Climate variability (temperature, humidity, rain intensity and wind speed) and dengue hemorrhagic fever case correlations in Depok City in 2009-2018

Increased dengue cases occur throughout Southeast Asia. Semarang Health Office held programs to control dengue,which are Rainfall monitoring,Routine Mosquito Larvae Monitoring Program, One House One Larvae Observer Movement, And Students look For Mosquito Larvae Movement. To assess whether the programs reducing Dengue Hemorrhagic Fever caseswere effective. The method used were correlation analysis. Data obtained from every region in Semarang and reported to Semarang Health Office. Average Dengue Hemorrhagic Fever case was 79.5±13.69. Correlationtest results between dengue cases with rainfall was r=0.951;p=0.049, Larvae Absence Rate from Routine Mosquito Larvae Monitoring Program was r=0.648;p=0.352, with Larvae Absence Rate from One House One Larvae Observer Movement was r=0.804;p=0.196, with Larvae Absence Rate from Students Search For Mosquito Larvae Movement was r=0.961;p=0.039. Correlation between rainfall and Larvae Absence Rate from Students Search For Mosquito Larvae Movement with Dengue Hemorrhagic Fever case were significant and had positive strong correlation,correlation test results of Larvae Absence Rate from Routine Mosquito Larvae Program and One House One Larvae Observer Movement had strong correlation but were not significant.

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PENGETAHUAN PASIEN TENTANG PENYAKIT DEMAM BERDARAH DENGUE DI POLIKLINIK UMUM PUSKESMAS POASIA KOTA KENDARI

Jurnal Kesehatan Manarang ◽

10.33490/jkm.v3i1.27 ◽

2018 ◽

Vol 3 (1) ◽

pp. 5

Author(s):

Taamu Taamu ◽

Sitti Rachmi Misbah ◽

Arif Purnama

Keyword(s):

Health Center ◽

Dengue Hemorrhagic Fever ◽

Sampling Technique ◽

Signs And Symptoms ◽

Hemorrhagic Fever ◽

Hemorrhagic Disease ◽

Fever Case ◽

The Public ◽

Sufficient Knowledge ◽

Management Aspect

Dengue hemorrhagic fever is a disease caused by dengue virus that enter into human body through Aedes aegypti mosquito bites. Dengue Hemorrhagic Fever case in Southeast Sulawesi province from January to February 2016 has reached 530 cases with 3 deaths or 0,57%. This study aims to determine the description of patient knowledge about the causes, signs and symptoms, prevention and management of dengue fever. The sample in this research is obtained by accidental sampling technique as many as 82 people from the total population of 821 people who are patients in Public Health Center of Kendari Polyclinic. The results showed that the patient had sufficient knowledge of DHF on the aspect of cause as much as (43,9%), sign and symptom aspect as much (53,66%), prevention aspect as much (50,00%) while the management aspect, (45.12%). The conclusion of this study is that the majority of patients in the Public Polyclinic of Poasia City Health Center have sufficient knowledge on the causal aspects, signs and symptoms and preventive measures against dengue hemorrhagic fever. While in the management aspect of dengue hemorrhagic disease majority of patients have knowledge of good.

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Relationship of Climate, Environmental Health Intervention with the Incident Rate (IR) of Dengue Hemorrhagic Fever Case in North Jakarta, 2017-2019

Archives of Infectious Diseases & Therapy ◽

10.33140/aidt.05.03.03 ◽

2021 ◽

Vol 5 (3) ◽

Keyword(s):

Climate Change ◽

Wind Speed ◽

Environmental Health ◽

Dengue Hemorrhagic Fever ◽

Hemorrhagic Fever ◽

P Value ◽

Incident Rate ◽

Waste Bank ◽

The Relationship ◽

Free Rate

The issue of climate change has been hotly discussed considering its serious impact on various aspects of life, especially health. The negative potential or risk of climate change to health has been seen as a global challenge that can threaten human livelihoods. This climate change has resulted in changing disease patterns in society due to a changing climate and environment. The increase in temperature has the potential to be associated with a significant increase in cases of Dengue Hemorrhagic Fever (DHF). This research was a descriptive with an ecological time series design to describe the frequency and distribution of health problems or the correlation between disease and the factors that influence it. The purpose of this study was to determine the relationship between climate, environmental health interventions and the incidence of dengue fever. The results of climate conditions in North Jakarta in 2017 to 2019 average normal air temperature 28.480C, high humidity 74.94%, medium rainfall 136.37 mm, wind speed classified as low 1.30 knots, active waste bank environment 162.66, DHF incident rate 47.86 below national standards 49/100,000 inhabitants. The results of the bivariate factors associated with IR DHF were humidity p 0.006, larva free rate 0.003, waste bank 0.009, rainfall 0.190, and wind speed 0.474. The final model factors related to IR DHF were humidity p value 0.000, R0.741, R Square 0.550; Rainfall p value 0.005, R 0.407, R Square 0.165, Larvae Free Rate R 0.296, R Square 0.088. The conclusion of these three factors contributed to the incidence of DHF R 0.952 meaning that the relationship was very strong, R Square 0.906 (90.6%) contributed to the IR DHF in North Jakarta. Suggestions in the environment that the humidity was not high around 45%- 60%, larvae free rate < 95%. Precipitation >100 mm DHF have alert.

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Climate Variability and Dengue Hemorrhagic Fever in Ba Tri District, Ben Tre Province, Vietnam during 2004–2014

AIMS Public Health ◽

10.3934/publichealth.2016.4.769 ◽

2016 ◽

Vol 3 (4) ◽

pp. 769-780 ◽

Cited By ~ 4

Author(s):

Le Thi Diem Phuong ◽

◽

Tran Thi Tuyet Hanh ◽

Vu Sinh Nam

Keyword(s):

Climate Variability ◽

Dengue Hemorrhagic Fever ◽

Hemorrhagic Fever

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Impact of Climate Variability and Incidence on Dengue Hemorrhagic Fever in Palembang City, South Sumatra, Indonesia

Open Access Macedonian Journal of Medical Sciences ◽

10.3889/oamjms.2021.6853 ◽

2021 ◽

Vol 9 (E) ◽

pp. 952-958

Author(s):

Minarti Rubel ◽

Chairil Anwar ◽

Irfanuddin Irfanuddin ◽

Chandra Irsan ◽

Ramzi Amin ◽

...

Keyword(s):

Wind Speed ◽

Dengue Hemorrhagic Fever ◽

Climatic Factors ◽

Task Force ◽

Hemorrhagic Fever ◽

Incidence Rates ◽

Cross Sectional ◽

Factor Data ◽

Spearman Test ◽

Rainy Days

Dengue hemorrhagic fever (DHF) is a dengue virus infection transmitted by Aedes spp. Climate has a profound influence on mosquito breeding. Palembang has the highest rate of DHF in South Sumatra. This study aimed to investigate the relationship between the components of climate factors and the incidence of DHF in Palembang. This study was cross-sectional, with an observational analytic approach. The Palembang City Health Office compiled data on DHF incidence rates from 2016 to 2020. Climatic factor data (rainfall, number of rainy days, temperature, humidity, wind speed, sun irradiance) were collected from the Climatology Station Class I Palembang - BMKG Station and Task Force that same year. The Spearman test was used to conduct the correlation test. Between 2016 and 2020, there were 3,398 DHF patients. From January to May, DHF increased. There was a significant correlation between rainfall (r = 0.320; p = 0.005), number of rainy days (r = 0.295; p = 0.020), temperature (r = 0.371; p = 0.040), and humidity (r = 0.221; p = 0.024), wind speed (r= 0.76; p = 0.492), and sunlight (r = 0.008; p = 0.865). Rainfall, the number of rainy days, and temperature were three climatic factors determining the increase in dengue incidence in Palembang.

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Climate Variability and Dengue Hemorrhagic Fever in Surabaya, East Java, Indonesia

Indian Journal of Public Health Research & Development ◽

10.37506/v11/i2/2020/ijphrd/194770 ◽

2020 ◽

Vol 11 (2) ◽

pp. 131

Author(s):

Sandra Choi Ning Tang ◽

Musofa Rusli ◽

Pudji Lestari

Keyword(s):

Climate Variability ◽

Dengue Hemorrhagic Fever ◽

Hemorrhagic Fever

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Variabilitas Iklim dengan Kejadian Demam Berdarah Dengue di Kota Tangerang

Gorontalo Journal of Public Health ◽

10.32662/gjph.v3i1.914 ◽

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.

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

Asia Pacific Journal of Public Health ◽

10.1177/1010539518790143 ◽

2018 ◽

Vol 30 (6) ◽

pp. 532-541 ◽

Cited By ~ 3

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.

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