Climate Variability and Dengue Hemorrhagic Fever in Hanoi, Viet Nam, During 2008 to 2015

2018 ◽  
Vol 30 (6) ◽  
pp. 532-541 ◽  
Author(s):  
Tran Thi Tuyet-Hanh ◽  
Nguyen Nhat Cam ◽  
Le Thi Thanh Huong ◽  
Tran Khanh Long ◽  
Tran Mai Kien ◽  
...  
Keyword(s):  
Climate Variability ◽  
Dengue Hemorrhagic Fever ◽  
Warning System ◽  
Secondary Data ◽  
Hemorrhagic Fever ◽  
Health Staff ◽  
Viet Nam ◽  
Intervention Measures ◽  
Epidemic Period ◽  
Monthly Total

Dengue fever/dengue hemorrhagic fever (DF/DHF) has been an important public health challenge in Viet Nam and worldwide. This study was implemented in 2016-2017 using retrospective secondary data to explore associations between monthly DF/DHF cases and climate variables during 2008 to 2015. There were 48 175 DF/DHF cases reported, and the highest number of cases occurred in November. There were significant correlations between monthly DF/DHF cases with monthly mean of evaporation ( r = 0.236, P < .05), monthly relative humidity ( r = −0.358, P < .05), and monthly total hours of sunshine ( r = 0.389, P < .05). The results showed significant correlation in lag models but did not find direct correlations between monthly DF/DHF cases and monthly average rainfall and temperature. The study recommended that health staff in Hanoi should monitor DF/DHF cases at the beginning of epidemic period, starting from May, and apply timely prevention and intervention measures to avoid the spreading of the disease in the following months. A larger scale study for a longer period of time and adjusting for other potential influencing factors could better describe the correlations, modelling/projection, and developing an early warning system for the disease, which is important under the impacts of climate change and climate variability.

scholarly journals Variabilitas Iklim dengan Kejadian Demam Berdarah Dengue di Kota Tangerang

2020 ◽  
Vol 3 (1) ◽  
pp. 8
Author(s):  
Citra Puspa Juwita
Keyword(s):  
Time Series ◽  
Climate Variability ◽  
Dengue Hemorrhagic Fever ◽  
Univariate Analysis ◽  
Secondary Data ◽  
Hemorrhagic Fever ◽  
Bivariate Analysis ◽  
Strong Correlations ◽  
Short Period ◽  
Coefficient Corrélation

Dengue Hemorrhagic Fever (DHF) is an endemic disease of Tangerang City with fluctuating case month by month. DHF is a disease that caused by dengue virus and transmitted by Ae. Aegypti, and also have relation with climate variability conditions. This research is using secondary data with ecological study design by using time series, to see the correlations between climate variability (temperature, precipitation and humidity) with hemorarhagic dengue fever cases in Tangerang City in the period 2004-2013. This research was using univariate analysis method and bivariate analysis with correlation and linear regression.  This study revealed that significant correlation between dengue hemorrhagic fever cases with climate variability; in moderate correlation which correlation between dengue hemorrhagic fever with temperature has coefficient correlation 0,314 and p = 0.004; correlation between dengue hemorrhagic fever with precipitation has coefficient correlation 0,355 and p = 0.000; and correlation between dengue hemorrhagic fever with humidity has coefficient correlation 0,298 and p = 0.002. Strong correlations can be seen with a short period by year. Significant relationship on climate variability (temperature, rainfall and humidity) with the incidence of DHF period of 10 years (2004-2013) with moderate closeness.Demam Berdarah Dengue (DBD) merupakan penyakit yang endemis di Kota Tangerang dengan kejadian yang berfluktuasi per bulannya. Penyakit yang disebabkan oleh virus dengue yang ditularkan oleh nyamuk Ae. aegypti ini akan tinggi ketika musim penghujan tiba dan akan berangsur-angsur menurun ketika tidak musim penghujan. Dengan menggunakan data sekunder yang tersedia, penelitian ini menggunakan desain studi ekologi, berdasarkan urutan waktu (time series) untuk melihat adakah hubungan antara variabilitas iklim (suhu, curah hujan dan kelembaban) dengan kejadian demam berdarah dengue di Kota Tangerang. Analisis yang digunakan adalah univariat dengan menggunakan distribusi frekuensi dan analisis bivariat dengan uji korelasi dan regresi linear. Berdasarkan hasil penelitian dinyatakan bahwa adanya hubungan yang bermakna antara kejadian demam berdarah dengue dengan variabilitas iklim dengan keeratan hubungan yang sedang yaitu pada hubungan antara kejadian demam berdarah dengue dengan suhu memiliki koefesien korelasi 0,314 dan nilai p = 0,004; hubungan antara kejadian demam berdarah dengue dengan curah hujan memiliki koefesien korelasi 0,355 dan nilai p = 0,000; dan hubungan antara kejadian demam berdarah dengue dengan kelembaban memiliki koefesien korelasi 0,298 dan p = 0,002. Hubungan yang erat dapat dilihat dengan periode waktu yang pendek yaitu per tahun. Hubungan yang bermakna pada variabilitas iklim (suhu, curah hujan dan kelembaban) dengan kejadian DBD periode 10 tahun (2004-2013) dengan keeratan sedang.

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 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 Transmission of dengue hemorrhagic fever and climate variability in Jakarta

2019 ◽  
Vol 314 ◽  
pp. 012071
Author(s):  
Haryoto Kusnoputranto ◽  
Margareta Maria Sintorini ◽  
Suyud Warno Utomo ◽  
Nurusysyarifah Aliyyah ◽  
Epi Ria Kristina Sinaga ◽  
...  
Keyword(s):  
Climate Variability ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever

scholarly journals HUBUNGAN KADAR HEMOGLOBIN DENGAN JUMLAH TROMBOSIT PADA PASIEN DEMAM BERDARAH DENGUE

2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Restiayuh Patandianan
Keyword(s):  
Dengue Hemorrhagic Fever ◽  
Clinical Symptoms ◽  
Population Sample ◽  
Secondary Data ◽  
Hemorrhagic Fever ◽  
Normal Weight ◽  
Weight Changes ◽  
Cross Sectional ◽  
Platelet Counts ◽  
The Relationship

Abstract : Dengue hemorrhagic fever (DHF) is an infectious disease caused by the dengue virus and transmitted by Aedes mosquitoes. DHF affects children tend to further increase the morbidity and mortality that needed more attention, both clinical symptoms and laboratory results. In laboratory hemoglobin levels and platelet counts normal weight changes corresponding degree of illness. This research was an analytic retrospective with a cross-sectional. Data sources were secondary data from medical records at BLU RSUP Prof. Dr. R. D. Kandou Manado. Samples were obtained 56 patients who met the inclusion criteria DHF of the total population sample of 137 patients. The results of the data obtained is then processed into statistical data using parametric test (Pearson test) for found the relationship between hemoglobin levels with platelet counts with α = 0,05. . It was found that there was no relationship between hemoglobin levels with platelet counts (p=0,097). Conclusion In this study there was no significant correlation between hemoglobin levels with platelet counts in DHF.Keywords: dengue hemorrhagic fever, hemoglobin levels, platelet counts.Abstrak: Demam berdarah dengue merupakan penyakit infeksi yang disebabkan oleh virus dengue dan ditularkan oleh nyamuk Aedes. DBD yang menyerang anak-anak cenderung lebih meningkatkan morbiditas dan mortalitas sehingga diperlukan perhatian lebih, baik pada gejala klinis maupun hasil laboratorium. Pada pemeriksaan laboratorium kadar hemoglobin dan jumlah trombosit biasa mengalami perubahan. Penelitian ini bersifat analitik retrospektif dengan pendekatan cross sectional. Sumber data merupakan data sekunder dari rekam medik Depertemen Ilmu Kesehatan Anak di BLU RSUP Prof. Dr. R. D Kandou Manado. Sampel penilitian diperoleh 56 pasien DBD yang memenuhi kriteria inklusi dari total populasi sampel 137 pasien. Hasil penelitian diuji menggunakan uji parametrik (Uji Pearson), untuk mengetahui hubungan kadar hemoglobin dengan jumlah trombosit dengan α = 0,05. Uji Pearson menunjukkan tidak ada hubungan antara kadar hemoglobin dengan jumlah trombosit (p=0,097). Disimpulkan bahwa tidak ada hubungan antara kadar hemoglobin dengan jumlah trombosit.Kata Kunci: demam berdarah dengue, hemoglobin, trombosit

scholarly journals Hantavirus pulmonary syndrome outbreaks associated with climate variability in Northwestern Argentina, 1997–2017

2020 ◽  
Vol 14 (11) ◽  
pp. e0008786
Author(s):  
Ignacio Ferro ◽  
Carla M. Bellomo ◽  
Walter López ◽  
Rocío Coelho ◽  
Daniel Alonso ◽  
...  
Keyword(s):  
South America ◽  
Climate Variability ◽  
Climatic Factors ◽  
Climatic Variability ◽  
Warning System ◽  
Hemorrhagic Fever ◽  
Hantavirus Pulmonary Syndrome ◽  
Surveillance Program ◽  
Northwestern Argentina ◽  
The Relationship

Background Rodent-borne hantaviruses (genus Orthohantavirus) are the etiologic agents causing two human diseases: hemorrhagic fever with renal syndrome (HFRS) in Euroasia; and hantavirus pulmonary syndrome (HPS) in North and South America. In South America fatality rates of HPS can reach up to 35%–50%. The transmission of pathogenic hantaviruses to humans occurs mainly via inhalation of aerosolized excreta from infected rodents. Thus, the epidemiology of HPS is necessarily linked to the ecology of their rodent hosts and the contact with a human, which in turn may be influenced by climatic variability. Here we examined the relationship between climatic variables and hantavirus transmission aim to develop an early warning system of potential hantavirus outbreaks based on ecologically relevant climatic factors. Methodology and main findings We compiled reported HPS cases in northwestern Argentina during the 1997–2017 period and divided our data into biannual, quarterly, and bimestrial time periods to allow annual and shorter time delays to be observed. To evaluate the relationship of hantavirus transmission with mean temperature and precipitation we used dynamic regression analysis. We found a significant association between HPS incidence and lagged rainfall and temperature with a delay of 2 to 6 months. For the biannual and quarterly models, hantavirus transmission was positively associated with lagged rainfall and temperature; whereas the bimestrial models indicate a direct relationship with the rainfall but inverse for temperature in the second lagged period. Conclusions/Significance This work demonstrates that climate variability plays a significant role in the transmission of hantavirus in northwestern Argentina. The model developed in this study provides a basis for the forecast of potential HPS outbreaks based on climatic parameters. Our findings are valuable for the development of public health policies and prevention strategies to mitigate possible outbreaks. Nonetheless, a surveillance program on rodent population dynamics would lead to a more accurate forecast of HPS outbreaks.

Climate variability and dengue hemorrhagic fever in Southeast Sulawesi Province, Indonesia

2018 ◽  
Vol 25 (15) ◽  
pp. 14944-14952 ◽  
Author(s):  
Ramadhan Tosepu ◽  
Kraichat Tantrakarnapa ◽  
Kanchana Nakhapakorn ◽  
Suwalee Worakhunpiset
Keyword(s):  
Climate Variability ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever

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 Forecasting prevalence of dengue hemorrhagic fever using ARIMA model in Sulawesi Tenggara Province, Indonesia

2021 ◽  
Vol 7 (2) ◽  
pp. 75-86
Author(s):  
Mistawati Mistawati ◽  
Yasnani Yasnani ◽  
Hariati Lestari
Keyword(s):  
Dengue Hemorrhagic Fever ◽  
Analytical Study ◽  
Arima Model ◽  
Secondary Data ◽  
Hemorrhagic Fever ◽  
Percentage Error ◽  
Aedes Mosquitoes ◽  
Health Practitioners ◽  
The Tropics ◽  
Public Health Practitioners

Background: Dengue hemorrhagic fever occurs through the bite of Aedes mosquitoes, primarily Aedes aegypti, carrying dengue viruses. In recent decades, the risk increased dramatically, not only in the tropics but also in subtropical regions.Objective: This study aimed to determine the best model for forecasting dengue hemorrhagic fever prevalence in Sulawesi Tenggara, Indonesia.Method: This was a retrospective analytical study using secondary data from the Sulawesi Tenggara Provincial Health Office from 2014 to 2019. ARIMA model was used for data analysis.Results: ARIMA (0.1.1)(0.1.1)4 was selected as the best-suited model. Based on the forecast, there would be an increase in dengue hemorrhagic fever prevalence over the next two years, with a mean absolute percentage error value of 4.41%.Conclusion: Forecasting results indicated that the peaks of dengue hemorrhagic fever cases would be in March, July, and November, and the increase will occur in the same months each year. Also, forecasting results were very good. Public health practitioners can use this model to prevent and eradicate dengue hemorrhagic fever. The ARIMA model would also be useful for nursing practice in caring for patients with dengue fever in the future.

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. 

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