Highest Number Of Dengue Cases Research Articles

Pengendalian Sarang Nyamuk dan Kepadatan Jentik Aedes sp. di Kelurahan Kalumbuk Kecamatan Kuranji Kota Padang

Dengue Hemorrhagic Fever (DHF) is a disease caused by the dengue virus transmitted through the bite of the Aedes sp mosquito. This disease is endemic in Padang City, where 11 sub-districts have been recorded as being infected with dengue fever, the 3 sub-districts with the highest number of dengue cases, one of which is Kuranji sub-district with the highest number of cases. The aim of this research was to determine the relationship between controlling mosquito nests and the density of Aedes sp larvae. in Kalumbuk Village, Kuranji District, Padang City. This research design is analytical observation with a cross sectional approach. The research was carried out in September - December 2023. The population of this study was 460 families. Using a proportional random sampling technique using the Slovin formula, a sample of 82 families was obtained, and the data analysis used was the chi-square test statistic. The results of the research show that the implementation of controlling mosquito nests in Kalumbuk Village, Kuranji District is classified as poor (46.3%), larval density does not meet the quality standards, namely 91.5% (<95%), there is a relationship between controlling mosquito nests and Aedes larvae density. sp. with a p-value of 0.003. Conclusion: there is a significant relationship between controlling mosquito nests and the density of Aedes sp larvae. in Kalumbuk Village, Kuranji District, Padang City. It is recommended that the Community Health Center conduct outreach and activate 1 house 1 jumantik and the community can control mosquito nests with the 3M Plus program periodically once a week so that it can break the chain of transmission of dengue fever.

Are Land Use and Cover Changes and Socioeconomic Factors Associated with the Occurrence of Dengue Fever? A Case Study in Minas Gerais State, Brazil

Several studies have already demonstrated the relationship between the loss of natural habitats and the incidence of diseases caused by vectors, such as dengue, which is an acute fever disease that is considered a serious public health problem. The aim of the present study was to investigate the relationship between the number of dengue cases and land use and cover changes (LUCC) and socioeconomic and climatic factors by municipality, using the state of Minas Gerais as a case study. For this, secondary data obtained from openly available sources were used. Natural vegetation cover data were obtained from the MAPBiomas platform and dengue occurrence data from the Ministry of Health, in addition to eight socioeconomic parameters from the Brazilian Institute for Geography and Statistics and precipitation data from the Brazilian Agricultural Research Corporation (EMBRAPA, Sete Lagoas, Minas Gerais). Between 2015 and 2019, 1,255,731 cases of dengue were recorded throughout the state of Minas Gerais, ranging from 0 to 227 per thousand inhabitants between municipalities. The occurrence of dengue was distributed throughout all regions of Minas Gerais and was associated with LUCC and socioeconomic factors. In general, municipalities with a net loss of natural vegetation, predominantly located in the Cerrado biome, had the highest number of dengue cases in the studied period. Additionally, the occurrence of dengue was associated to three socioeconomic parameters: population density, human development index (both positively), and Gini inequality index (negatively). These results indicate that, contrary to expectations, municipalities with better social conditions had more dengue cases. Our study indicates that natural vegetation is, directly or indirectly, involved in the ecosystem service of dengue control, despite the occurrence of this disease being affected by multiple factors that interact in a complex way. Thus, policies towards reducing deforestation must be complemented by a continuous investment in public health policies and a reduction in social inequalities to efficiently control dengue fever.

Dengue and climate changes: Increase of DENV-1 in São Paulo/Brazil – 2023

Dengue is a vector borne disease caused by virus serotypes DENV-1, DENV-2, DENV-3, and DENV-4, representing a significant public health concern in the Region of the Americas (2,997,097 cases in 2023). This study explores the relationship between dengue incidence and climate changes in the city of São Paulo-Brazil. During the first semester of 2023, Brazil reported the highest number of dengue cases in Americas’ Region. Our data reveals a correlation between the high temperature and rainfall season persistence and the extension of dengue incidence into the winter season. The findings highlight the importance of understanding the relationship between climate change and disease transmission patterns to develop effective strategies for prevention and control.

Dengue in Timor-Leste during the COVID-19 phenomenon.

Dengue is a significant public health problem in mostly tropical countries, including Timor-Leste. Dengue continues to draw attention from the health sector during the COVID-19 phenomenon. Therefore, the goal of this study is to evaluate the dengue incidence rate in comparison with the COVID-19 cumulative number and associated dengue risk factors, including the fatality rate of dengue infection in each municipality during the COVID-19 phenomenon in Timor-Leste, by applying the data processing program in Geographic Information Systems (GIS). A descriptive study using GIS was performed to provide a spatial-temporal mapping of dengue cases. Secondary data, which were sourced from the Department of Health Statistics Information under the Ministry of Health Timor-Leste, were collected for the period during the COVID-19 outbreak in 2020-2021. These data were grounded at the municipal (province) level. Quantum GIS and Microsoft Excel were used to analyze the data. During the COVID-19 outbreak (2020-2021), dengue spread nationwide. It was found that there was an increase in municipalities with high dengue cases and cumulative COVID-19 numbers. The high number of dengue cases associated with the COVID-19 cumulative number found in municipalities with an urban characteristic and in terms of severity, dengue fever (DF) is most commonly reported with a total of 1,556 cases and is followed by dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS). Most cases were reported in the months of the monsoon season, such as December, January, and March. Dengue GIS mapping helps understand the disease's presence and dynamic nature over time.

Epidemiologic Trends of Dengue in U.S. Territories, 2010-2020.

Dengue is one of the most common vectorborne flaviviral infections globally, with frequent outbreaks in tropical regions. In 2019 and 2020, the Pan American Health Organization reported approximately 5.5 million dengue cases from the Americas, the highest number on record. In the United States, local dengue virus (DENV) transmission has been reported from all U.S. territories, which are characterized by tropical climates that are highly suitable for Aedes species of mosquitoes, the vector that transmits dengue. Dengue is endemic in the U.S. territories of American Samoa, Puerto Rico, and the U.S. Virgin Islands (USVI). Dengue risk in Guam and the Commonwealth of the Northern Mariana Islands is considered sporadic or uncertain. Despite all U.S. territories reporting local dengue transmission, epidemiologic trends over time have not been well described. 2010-2020. State and territorial health departments report dengue cases to CDC through ArboNET, the national arboviral surveillance system, which was developed in 2000 to monitor West Nile virus infections. Dengue became nationally notifiable in ArboNET in 2010. Dengue cases reported to ArboNET are categorized using the 2015 Council of State and Territorial Epidemiologists case definition. In addition, DENV serotyping is performed at CDC's Dengue Branch Laboratory in a subset of specimens to support identification of circulating DENV serotypes. During 2010-2020, a total of 30,903 dengue cases were reported from four U.S. territories to ArboNET. Puerto Rico reported the highest number of dengue cases (29,862 [96.6%]), followed by American Samoa (660 [2.1%]), USVI (353 [1.1%]), and Guam (28 [0.1%]). However, annual incidence rates were highest in American Samoa with 10.2 cases per 1,000 population in 2017, followed by Puerto Rico with 2.9 in 2010 and USVI with 1.6 in 2013. Approximately one half (50.6%) of cases occurred among persons aged <20 years. The proportion of persons with dengue who were hospitalized was high in three of the four territories: 45.5% in American Samoa, 32.6% in Puerto Rico, and 32.1% in Guam. In Puerto Rico and USVI, approximately 2% of reported cases were categorized as severe dengue. Of all dengue-associated deaths, 68 (0.2%) were reported from Puerto Rico; no deaths were reported from the other territories. During 2010-2020, DENV-1 and DENV-4 were the predominant serotypes in Puerto Rico and USVI. U.S. territories experienced a high prevalence of dengue during 2010-2020, with approximately 30,000 cases reported, and a high incidence during outbreak years. Children and adolescents aged <20 years were disproportionately affected, highlighting the need for interventions tailored for this population. Ongoing education about dengue clinical management for health care providers in U.S. territories is important because of the high hospitalization rates reported. Dengue case surveillance and serotyping can be used to guide future control and prevention measures in these areas. The Advisory Committee on Immunization Practices recommends vaccination with Dengvaxia for children aged 9-16 years with evidence of previous dengue infection and living in areas where dengue is endemic. The recommendation for the dengue vaccine offers public health professionals and health care providers a new intervention for preventing illness and hospitalization in the age group with the highest burden of disease in the four territories (Paz Bailey G, Adams L, Wong JM, et al. Dengue Vaccine: Recommendations of the Advisory Committee on Immunization Practices, United States, 2021. MMWR Recomm Rep 2021;70[No. RR-6]). American Samoa, Puerto Rico, and USVI are all considered endemic areas and persons residing in these areas are eligible for the new dengue vaccine. Persons aged 9-16 years in those jurisdictions with laboratory evidence of previous dengue infection can receive the dengue vaccine and benefit from a reduced risk for symptomatic disease, hospitalization, or severe dengue. Health care providers in these areas should be familiar with the eligibility criteria and recommendations for vaccination to reduce the burden of dengue among the group at highest risk for symptomatic illness. Educating health care providers about identification and management of dengue cases can improve patient outcomes and improve surveillance and reporting of dengue cases.

Faktor Risiko Aspek Lingkungan dan Aspek Perilaku terhadap Kejadian Demam Berdarah Dengue (DBD) di Wilayah Kerja Puskesmas Sukmajaya Kota Depok Tahun 2022

Introduction: Dengue Hemorrhagic Fever (DHF), commonly known as Dengue Hemorrhagic Fever (DHF), is an acute viral infectious disease caused by the dengue virus belonging to the Arthropod-Borne virus, genus Flavivirus, family Flaviviridae. In 2020, the Sukmajaya sub-district has a high number of dengue cases, there are 153 cases. Objectives: This study aimed to determine the description of risk factors from environmental and behavioral aspects to the incidence of dengue hemorrhagic fever in the working area of Sukmajaya Public Health Center, Depok City. Method: This research method uses a quantitative method with a descriptive approach and in this research, we get 65 respondents by taking data using a checklist. Result: The description of the characteristics of the community shows that women and men have the same opportunity to get DHF, those aged 26-65 years who are vulnerable to being infected, the level of education is still low so they still don't know about prevention of DHF. The description of the behavioral aspect was obtained by respondents whose preventive behavior was good, namely as many as 39 (60%) of respondents and 26 (40%) of respondents whose prevention preventives were not good. An overview of environmental aspects showed that 25 (38.5) respondents found larvae in their homes. And as many as 40 (61.5%) respondents at home did not find any larvae. Conclusion: The results of the health degree study found that the 10 highest diseases in the Sukmajaya Public Health Center, Depok City were against DHF in the first order.

Quality of life of dengue patients in Panembahan Senopati regional general hospital

Yogyakarta is one of the top 10 cities with the highest number of dengue cases in Indonesia. One of the reasons for this is the lack of knowledge about the dengue virus in the community. To find out the quality of life of dengue patients in the Bantul Penembahan Senopati Public Hospital. This research uses the descriptive method with a cross-sectional design. The sampling technique utilized was the purposive sampling method. 18 research subjects were chosen as the sample with an inclusion criteria of patients undergoing inpatient treatment and aged &gt; 4 years of age. This study used the EQ-5D-5L and EQ-5D-Y. The quality of life of 70% of the adult patients experienced pain of EQ-VAS 67 ± 17.191, while all child patients experienced pain of EQ-VAS 54.375 ± 11.783. The quality of life of dengue patients was measured with the EQ-5D-5L for adults and EQ-5D-Y for children and obtained a poor score due to a decrease in the dimension of pain felt and the usual activities done such as working, studying, and playing.

Impact of Plantation Induced Forest Degradation on the Outbreak of Emerging Infectious Diseases-Wayanad District, Kerala, India.

Simple SummaryThe emerging infectious diseases (EIDs) have increased recently due to forest degradation. This research is an attempt to understand the direct and indirect impact of forest degradation on infectious disease outbreaks in a specific context of the Wayanad district in Kerala, India. The study was done in two parts. In the first part, land use and land cover change of the Wayanad district was analyzed for the period of 1950 to 2018. The result of the analysis shows that a significant amount of forest has been converted into agricultural and forest plantations over the time. The second part involves understanding the impact of plantations on the outbreak of EIDs. We have employed GIS tools, remote sensing data, extensive field work and disease data to discover the relationship between the LULCC and disease outbreak. It was found that cases of EIDs were high in those gram panchayats where forests were encroached by plantations.The world has been facing a pandemic owing to COVID-19. We have also seen the geographic expansion and outbreaks of other emerging infectious diseases (EID) in recent years. This paper investigates the direct and indirect effects of land use land cover change (LULCC) on EID outbreaks in the context of Wayanad District of Kerala, India. Wayanad is in the vulnerable tropical forested region, and it is named as one of the four environmental change hotspots. The focus of this project is mainly three EIDs prevalent in this region: Kyasanur forest disease (KFD), Dengue and Leptospirosis. Our results, based on topographical map, remote sensing and extensive field work, show that the natural forest in Wayanad was replaced with agriculture and forest plantation during 1950–2018. This paper further suggests that encroachment of forest by forest plantation causes the human–animal conflict resulting in the outbreak of KFD cases. Our analysis reveals that a high number of Dengue cases is found in the forested regions of the district and over the adjacent human-made agriculture plantation areas. High and medium number of Leptospirosis cases contain a high portion of land area devoted to paddy cultivation and agricultural plantation. In summary, the results clearly show the linkage between the outbreak of above mentioned EIDs and LULCC in the context of Wayanad district, Kerala. We also discuss in detail the causal pathway involving human–environmental dynamics through which plantation leads to the outbreak of KFD. Replacing forests with plantations poses an alarming threat of disease outbreak in the community.

PREVALENCE OF DENGUE HEMORRHAGIC FEVER IN BALI FROM 2015 TO 2020 AND DURING THE COVID-19 PANDEMIC

Background: Dengue hemorrhagic fever cases increased significantly during the COVID-19 pandemic phase. Purpose: This study defines, describes, and evaluates the dengue hemorrhagic fever incidence in Bali Province from 2015 to 2020 and in the context of the COVID-19 pandemic. Methods: The various types of descriptive study with case series design. The study used an environmental epidemiology approach to analyze the health profile of Bali Province. The number of DHF cases in 2015-2020, DHF-related morbidity and death rates, larva-free rates, climate, population and population density, and gender were variables in this study. The study took place in May and June 2021. Results: The prevalence of dengue hemorrhagic fever in the province of Bali fluctuated between 2015 and 2020. The highest number of dengue cases in 2016 was 20,306, and they fell from 2017 to 2019. Cases doubled in 2020, up by 12,173. The endemic areas with the highest prevalence of cases are in the districts of Buleleng and Badung. The highest incidence rate was in 2016 at 483/100,000 population, and for the last five years, it has not met the national target of 49/100,000 population. The highest CFR figure in 2020 was 0.43%, an increase of 1.5 times during the COVID-19 pandemic. Conclusion: The prevalence of dengue hemorrhagic fever cases in Bali in 2015 – 2020 fluctuated significantly, and mortality due to dengue during the COVID-19 pandemic experienced a significant increase.

An epidemiological prospective of focal outbreak of dengue infection in Kathmandu, Nepal

Background In 2019, highest number of dengue cases ever were reported in Nepal. This article highlights an epidemiological prospective of dengue infection incidence in Swyambhu, Kathmandu.Methods Retrospective data of 563 dengue suspected patients was collected from Council of Community Health Services (CCHS) Swyambhu, Kathmandu and analyzed. All samples were tested for complete blood count and NS1 antigen and 32 samples (NS1 antigen negative) for anti-dengue IgM & IgG antibody.Results Out of 563 suspected patients, 370 (65.7%) were positive for dengue infection, 365 (n = 563) NS1 antigen positive and 5 (n = 32) anti-dengue IgM antibody positive while none were anti-dengue IgG positive. Among positive cases, ratio of female and male was 1:1. In ethnicity-wise distribution of positive cases, Newar was 60.1%, Tamang 15.0%, Chhetri 13.1% and Brahmin 10.3%. Symptoms like high grade fever (95.5%), nausea (74.0%), headache (44.0%) and gum and nose bleeding (2.9%) were recorded. Mean white blood cells count was 4059.11 cells/cumm, mean platelet count was 169,454.30 cells/cumm and mean hematocrit was 44.0%. Age groups 16–30 years and 31–45 years were statistically significant for nausea compared to other age groups. NS1 antigen positivity was statistically significant in the age groups from 16 to 60 years. Symptoms like retino-orbital pain, head-ache, nose/gum bleeding, petechaie formation was found statistically significant (p < 0.005).Conclusion Higher number of NS1 antigen positive cases indicates active dengue infection circulating in the community. There is need for preparedness to prevent massive outbreaks in future and perform extensive epidemiological studies.

Autokorelasi Spasial Demam Berdarah Dengue di Kota Tasikmalaya

Abstract. Tasikmalaya city is a high endemic dengue area which contributes to the high number ofdengue cases in West Java province. This study aims to analyze the geographic distribution patternof dengue infection at the village level and identify high-risk urban villages in Tasikmalaya City. Thisstudy analyzed the surveillance data of dengue cases in 2016–2020 which was routinely managed bythe Tasikmalaya City Health Office. Variables analyzed included date, patient’s name and address(villages). The map data in the form of a shape file (shp.) were obtained from BPS in 2019. The spatialautocorrelation analysis uses two approaches, (the global Moran Index and LISA). The results showedthat DHF cases in the Tasikmalaya city tend to increase in the last 5 years (2016–2020). The highestnumber of annual and monthly dengue cases occurred in 2020, (1,744 cases and 307 cases) withthe incidence rate peaked at 262.6561 per 100,000 population. The global Moran index test using asignificance level of 5 showed that there is a spatial autocorrelation between adjacent sub-districts ofdengue cases in Tasikmalaya city every year for the last 5 years (2016–2020, and cumulative). Thevalue of the global moran index (I) shows a positive correlation between urban villages to the numberof annual dengue cases for the last 5 years and is cumulative. It can be concluded that there aresimilarities in the characteristics of DHF cases in adjacent villages or the relationship between DHFcases tends to be spatially clustered.

Factors related to the presence of mosquito eggs trapped in ovitraps DHF-endemic areas in Kendari City, Indonesia

Background: Dengue hemorrhagic fever (DHF), one type of infectious disease caused by the dengue virus, is still becoming a public health problem in Indonesia. The high number of dengue cases in Indonesia, especially in Kendari City itself, is closely related to environmental conditions, especially when it is known that the city has entered the rainy season.Objective: This study aimed to identify and analyze the factors associated with the presence of mosquito eggs trapped in ovitraps DHF-endemic area in Kendari City, Indonesia.Methods: This study used an analytic observational approach with a cross-sectional design. The research sample in this study was 50 houses located in endemic areas of Kendari selected using simple random sampling. Data were collected by observation using a checklist sheet and direct observation in each room of the respondent's house based on lighting, temperature, humidity, and physical environmental conditions, as well as the presence of mosquito eggs or larvae trapped in the ovitrap. The analysis was carried out in two stages, namely univariate analysis and bivariate analysis using the Chi-Square test.Result: From 50 houses observed, 13 houses (26%) had the presence of mosquito eggs, 42 houses (84%) had bad air temperature, 19 houses (38%) had poor humidity, and 35 houses (70%) had a higher frequency. In addition, the temperature, lighting, and environmental conditions did not have a significant relationship with the presence of mosquito eggs in ovitraps in endemic areas of Kendari City, with p-values of 0.94, 0.52, and 0.39, respectively. In contrast, the humidity factor has a significant relationship with the presence of eggs with a p-value of 0.000.Conclusion: There was a significant relationship between humidity and the presence of mosquito eggs in ovitraps in endemic areas of Kendari City, Indonesia. It is recommended that residents increase Mosquito Nest Eradication (PSN) activities, perform selective abatization, and disseminate information about DHF through counseling or other activities conveyed through health workers with full support from community leaders and adjusted to the level of education of the local population.

Mapping The Number Of Dengue Fever Cases In West Sumatera Using Spatial Regression Analysis

Dengue Hemorrhagic Fever (DHF) is a disease caused by the dengue virus and transmitted from Aedes spp. DHF is one of the health problems faced by all countries in the world. One country that has a high number of dengue cases is Indonesia, so it is necessary to make efforts to reduce this problem. The purpose of this study was to determine the factors that influence the spread of the number of DHF cases by considering the spatial relationship using Spatial Regression Analysis. The data used in this study are secondary data obtained from the Health Profile of West Sumatra Province in 2020 and West Sumatra Province in Figures in 2020. The results of the study using Spatial Regression Analysis obtained a regression model, namely the SAR Model which shows the factors that influence the number of DHF cases. namely percentage of healthy latrine ownership, percentage of the total population, population density, percentage of poor people, and area height.

Identification of predictors and model for predicting prolonged length of stay in dengue patients.

Purpose: Our objective is to identify the predictive factors and predict hospital length of stay (LOS) in dengue patients, for efficient utilization of hospital resources. Methods: We collected 1360 medical patient records of confirmed dengue infection from 2012 to 2017 at Max group of hospitals in India. We applied two different data mining algorithms, logistic regression (LR) with elastic-net, and random forest to extract predictive factors and predict the LOS. We used an area under the curve (AUC), sensitivity, and specificity to evaluate the performance of the classifiers. Results: The classifiers performed well, with logistic regression (LR) with elastic-net providing an AUC score of 0.75 and random forest providing a score of 0.72. Out of 1148 patients, 364 (32%) patients had prolonged length of stay (LOS) (> 5 days) and overall hospitalization mean was 4.03 ± 2.44 days (median ± IQR). The highest number of dengue cases belonged to the age group of 10-20 years (21.1%) with a male predominance. Moreover, the study showed that blood transfusion, emergency admission, assisted ventilation, low haemoglobin, high total leucocyte count (TLC), low or high haematocrit, and low lymphocytes have a significant correlation with prolonged LOS. Conclusion: Our findings demonstrated that the logistic regression with elastic-net was the best fit with an AUC of 0.75 and there is a significant association between LOS greater than five days and identified patient-specific variables. This method can identify the patients at highest risks and help focus time and resources.Supplementary InformationThe online version contains supplementary material available at 10.1007/s10729-021-09571-3.

Effectiveness of a single-dose mass dengue vaccination in Cebu, Philippines: A case-control study

BackgroundDengue fever is an important public health problem in the Philippines. In April 2016, the Department of Health launched a three-dose school based dengue vaccination program of nine- to fourteen-year-old children in three regions with the highest number of dengue cases using CYD-TDV (Dengvaxia, Sanofi Pasteur). In July 2017, a community-based dengue vaccination program was implemented in Cebu province. The program was discontinued in December 2017 amidst public controversy, after the first dose had been administered. We assessed the effectiveness of a single dose of CYD-TDV against hospitalized virologically confirmed dengue (VCD). MethodsWe conducted a case-control study in Cebu province following the dengue mass vaccination. Children who were nine to fourteen years of age during the mass vaccination and subsequently admitted to any of four participating public hospitals with suspected dengue were enrolled in the study as cases. Blood for RT-PCR and clinical and socio-demographic information were obtained. To estimate the level of vaccine protection, vaccination status was compared between children with hospitalized virologically confirmed dengue and controls of the same six-year age-group as the cases, matched on sex, neighborhood and time of occurrence of cases. FindingsWe enrolled 490 cases and 980 controls. Receipt of one dose of CYD-TDV was associated with 26% (95 % CI, −2 to 47%; p = 0 0675) overall protection against hospitalized virologically confirmed dengue and 51% (95 % CI, 23 to 68; p = 0 0016) protection against dengue with warning signs. InterpretationA single dose of CYD-TDV given to nine to fourteen-year-old children through a community-based mass vaccination program conferred protection against dengue with warning signs and severe dengue but we were unable to conclude on protection against milder illness.

Analisis Faktor Cuaca dengan Kejadian Demam Berdarah Dengue (DBD) di Kabupaten Wonogiri Tahun 2014-2018

Background:&#x0D; Wonogiri Regency is one of the dengue endemic areas in Central Java with a fluctuating number of cases during 2014-2018. The number of dengue cases drastically increased nearly 4 times amounting 52 cases in 2016 to 207 cases in 2017. Weather factors such as rainfall, humidity, temperature, and wind velocity can affect the reproduction and spread of DHF vectors.&#x0D; Objectives:&#x0D; This study was aimed to analyze the association between weather factors (rainfall, humidity, temperature and wind velocity) with the incidence of dengue fever in Wonogiri Regency in 2014-2018.&#x0D; Research Metodes: &#x0D; This research was an analytic observational study using cross sectional approach. The type of data used was secondary data about the weather (rainfall, humidity, temperature and wind velocity) in Wonogiri Regency which was obtained from the Wonogiri Meteorological Station and data on the number of dengue incidents in Wonogiri Regency which were obtained from the Health Office of Central Java Province. The data were used each month for 5 years, from January 2014 to December 2018. Data were analyzed by using univariate and bivariate analysis (Rank Spearman correlation test), because only the humidity variable is normally distributed.&#x0D; Results: &#x0D; The highest number of dengue cases during 2014-2018 as many as 30 cases in November 2018 with an average of 6 cases, the highest rainfall was 887 mm with an average 191.05 mm, the highest humidity was 91.55% with an average of 86.77%, the highest temperature was 28.75oC with an average of 27.50oC and the highest wind velocity was 7.86 knots with an average of 0.89 knots. The results of the Spearman Rank correlation statistical test showed that there was a significant association with moderate strength and a positive direction between rainfall and the incidence of DHF (p = 0.001 and r = 0.420), which means that the increasing of rainfall, the more the number of DHF incidents. There was no significant association between humidity and the incidence of dengue fever (p = 0.925 and r = 0.012). There is a significant association with moderate strength and a negative direction between temperature and the incident of DHF (p = 0.001 and r = -0.415), which means that the increasing the temperature, the number of dengue cases decreases. There is no significant association between wind velocity and the incident of dengue (p = 0.577 and r = -0.073).&#x0D; Conclusion: &#x0D; Rainfall causes the breeding place of Aedes mosquitoes to increase, as a result it has an effect on the increase of the mosquito population. Temperature affects the number of eggs produced by Aedes mosquitoes, so that the density of adult mosquitoes increases. &#x0D; &#x0D; Keywords: DHF; rainfall; humidity; temperature; wind velocity

Analisis Faktor Cuaca dengan Kejadian Demam Berdarah Dengue (DBD) di Kabupaten Wonogiri Tahun 2014-2018

Background:&#x0D; Wonogiri Regency is one of the dengue endemic areas in Central Java with a fluctuating number of cases during 2014-2018. The number of dengue cases drastically increased nearly 4 times amounting 52 cases in 2016 to 207 cases in 2017. Weather factors such as rainfall, humidity, temperature, and wind velocity can affect the reproduction and spread of DHF vectors.&#x0D; Objectives:&#x0D; This study was aimed to analyze the association between weather factors (rainfall, humidity, temperature and wind velocity) with the incidence of dengue fever in Wonogiri Regency in 2014-2018.&#x0D; Research Metodes: &#x0D; This research was an analytic observational study using cross sectional approach. The type of data used was secondary data about the weather (rainfall, humidity, temperature and wind velocity) in Wonogiri Regency which was obtained from the Wonogiri Meteorological Station and data on the number of dengue incidents in Wonogiri Regency which were obtained from the Health Office of Central Java Province. The data were used each month for 5 years, from January 2014 to December 2018. Data were analyzed by using univariate and bivariate analysis (Rank Spearman correlation test), because only the humidity variable is normally distributed.&#x0D; Results: &#x0D; The highest number of dengue cases during 2014-2018 as many as 30 cases in November 2018 with an average of 6 cases, the highest rainfall was 887 mm with an average 191.05 mm, the highest humidity was 91.55% with an average of 86.77%, the highest temperature was 28.75oC with an average of 27.50oC and the highest wind velocity was 7.86 knots with an average of 0.89 knots. The results of the Spearman Rank correlation statistical test showed that there was a significant association with moderate strength and a positive direction between rainfall and the incidence of DHF (p = 0.001 and r = 0.420), which means that the increasing of rainfall, the more the number of DHF incidents. There was no significant association between humidity and the incidence of dengue fever (p = 0.925 and r = 0.012). There is a significant association with moderate strength and a negative direction between temperature and the incident of DHF (p = 0.001 and r = -0.415), which means that the increasing the temperature, the number of dengue cases decreases. There is no significant association between wind velocity and the incident of dengue (p = 0.577 and r = -0.073).&#x0D; Conclusion: &#x0D; Rainfall causes the breeding place of Aedes mosquitoes to increase, as a result it has an effect on the increase of the mosquito population. Temperature affects the number of eggs produced by Aedes mosquitoes, so that the density of adult mosquitoes increases.

Factors associated with dengue fever patients attending primary health clinics in Kota Kinabalu

Background: Dengue fever infection has become a major public health concern in Malaysia with frequent epidemics occurring in urban areas. In Sabah, Dengue fever is among the 5 most reported communicable diseases and the district of Kota Kinabalu is among the top 3 districts with the highest number of dengue cases with 563 cases recorded in 2016.&#x0D; Aims and Methodolgy: This study aimed to determine the factors contributing or associated with dengue fever occurrence in Kota Kinabalu. A cross- sectional study was conducted among the primary health care clinic attendees in Kota Kinabalu. Data was collected via a set of structured questionnaires focusing on socio-demographic characteristic of participants, environmental characteristic of households, history of previous exposure to dengue fever, knowledge towards dengue fever and its vector, awareness on dengue fever and mosquito control and dengue fever prevention practices.&#x0D; Results and Recommendations: Among the 350 individual’s that participated in the interview, 53 were dengue fever cases. Subsequently, the prevalence of Dengue fever cases among the study population was calculated with prevalence in percentage concluded as 15.1%. Further analysis revealed that factors such as aged group by years, number of household occupants, staying at dengue outbreak areas, self – reported history of recent mosquito bites, indoor and outdoor storage of open water containers, installed house window screens, knowledge on dengue fever and its vector, practices of wearing protective clothing outdoor and usage of mosquito repellent ointment or creams showed significant association with dengue fever outcomes. However, further studies would need to be conducted to determine if these factors possess a higher threat or risk for dengue fever.&#x0D; Bangladesh Journal of Medical Science Vol.20(4) 2021 p.878-886

Forest Coverage and Socioeconomic Factors Associated with Dengue in El Salvador, 2011-2013.

Dengue virus serotypes 1, 2, 3, and 4 are transmitted by Aedes aegypti and Aedes albopictus mosquitoes, which cause illness in an estimated 100 million annually. Although dengue viruses are endemic throughout El Salvador, very little is known about their ecology and epidemiology. The principal methods to prevent and reduce dengue cases are through vector control and by adoption of a vaccine. In addition, understanding the environmental and socioeconomic factors associated with dengue could contribute to case reduction by targeting prevention efforts in dengue hotspots. This study investigated environmental and socioeconomic factors associated with dengue cases in El Salvador. Dengue cases were obtained from 2011 to 2013 for 262 municipalities. The mean incidence was determined for each municipality for the 3 year period. Negative binomial regression models evaluated the relationship between dengue cases and the environmental factors elevation, forest coverage, mean annual temperature, and cumulative precipitation. Twelve socioeconomic and infrastructure variables and their relationship with dengue were also investigated by using negative binomial regression. A total of 29,764 confirmed dengue cases were reported. The mean dengue incidence for 2011-2013 was 135/100,000. The highest number of dengue cases occurred in San Salvador and surrounding municipalities, as well as in two additional cities, Santa Ana and San Miguel; the highest incidence of dengue cases (per 100,000) occurred in cities in the west and at the center of the country. Significant environmental variables associated with dengue included temperature, precipitation, and non-forested area. The socioeconomic variables poverty rate, illiteracy rate, and school attendance, and the infrastructure variables percent of homes with sanitary service, municipal trash service, electricity, and cement brick flooring, as well as population density, were also significant predictors of dengue. Understanding these environmental and socioeconomic factors and their relationship with dengue will help design and implement timely prevention strategies and vector control to reduce dengue in El Salvador.

Expanding Dengue Vectors Through the Border of Dhaka City: Vector Breeding Grounds in Gazipur City Corporation, Bangladesh

With global expansion of vector borne diseases, dengue has emerged as a big health crisis and social problem in recent years in Bangladesh. Despite its endemicity since 2000, very few studies were conducted outside of the Capital Dhaka city regarding vector breeding status. Within this dark situation, the year 2019 reported the ever highest number of dengue cases of 101,354. Of them about 50% were from out of Dhaka. To reduce this burden, keeping the vector population density under threshold level is must. In the present entomological study, 100 houses were checked randomly from five areas of Gazipur City Corporation (GCC) during the month of September in 2019. Both of the Aedes vectors were found in all areas, but Aedes aegypti population was dominant. Rooftop garden and under construction site were identified as the most important vector breeding sites. Highly urbanized area (SA2) produced the highest and suburban area (SA4) produced the lowest Breteau Index (BI) of 110 and 15 respectively. The overall House Index (HI) and Breteau Index (BI) of the study areas were 16 and 49 respectively. Four kinds of containers, namely; cemented tank, drum, big earthen pot (chari) and buckets contained about 80 percent of immature Aedes and identified as key container among the positive containers. The Said study has identified comparatively higher number of Ae. aegypti breeding, which is potential for triggering any major outbreak. Further, large-scale surveillance in all administrative wards with a larger sample may indicate the real picture of vector infestation situation throughout the municipality. Bangladesh J. Zool. 49(1): 69-82, 2021