Dengue Hemorrhagic Fever Cases Research Articles

Overview of Dengue Fever (DHF) incidence based on population density in Indonesia

Dengue fever (DHF) is an infectious disease caused by the dengue virus, with Aedes aegypti and Aedes albopictus mosquitoes as vectors. The prevalence of DHF globally has increased significantly, and the infection has become endemic in many regions including Indonesia. The purpose of this study was to determine the relationship between population density and the incidence of Dengue Hemorrhagic Fever (DHF) in Indonesia. This research uses a descriptive method with a population correlation study. Descriptive analysis in this study utilized the Health Mapper version 4.3.0.0 application while the population correlation test used the SPSS data processing application with the Spearman bivariate test. The population in this study is provinces in Indonesia. The independent variable in this study is population density in provinces in Indonesia, while the dependent variable in this study is the incidence of Dengue Fever (DHF) in Indonesia in 2020, 2021, and 2022. The results showed that DHF cases are directly proportional to the high population density in a province. The correlation test on dengue cases and Indonesia's population density in 2020 showed a correlation coefficient of 0.811. The correlation test between DHF cases and Indonesia's population density in 2021 showed a correlation coefficient of 0.766. The correlation test between dengue cases and Indonesia's population density in 2022 showed a correlation coefficient of 0.741. This study concluded that there is a very strong relationship between dengue fever cases and population density in various regions in Indonesia.

A brief description of the epidemiology of dengue in Dili, Timor-Leste, 2018-2022.

Dengue virus (DENV) infection causes 390 million infections per year and 40,000 deaths globally. It is endemic in many countries in Asia, Africa, the Americas, the Caribbean, and Oceania. Dengue is endemic in Timor-Leste year-round, but peak transmission occurs during the rainy season. We briefly describe the epidemiology of DENV in the Municipality of Dili between 2018 and 2022. There were 6,234 cases notified, with a mean annual incidence rate of 330 cases per 100,000 population. There were 55 deaths (case fatality rate 0.9%). The peak annual incidence (3,904 cases) occurred in 2022 after an outbreak was declared in January of that year; this outbreak included 760 cases of dengue haemorrhagic fever and 35 deaths. The number of outbreak cases requiring hospital treatment exceeded the usual capacity, but facilities established for coronavirus disease 2019 (COVID-19) isolation and treatment were repurposed to meet this demand. Existing strategies of vector control, minimising breeding sites and promoting early presentation for treatment should continue, as should the utilisation of surveillance systems and treatment facilities established during the COVID-19 pandemic. However, dengue incidence remains high, and other dengue control strategies-including the deployment of Wolbachia-infected mosquitoes-should be considered in Timor-Leste.

Retrospective Study of Various Factors In Pediatric To Severe Dengue Infection

Introduction: Dengue epidemics are known to have occurred over the last three centuries in tropical, subtropical and temperate areas of the world. Annually a 100 million cases of Dengue fever and half a million cases of dengue hemorrhagic fever (DHF) occur in the world with a case fatality in Asian countries of 0.5%–3.5%.  Objective: To assess the various factors in pediatric to severe dengue infection. Methods: A hospital-based Retrospective study was conducted at Department Of Paediatric, Mugda Medical College Hospital, Dhaka, Bangladesh from October to December 2023. Number of patients included in the study was 50. In children with high degree clinical suspicion of Dengue infection NS 1 antigen (who came within first 48 hours of fever) and/or Dengue antibody IgM, IgG (who came after five days of fever) were performed. Positive Dengue cases were taken written informed consent & interviewed on the risk factors of Dengue infection. Data related to patients demography, risk factors, clinical presentation, pattern of Dengue infection and outcome were documented on the pre-structured questionnaire. Results: The study was enrolled 100 patients of suspected dengue fever of whom 50 (50.0%) were serologically confirmed to have dengue infection. 30 (60%) patients were males and 20 (40%) were females. 38 (76%) patients had classic dengue fever while 12 (24%) fulfilled the criteria of dengue hemorrhagic fever. Of those patients with dengue hemorrhagic fever, 6 patients had developed dengue shock syndrome. Among the study 44 (88%) from urban and 6 (12%) rural area patients. All cases and is the most common symptom followed by headache, myalgia, vomiting etc. Hemorrhagic manifestations were seen that included petechiae, ecchymosis, gum bleeding, hematuria, malena, hematemesis and epistaxis. Most common complicationswere hepatic dysfunction, renal failure, multi organ failure, encephalopathy and ARDS. Among 50 suspected dengue cases 38 (76.0%) cases were serologically dengue positive. Among the 38 serologically dengue positive patients 17 (44.7%) were NS1 antigen positive, 13 (34.2%) IgM antibodies and 8(21.0%) both IgM and IgG antibodies positive. The distribution of the serologically dengue positive patients out of 50 clinically suspected cases. Conclusion: Dengue is one amongst the key causes of dedifferentiated fever. It presents as an extremely broad wellness and is hardly recognized as a clinical entity by primary health care physicians. This study highlights the practician the importance of break bone fever to clinicians within the areas of medical specialty, manifestations, complications and outcome of the wellness

Analysis of Aedes Aegypti Larval Density on The Potential Transmission of Dengue Fever

Dengue hemorrhagic fever (DHF) is caused by the dengue virus transmitted through the Aedes aegypti mosquito. DHF remains a health problem in Indonesia. Based on data from the Ministry of Health, there were 184 cases of the disease in 2022, an increase of 94.8% compared to 2021, which had 73,518 cases. According to the Central Statistics Agency of South Sumatra Province, the number of DHF cases in South Sumatra was 2,854 cases, with the highest number in the city of Palembang at 908 cases. This condition requires serious attention. The aim of this study is to analyze the potential transmission of DHF based on entomological evidence in the Sukarami district of Palembang. The method used in the research is a cross-sectional study conducted in December 2023, involving 92 households in the Sukarami sub-district, with a total of 552 containers. The survey results of larval identification under a microscope showed a Larval Free Index of 45.7%, a Container Index of Aedes aegypti larvae of 56.0%, a house index of 73.9%, and a Breteau index of 152.2%. The results of entomological indices indicate a high density of DHF vector mosquitoes Aedes aegypti, which means that this area has a high risk of DHF transmission, thus requiring the control of Aedes aegypti larvae and the eradication of DHF. breeding sites for the vector.

Community Engagement in DHF Prevention: An Analysis of Variances in Knowledge and Behavior

Background: Dengue Hemorrhagic Fever (DHF) is a disease that originates from the Aedes aegypti mosquito, especially in tropical areas. The spread of DHF is increasing, this is indicated by the high prevalence of the disease and the rapid increase in the number of DHF cases in Indonesia. Dengue fever cases will become the center of attention for health in Indonesia in the coming years. Objective: To find out differences in knowledge and behavior of dengue prevention in the community. Methods: This study uses a quantitative method with a case control design. The sampling technique used was total sampling with a total sample of 44 respondents, 22 groups had suffered from DHF and 22 groups had never suffered from DHF. The research was conducted in Ngalian Village, Wadaslintang District, Wonosobo Regency. Results: This study has an average knowledge of DHF prevention in people who have had DHF 7.36 and people who have never had DHF 8.36 Behavior of DHF prevention in people who have had DHF 19.31 , and people who have never had DHF 27 , after being carried out includes differences in knowledge and differences in dengue prevention behavior in the community in Ngalian Village, Wadaslintang District, Wonosobo Regency with a p-value of 0.005 (knowledge) and a p-value of 0.000 (behavior). Conclusion: This study shows that there are differences between the knowledge and behavior of DHF prevention in people who have had DHF and those who have not had DHF.

PENGARUH LA NINA DAN EL NINO TERHADAP PENYAKIT DEMAM BERDARAH DENGUE DAN MALARIA DI INDONESIA

The phenomena of El nino and La nina are closely related to rainfall and its impact on various fields. Rainfall is an element of weather and climate that greatly influences all aspects of life including health, especially mosquito vector-borne diseases in Indonesia such as Dengue  hemorrhagic fever (DHF), malaria, chikungunya, zika, and others. In this regard, an analytical study was carried out on the effect of El nino and La nina on DHF and malaria cases in Indonesia. This paper is the result of data analysis from the study "The Influence of El nino and La nina on Seasonal Variability in South Kalimantan" and the data of DHF and malaria cases obtained from the Data and Information Center of the Ministry of Health of Indonesia. Descriptive analysis was carried out on the trend of DHF and malaria cases fluctuation associated with El nino and La nina phenomena that occurred throughout the time period 2007-2017. El nino and La nina phenomena affect fluctuations in DHF and malaria cases related to increased and decreased of rainfall which affect the growth and development and also the activity patterns of mosquito as vectors of transmitting DHF and malaria. The increase of DHF cases in Indonesia was influenced by "strong" El nino and "moderate" La nina while the increase of malaria cases in Indonesia was more influenced by "strong" and "moderate" La nina events.

PKM Edukasi Kejadian Demam Berdarah Dengue Terhadap Dampak Yang Di Timbulkan Hujan Di Kelurahan Buntusu Makassar

Abiotic factors such as rainfall, temperature and evaporation can influence the failure of mosquito eggs, larvae and pupae to become adults. Dengue hemorrhagic fever is still a public health problem and the incidence of cases fluctuates erratically. One of the causes of Dengue Hemorrhagic Fever is rainfall. Dengue prevention and control relies on effective vector control measures. Dengue prevention and control strategies require community involvement. Therefore, it is important to provide health education to the public regarding the prevention of Dengue Hemorrhagic Fever by promoting the 3M Plus Mosquito Nest Eradication Program. The method used is education which aims to increase the knowledge of the Indonesian people regarding the prevention and management of Dengue Hemorrhagic Fever. Based on the geographical location and topography, the Bunsusu district of Makassar has hot temperatures. In the rainy season, the incidence of dengue hemorrhagic fever cases usually tends to increase, where the highest rainfall occurs in February to April, while the lowest is in August and September. This type of research is analytical observational research with multi temporal analysis. The data used in this research is secondary data on cases of dengue hemorrhagic fever, data on rainfall factors. The distribution of dengue hemorrhagic fever cases is clustered in residential areas. The power of rainfall with dengue hemorrhagic fever is strong. There is no significant correlation between rainfall factors and dengue hemorrhagic fever. This may be caused by the lack of duration of the data taken, the incomplete physical factor data obtained and the influence of other more dominant factors.

The Correlation between Thrombocyte, Hematocrit, and Leukocyte Count with Length of Hospitalization in Pediatric Patient with Dengue Hemorrhagic Fever (DHF)

Dengue Hemorrhagic Fever (DHF) is a disease caused by dengue virus with mosquito vectors. Supporting examinations to determine the course of DHF include platelet counts, hematocrit values, and leukocyte counts. Length of hospitalization is the number of days when the patient receives treatment in the hospital, calculated when recorded as an inpatient until discharge from the hospital. This type of research is an analytic observational study with a cross sectional research design. Cases of pediatric DHF at Bina Sehat Hospital Jember for the period 2020-2022 totaled 296 patients. Data were obtained using medical records. Of the 296 cases of pediatric DHF, samples were then taken by purposive sampling according to the researcher's criteria until 44 samples were obtained. The data were then analyzed using Rank Spearman. The results of the data analysis showed that there was a strong opposite relationship (p = 0.000; r = -0.562) between platelet count and length of hospitalization, a strong unidirectional relationship (p = 0.001; r = 0.495) between hematocrit value and length of hospitalization, and a strong opposite relationship (p = 0.005; r = -0.415) between leukocyte count and length of hospitalization. Suggestions for future research are to use other variables such as nutritional status, medical history, and other laboratory examinations. Keywords: Dengue Hemorrhagic Fever; Length of Hospitalization; Thrombocyte; Hematocrit; Leukocyte

ANALYZING THE EFFECT OF SIMILARITY FUNCTIONS ON PARTITIONING AROUND MEDOIDS ALGORITHM FOR MAPPING DHF DISEASE IN NORTH SUMATRA

Dengue hemorrhagic fever (DHF) is an acute febrile illness caused by a virus through the Aedes mosquito. North Sumatra is among the three provinces with the highest incidence and mortality rates in Indonesia. Mapping of DHF cases is very important in efforts to control and prevent the disease. The Partitioning Around Medoid (PAM) algorithm is commonly used to cluster DHF cases. The idea of PAM is a clustering algorithm with a similarity-based approach to grouping objects in one cluster. There are two main focuses in the research: mapping regencies/cities based on dengue case information and analyzing the performance of several similarity functions. The dataset includes variables of incidence rate (IR), case fatality rate (CFR), larva-free rate (ABJ), and population, obtained from the North Sumatra Provincial Health Office and the Central Statistics Agency (BPS). The analysis showed that three clusters were formed in North Sumatra Province. The first cluster includes regencies/cities such as Langkat, Deli Serdang, Karo, Simalungun, Dairi, Samosir, Humbahas, North Labuhan Batu, North Padang Lawas, South Labuhan Batu, Padang Sidempuan, Nias, South Nias, North Nias, and Sibolga. The second cluster consists of regencies/cities such as Medan, Binjai, Sedang Berdagai, Tebing Tinggi, Batubara, Asahan, Tanjung Balai, Labuhan Batu, Toba, North Tapanuli, Central Tapanuli, Gunungsitoli, and West Nias. The third cluster includes the regencies of South Tapanuli and Mandailing Natal. In addition, an evaluation was conducted using the Silhouette Index to measure the quality of the clustering. Based on the comparison using distance methods (Euclidean distance, Manhattan distance, Minkowski distance, and Chebyshev distance), the highest Silhouette Index value was obtained using Chebyshev distance, which amounted to 0.527554. This value indicates reasonable cluster quality. Thus, this study contributes to the mapping of DHF cases in North Sumatra Province and can be the basis for decision-making in overcoming the disease.

Evaluation of one-house one-larvae observer program in controlling dengue hemorrhagic fever in Central Sulawesi

Dengue hemorrhagic fever (DHF) is still a health problem in Poso District. This can be seen from the high number of DHF cases and potential outbreaks from 2017 to 2018. The local government took the initiative to prevent DHF outbreaks in Poso Regency. The Central Sulawesi Provincial Health Office and the Poso Regency Health Office have implemented onehouse one-larvae observer program in the Poso Kota Selatan District area by engaging the local government and community. The implementation of the program and its accomplishments requires evaluation. This study aims to evaluate the one-house one-larvae observer program using input, process, output, and outcome indicators. The research adopts a descriptive-qualitative approach, employing observation and interviews within an evaluation research design. Data analysis was performed using interpretation and triangulation methods. Policy documents are available, and human resources supporting the program are in compliance with the decree. However, the budget for the program is insufficient, while the available infrastructure is sufficient. The process indicators demonstrate satisfactory progress. Based on outputs, there was an increase in achievement against the program target of the number of buildings inspected by house larvae observers over four years. The outcome indicator in the form of the larvae-free rate increased by >90% during one year of program implementation. The implementation of local innovations initiated by the Regency Health Office and stakeholders’ engagement has been proven to increase community participation in programs that impact the achievement of program outputs and outcomes.

Pelatihan Pengendalian Nyamuk Vektor Demam Berdarah dengan <i>Lethal MosquiTrap Modification</i> (LMM) di Kecamatan Ampenan, Kota Mataram

The community service was carried out in Ampenan District, Mataram City, West Nusa Tenggara. Larval Monitoring Cadres (Jumantik) as targets or partners for this service activity. The problem faced by partners is the large number of cases of Dengue Hemorrhagic Fever (DBD) in several areas of Ampenan. The solution to conducting outreach and training on the manufacture and use of Lethal MosquiTrap Modification (LMM). Through this activity, it hoped that provide information and skills to target cadres so that they are able to independently make ovitraps as an effort to control the dengue virus vector. The final result of this service is that it is hoped that the community can avoid the dangers of dengue fever. Training activities are carried out in 2 stages, the evaluation is carried out in a separate phase. First, carry out socialization on mosquito traps which was attended by the local RT Head, posyandu cadres and community leaders. Second, training in making mosquito traps called Lethal MosquiTrap Modification (LMM). In this activity, training was provided on making simple mosquito traps and how to apply these traps by the community. The final phase carried out an evaluation process to see the seriousness of residents in using these traps to control the dengue virus vector, namely the Aedes aegypti mosquito.

Factors Affecting Cases of Dengue Hemorrhagic Fever in Riau Province

One infectious disease that has a high morbidity and mortality rate is Dengue Hemorrhagic Fever. Dengue Hemorrhagic Fever (DHF) is a disease caused by the dengue virus transmitted through the bite  of the Aedes aegypti mosquito.  In general, the habitat of Aedes mosquitoes  is in areas with tropical climates, high rainfall, and hot and humid temperatures. The number of patients and the area of distribution are increasing along with increasing mobility and population density. Improper sanitation can also be a cause of DHF. In Riau province, dengue cases in 2022 continue to increase compared to 2021, with the most cases in Pekanbaru City. This study was conducted to see the factors that influence dengue cases in Riau Province. Using multiple linear regression can measure what factors affect the number of dengue cases. From the results, it was found that population density and sanitation had a significant effect on dengue cases in Riau Province. And judging from the coefficient of determination, it can be interpreted that the variables of population density (X1) and sanitation (X2) simultaneously affect the variable of dengue cases (Y) by 77.8%. While the remaining 22.2% was influenced by other variables that were not studied in this study

Climate Change and Its Impact on the Increase in Dengue Hemorrhagic Fever Cases in North Maluku Province (Case Study in Tidore Islands City)

North Maluku Province has experienced a significant increase in dengue fever cases over the past few years. The purpose of this study is to comprehensively investigate the intricate relationship between climate change and the surge in dengue fever cases in North Maluku Province. This research uses a qualitative case study approach to examine the impact of climate change on dengue fever cases in North Maluku Province. Data was analyzed through in-depth interviews with health workers, local communities, and related stakeholders using NVivo. This robust qualitative data analysis software facilitated the systematic coding, categorization, and thematic exploration of the rich insights gathered during the interviews. The findings show that climate change in this region has significantly impacted the ecology of disease vectors, rainfall patterns, and the spread and prevalence of the Aedes aegypti mosquito as the primary vector of dengue fever. Social, economic, and infrastructure factors also play an essential role in the increase in dengue fever cases. This research provides an in-depth understanding of the relationship between climate change and increased dengue fever cases in North Maluku Province. The implications of these findings underscore the urgency of implementing adaptation and mitigation strategies to address public health risks associated with climate change. This study shows climate change has increased dengue fever cases in North Maluku Province. Therefore, more effective preventive measures, coordination between institutions, and more active community participation are needed to deal with the health impacts caused by climate change.

Dengue Hemorrhagic Fever in North Minahasa Regency in 2021-2022: Study Epidemiological

Dengue Hemorrhagic Fever (DHF) is a disease that rapidly spreads, particularly in tropical and subtropical regions. One of the places affected by DHF cases is North Minahasa Regency, which is one of the top donors to cases in North Sulawesi Province. The purpose of this study is to describe the prevalence of DHF in North Minahasa Regency between 2021 and 2022 in terms of time, place, and person. This is a quantitative descriptive study. This study employed secondary data. This data was collected from the North Minahasa Regency Health Office. Data will be collected from July to October 2023. The data collected were examined univariately. The data showed that the most DHF cases occurred in 2022, with an increase in incidence in March and November. Furthermore, DHF cases were prevalent in Dimembe District (working area of Tatelu Health Center), Kauditan District (working area of Kauditan Health Center), Talawaan District (working area of Talawaan Health Center), Airmadidi District (working area of Airmadidi Health Center), and Kalawat District (working area of Puskesmas Kolongan). The prevalence of DHF cases in 2021-2022 was higher in men, with a total of 150 cases and an average of 76 instances. DHF incidences increased in 2021, particularly in February, August, and December. It can be determined that the largest frequency of DHF in North Minahasa Regency in 2021-2022 occurs between February-March and November-December, were identified in Dimembe District, and the majority of the DHF cases are male

THE RELATION BETWEEN THE NEUTROFIL LYMPHOCYTE RATIO (NLR) AND THE DEGREE OF DENGUE HEMORRHAGIC FEVER IN THE INPATIENT INSTALLATION OF ARI CANTI HOSPITAL FOR THE PERIOD OF APRIL 2022 – MAY 2023

Dengue Hemorrhagic Fever is caused by dengue virus infection which can cause death and cause an outbreak. Neutrophil lymphocyte ratio (NLR) is one of the cheap laboratory parameters and can predict plasma leakage in the critical period of dengue hemorrhagic fever. This study aims to determine the profile of dengue hemorrhagic fever patients and the relationship between the neutrophil lymphocyte ratio and the degree of dengue hemorrhagic fever in patients treated at Ari Canti Hospital for the period April 2022 – May 2023.  This research is a retrospective analytical study with a cross-sectional approach using secondary data from archives at the Ari Canti Hospital Inpatient Installation for the period April 2022-May 2023. Data collection in the form of gender, age, neutrophil lymphocyte ratio and degree of dengue hemorrhagic fever was carried out using the convenient purposive sampling method. This study shows that the highest age group is the 26-35-year age group 35.7%, the highest gender is male 55.3% with cases of dengue hemorrhagic fever without shock 89.2% and a neutrophil lymphocyte ratio (NLR) of >2 as much as 64.2%. The result of  Mann Whitney non-parametric test, showed that p value <0.0001. There is a significant relationship between NLR and the degree of dengue hemorrhagic fever in patients hospitalized at Ari Canti Hospital in April 2022, May 2023.
 Keywords : dengue virus., dengue hemorrhagic fever., hospitalization., neutrophil lymphocyte ratio

Epidemiological Determinants and Trend Analysis of Dengue Fever Disease

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.

PENERAPAN METODE RUNGE-KUTTA ORDE 4 MODEL PENYEBARAN DEMAM BERDARAH DENGUE DI KOTA MAKASSAR

This research was conducted based on the increasing rate of spread of dengue hemorrhagic fever in the city of Makassar. The aim of this research is to obtain a model for the spread of dengue hemorrhagic fever and find out the numerical solution of the mathematical model. The method used in this research is a quantitative method. The data is processed in the form of quantitative data in the form of the number of people infected, dead and recovered from dengue fever in the city of Makassar in 2021. This research is to predict future dengue hemorrhagic fever cases using the Runge-Kutta Order 4 method. The mathematical model for dengue hemorrhagic fever is in the form of a system of differential equations that includes the variables Sh (Susceptible Host), Ih(Infected Host), Rh (Recovered Host), Sv (Susceptible Vector), dan Iv (Infected Vector). Then look for the parameters that will be used. The research results obtained in january 2022 with Dt = 0,01 using the Fourth Order Runge-Kutta Method with initial values of Sh0= 1426454, Ih0 = 583, Rh0 = 582, Sv0 = 13165, Iv0 = 1215  is Sh100 = 1420142, Ih100 = 2949, Rh100 = 4529, Sv100 = 13706, Iv100 = 751.

Hubungan Perilaku Pencegahan 3M Plus Dengan Kejadian Demam Berdarah Dengue (DBD) Di Wilayah Kerja Puskesmas Bintuhan Kabupaten Kaur

Data from the World Health Organization (WHO) says that in 2022, every year it is estimated that 50-100 million cases of dengue hemorrhagic fever (DHF) will occur in the world. The highest number of  DHF in Kaur Regency is in the Bintuhan Community Health Center working area, namely 21 cases in 2022. This research aimed to determine the relationship between 3M Plus prevention behavior and DHF incidents in the Bintuhan Community Health center working area, Kaur Regency. This type of research was Analytical Survey, with  a Case Control research design. The case population was all heads of  families  who  had  family members suffering from DHF in the period  January 2022-April 2023 in the Bintuhan Community Health Center working area, Kaur Regency, totaling 33 families. The control population was all families whose family members did not suffer from DHF in  the  Bintuhan Community Health Center working area in the  period January 2022-April 2023, totaling 3,525 families. The number of samples in this study was 66 heads of families consisting of 33 case samples and 33 control samples, with a ratio of 1:1. The data analysis  used in this research was univariate analysis, bivariate analysis using the Chi-Square test. The research results showed that of  the 66 heads of families, 39 heads of  families (59.1%) implemented 3M Plus prevention behavior and 33 heads of families (50.0%) experienced  DHF. There was a relationship between 3M plus prevention behavior and the incidence of DHF in the strong relationship category and odd ratio (OR) = 48,438. It is recommended that the Bintuhan Community Health Center, Kaur Regency, develop strategies for preventing and controlling DHF, one of  which is holding aducation about DHF.

To investigate the relationship between the ABO blood group description and the cases of dengue hemorrhagic fever

To investigate the relationship between the ABO blood group description and the cases of dengue hemorrhagic fever

Performance of CART Time-Based Feature Expansion in Dengue Classification Index Rate

This study proposes utilizing the machine learning technique CART to classify the spread of dengue hemorrhagic fever (DHF). To expand the features used, the CART classification model was developed based on data collected over the previous 2 to 4 years. The data sources included the Bandung City Health Office for the cases of DHF, the Bandung Meteorology, Climatology and Geophysics Agency for the climate data, the Bandung City Central Statistics Agency for population and educational history data. The top-performing CART classification model over the past 2, 3, and 4 years achieved accuracies of 93%, 93%, and 90%, respectively. The models that exhibited the highest accuracy values and optimal number of feature extensions were chosen as the best ones. CART is among several machine learning techniques that can effectively measure the most impactful features during the classification process.  The meteorological parameters were found to be irrelevant in the classification process. This study reveals that the population size, male population proportion, and educational attainment levels are the most impactful features in the classification of DHF spread in Bandung City. The research provides valuable insights into the classification of DHF spread in Bandung City through feature expansion.