Dengue Fever Cases Research Articles

Impact of compound warm and wet events on dengue fever infection in South and Southeast Asian countries

BackgroundMultiple studies have reported the profound influence of various climate factors on dengue fever infection, while the effects of joint exposure to warm and wet environment, a condition favouring dengue vectors, on disease transmission were less evaluated. This study aims to investigate the impact of various compound temperature, rainfall, and relative humidity exposures on dengue fever infection in the South and Southeast Asia regions. MethodsWeekly dengue fever surveillance data from 2012 to 2020 were collected from 48 locations in four countries named Singapore (1 location), Sri Lanka (15 locations), Malaysia (9 locations), and Thailand (23 locations, with 11 locations having different study periods). The distributed lag non-linear models were built to assess the impacts of compound temperature, rainfall, and relative humidity exposures on dengue fever infection risks. ResultsA total of 1,359,993 dengue fever cases were reported with 9.33%, 24.02%, 48.73%, and 17.91% cases contributed by Singapore, Sri Lanka, Malaysia, and Thailand, respectively. Compared to non-warm-non-wet, compound warm-wet was associated with an increased dengue risk (RR:1.32, 95% CI:1.21–1.44). Compared to moderate temperature-humidity, warm-wet environment was also associated with an increase in dengue risk (RR:1.37, 95% CI:1.22–1.55). In comparison to weeks with moderate temperature-rainfall, warm-wet weeks was linked to an elevated dengue risk (RR:1.39, 95% CI:1.27–1.52), whereas cold-dry weather would significantly reduce the infection risk (RR:0.70, 95% CI:0.62–0.80). Modification effects showed that the hot effect on dengue infection was more pronounced under higher humidity, while the impact of rainfall increased with warmer temperature. ConclusionWarm-wet events were associated with an increased dengue fever risk, while the infection risk would decline in cold-dry environment, and modification effects exist among exposures. Findings from this study highlight the importance of considering joint temperature, humidity, and rainfall dependency of dengue fever infection in disease prevention and control.

THE RELATIONSHIP BETWEEN COMMUNITY BEHAVIOR AND SOWING OF ABATE POWDER IN PREVENTING AEDES LARVAE AT PASI PEUKAN BARO VILLAGE AND PASI RAWA VILLAGE SIGLI SUB DISTRICT, PIDIE REGENCY

Background: Dengue Hemorrhagic Fever (DHF) in Aceh Province in 2022 were recorded at 2,079 cases,, with 16 deaths. with the morbidity rate for Dengue Hemorrhagic Fever (DHF) in 2022 amounting to 38 per 100,000 population. Cases of dengue fever in Pidie Regency in 2022 were 318 cases. Research Objective: To determine community behavior towards sowing abate powder to prevent aedes larvae in Kota Sigli Subdistrict, Regency Pidie, Aceh Province, data collected in the form of larva surveys, distribution of research questionnaires and observation were conducted from 24 January to 28 February 2024 with the number of respondent involved 71 respondents in Pasi Peukan Baro village and 84 respondents in Pasi Rawa village, and total were 155 respondents. Research Method: Quantitative research with a cross-sectional study research design. Results: The results of Chi Square analysis in Pasi Peukan Baro village was showed a relationship between knowledge (p-value 0.000) and attitude (p-value 0.016) with community sowing behavior of abate powder in preventing aedes larvae.Meanwhile in Pasi Rawa village there is a relationship between education (p-value 0.028) and knowledge (p-value 0.000) with community sowing behavior of abate powder in preventing aedes larvae. Based on the results of the logistic regression test, the most dominant factors that were significantly related in Pasi Peukan Baro village are the age variable (p-value=0.074, CI 95%=0.032-1.170 OR=0.194) and the variable knowledge (p-value=0.001, CI 95%=3.305-95.053, OR=17.724) while in Pasi Rawa village the most dominant factor is knowledge variable (p-value=0.000, CI 95%=19.089-1831.905, OR=187.000). Conclusion:In Pasi Peukan Baro village there is a relationship between the knowledge variable and attitude variable with community sowing behavior of abate powder in preventing aedes larvae.There is a relationship between education variable and knowledge variable with community sowing behavior of abate powder in Pasi Rawa village.

Spatial-Temporal Visualization of Dengue Fever Vulnerability in Kediri Using Hierarchy Clustering Based on Mobile Devices

In Indonesia, Dengue Fever (DF) is a contagious disease that is a significant issue in public health. The Kediri Regency in East Java, as reported by the Ministry of Health in 2019, had the highest number of DF cases. If not addressed promptly, DF can lead to outbreaks, creating a health emergency. The lack of a thorough investigation into the diversity of risk within a spatial and temporal region exacerbates this issue. Therefore, spatial-temporal analysis is crucial in developing a warning system to prevent and control DF. This paper proposes a method that combines the Euclidean Distance calculation with the Hierarchical Clustering method. We collected data from the Kediri Regency health department and conducted pre-processing and classification processes, considering the number of DF victims, death rate, population, rainfall, and public facilities. The hierarchical clustering algorithm was used to categorize the 344 village analyses into low, medium, and high vulnerability categories. This method allows for a comparison of yearly single, average, complete, and centroid linkage in DF vulnerability levels. We also employed spatial-temporal visualization based on cellular applications to create a clear picture of areas vulnerable to DF. The experimental results in clustering showed a satisfactory level of matching, with variant values calculated using the hierarchical clustering method. The variants for single linkages were 0.113; for average linkages, they were 0.120; for complete linkages, they were 0.178; and for centroid linkages, they were 0.106. The grouping validation results indicated that the centroid linkage method produced the best variant level. We suggest further enhancing the methods with better process steps using other pre-processing methods to improve the validation quality.

The epidemiological characteristics of the outbreak of Dengue fever in Fuzhou City from 2016 to 2023

To analyze the epidemiological characteristics of dengue fever in Fuzhou City from 2016 to 2023, it was found that a total of 1 697 cases of Dengue fever (1 512 local cases and 185 imported cases) were reported in Fuzhou City from 2016 to 2023, and a total of 15 dengue-related public health emergencies were reported, with an average duration of the epidemic. The average duration of the epidemic was 71.6 days. Local dengue fever cases: the peak incidence period was concentrated in August-October, accounting for 96.69% (1 462/1 512); distributed in 10 counties and districts, the three counties with the highest annual average incidence rate were Minhou County (9.95/100 000), Cangshan District (6.03/100 000), and Taijiang District (5.58/100 000); in 2019 (Moran's I=0.18, P<0.05) and 2023 (Moran's I=0.5, P<0.05) the spatial distribution of local dengue fever cases in Fuzhou City showed a clustering pattern, with Gulou, Taijiang, Cangshan, and Jin'an districts as high-high clustering areas, and the outbreaks basically clustered in the urban areas; the median age was 47 years old, and the proportion of 40-70 years old was 50.93% (770/1 512). Among the local cases of Dengue fever, 81.15% (1 227/1 512) were unemployed, and 6.81% (103/1 512) were students with the highest proportion.The median time between onset diagnosis was 3.38 d, 6.67 d, 3.50 d, 3.75 d in 2016-2019, and 3.46 d in 2023, respectively, and the years of onset. The difference in the median time between onset and diagnosis was not statistically significant (χ²=8.556 4, P>0.05). Imported cases: mainly from Southeast Asian countries, Cambodia, Papua New Guinea, Indonesia accounted for the highest proportion of 62.70% (116/185); May to September is the active period of Aedes albopictus, and the results of Aedes albopictus resistance test showed that the mosquito larvae were sensitive to residual chlorpyrifos, and the Aedes albopictus adult mosquitoes showed sensitivity to two organophosphorus insecticides (chlorpyrifos, malathion), and to one type of Aedes albopictus adults were sensitive to two kinds of organophosphorus insecticides (chlorpyrifos, malathion) and a kind of pyrethroid carbamate insecticide (carbofuran).

Sosialisasi DBD Bentuk Upaya Pencegahan dan Penurunan Kasus Demam Berdarah di Desa Kebonadem

Socialization on the prevention of Dengue Hemorrhagic Fever (DBD) in Kebonadem Village on July 20 2024 aims to increase public awareness about the dangers of DBD and steps to prevent it. The main problem faced is the high risk of dengue fever transmission due to population density and community behavior that does not maintain environmental cleanliness, which supports the breeding of the Aedes aegypti mosquito. The urgency of this outreach is very high considering that dengue fever cases often cause Extraordinary Events (KLB) and the fatal impacts they can have. The results of this outreach show a significant increase in public understanding regarding preventive measures such as the application of 3M Plus (Draining, Covering, Burying and Sprinkling abate powder) as well as the early signs of dengue fever. Active participation in discussions and implementing new habits, such as cleaning water reservoirs, indicates the positive impact of this activity. Despite progress, consistency in implementing prevention habits and ongoing support from various parties is still needed to ensure long-term success. Regular evaluations will help assess the effectiveness of the program and reduce the number of dengue cases in the village, making it an example of success in dengue prevention in other communities.

The impact of temperature factor on Dengue Hemorrhagic Fever in Khanh Hoa province during 2007 – 2021

A retrospective descriptive study was conducted to describe the impact of temperature (Average air temperature (AAT), average maximum air temperature (AMaxT), average minimum air temperature (AMinT)) on the number of dengue hemorrhagic fever (DHF) cases in Khanh Hoa province from January 2007 to December 2021. Monthly data were collected and analyzed using a negative binomial regression model with the average temperature over a lag period of 3 months. The results showed that there was a statistically significant positive correlation between AAT, or a statistically significant negative correlation between AMaxT, AMinT and the relative risk of DHF. With a 1oC increase in AAT, the number of DHF increased by 4791.09% (95% CI: 2479.03 ÷ 9175.86, p &lt; 0.001). For 1oC increase in AMaxT, the number of DHF decreased by -36.24% (95% CI: -58.10 ÷ -2.95, p = 0.036). With a 1 oC increase in AMinT, the number of DHF decreased by -94.97% (95% CI: -96.86 ÷ -91.95, p &lt; 0.001). The study found that the environmental temperatures, specifically AAT, AMaxT and AMinT, contributed to the impact on the number of DHF cases in Khanh Hoa province. Monthly temperature data can be valuable in the assessment and prevention of DHF.

Fitting the return period of dengue fever epidemic in Guangdong province of China

ObjectivesThe prevention and control of dengue fever (DF) has been a major public health issue in Guangdong (GD) province, China. This study aims to analyze the return period (RP) and the return level (RL) of DF epidemic in GD, to help the formulation of prevention and control plan. MethodsThree models, namely Lognormal distribution (Lognor D.), normal distribution (Norm D.), and generalized logistic distribution (GLD) were selected to fit the annual number of indigenous DF cases in GD from 1978 to 2021. The coefficient of determination (R2), the root mean squared error (RMSE), and the Akaike information criterion (AIC) were used to evaluate the goodness of fit. We predicted the RP of 45130 historical maximum cases that occurred in 2014 and the RP of 4884 peak cases that occurred in 2019 over the 5 years up to 2021. ResultsFitting through the three models, the R2 was 0.98, 0.98, and 0.96, respectively. The predicted RLs of the annual DF case number were between 297 and 43234, 297 and 43233, 362 and 41868 for the RPs of 2–45 years. The predicted RPs of DF outbreaks exceeding the historical maximum were 43, 43, and 44 years, and the RPs of DF epidemic exceeding the peak in 2019 were 7, 7, and 8 years, respectively. Therefore, we predicted that GD would experience a DF outbreak beyond the historical maximum in the next 35 or 36 years from 2022. And in the next 4 or 5 years from 2022, there would be a DF epidemic exceeding the peak in 2019. ConclusionsThe study discloses a temporal periodicity inherent to the DF epidemic in GD. The three models are applicable for forecasting and evaluating the RP and RL of DF epidemic in GD, separately.

Dengue Fever: A Public Health Threat to Bangladesh

Dengue fever has become a significant health concern in Bangladesh, with a substantial number of reported cases in recent years. This mosquito-borne viral infection is caused by the dengue virus, transmitted by the Aedes mosquito. The effects of dengue fever can range from mild symptoms such as high fever, muscle and joint pains, to severe complications that can be life-threatening. This paper aims to provide an update on the current situation of dengue fever in Bangladesh, the measures taken by the government and healthcare systems, and the challenges faced in controlling the spread of this disease. In recent years, Bangladesh has experienced a surge in dengue fever cases, particularly during the monsoon season when mosquitoes thrive. According to the Directorate General of Health Services (DGHS), the number of dengue cases has been increasing rapidly, with thousands of reported cases each year. The densely populated urban areas of Dhaka, the capital city, are particularly affected, as inadequate waste management and sanitation contribute to the breeding grounds for mosquitoes. The impact of dengue fever extends beyond health, as it also poses a significant economic burden on affected individuals and the healthcare system. To combat the spread of dengue fever, the government of Bangladesh has taken several measures. These include implementing public awareness campaigns to educate the population about the importance of mosquito control, encouraging practices such as removing standing water and using mosquito repellents, and promoting early diagnosis and treatment. The government has also strengthened its vector control and surveillance programs, focusing on increased mosquito control measures and the early detection of cases. Additionally, efforts have been made to improve healthcare infrastructure and capacity to handle the growing number of dengue cases. However, despite these efforts, challenges remain in controlling the spread of dengue fever in Bangladesh. Factors such as limited resources, inadequate urban planning, and a lack of community participation continue to hinder progress. Furthermore, the emergence of new strains of the dengue virus and the potential for future outbreaks make it crucial to continuously monitor and adapt control strategies. Collaborative efforts between the government, healthcare systems, and the community are essential to effectively manage and prevent the spread of dengue fever in Bangladesh. Only through a comprehensive and sustained approach can the country hope to combat this public health threat effectively. CBMJ 2024 July: vol. 13 no. 02 P: 282-289

Dengue encephalitis: A rare presentation of dengue fever

The prevalence of dengue fever in South Asian countries has been increasing for the last few years including Sri Lanka. Dengue encephalitis is an unusual and severe manifestation of dengue fever, with only a few cases being reported worldwide. This uncommon manifestation of dengue fever gives rise to many diagnostic dilemmas, thus challenging the treating physicians. Here, we report a case of dengue fever complicated with encephalitis with the typical magnetic resonance imaging (MRI) features. This report highlights the importance of considering dengue fever in patients presenting with fever and neurological manifestations.

Unlocking the potential of Naive Bayes for spatio temporal classification: a novel approach to feature expansion

Prediction processes in areas ranging from climate and disease spread to disasters and air pollution rely heavily on spatial–temporal data. Understanding and forecasting the distribution patterns of disease cases and climate change phenomena has become a focal point of researchers around the world. Machine learning models for prediction can generally be classified into 2: based on previous patterns such as LSTM and based on causal factors such as Naive Bayes and other classifiers. The main drawback of models such as Naive Bayes is that it does not have the ability to predict future trends because it only make predictionsin the present time. In this study, we propose a novel approach that makes the Naive Bayes classifier capable of predicting future classification. The process of expanding the dimension of the feature matrix based on historical data from several previous time periods is performed to obtain a long-term classification prediction model using Naive Bayes. The case studies used are the prediction of the distribution of the annual number of dengue fever cases in Bandung City and the distribution of monthly rainfall in Java Island, Indonesia. Through rigorous testing, we demonstrate the effectiveness of this Time-Based Feature Expansion approach in Naive Bayes in accurately predicting the distribution of annual dengue fever cases in 30 sub-districts in Bandung City and monthly rainfall in Java Island, Indonesia with with both accuracy and F1-score reaching more than 97%.Graphical

Dengue fever and prognostic utility of inflammatory markers.

Objective: To determine presence of inflammatory markers i.e. hyper-ferritinemia, elevated lactate dehydrogenase, and liver enzymes in dengue fever and their correlation with different classes of dengue severity, defined by new WHO classification. Study Design: Cross-sectional Analytical study. Setting: Medical Department of Dr. Ruth KM Pfau Civil Hospital Karachi. Period: October 2022 to March 2023. Methods: Conducted in confirmed cases of Dengue fever, after consent all patients were categorized in three i.e. D-W, D+W and SDF groups. Results: 120 patients were included in study. 24 suffered from Severe Dengue Fever (SDF) whereas 28 were in Dengue without warning signs (D-W) group and 68 were in Dengue with warning signs (D+W) group. We found a significant association between liver enzymes (SGPT and SGOT) and dengue severity. SGOT was significantly increased in cases with SDF as compared to D-W and D+W cases (p-value = 0.002). Similarly, ferritin was significantly increased in SDF cases compared to non-severe cohort (p-value &lt;0.001). Using the area under the curve (AUC) of ROC curve, ferritin level (cutoff value of 800), produced a sensitivity of 75% for severe dengue fever. Mean length of stay in patients with non-severe dengue group was 3.63 days vs. 4.3 days in those with SDF (P value 0.002). Conclusion: As dengue is becoming a huge burden especially in developing countries, need to take proper measures to establish disease severity and according to severity resource allocation is cornerstone. Significant higher ferritin levels in severe dengue fever than other dengue groups, observed in our study, making serum ferritin a surrogate marker for dengue to predict the severity of dengue fever.

Binary Logistic Regression Analysis on the Spread of Dengue Fever in Bali Province

The spread of dengue fever involves a complex cycle between humans as hosts and mosquitoes as vectors. Symptoms of dengue fever can vary from a mild fever to a severe form that can be life-threatening. One of the areas that has the highest spread of dengue fever in Bali Province is the Denpasar area. Research continues to be carried out to understand the factors that influence the spread of dengue fever using the binary logistic regression method. Binary logistic regression is a regression model that is often used in modeling categorical data, where the dependent variable in this study is the distribution of dengue fever cases with the number of cases spreading in each region being assigned a category of zero for a low number of cases and one for a high number of cases. So in this research a more effective strategy was developed in controlling this disease as well as the best model for data on the spread of dengue fever in Bali Province. The results obtained from this research were a test of the influence of the independent variable on the dependent variable, showing that the variable number of adequate sanitation facilities (X5) had a significant influence on the number of dengue fever sufferers in Bali Province, namely 0.081.

Sosialisasi Pencegahan Demam Berdarah Dengue pada Anak Sekolah Dasar Dusun Setro Kecamatan Bergas Kabupaten Semarang

One way to raise awareness of love for the environment and prevent dengue hemorrhagic fever is through outreach to school children. Socialization is one way to increase knowledge about preventing dengue hemorrhagic fever. The outreach aims to control the increasing incidence of dengue hemorrhagic fever cases. The method used begins with observation and giving a questionnaire to be filled in regarding questions regarding dengue hemorrhagic fever. After the data is found, a nursing diagnosis is then formulated, followed by implementation activities in the form of edugames and community service. Pre post analysis of knowledge using the Wilcoxon test showed that the p value (0.000) showed that there was an increase in knowledge between before and after socialization.

Pengelompokkan Daerah Rawan Demam Berdarah (DBD) di Jawa Timur Menggunakan Metode K-Means

Tropical diseases are common in areas with tropical and subtropical climates. As a country with a tropical climate, Indonesia is vulnerable to various tropical diseases. A large number of tropical diseases can occur in the temperate climate zone, differing only in the frequency with which they are affected. Dengue hemorrhagic fever is a tropical disease in Indonesia. DHF occurs as a result of infection with the dengue virus which is transmitted through the bite of the female Aedes aegypti mosquito. The high prevalence of DHF in East Java requires a data collection process to identify areas that are frequently infected with DHF. Therefore, we need a clustering system that can help classify areas that often experience DHF cases. This study aims to find out which districts/cities have the predominant cases of dengue fever. The clustering method used is K-Means clustering. Based on the research conducted, 2 clusters were obtained with a silhouette coefficient value of 0.76. Cluster 1 covers 36 districts/cities and is an area with a low level of vulnerability to dengue fever, while cluster 2 covers 2 districts/cities and is an area with a high level of vulnerability to dengue fever.

KKN Tematik: Membangun Kesadaran Pencegahan dan Pengendalian Penyakit Demam Berdarah Dengue (DBD) di Desa Jeruju Besar

Dengue hemorrhagic fever (DHF) is caused by the bite of the female Aedes aegypti mosquito. Dengue hemorrhagic fever cases that occurred in Kubu Raya have reached 1,061 cases with 4 deaths, as of November 22 2023. The importance of preventing and controlling dengue fever needs to be done to reduce the increasing number of dengue fever cases that occur so that this problem is raised as KKN theme in Jeruju Besar Village. The KKN implementation was carried out in Jeruju Besar Village with a program to prevent and control dengue hemorrhagic fever which included socialization, training in making larvicide and wall magazine, also providing larvicide products, posters and platelet-increasing food. The results of evaluation show that there was an influence of the socialization carried out on increasing knowledge and understanding regarding dengue prevention and control among village residents from an average value of 59.24 to 87.83 and among elementary school students from an average value of 55.09 to 82 .61 which is supported by the Paired Sample T Test. The result of questionnaires also showed a good level of satisfaction from residents, where 82.61% felt that the were useful. Overall, the program implemented went well according to plan and received a very good response so that it was able to increase understanding and knowledge, also increase awareness in preventing and controlling the spread of dengue hemorrhagic fever among the residents of Jeruju Besar Village.

Penyuluhan Demam Berdarah dan Pelatihan Pembuatan Alat Perangkap Nyamuk sebagai Upaya Pencegahannya di SDN 09 Pontianak Timur

Dengue fever has become a health problem in global society, including in Indonesia. The number of cases increased until the end of 2023 with the number of cases reaching 4,304 cases and the number of deaths reaching 48 cases in West Kalimantan. The emergence of dengue fever cases makes all levels of society anxious and worried because it can cause death in a short time. Efforts are needed to control dengue fever by increasing public knowledge about dengue fever and how to prevent it can be an alternative way. The aim of this activity is to provide health education about dengue fever and efforts to prevent it through the practice of making mosquito traps. The method used was a lecture using PowerPoint media and continued with training in making mosquito traps. The activity was held on Tuesday, January 9 2024 at SDN 09 East Pontianak attended by 42 participants and went well and smoothly according to plan. After being given counseling, there was an increase in participants' understanding based on the results of the average pre-test and post-test scores. During the activity, participants were active and able to answer the questions given correctly. Next, participants were invited to practice directly making mosquito traps from used bottles. During the training process, participants were enthusiastic and followed directions correctly. It was concluded that this activity was useful in increasing students' knowledge and awareness in preventing fever.

HUBUNGAN PENGETAHUAN DAN SIKAP MASYARAKAT TERHADAP PENCEGAHAN DEMAM BERDARAH DENGUE DENGAN 3M PLUS DI WILAYAH KERJA PUSKESMAS KOTA PARIAMAN

Dengue Hemorrhagic Fever (DHF) is a health problem in tropical countries. The World Health Organization (WHO) in 2023 reported that an unexpected spike in dengue fever cases resulted in the highest number in history, namely more than 6.5 million cases with more than 7,300 deaths. The prevalence of DHF in West Sumatra in 2020 was 292 cases. The purpose of the study was to determine the Relationship between Knowledge and Community Attitudes Towards DHF Prevention with 3M Plus in the Pariaman Health Center work area. The research method used quantitative research with a descriptive analytical design with a Cross Sectional Study approach. The study was conducted in Kp. Jawa II, Central Pariaman. The research sample was 85 heads of families. Sampling was done by acidential sampling. Statistical tests using Chi Square. The results of the study showed that the majority of the community (69.4%) had low knowledge, (56.5%) had negative attitudes, and (65.9%) the community was low in preventing DHF with 3M Plus. There is a significant relationship between knowledge of dengue prevention and 3M Plus showing p value = 0.000. There is a significant relationship between attitude and dengue prevention with 3M Plus showing p value = 0.000.

Understanding the unprecedented 2023 dengue outbreak in Bangladesh: a data-driven analysis

ObjectivesThis study aims to elucidate the epidemiological characteristics, spatial distribution, and potential contributing factors associated with the 2022-2023 dengue outbreak in Bangladesh. MethodsWe retrospectively analyzed dengue fever cases reported by national health surveillance systems, focusing on incidence, geographical spread, and fatalities. Statistical methods were used to explore correlations between population density, healthcare capacity, and disease prevalence. ResultsOur study revealed that in 2023, dengue cases and deaths surged five-fold (from 62,382 to 320,835) and nearly six-fold (from 281 to 1699) compared with 2022. Major cities such as Dhaka and Chittagong emerged as epicenters with significantly higher caseloads and mortality rates. The analysis identified a strong positive correlation between population density and disease prevalence, suggesting urbanization as a contributing factor. In addition, a shift in the peak dengue season from August to September was observed. Furthermore, disparities in health care infrastructure were identified, with densely populated areas experiencing critical shortages of hospital beds, potentially impacting fatality rates. ConclusionsThis unprecedented dengue outbreak in Bangladesh highlights the need for a multifaceted approach. Prioritizing vector control, targeted public awareness in identified hotspots, addressing healthcare resource inequities, and further research on environmental and demographic determinants of transmission are crucial for mitigating future outbreaks in Bangladesh.

ANALISIS DAN VISUALISASI DATAPENDERITA PENYAKIT DBD DI SITUBONDO MENGGUNAKAN PLATFORM TABLEAU

Cases of dengue fever in Situbondo are very fluctuating and unpredictable. This shows that dengue fever is still a problem that requires serious health attention. The infectious disease dengue fever is caused by the bite of the Aedes aegypti mosquito. Fluctuations in dengue fever cases are due to erratic rainfall. Sometimes rainfall is higher and the rainy season is longer. On the other hand, sometimes rainfall is relatively lower and the dry season is longer. This research aims to analyze and visualize data on dengue fever sufferers in Situbondo using the Tableau platform. The data used is map data per region or spatial data that has geographical references and historical data on dengue fever patients in Situbondo from 2016 to 2022. Data was obtained from the website Tanahair.indonesia.go.id and the Situbondo Community Health Center. The research results show that data visualization using Tableau can produce good, effective, interesting and efficient information. The results of data visualization of dengue fever sufferers in Situbondo showed that there were 2 cases of death. Cases of dengue fever sufferers are spread throughout all villages in Situbondo. It is hoped that the results of this research can help in adopting appropriate policies to control dengue fever in Situbondo.

Pendidikan Kesehatan Tentang Bahaya Penyakit Demam Berdarah Dengue (DBD) Pada Masyarakat

Dengue Fever disease is a disease whose sufferers tend to increase. Dengue fever disease is an illness that is heard by Dengue virus. Increased cases of dengue high fever can be influenced by the population density factor. The population density factor affects the transmission or transfer of disease from one person to another associated with a vector of disease. This community service activity was carried out in the PB Selayang II Community Health Center Work Area on 18-19 June 2024. The health education media used were videos and leaflets. The implementation is carried out during the day for people who can come during the day. The average number of people attending is ten to twenty people. Health education about the dangers of dengue hemorrhagic fever was carried out in three sessions. After carrying out community service activities, it can be concluded that there has been an increase in public knowledge about the dangers of dengue hemorrhagic fever before and after this activity. After conducting health education, the public understands more about the dangers of dengue hemorrhagic fever.