scholarly journals REFRESHING KNOWLEDGE ON DENGUE HEMORRHAGIC FEVER SURVEILLANCE FOR DENGUE PROGRAM OFFICERS AT PUBLIC HEALTH CENTERS

2019 ◽  
Vol 6 (2) ◽  
pp. 180
Keyword(s):  
Public Health ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Health Centers

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

COMMUNITY KNOWLEDGE OF DENGUE FEVER IN ALLAMA IQBAL TOWN, LAHORE

2020 ◽  
pp. 52-58
Author(s):  
OJS Admin
Keyword(s):  
Public Health ◽  
Dengue Fever ◽  
Dengue Hemorrhagic Fever ◽  
Health Problem ◽  
Public Health Problem ◽  
Hemorrhagic Fever ◽  
Community Knowledge

Globally, dengue is an emerging serious public health problem with a million infections occurring annually including significant number of dengue hemorrhagic fever cases.

scholarly journals Autokorelasi Spasial Demam Berdarah Dengue di Kecamatan Samarinda Utara, Kota Samarinda

2020 ◽  
Vol 19 (2) ◽  
pp. 119-126
Author(s):  
Syamsir Syamsir ◽  
Andi Daramusseng ◽  
Rudiman Rudiman
Keyword(s):  
Public Health ◽  
Spatial Autocorrelation ◽  
Health Center ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Cluster Sampling ◽  
Spatial Autocorrelation Analysis ◽  
Z Score ◽  
Autocorrelation Analysis ◽  
Moran's I

Latar belakang: Demam Berdarah Dengue (DBD) masih menjadi masalah kesehatan masyarakat. Indonesia menjadi salah satu negara yang setiap tahunnya ditemukan kasus DBD. Program pengendalian DBD masih kurang maksimal karena puskesmas belum mampu memetakan wilayah rentan DBD. Penelitian ini bertujuan untuk mengetahui pola sebaran DBD di Kecamatan Samarinda Utara dengan menggunakan autokorelasi spasial.Metode: Penelitian ini dilaksanakan di kelurahan yang berada pada wilayah kerja Puskesmas Lempake, Kecamatan Samarinda Utara. Sampel penelitian dipilih berdasarkan metode cluster sampling. Berdasarkan kriteria jumlah kasus tertinggi maka kelurahan di Kecamatan Samarinda Utara yang representatif untuk dijadikan cluster pada penelitian ini yaitu kelurahan yang berada pada wilayah kerja Puskesmas Lempake. Analisis yang digunakan pada penelitian ini yaitu Spatial Autocorrelation Analysis dengan menggunakan metode Moran’s I. Spatial Autocorrelation Analysis digunakan untuk mengetahui apakah terdapat hubungan antar titik dan arah hubungannya (postif atau negatif).Hasil: Nilai Z-score atau Z hitung = 3,651181 dengan nilai kritis (Z α/2) sebesar 2,58. Ini menunjukkan bahwa Z-score > Z α/2 (3,6511 > 2,58) sehingga Ho ditolak. Terdapat autokorelasi spasial pada sebaran kasus DBD di wilayah kerja Puskesmas Lempake. Sebaran kasus DBD di wilayah kerja Puskesmas Lempake termasuk kategori clustered atau berkelompok pada lokasi tertentu. Moran’s Index (I) = 0,124420 artinya I > 0. Ini menunjukkan bahwa pola sebaran DBD di wilayah kerja Puskesmaas Lempake merupakan autokorelasi positif.    Simpulan: Pola sebaran kasus DBD di Kecamatan Samarinda Utara yaitu clustered. Autokorelasi spasial yang dihasilkan yaitu autokorelasi positif.  ABSTRACTTitle: Spatial Autocorrelation of Dengue Hemorrhagic Fever  in North Samarinda district, Samarinda CityBackground: Dengue Hemorrhagic Fever (DHF) is still a public health problem. Indonesia is one of the countries where DHF cases are found every year. The DHF control program is still less than optimal because the public health center has not been able to map the DHF vulnerable areas. This study aims to determine the pattern of DHF distribution in the District of North Samarinda by using spatial autocorrelation.Method: This research was conducted in a village located in the working area of the Lempake Health Center, Samarinda Utara district. The research sample was chosen based on the cluster sampling method. Based on the criteria for the highest number of cases, the representative village to be clustered in this study are the village within the working area of the Lempake Health Center. The analysis used in this study is spatial autocorrelation nalysis using the Moran’s I. Spatial autocorrelation Analysis method is used to determine whether there is a relationship between the point and direction of the relationship (positive or negative).Result: Z-score or Z count = 3.651181 with a critical value (Z α / 2) of 2.58. This shows that Z-score> Z α / 2 (3.6511> 2.58) so that Ho is rejected. There is a spatial autocorrelation in the distribution of dengue cases in the working area of the Lempake Health Center. The distribution of dengue cases in the working area of Lempake Health Center is classified as clustered or grouped in certain locations. Moran’s Index (I) = 0.124420 means I> 0. This shows that the pattern of DHF distribution in the work area of Lempake Health Center is a positive autocorrelation.Conclusion: The pattern of distribution of dengue cases in the District of North Samarinda is clustered. The resulting spatial autocorrelation is positive autocorrelation. 

scholarly journals Aplikasi Autoregressive Integrated Moving Average (ARIMA) untuk Meramalkan Jumlah Demam Berdarah Dengue (DBD) di Puskesmas Mulyorejo

2017 ◽  
Vol 5 (2) ◽  
pp. 177
Author(s):  
Luluk Nor Kasanah
Keyword(s):  
Public Health ◽  
Health Center ◽  
Dengue Hemorrhagic Fever ◽  
Moving Average ◽  
Arima Model ◽  
Hemorrhagic Fever ◽  
Small Error ◽  
Least Square ◽  
Public Health Center ◽  
Forecasting Method

ARIMA was one of a forecasting method of time series if independent variable be ignored, it would use the past and present value as a dependent variable. The accuracy of ARIMA forecasting method was good to produce short-term forecasting. The advantages of ARIMA method than other method was this method didn’t require the data pattern so it could be used for all kinds of data pattern, so it could be applied in cases of dengue hemorrhagic fever (DHF) in Mulyorejo Public Health Center. This study was to determine the best forecasting model as well as to predict and analyze the results of forecasting number of dengue hemorrhagic fever in Mulyorejo Public Health Center. The data was monthly number of dengue hemorrhagic fever patients in Mulyorejo Public Health Center from January 2010 to February 2016 (a total of 74 plots data). The results were the number of dengue hemorrhagic fever cases in Mulyorejo Public Health Center could be predicted with ARIMA model (1,0,0), thought based on diagnostics test the ARIMA model met all tests but the forecasting number of dengue hemorrhagic fever cases in years 2016–2017 showed a downward trend, and in 2017 was fl at, while MAPE and MAE amounted to 63.026% and 1.89%, the value of the error was large enough which indicated that less accurate forecasting. DHF data had a lot of missing data caused big value of MAPE and MAE so must be transformed by series mean method. DHF data was trend and seasonal so winters exponential smoothing with ordinary least square was better than ARIMA to get small error.

scholarly journals Evaluation of DHF Surveillance Based on Attributes in Pasuruan District

2019 ◽  
Vol 3 (1) ◽  
pp. 62-66
Author(s):  
Ahmad Zamzam Hariro ◽  
Chatarina Umbul Wahyuni ◽  
Supa’at Setia Hadi
Keyword(s):  
Public Health ◽  
Health Center ◽  
Hemorrhagic Fever ◽  
Document Analysis ◽  
Descriptive Study ◽  
Evaluation Study ◽  
Population Based ◽  
Health Centers ◽  
The Public ◽  
Funding Sources

Dengue Hemorrhagic Fever (DHF) is one of health problems in Pasuruan that the number of sufferers was increase. Those problems would not actually happen if the surveillance gose well. The purpose of this study was to describe the problem of DHF surveillance based on attributes as well as provide an alternative solution. This research was a descriptive study with evaluation study design. This study was conducted in 16 Public Health Centers and health office of Pasuruan District. Data were collected through interviews with DHF officers in 16 PHC and health office of Pasuruan District, using questionnaires, and document analysis against DHF data reports. The problems was not simple in feedback, not acceptable in feedback, and not on time in feedback because the feedback only give every 3 months. Data was not representative because data can’t describe population based on time and place. Data was unstable because there were 41.25% respondent that loss of data. Provide personal computers for program officers is needed to keep the data from lost and always available. Motivate the public health centers to form an independent jumantik cadre with funding sources from public health center or sub district for optimal PSN and data reports. Keywords: DHF, Surveillance, Attributes

scholarly journals Demam Berdarah Dengue di Perdesaan

2012 ◽  
Vol 7 (3) ◽  
pp. 120
Author(s):  
Erna Kusumawardani ◽  
Umar Fahmi Achmadi
Keyword(s):  
Dengue Hemorrhagic Fever ◽  
Rural Areas ◽  
Case Fatality Rate ◽  
Case Series ◽  
Case Fatality ◽  
Hemorrhagic Fever ◽  
Health Centers ◽  
Fatality Rate ◽  
Primary Health ◽  
Disease Occurrence

Berbeda dengan beberapa negara, laporan kejadian kasus demam berdarah dengue (DBD) di perdesaan Indonesia belum banyak dilaporkan. Penelitian ini bertujuan untuk memberikan gambaran kejadian DBD di perdesaan di wilayah perbatasan Kabupaten Bogor dan Kabupaten Lebak, Jawa Barat. Penelitian ini menggunakan desain studi kasus seri dengan sampel seluruh penderita DBD yang tercatat di puskesmas pada periode bulan Januari 2011 sampai April 2012. Hasil penelitian menemukan 18 kasus DBD dan 4 kasus kematian (case fatality rate, CFR = 22%). Sebagian besar kasus berjenis kelamin laki-laki (58,3%), berusia ³ 15 tahun (58,3%), tidak bekerja/ibu rumah tangga (50%), melakukan mobilitas (66,7%), mempunyai pengetahuan yang baik (66,7%), berperilaku kurang baik (83,3%), dan mempunyai tempat penampungan air (100%). Lima dari 12 kasus DBD (41,7%) diduga merupakan kasus lokal. Dari empat puskesmas (57,1%) yang melakukan kegiatan penyelidikan epidemiologi DBD terindikasi bahwa kemungkinan besar telah terjadi transmisi DBD di wilayah perdesaan daerah perbatasan Kabupaten Bogor dan Kabupaten Lebak.Kata kunci: Demam berdarah dengue, perdesaan, transmisiAbstract Dengue hemorrhagic fever (DHF) has long been reported as disease affecting predominantly among urban populations. However, several recent studies suggest that DHF has spread into rural area. This study aims to describe disease occurrence of DHF in border rural areas of Bogor – Lebak. The study design is case series. The sample of this study was all patients with confirmed DHF admitted to public health centers between January 2011 and April 2012. The study was conducted in April to May 2012. The results showed that there were 19 DHF cases and four out of 18 cases died (case fatality rate, CFR was 22%). Out of 12 eligible respondents, most of them were male (58,3%), aged ³ 15 years (58,3%), unemployed/housewife (50%), conducting mobility (66,7%), having good knowledge (66,7%), behave poorly (83,3%), and having water containers (100%). Five of 12 DHF cases (41,7%) were suspected as local cases. Four primary health centers (57,1%) were able to perform PE DBD (DHF Epidemiological Investigation). These results indicate that the transmission of DHF in border rural areas of Bogor – Lebak, most likely has occurred.Key words: Dengue hemorrhagic fever, rural, transmission

scholarly journals Dengue and Dengue Hemorrhagic Fever

1998 ◽  
Vol 11 (3) ◽  
pp. 480-496 ◽  
Author(s):  
Duane J. Gubler
Keyword(s):  
Public Health ◽  
Dengue Fever ◽  
Dengue Hemorrhagic Fever ◽  
Prevention And Control ◽  
Hemorrhagic Fever ◽  
Geographic Region ◽  
Control Programs ◽  
The Past ◽  
Public Health Officials ◽  
And Control

SUMMARY Dengue fever, a very old disease, has reemerged in the past 20 years with an expanded geographic distribution of both the viruses and the mosquito vectors, increased epidemic activity, the development of hyperendemicity (the cocirculation of multiple serotypes), and the emergence of dengue hemorrhagic fever in new geographic regions. In 1998 this mosquito-borne disease is the most important tropical infectious disease after malaria, with an estimated 100 million cases of dengue fever, 500,000 cases of dengue hemorrhagic fever, and 25,000 deaths annually. The reasons for this resurgence and emergence of dengue hemorrhagic fever in the waning years of the 20th century are complex and not fully understood, but demographic, societal, and public health infrastructure changes in the past 30 years have contributed greatly. This paper reviews the changing epidemiology of dengue and dengue hemorrhagic fever by geographic region, the natural history and transmission cycles, clinical diagnosis of both dengue fever and dengue hemorrhagic fever, serologic and virologic laboratory diagnoses, pathogenesis, surveillance, prevention, and control. A major challenge for public health officials in all tropical areas of the world is to devleop and implement sustainable prevention and control programs that will reverse the trend of emergent dengue hemorrhagic fever.

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