Dengue Prevalence Research Articles

Enhanced passive surveillance dengue infection among febrile children: Prevalence, co-infections and associated factors in Cameroon.

Dengue virus (DENV) causes a spectrum of diseases ranging from asymptomatic, mild febrile to a life-threatening illness: dengue hemorrhagic fever. The main clinical symptom of dengue is fever, similar to that of malaria. The prevalence of dengue virus infection, alone or in association with other endemic infectious diseases in children in Cameroon is unknown. The aim of this study was to determine the prevalence of dengue, malaria and HIV in children presenting with fever and associated risk factors. Dengue overall prevalence was 20.2%, Malaria cases were 52.7% and HIV cases represented 12.6%. The prevalence of dengue-HIV co-infection was 6.0% and that of Malaria-dengue co-infection was 19.5%. Triple infection prevalence was 4.3%. Dengue virus infection is present in children and HIV-Dengue or Dengue- Malaria co-infections are common. Dengue peak prevalence was between August and October. Sex and age were not associated with dengue and dengue co-infections. However, malaria as well as HIV were significantly associated with dengue (P = 0.001 and 0.028 respectively). The diagnosis of dengue and Malaria should be carried out routinely for better management of fever.

Detection of IgM and IgG Dengue antibodies in febrile patients suspected of malaria attending health center in Jos, Nigeria

Background: Despite the public health importance of dengue infections, it is less investigated by clinicians and rarely considered in the differential diagnosis of febrile illnesses in Nigeria. The objective was to detect the presence of Dengue IgG/IgM antibodies and Plasmodium species in the blood of febrile patients. Methods: This is a cross sectional study conducted among ninety-four (94) consenting febrile patients suspected of malaria in Jos. Duo detection of dengue antibodies (IgG/IgM) were determined by ELISA technique. Total DNA was extracted from patient serum and quantified to determine concentration and quality of the extraction process. Malaria was detected by Real Time Polymerase Chain Reaction. Results: Dengue antibodies were detected in 55.3% (52/94) of the febrile patients. The mean age was 29.9±1.2. Highest dengue prevalence of 75% (39/52), 50% (26/52) and 59.6% (31/52) were recorded among females, students and non-users of mosquito nets, respectively. In all. 11.7% (11/94) of the samples tested positive for malaria. Age group 11-20 years recorded the highest prevalence of malaria, 63.6% (7/11). Dengue and Malaria co-infection was documented in 5.3% (5/94). There was a significant difference in the prevalence of dengue and malaria among febrile subjects. Conclusion: No association of dengue infection with gender and use of Insecticide Treated Nets was found. The lower malaria prevalence compared to dengue suggests that febrile illness in this population is shown to be associated more with dengue infection. We recommend a continuous surveillance of dengue infection in this population and consideration of dengue in the differential diagnosis of febrile illnesses.

A Windowed Correlation-Based Feature Selection Method to Improve Time Series Prediction of Dengue Fever Cases

The performance of data-driven models depends on training samples. For accurately predicting dengue fever cases, historical incidence data are inadequate in many locations. This work aims to enhance temporally limited dengue case data by methodological addition of epidemically relevant case data from nearby locations as predictors (features). A novel framework is presented for windowing incidence data and computing time-shifted correlation-based metrics to quantify feature relevance. The framework ranks incidence data of adjacent locations around a target by combining metrics based on correlation, spatial distance, and local prevalence. Recurrent neural network models achieve up to 33.6% accuracy improvement on average using the proposed method. These models achieve mean absolute error (MAE) values as low as 0.128 on [0,1] normalized incidence data for a municipality with the highest dengue prevalence in Brazil’s Espirito Santo. When predicting aggregate cases over geographical ecoregions, the models improve by 16.5%, using only 6.5% of ranked incidence data. This paper also presents two correlation window allocation methods: fixed-size and outbreak detection. Both perform comparably well, although the outbreak detection method uses less data for computations. The proposed framework is generalized, and it can be used to improve time-series predictions of many spatiotemporal datasets.

Zika, dengue and chikungunya population prevalence in Rio de Janeiro city, Brazil, and the importance of seroprevalence studies to estimate the real number of infected individuals.

In the last 40 years, Latin America countries, including Brazil, have suffered from the emergence and reemergence of arboviruses, first Dengue (DENV) and recently Zika (ZIKV) and Chikungunya (CHIKV). All three arboviruses are currently endemic in Brazil and have caused major outbreaks in recent years. Rio de Janeiro city, host of the last Summer Olympic Games and the Football World Cup, has been specially affected by them. A surveillance system based on symptomatic reports is in place in Rio, but the true number of affected individuals is unknown due to the great number of Zika, Dengue and Chikungunya asymptomatic cases. Seroprevalence studies are more suitable to evaluate the real number of cases in a given population. We performed a populational seroprevalence survey in Rio, with recruitment of a sample of volunteers of all ages and gender from July to October 2018, within randomly selected census tracts and household. A total of 2,120 volunteers were interviewed and tested with rapid immunochromatographic test for ZIKV, DENV and CHIKV. Individuals with positive results for IgG and/or IgM from only one virus were classified accordingly, while those with test results positive for both ZIKV and DENV were classified as flaviviruses. We corrected for sample design and non-response in data analysis, and calculated point estimate prevalence and 95% confidence intervals for each virus. Arbovirus prevalence in the Rio's population (n = 6,688,927) was estimated at 48.6% [95% CI 44.8–52.4] (n = 3,254,121) for flaviviruses and at 18.0% [95% CI 14.8–21.2] (n = 1,204,765) for CHIKV. Approximately 17.0% [95% CI 14.1–20.1] (n = 1,145,674) of Rio´s population had no contact with any of the three arboviruses. The reported cases of Zika, Dengue and Chikungunya by the current surveillance system in place is insufficient to estimate their real numbers, and our data indicate that Zika seroprevalence could be at least five times and Chikungunya 45 times bigger. The high number of individuals having never been infected by any of the three arboviruses, may indicate a proper scenario for future outbreaks.

GIS-Based analysis of the spatial distribution of dengue disease in Mysuru district and India, 2013-2018

Background and Objective: The dengue disease has become growing menace in the public health concern due to its re-emergence in tropical and subtropical regions. To understand the epidemiology and spatial distribution, a retrospective surveillance study was conducted in Mysore district of Karnataka and India for the year 2013 to 2018. Methods: A comprehensive data about dengue infection, prevalence, transmission and severity in 8 taluks of Mysore district of Karnataka and 35 states of India were mapped through Arc/Geographic Information System (GIS) software. Spatial statistical analysis was performed to identify hot spots and cold spots of dengue disease. Similarly, inverse distance weight (IDW), a spatial autocorrelation tool was also applied to understand the endemicity patterns in the study area. Results: The analysis revealed that Mysore district and India had an increased rate of re-emerging dengue cases during the year 2017 and 2018. The use of GIS software revealed the number of incidences, high and low clustered areas, hotspot and cold spot locations of the registered dengue cases. The IDW tool was used to identify the disease intensity in Mysore district and India. Mysore city stood highest in the district and the lowest clustered area was found to be HD Kote in 2018. Karnataka (17018) stood the third-highest and Arunachal Pradesh (15) stood lowest clustered area in India during 2017. The spatial autocorrelation was projected in the geographical space. Based on the disease, registered case intensity the taluks were characterized into high, average and low endemic areas. Conclusion: The study indicated that socio-economic and socio-cultural variables are highly correlated with the prevalence of Dengue. This visualization approach, IDW-GIS helps the public health officials to identify the zones of disease endemics in executing real-time decisions for preventive and precautionary strategies to control the prevalence of “Dengue-the vector-borne” disease effectively.

Demographic and climatic factors associated with dengue prevalence in a hyperendemic zone in Mexico: an empirical approach.

Many models for predicting dengue epidemics use incidence and short-term changes in climate variables, however, studies in real-life scenarios for correlations of seroprevalence (SP) with long-term climate variables and with integration of socio-economic factors are scarce. Our objective was to analyse the combined correlation between socio-economic and climate variables with the SP of dengue in Mexico. We performed a seroepidemiological ecological study on the Mexican Pacific coast. Dengue SP was estimated by the presence of immunoglobulin G antibodies in 1278 inhabitants. We implemented multiple correlations with socio-economic, climatic and topographic characteristics using logistic regression, generalized linear models and non-linear regressions. Dengue SP was 58%. The age-adjusted correlation was positive with the male sex, while a negative correlation was seen with socio-economic status (SES) and scholl level (SL). The annual temperature showed a positive correlation, while the altitude was negative. It should be noted that these correlations showed a marked 'S' shape in the non-linear model, suggesting three clearly defined scenarios for dengue risk. Low SES and SL showed an unexpected paradoxical protective effect. Altitude above sea level and annual temperature are the main determinants for dengue in the long term. The identification of three clearly delineated scenarios for transmission could improve the accuracy of predictive models.

High Seroprevalence of Dengue Virus Infection in Sudan: Systematic Review and Meta-Analysis.

The goal of this study was to systematically review the published data on dengue virus (DENV) seroprevalence in Sudan and to estimate disease burden through meta-analysis. We searched, reviewed, and extracted online available reports on DENV in Sudan. Among 168 identified records, 19 were selected. Dengue infections were documented in 11/18 states. The overall seroprevalence of DENV in Sudan was estimated to be 27%, while the prevalence of dengue IgM was 22% and IgG was 38%. The prevalence of dengue estimated from community and hospital-based cross-sectional studies were 26% and 30% respectively. Additionally, one cohort study and a single PCR-based study reported a prevalence of 1% and 4%, respectively. Regional analysis revealed that the variation in seroprevalence in East, North, West, and Central Sudan was 23%, 24%, 36% and 43%, respectively. Interestingly, we found that DENV is circulating countrywide with a significant spatiotemporal variation in the disease seroprevalence. Furthermore, publications on dengue prevalence are temporally and geographically fragmented, perhaps due to limited resources. However, this gap in data and knowledge highlights the urgent need for a country-wide surveillance system and continued study of dengue burden in Sudan to accurately estimate the disease prevalence and determine the associated risk factors.

Strategic lockdown and blessing variation – potential success keys against COVID-19

Background: COVID-19, a respiratory illness, has become a pandemic originating from the Wuhan city of China. Earlier, similar diseases like Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome had caused mass mortality in different parts of the globe. Therefore, a similar new disease was of great concern for the humankind. However, it is observed that COVID-19 has a differential rate disease prevalence and mortality among the countries.
 Aims and Objective: This disease has already affected 2.4 million people globally, leading to healthcare disasters, financial meltdowns due to worldwide lockdowns. Our objective was to evaluate the effect of lockdown in India and to characterize the functional implications of genetic variations of SARS-CoV-2 (the causative virus).
 Materials and Methods: Epidemiological data for COVID-19 was taken from WHO and other national or international bodies to evaluate the prevalence of the disease in different countries. A statistical modeling was done to estimate the probable number of COVID-19 affected persons with or without lockdown. Bioinformatic analyses were done to identify mutational variations of SARS-CoV-2 and their functional implications.
 Results: Statistical modeling predicted that number of COVID-19 case could be much higher without lockdown in countries. Countries with malaria and dengue prevalence are less affected by COVID-19. Bioinformatic analyses revealed presence of an Indian SARS-CoV-2 SP1 variant with lesser capability of human receptor binding.
 Conclusion: Lockdown and deliberate testing has played key important role in prevention of disease transmission. Indian variant of SARS-CoV-2 with less affinity towards human receptor may have a role for lesser virulence.

Spatial modeling of Dengue prevalence and kriging prediction of Dengue outbreak in Khyber Pakhtunkhwa (Pakistan) using presence only data

During the span of August–October, 2017 a major outbreak of Dengue fever happened in Khyber Pakhtunkhwa province of Pakistan. Cases were reported from all the major cities and rural areas, but Peshawar was more severely hit with more than half of the total cases belonging to central Peshawar city. The epidemic patterns reveal that dengue fever cases were mostly reported for plain areas and also low altitude mountainous regions. We employed the principle of maximum entropy to establish the underlying distribution of dengue presences and background data. A geostatistical analysis was conducted by modelling the spatial structure of the dengue fever risk and estimating the prediction maps with corresponding uncertainty taking into account some of the most significant covariates. The prediction maps were created using binomial kriging with a binary logistic drift. The analysis was carried out for the whole province as well as subregions to have a closer look of the spatial distribution at local level. Our results show that our methodology performed well. Vector distribution, population density, and distance to roads were found to significantly affecting the spatial distribution of risk and gives very informative pattern.

Spatio-Temporal Investigations of Dengue Fever in Pakistan Through an HL7 Based Public Health Framework for Hotspot Analysis

The importance of a standard based interoperability framework is now widely recognized. In order to understand the challenges, feasibility and impact of outcomes of such architectures for public health improvement, it is important to implement and demonstrate the usefulness of data analytics based on pathway provided by the framework. This work provides an implementation details and results of transferring dengue data from source database to data analytical programs used by public health authorities. Dengue fever, a mosquito-borne disease that occurs in tropical and subtropical areas of the world, is considered to be a significant threat in both developing and the developed countries. This study investigates the spatio-temporal distribution of dengue in Pakistan from the years 2014-2017 and identify the most frequently affected hotspots of dengue across the the 3 provinces in the country using data mining, clustering and GIS based analysis of data. In addition, the identification of most vulnerable dengue locations has led to investigation into the potential environmental or geographical conditions that may have contributed to dengue prevalence in the area. These investigations present interesting results that shows positive correlation for temperature, humidity and population density with the dengue incidences. In addition, the results are able to identify disease hotspots over time windows that can be mapped to any spatio-temporal scales. The outcome of this research is crucial for optimal use of resources for combating dengue fever at a regional or national scale by identifying the hotspots. The hotspots identified can be use to create a sentinel surveillance network for a pandemic disease. In addition, the work serves as a useful reference for a comprehensive national level early warning and rapid disease outbreak detection framework for any disease of public health context.

Simulating Dengue: Comparison of Observed and Predicted Cases from Generic Reaction-Diffusion Model for Transmission of Mosquito-Borne Diseases

Dengue is a mosquito-borne disease caused by virus and found mostly in urban and semi-urban areas, in many regions of the world. Female Aedes mosquitoes, which usually bite during daytime, spread the disease. This flu-like disease may progress to severe dengue and cause fatality. A generic reaction-diffusion model for transmission of mosquito-borne diseases was proposed and formulated. The motivation is to explore the ability of the generic model to reproduce observed dengue cases in Borneo, Malaysia. Dengue prevalence in four districts in Borneo namely Kuching, Sibu, Bintulu and Miri are compared with simulations results obtained from the temporal and spatio-temporal generic model respectively. Random diffusion of human and mosquito populations are taken into account in the spatio-temporal model. It is found that temporal simulations closely resemble the general behavior of actual prevalence in the three locations except for Bintulu. The recovery rate in Bintulu district is found to be the lowest among the districts, suggesting a different dengue serotype may be present. From observation, the temporal generic model underestimates the recovery rate in comparison to the spatio-temporal generic model.

Seroprevalence of dengue infection in clinically suspected cases of dengue at tertiary care hospital in Gujarat

Objective: Dengue virus is the most common arbo virus found in India. Our study has conducted to study the epidemiological and demographic characteristic of dengue fever during the year 2017 in Ahmedabad region of Gujarat state India. Materials and Methods: A retrospective study was performed at the Department of Microbiology, Dr. M.K.Shah Medical College and research centre and smt. S.M.S. multispeciality hospital Ahmedabad, Gujarat from July 2017 to October 2017. A total of 611 blood samples were collected during the study period and serologically tested for dengue NS1 antigen and IgM antibody by capture ELISA testing. Patient with clinically suspected dengue and found positive for dengue NS1 antigen and/or dengue IgM Ab was considered as a case. The data was entered in software and analyzed. Results: We have tested 611 serum samples for dengue infection during the study period in our hospital. Out of which 104(17%) serum samples were positive for dengue infection. 77 serum samples were positive for Dengue NS1 antigen ELISA and 27 serum samples are positive for Dengue IgM ELISA. Majority of samples were tested positive in age group 14-25 year (64.5%) and 26-60 year (32.7%). It shows prevalence of dengue infection is more in male (82.7%) than female (17.3%). Conclusion: Rapid urbanization in developing countries increases prevalence of dengue. Virus activity is high during monsoon and post monsoon period which co-insides with increase vector breeding. Effective implementation of vector control measures through efforts toward vector breeding source reduction help in reduction of the dengue prevalence in community. Keywords: Dengue, NS1 antigen, IgM antibody, Seroprevalence.

Host serum iron modulates dengue virus acquisition by mosquitoes.

A blood meal is the primary route through which mosquitoes acquire an arbovirus infection. Blood components or their metabolites may regulate the susceptibility of mosquitoes to arboviruses. Here we report that serum iron in human blood influences dengue virus acquisition by mosquitoes. Dengue virus acquisition by Aedes aegypti was inversely correlated with the iron concentration in serum from human donors. In a mouse-mosquito acquisition model, iron supplementation reduced dengue virus prevalence and viral load, whereas neutralization of serum iron facilitated dengue virus infection in A. aegypti mosquitoes. Of note, mosquitoes feeding on iron-deficient (sideropenic) mice exhibited a higher prevalence of dengue virus. Reversal of the sideropenic status of hosts largely reduced dengue virus acquisition and infection by mosquitoes. Serum iron, rather than haem-bound iron, was utilized by the mosquito iron metabolism pathway to boost the activity of reactive oxygen species in the gut epithelium, subsequently inhibiting infection by dengue virus. On the basis of these results, a status of iron deficiency in the human population might contribute to the vectorial permissiveness to dengue virus, thereby facilitating its spread by mosquitoes.

Impact of adult mosquito control on dengue prevalence in a multi-patch setting: A case study in Kolkata (2014–2015)

Dengue is one of the deadliest mosquito-borne disease prevalent mainly in tropical and sub-tropical regions. Controlling the spread of this disease becomes a major concern to the public health authority. World Health Organization (WHO) adopted several mosquito control strategies to reduce the disease prevalence. In this work, a general multi-patch non-autonomous dengue model is formulated to capture the temporal and spatial transmission mechanism of the disease and the effectiveness of different adult mosquito control strategies in reducing dengue prevalence is evaluated. During the period (2014–2015) the dengue situation of Kolkata which is one of the most dengue affected city in India is considered in our study. Depending on geographical location, Kolkata is divided into five regions and our model is fitted to the monthly dengue cases of these five regions during the above-mentioned period. By considering control specific characteristics (e.g. efficacy, environment persistence) of the mosquito control strategies, we study the efficiency of three adult mosquito controls and their combined effect in reducing dengue prevalence. From our study, it is observed that control with higher environment persistence performs better in comparison to the controls having low environment persistence. It is also observed that, connectedness between the regions play a key role in the effectiveness of the control strategies.

Seasonal variation and Seroprevalence of Dengue fever in Karachi, Pakistan

Introduction: Dengue fever is a rapidly emerging arthropod born viral disease becoming an international public health problem. Approximately 500,000 people suffer from dengue hemorrhagic fever and dengue shock syndrome with 20,000 deaths annually.
 Objective: To identify seasonal variation and seroprevalence of dengue fever for primary and secondary dengue infections.
 Methodology: The study was conducted on 4900 plus subjects with mean age of 30 years, admitted to Dow University Hospital, Karachi. Reported cases were diagnosed by immuno-chromatography kit, used to measure the presence of IgG and IgM antibodies against dengue virus.
 Results: Seasonal variation of seropositive dengue patient from 2010 to 2013 showed most prominent dengue fever disease onset found in the month of October whereas least seen in the months from Jan to April. Age wise younger subjects were more prone to the infection with mean age of 21 to 30 years. 64% of the total febrile seropositive cases were male as compare to female patients noted 36%.
 Conclusion: Dengue disease is a threat to Pakistani population, being a developing country there should be more focus in eradicating this debilitating disease, to reduce the economic burden. Through adapting vaccination strategies, proper sanitation and awareness programs. Special campaign for sprays and dengue control measures prior to month of October and fall season should be adopted essentially on regular basis.
 Keywords: Dengue fever, haemorrhagic fever, dengue virus, dengue Prevalence, IgG

Prevalence and Distribution of Dengue Virus in Aedes aegypti in Yogyakarta City before Deployment of Wolbachia Infected Aedes aegypti.

Indonesia is one of the countries where dengue infection is prevalent. In this study we measure the prevalence and distribution of dengue virus (DENV) DENV-infected Aedes aegypti in Yogyakarta City, Indonesia, during the wet season when high dengue transmission period occurred, as baseline data before implementation of a Wolbachia-infected Aedes aegypti trial for dengue control. We applied One-Step Multiplex Real Time PCR (RT-PCR) for the type-specific-detection of dengue viruses in field-caught adult Aedes aegypti mosquitoes. In a prospective field study conducted from December 2015 to May 2016, adult female Aedes aegypti were caught from selected areas in Yogyakarta City, and then screened by using RT-PCR. During the survey period, 36 (0.12%) mosquitoes from amongst 29,252 female mosquitoes were positive for a DENV type. In total, 22.20% of dengue-positive mosquitoes were DENV-1, 25% were DENV-2, 17% were DENV-3, but none were positive for DENV-4. This study has provided dengue virus infection prevalence in field-caught Aedes aegypti and its circulating serotype in Yogyakarta City before deployment of Wolbachia-infected Aedes aegypti.

Knowledge and Practices Regarding Aedes Control Amongst Residents of Dengue Hotspot Areas in Selangor: A Cross-Sectional Study

Dengue fever is endemic and remains a public health concern in Malaysia. The highest number of dengue cases occurred in Selangor in 2015. The majority of hotspot and outbreak areas in Malaysia were located in residential areas. Despite the high number of dengue prevalence in Malaysia, evidence for the level of community knowledge and practice of methods for Aedes control and prevention in the country remains scant. This cross-sectional study aimed to assess the demographic factors associated with the knowledge and practice of Aedes control and prevention methods. It also aimed to assess the associations and relationships between the public knowledge and practice of Aedes control and preventive activities involving Aedes larvae ovitraps (ALOTs), Mousticide, Denguard and other methods. Two residential areas that were considered as dengue hotspots were selected for the introduction of Aedes control and prevention programs. A sample size was calculated using G*power and a total of 152 residents who attended the dengue awareness events held at Section 3 and Section 8, Bandar Baru Bangi, Selangor, were recruited. A purposive sampling approach was adopted, and data were collected by using a pretested questionnaire with three subsections on sociodemographic information and on the knowledge and practice of Aedes control and prevention methods. No statistically significant (p>0.05) relationship between demographic factors and knowledge and practice scores was found. The results of χ2 square test showed a strong (φ-coefficient = 0.605) and significant (p<0.001) association between knowledge and practice scores. In addition, a strong and significant positive correlation (r=0.648, p<0.001) existed between knowledge and practice scores. In conclusion, health promotion programs that focus on educating the public regarding the use of Aedes larvae ovitraps (ALOTs), Mousticide, Denguard and other methods to prevent and control Aedes mosquitoes and that involve multiple stakeholders, such as government officials and responsible authorities, and the active participation of communities are crucial in the war against Aedes.

Reply to Comments on the Study "The Sensitivity, Specificity and Accuracy of Warning Signs in Predicting Severe Dengue, the Severe Dengue Prevalence and its Associated Factors".

Thank you for the comments received on the article "The Sensitivity, Specificity and Accuracy of Warning Signs in Predicting Severe Dengue, the Severe Dengue Prevalence and its Associated Factors" [...].

Comments on the Study "The Sensitivity, Specificity and Accuracy of Warning Signs in Predicting Severe Dengue, the Severe Dengue Prevalence and Its Associated Factors".

Comments were made on the article “The Sensitivity, Specificity and Accuracy of Warning Signs in Predicting Severe Dengue, the Severe Dengue Prevalence and Its Associated Factors” found in the journal “International Journal of Environmental Research and Public Health” based on the CASP Checklist’s guide for the assessment of diagnostic tests.

Board Game as an Educational Game Media to an Effort to Change the Attitude of Dengue Prevention in School-Aged Children

Background: Indonesia is the second highest country for dengue prevalence, and the cases has rapidly increased in the last 45 years. Compared to other age groups, the age group of children is the highest dengue fever prevalence. The attitude of dengue prevention is important for child which related to their skill to preventing the dengue fever by themselves. A game is one of the way to teach the children for a new information, it is also including the dengue prevention material&#x0D; Objective: This study want to identify the attitude of the children about dengue prevention and develop an educational game to teach a new information about dengue prevention.&#x0D; Methods: This study uses quasi-experimental design with pre and posttest with control group. The participants are a school-aged children with age 10-12 years old. With total 92 participants, and 46 for each group.&#x0D; Results: The results show a significantly increasing score at children attitude of dengue prevention before and after intervention except the strategy to closing the water storage (p=0.008), the other strategy that gets a significantly increasing such as fever and fever management (p=0.000), draining the water storage (p=0.001), checking the water storage (p=0.000), recycling (p=0.000), chemistry agent (p=0.000), biology agent (p=0.000), self protection (p=0.001), immune system (0.000). There are different attitude between control and intervention groups (p=0.000).&#x0D; Conclusion: The conclusion is the dengue board game can be an educational game media to give dengue prevention information to children, also can improving the attitude of dengue prevention.&#x0D; &#x0D; Keywords: Board Game, Dengue Prevention Strategy, School-Aged Children