Sumenep District in 2018. Methods: This research is a descriptive study employing a cross-sectional design. The data used in this research were secondary data gathered from the Sumenep Health Office in 2018. The variables observed in this research were the epidemiological characteristics included in the epidemiological triangle—people, place (region), and time. Descriptive analysis was conducted to examine the DHF case distribution, using a frequency table, among the people, place (region), and time variables. Results: Sumenep District is home to 1,085,227 citizens, with a population density of 518 people/km2. The number of DHF cases in Sumenep District was 292, with the highest concentration of cases in the age range of 5–14 years (47.30%); the most cases were also male (57.19%). DHF often occurred in sub-districts with high population density, and more commonly in January. Conclusion: Most of the Sumenep District’s DHF cases in 2018 were males in the age group of 5–14 years old.

scholarly journals Pemetaan Karakteristik Wilayah Demam Berdarah Dengue di Kabupaten Gunungkidul, Provinsi Daerah Istimewa Yogyakarta, Tahun 2011-2015

2019 ◽  
Vol 47 (3) ◽  
pp. 143-152
Author(s):  
Nungki Hapsari Suryaningtyas ◽  
Milana Salim ◽  
Indah Margarethy
Keyword(s):  
Population Density ◽  
Secondary Data ◽  
Clean Water ◽  
Haemorrhagic Fever ◽  
Large Area ◽  
District Health Office ◽  
District Health ◽  
Spatial Risk ◽  
Arc Gis ◽  
Death Cases

Dengue Haemorrhagic Fever (DHF) is one of Arthropod-Borne Virus that causes health problems. One of the provinces that have morbidity rates above the national rates was DI Yogyakarta province, about 167.89 per 100.000 population, the number of dengue cases in 2015 in Gunungkidul Regency was 498 cases with three death cases. The study of DHF cases distribution in Gunungkidul Regency was aimed to analyze the spatial risk factors againts DHF cases in Gunungkidul Regency using geographic information system applications. This study used a secondary data sourced from the book of Profile of Gunugkidul District Health Office and the report of Gunungkidul Regency Central Bureau of Statistics in 2011-2015. The variables analyzed included the data of DHF cases per sub-district, population density, the large area, and clean water facilities with rain storage. The data served in map, each variable processed by overlaying methode using the Gis Arc program 10. The mapping results showed that the population density and large area have no effect to the incidence of DHF. All sub-districs in Gunungkidul Regency have the same risk in spreading dengue cases. Most of endemic subsdistrict area have rain storage, that means there are possibility of Aedes aegypti and Aedes albopictus as DHF vector could thrive well in those area. Keywords: DHF, mapping, regional characteristics, Gunungkidul Abstrak Demam Berdarah Dengue (DBD) merupakan salah satu penyakit virus tular vektor yang menimbulkan masalah kesehatan. Salah satu provinsi dengan angka kesakitan di atas angka nasional adalah Provinsi Daerah Istimewa Yogyakarta (DIY) dengan angka kesakitan sebesar 167,89 per 100.000 penduduk, jumlah kasus DBD pada tahun 2015 di Kabupaten Gunungkidul (498 kasus) dengan tiga kematian. Kajian mengenai distribusi kasus DBD di Kabupaten Gunungkidul bertujuan untuk menganalisis faktor risiko secara spasial yang berpengaruh terhadap kejadian DBD di Kabupaten Gunungkidul menggunakan aplikasi sistem informasi geografis. Kajian ini menggunakan data sekunder yang bersumber dari buku Profil Dinas Kesehatan Kabupaten Gunugkidul dan laporan Badan Pusat Statistik Kabupaten Gunungkidul tahun 2011-2015. Variabel yang dianalisis meliputi data kasus DBD per kecamatan, kepadatan penduduk, luas wilayah, dan sarana air bersih dengan penampungan air hujan. Data disajikan dalam bentuk peta, setiap variabel disusun dengan metode overlay menggunakan program Arc Gis 10. Hasil pemetaan menunjukkan bahwa kepadatan penduduk dan luas wilayah tidak berpengaruh pada kejadian DBD. Semua kecamatan di Kabupaten Gunungkidul memiliki risiko yang sama dalam penyebaran kasus DBD. Sebagian besar Kecamatan yang endemis DBD memiliki tempat penampungan air hujan, artinya ada kemungkinan vektor DBD, baik Ae. aegypti maupun Ae.albopictus dapat berkembang baik di wilayah tersebut. Kata kunci : DBD, pemetaan, karakteristik wilayah, Gunungkidul

scholarly journals Spatial Distribution of Dengue Hemorrhagic Fever (DHF) Casesin Sragen

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.

Difusi dan Pola Spasial Sebaran Penyakit Demam Berdarah Dengue (DBD) Di Kota Bandar Lampung

2018 ◽  
Vol 1 (1) ◽  
pp. 87-95
Author(s):  
Nurul Qamila ◽  
Agel Vidian Krama
Keyword(s):  
Public Health ◽  
Spatial Analysis ◽  
Aedes Aegypti ◽  
Dengue Virus ◽  
Spatial Pattern ◽  
Dengue Hemorrhagic Fever ◽  
Health Problem ◽  
Public Health Problem ◽  
Hemorrhagic Fever ◽  
Descriptive Method

Dengue hemorrhagic fever (DHF) is a contagious disease caused by the dengue virus and is transmitted by the mosquito Aedes aegypti (Aa.aegypti). The population is still a public health problem that increases the number of sufferers and also widespread, with population and education. This study aims to reveal the spatial pattern and distribution of Dengue Hemorrhagic Fever (DHF) with the spatial pattern and the spread of Dengue Hemorrhagic Fever (DHF) can result in different locations of these allegations. From the map that can be used for the prevention of Dengue Hemorrhagic Fever (DBD) in Bandar Lampung City. This study aims to reveal the spatial pattern and distribution of Dengue Hemorrhagic Fever (DHF) with the descriptive method and spatial pattern of Dengue Hemorrhagic Fever (DHF) can result in different locations of these allegations. From the map that can be used for the prevention of Dengue Hemorrhagic Fever (DBD) in Bandar Lampung City. Keywords: DHF, Spatial Analysis

scholarly journals Relationship Host Behavior and The Environment of DHF Incidence in Wonokusumo Surabaya

2018 ◽  
Vol 5 (3) ◽  
pp. 383
Author(s):  
Sofa Nutrima Rismawati
Keyword(s):  
Data Collection ◽  
Dengue Hemorrhagic Fever ◽  
Secondary Data ◽  
Hemorrhagic Fever ◽  
Primary Data ◽  
Environment Interaction ◽  
Cross Sectional ◽  
Host Behavior ◽  
Cross Sectional Design ◽  
Data Collection Technique

ABSTRACTFree Number of larvae (ABJ) in RW 15, Wonokusumo Village is 85%. However, the incidence of Dengue Hemorrhagic Fever (DHF) is still high, ie 17 cases. The high incidence rate of DHF is due to the interaction between host, agent and environment. Host in terms of behavior, dengue virus as an agent and environment derived from the surrounding conditions that can cause and trigger the spread of DHF. The purpose of this research is to analyze the relationship of host and environment behavior to the occurrence of DHF in RW 15. This research using cross sectional design. Random sampling using the guy method. How to calculate the method guy is 10% of the population so that obtained a sample of 78 respondents. Primary data collection technique is done through indepth interview and filling questionnaire. Secondary data collection was obtained from Wonokusumo Puskemas report and report from Surabaya City Health Office. The research was conducted in RW 15. The result of bivariate statistic test showed significant relation between knowledge, attitude, action and environment against DHF incidence with p> α, 0,00> 0,05. The conclusion of this research is that there is host and environment interaction to DHF incidence. Suggestion of this research is procurement of work program every month, independent larvae monitoring movement by society and 3M movement plus every week on Thursday and procurement of training of cadre jumantik about how and regulation of dosage of abate powder according to dose.Keywords: host behavior, environment, disease Dengue Hemorrhagic Fever

scholarly journals Spatial Analysis of Childhood Tuberculosis and Social Determinants in Bandar Lampung

2020 ◽  
Vol 202 ◽  
pp. 12006
Author(s):  
Dyah Wulan Sumekar Rengganis Wardani ◽  
Endro Prasetyo Wahono
Keyword(s):  
Spatial Analysis ◽  
Population Density ◽  
Social Determinants ◽  
Community Health Centers ◽  
Secondary Data ◽  
Cross Sectional Study ◽  
Childhood Tuberculosis ◽  
Cross Sectional ◽  
Control Programs ◽  
Childhood Tb

Childhood tuberculosis is an overlooked aspect of the current tuberculosis epidemics; even the incidence is increasing and may influence children's growth and development. Several researches have studied social determinants as TB risk factors, but only a few researches have studied spatial analysis of childhood tuberculosis and social determinants. This research aimed to study spatial analysis of childhood TB and social determinants in Bandar Lampung, Indonesia. This research was cross sectional study which involved five community health centers that have childhood TB cases. Population of this research was all childhood tuberculosis cases in the study site. Sample of this research was 73 cases. Variables of this research were samples’ residence geographical coordinates and social determinants (population density and proportion of poor family) of the related sub districts. Data was collected through CHSs’ and sub districts’ secondary data which then analyzed using overlay spatial analysis. The results showed that childhood TB tend to group in middle to high population density and middle proportion of poor families areas. Therefore, regarding in reducing childhood TB incidence, TB control programs should elaborate social determinants actions in areas with low social determinants.

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