Model Program Demam Berdarah Dengue. Peran Serta Masyarakat, serta Sanitasi Dasar di Kota Bandung

Respati, Titik; Raksanagara, Ardini; Djuhaeni, Henni

doi:10.15395/mkb.v50n3.1239

Cited by 3 publications

(2 citation statements)

References 9 publications

(19 reference statements)

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“…In addition, people with low incomes are suspected to have poor sanitation facilities and infrastructure resulting in poor environmental hygiene. As is well known that the DHF vector likes to breed in standing water (15).…”

Section: Methodsmentioning

confidence: 99%

Education Can Improve Community Participation in the Control of Dengue Haemorrhagic Fever in Cicadas and Babakan Penghulu Village, Bandung City, a Case of Participation Measurement Using the Method of Arnstein

Indriyani

Soemirat

2020

JKL

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Introduction: According to the Ministry of Health, cases of dengue haemorrhagic fever (DHF) increased from 2 to 34 provinces during 46 years, hence, Indonesia had not been able to control DHF. While specific drugs and vaccines against DHF virus are not yet available, the only way to control DHF is by controlling the vector. Sustainable Development Goals (SDG’s) program on vector borne diseases requires a reduction of mortality by 75% and incidences by 60% in 2030. Vector control in Indonesia is being done through community participation such as draining, closing, and recycling used goods, and activities to avoid mosquito bites known as “3M Plus”. There is, therefore, a need to measure the degree of community participation being done so far and the factors that influence it. Methods: Measurement of the level of community participation was carried out using the method of Arnstein (A Ladder of Citizen Participation). The variables used in the measurements were the understanding, the benefits, and the implementation of participation in the 3M Plus program. The research location was chosen based on the mapping of areas with high and low DHF incidence. Samples were determined by the Slovin method, stratified by permanent, semi permanent, and non permanent houses. Data collection were carried out by interviews. Factors that influence community participation are measured by statistical tests, namely multiple linear regression. Result and Discussion: The largest level of community participation is still at the level of manipulation (no participation) with a percentage of 50.5% in Cicadas and 65.6% in Babakan Penghulu; statistical analysis shows that education education had a significant influence in both villages. Conclusion: There has been no actual community participation yet. Therefore, comprehensive education and counseling are needed for the entire community. Considering that breeding places are not only found in settlements, it is necessary to collaborate with other sectors, such as agriculture, environment, fisheries, irrigation, finance, tourism, transportation, urban areas, livestock, forestry, and infrastructure.

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Section: Methodsmentioning

confidence: 99%

Education Can Improve Community Participation in the Control of Dengue Haemorrhagic Fever in Cicadas and Babakan Penghulu Village, Bandung City, a Case of Participation Measurement Using the Method of Arnstein

Indriyani

Soemirat

2020

JKL

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“…Currently, guidelines for diagnosis, treatment, prevention, and control of DHF are available at all health centers (Puskesmas). 10 The research used a Poisson kriging model, the method was used to determine the risk level of Dengue Fever (DHF) incidence in the selected region, indicating that Bandung City is on DHF alert. 11 An overview of DHF cases and prevention attempts have been made, but what is missing from the literature is the epidemiological determinants and trend analysis of DHF disease in Bandung City.…”

Section: Introductionmentioning

confidence: 99%

Epidemiological Determinants and Trend Analysis of Dengue Fever Disease

Sutriyawan,

Suherdin,

Kurniawati

2024

woh

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Bandung City is an endemic area for dengue fever, with 4,424 cases and 14 deaths. This research aims to analyze the epidemiological determinants and see the trend analysis to forecast dengue hemorrhagic fever cases. This research used a case-control design. The case population was those who suffered from dengue hemorrhagic fever, while the control population was those who did not suffer from dengue hemorrhagic fever. A sample of 510 respondents was taken. Sampling using a purposive sampling technique. Epidemiological determinants were analyzed using the chi-square test and logistic regression, while disease trends used exponential smooth analysis. The related results were education (p=0.036), presence of mosquito larvae (p=0.000), container material (p=0.002), water container (p=0.025), mosquito wire (p=0.010), presence of solid waste (p=0.002), mosquito repellent plants (p=0.041), mobility (p=0.004). The most dominant epidemiological determinant was the presence of mosquito larvae (OR=3.2). The incidence trend of dengue fever is increasing over the next 5 years. The research concluded that the epidemiological determinants of dengue fever were education, the presence of mosquito larvae, container materials, water collection objects, mosquito wires, the presence of solid waste, and mosquito repellent plants. The presence of mosquito larvae was the dominant factor. There is an increase in dengue fever cases over the next 5 years. It is recommended to increase the larva-free rate by optimizing Jumantik cadres and conducting epidemiological surveillance.

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Predictive Index Using Receiver Operating Characteristic and Trend Analysis of Dengue Hemorrhagic Fever Incidence

Sutriyawan

Herdianti²,

Cakranegara

et al. 2022

Open Access Maced J Med Sci

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BACKGROUND: The city of Bandung is an endemic area of dengue hemorrhagic fever (DHF). Increased cases of DHF in the area have influenced the mortality rate. The number of deaths due to DHF in 2019 was 14 people. AIM: This study aims to analyze the epidemiological determinants and to observe the trend of analysis to project DHF cases. MATERIALS AND METHODS: This study used a case-control design. The case population is those who have DFH, while the control population is those who do not have DHF. There were 510 respondents included in this study. Samples were taken using a purposive sampling technique. Epidemiological determinants were analyzed using the Chi-square test and logistic regression, while the trend of the disease was analyzed using exponential smooth analysis. RESULTS: The result of this study showed that education (p = 0.036), the presence of mosquito larvae (p = 0.000), container materials (p = 0.002), water containers (p = 0.025), mosquito nets (p = 0.010), the presence of solid waste (p = 0.002), mosquito repellent plants (p = 0.041), and mobility (0.004). The most dominant epidemiological determinant was the presence of mosquito larvae (odds ratio = 3.2). The predictive index of DHF can predict people who are sick with DHF among the sick population is 68.6%. CONCLUSION: This study concluded that the significant epidemiological determinants are education, the presence of mosquito larvae, container materials, water containers, mosquito nets, the presence of solid waste, and mosquito repellent plants. Among those determinants, the presence of mosquito larvae is the most dominant factor. This study also concluded that there will be an increase in DFH cases over the next 5 years. Hence, it is important to increase larvae free index by empowering Kader Juru Pemantau Jentik (JUMANTIK) in Bandung and conducting epidemiological surveillance.

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Model Program Demam Berdarah Dengue. Peran Serta Masyarakat, serta Sanitasi Dasar di Kota Bandung

Cited by 3 publications

References 9 publications

Education Can Improve Community Participation in the Control of Dengue Haemorrhagic Fever in Cicadas and Babakan Penghulu Village, Bandung City, a Case of Participation Measurement Using the Method of Arnstein

Education Can Improve Community Participation in the Control of Dengue Haemorrhagic Fever in Cicadas and Babakan Penghulu Village, Bandung City, a Case of Participation Measurement Using the Method of Arnstein

Epidemiological Determinants and Trend Analysis of Dengue Fever Disease

Predictive Index Using Receiver Operating Characteristic and Trend Analysis of Dengue Hemorrhagic Fever Incidence

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