Incidence Of Dengue Fever Research Articles

An Audit of Clinical Cases of Dengue Fever and the Usage of Platelets in Such Cases in a Tertiary Care Hospital in Hyderabad

Background and Objectives: Dengue is an acute self-limited systemic viral infection caused by the dengue virus of the family Flaviviridae. The incidence of dengue fever has been increasing for the past few years and dengue has become a global problem. The current data required for further improving the treatment policies are scanty. Our study aims to capture the demographic and clinical characteristics of the patients enrolled in the study, to see any correlation between thrombocytopenia and bleeding tendencies and other transfusion-related parameters. Methods: The study is a prospective cohort study. All seropositive dengue cases were included in the study. A format was prepared for documenting the demographic data, history, clinical characteristics, spectrum of the disease, the laboratory details of the patient (platelet count, prothrombin time, activated partial thromboplastin time, Hematocrit, and indication). All the transfusion requirement data were collected from the blood center registers. Overall mortality in the study group, number of hospital readmissions, and episodes of exacerbation of symptoms was recorded separately. Results: A total of 270 cases were included in the audit who fulfilled the inclusion and exclusion criteria. The median age of the patient pool was 27 (4–66 years range). Twenty-six percent of the cases developed hemorrhages. Eighty-four single-donor platelets (SDPs) and 340 random-donor platelets (RDPs) were used. A mean of 270 ml of products was transfused per patient. The mortality rate was 0.8%. The mean duration of hospitalization was 1 week. In 72% of cases, platelet count was restored in single-unit transfusion. Ninety-nine percent of the product utilization were within the guidelines recommended. Conclusion: A good monthly audit of blood product utilization is a good guide for treatment. Quality control and rational use of SDPs and RDPs are important in sick and thrombocytopenic patients resulting in better clinical outcomes.

Relationship Between Rainy Day and Sunshine Duration with Dengue Hemorrhagic Fever Incidence in City of Yogyakarta

Introduction – Dengue fever is a disease that often occurs in tropical countries, including Indonesia. DHF is caused by the dengue virus from the Flaviviridae family and infects through the Aedes aegypti or Aedes albopictus mosquitoes. DHF transmission is related to the survival capacity, behavior, and habitat of mosquito as vectors, therefore it may be influenced by climatic factors such as the number of rainy days and the sunshine duration. Purpose – The aim of the study was to determine whether the number of rainy days and the sunshine duration were correlated with the incidence of dengue fever in the city of Yogyakarta. Methodology/Approach – This study uses a retrospective analytic observational method. This study was conducted by analyzing the relationship between monthly data on the number of rainy days and duration of sunshine with cases of dengue fever in the city of Yogyakarta in 2015-2019. Climatic data were obtained from the recording of the Yogyakarta Mlati Climatology Station and data on dengue cases were obtained from the records of the Yogyakarta City Health Office. The data was then analyzed by the Spearman correlation test to find the correlation between the two variables. DHF with an accumulation of 3705 cases during 2015-2019. The city has a tropical climate with an average of 8.96 rainy days and 66% of sunshine duration per month. In the Spearman correlation test, it is found that there was no relationship between DHF cases and the number of rainy days, which had a non-significant positive correlation (p = 0.056 ; r = 0.249) and there was no relationship between DHF cases and sunshine duration had a negative and insignificant correlation (p = 0.316; r = - 0.132). There is no significant relationship between the number of rainy days and the sunshine duration with the incidence of DHF in the city of Yogyakarta. There is a difference in the direction of the correlation between the two variables, namely the number of rainy days is positively correlated while the sunshine duration is negatively correlated with the incidence of DHF in Yogyakarta City. Originality/ Value/ Implication – This study proves that the factor of the number of rainy days shows a positive correlation with the number of cases of DHF, while the factor of the sunshine duration shows a negative correlation in the city of Yogyakarta.

SANITASI LINGKUNGAN DAN PERILAKU KELUARGA TERHADAP KEJADIAN PENYAKIT DEMAM BERDARAH DENGUE (DBD)

Dengue Hemorrhagic Fever (DHF) is an acute febrile disease accompanied by hemorrhagic manifestations with a tendency to cause shock and can cause death, generally attacks children < 15 years, but it is possible to attack adults. In Rokan Hulu there was an increase in dengue cases for three years. the last year starting from 2017-2019. In 2017 there were 61 cases with an incidence rate of 15.95 per 100,000 population, in 2018 there were 77 cases with an incidence rate of 20.13 per 100,000 population, and in 2019 there were 79 cases with an incidence rate of 20.65 per 100,000 population.Objective: to determine the relationship between environmental sanitation and family behavior on the incidence of Dengue Hemorrhagic Fever (DHF) in Ujung Batu District, Rokan Hulu Regency.Methods: This type of research is quantitative and case control design. The population in this study were all households in the Ujung Batu Health Center, with a sample of 105 people, the sampling technique used was simple random sampling. Using primary data, with instruments using observation sheets and questionnaires. Data analysis used univariate, bivariate and multivariate analysis.Results: The type of water reservoir that does not meet the requirements has a risk of 7.183 times the incidence of DHF, the habit of sleeping in the morning and evening has a risk of 2.811 times to experience the incidence of DHF, and the cofounding variable is ventilation.Conclusion: The type of water reservoir that does not meet the requirements and the habit of sleeping in the morning and afternoon have a significant effect on the incidence of dengue fever (DHF).

HUBUNGAN SANITASI LINGKUNGAN DAN TINDAKAN 3M PLUS TERHADAP KEJADIAN DBD


 From 1968 until 2012 the World Health Organization (WHO) noted the state of Indonesia as a country with cases of dengue fever were the highest in Southeast Asia. In 2015, dengue cases continue to rise in the working area of the health center Kenali Besar, this led some villages in the area of workplace health centers recognize the great including dengue endemic area. Type of research is quantitative research with cross sectional method. Samples taken in this study correspond to proportional random sampling as many as 95 respondents.The results of the analysis of a significant relationship between the clean water reservoirs with the incidence of dengue fever in the region health centers Kenali Besar (p value = 0.006 p≤ 0.05). There is a significant relationship between the provision of private trash with the incidence of dengue fever in the region health centers Kenali Besar (p value = 0.002 p≤ 0.05). There is a significant relationship between the actions of 3M Plus with the incidence of dengue fever in the region health centers Kenali Besar (p value = 0.048 p≤ 0.05).There is a relationship between the water infrastructure, the provision of personal trash and acts 3M Plus the incidence of dengue in the region health centers Kenali Besar Recognize the Great.

Detection of Dengue Virus From Aedes aegypti (Diptera, Culicidae) in Field-Caught Samples From Makkah Al-Mokarramah, Kingdom of Saudi Arabia, Using RT-PCR.

Dengue fever (DF) is endemic to Makkah and Jeddah, the Kingdom of Saudi Arabia (KSA). However, until recently, the circulation of dengue virus (DENV) in Aedes mosquitoes in these areas was unknown. Serological surveillance of DENV in Ae aegypti is a powerful tool for early detection of dengue outbreaks and essential for developing effective control strategies. Therefore, this research aimed to examine a sample of adult Ae aegypti mosquitoes from Makkah, KSA, to detect DENV. In total, 1295 Ae aegypti mosquitoes were collected from the field from target areas of Makkah with a high incidence and prevalence of DF. The samples were divided into 259 coded pools (five mosquitoes in each) and preserved in 1.5 mL plastic tubes. The tubes were labeled, capped, and stored at−86°C until use. RT-PCR was used to detect DENV in the samples. All positive pools were confirmed by RT-PCR. The RT-PCR products were analyzed by gel electrophoresis (1.5% agarose in Tris-acetate EDTA buffer), stained with ethidium bromide, and visualized. DENV was isolated from six female Ae Aegypti collected from six pools (out of 259 pools). No other viruses were detected. Only five of the nine target localities had positive pools. Samples from the remaining four localities yielded negative results. Four DENV-positive mosquitoes were collected at the aquatic stages, and two were collected at the adult stage. These results show the circulation of DENV in adult mosquitoes and offspring, indicating vertical transmission of DENV. In conclusion, this study found that, in Makkah, DENV is circulating in dengue vectors with a high significance rate, suggesting the possibility of a dengue outbreak in the future; therefore, a sensitive surveillance system is vital to predict the outbreak and for early intervention and control.

Modifying mosquitoes to suppress disease transmission: Is the long wait over?

For more than 50 years it has been a dream of medical entomologists and public health workers to control diseases like malaria and dengue fever by modifying, through genetics and other methods, the arthropods that transmit them to humans. A brief synopsis of the history of these efforts as applied to mosquitoes is presented; none proved to be effective in reducing disease prevalence. Only in the last few years have novel approaches been developed or proposed that indicate the long wait may be over. Three recent developments are particularly promising: CRISPR-Cas9 driven genetic modification, shifting naturally occurring allele frequencies, and microbe-based modifications. The last is the furthest along in implementation. Dengue fever incidence has been reduced between 40% and 96% in 4 different regions of the world where Wolbachia-infected Aedes aegypti have been established in the field. It is not yet clear how sustainable such control programs will prove to be, but there is good reason for optimism. In light of this, the time is ripe for reinvigorated research on vectors, especially genetics. Vector-borne diseases primarily affect under-developed countries and thus have not received the attention they deserve from wealthier countries with well-developed and funded biomedical research establishments.

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.

Analysis on epidemiological characteristics of dengue fever and E gene evolution of dengue virus in Guangzhou, 2020

Objective: To assess the incidence of dengue fever and E gene evolution of dengue virus in Guangzhou in 2020 and understand the local epidemiological characteristics of dengue fever and spreading of dengue virus. Methods: The information of dengue fever cases in Guangzhou in 2020 was collected from Notifiable Infectious Disease System of Chinese Center for Disease Control and Prevention Information System. Serum samples from the cases were detected by real-time PCR. The E gene was sequenced and analyzed. Maximum likelihood phylogenetic trees were constructed using software MEGA 5.05. The statistical analysis was conducted using software SPSS 20.0. Results: A total of 33 dengue fever cases were reported in Guangzhou in 2020, including 31 (93.94%) imported cases and 2 (6.06%) local cases. Compared with the data during 2016 to 2019, the number of cases, overall incidence and local incidence all decreased with statistically significant differences (all P<0.05). The imported cases from Southeast Asia constituted 90.32% (28/31) of imported cases. The E gene sequences and the phylogenetic trees of imported and local cases demonstrated close relationship with the virus sequences from Southeast Asian, and they were less homologous with the sequences of dengue virus isolated in Guangzhou in previous years. Conclusions: The incidence of dengue in Guangzhou in 2020 was significantly affected by the imported cases, especially those from Southeast Asian countries. The study result demonstrated that dengue fever was not endemic in Guangzhou and it was caused by imported ones.

CONTAINER DAN RUMAH POSITIF JENTIK NYAMUK AEDES AEGYPTI TERHADAP KEJADIAN DEMAM BERDARAH DENGUE

Dengue Hemorrhagic Fever (DHF) is one of the environmental health problems that tends to increase in the number of sufferers and the wider the area of ??distribution, in line with increasing mobility and population density. In Indonesia, Dengue Hemorrhagic Fever (DHF) has been recognized since 1968 in Surabaya and Jakarta. The presence of Aedes aegypti larvae in an area is an indicator of the presence of Aedes aegypti mosquito populations in that area. Environmental conditions are one of the conditions that can affect the development of mosquito larvae. Based on data from the Toba Samosir District Health Office, the incidence of dengue fever in Toba Samosir Regency continues to increase from year to year. In 2012 there were 24 cases. In 2013 and 2014 it increased to 25 cases and 51 cases. Then in 2015 it increased again to 77 cases. Data in 2016 and 2017 increased sharply to 110 cases and 129 cases. Throughout 2012 to 2017, In January to June 2018 there were 49 cases and Balige District became the highest data contributor. The purpose of this study was to determine the relationship between containers and houses positive for Aedes aegypti mosquito larvae with the incidence of dengue hemorrhagic fever (DHF) in Toba Samosir Regency. Observational study with a case control design with a ratio of 1:1 (49 cases and 49 controls). The statistical test used is Chi-Square. The results of the bivariate analysis showed that the container inside the house was larva positive, the container outside the house was larva positive, and the house was larva positive were risk factors for the incidence of DHF. For this reason, it is necessary to implement PSN in the form of 3M (draining, burying, and planting things).

Spatio-temporal modelling of dengue fever cases in Saudi Arabia using socio-economic, climatic and environmental factors

Dengue Fever (DF) is a common vector-borne disease with catastrophic health implications. DF prediction modelling is a challenging task, although technologies such as Geographical Information Systems (GIS) and spatial statistics have improved our understanding of dengue dynamics. In this paper, we create a robust data analysis model to (i) provide a better understanding of confirmed dengue fever cases despite missing data, (ii) obtain better insights into risk factors associated with confirmed cases, and (iii) by means of machine learning, create clusters of patients with comparable characteristics. The last was accomplished with a self-organizing feature map (SOFM) and the density-based spatial clustering of applications with noise (DBSCAN). The approaches used to classify confirmed cases were: Decision Tree, k-nearest neighbours, Random Forest, AdaBoost, Support Vector Classification (SVC), CatBoost, and Naive Bayes. The CatBoost classifier achieved the best accuracy for the analysis of confirmed cases. Spatial analysis was conducted using the ordinary least square (OLS) and geographically weighted regression (GWR) models to identify high-risk areas. SOM can group patients with similar features into clusters, then DBSCAN detects and retrieves six clusters from this data. The clustering of confirmed cases increases CatBoost’s modelling prediction accuracy and reveals complex factors that influence prediction accuracy. Because confirmed cases in each cluster have different features, CatBoost is applied to each cluster individually to improve the prediction accuracy. Variable values in each cluster are analysed to clarify the confirmed cases of a specific subset of DF incidents. Overall, OLS outperforms GWR when identifying hotspot areas. The proposed novel, data-driven and machine-learning-based strategy facilitates the understanding and identification of patterns associated with confirmed DF cases. The study's findings can be utilized to cluster historical patient data into groups or subgroups sharing similar variables. Using identifiable patient clusters rather than raw history data improves the model accuracy provided by CatBoost.

Incidence of dengue fever in Israeli travelers 2008–2019

BackgroundDengue virus (DENV) is a frequent travel-related infection, but longitudinal data on its incidence is limited. We aimed to study temporal trends of travel-related DENV burden and its geographical sources. MethodsAll cases of laboratory-confirmed DENV infection diagnosed at the Central Virology Laboratory of the Israeli Ministry of Health during 2008–2019 were evaluated. Numbers of Israeli tourist-entries to DENV endemic countries were available from the UN World Tourist Organization (UNWTO) database. DENV attack rates were calculated as cases per 100,000 traveler-entries. In addition, for Thailand and India incidence rates were calculated, using the average duration of stay reported in diagnosed DENV cases. ResultsDuring 2008–2019, 425 Israeli travelers were diagnosed with DENV: 80.3%, 12.8% and 6.9% were acquired in Asia, America and Africa respectively. The average global DENV attack rate increased from 2.5 cases per 100,000 tourist-entries in 2008 to 10.7 cases per 100,000 tourist-entries in 2019. Region-specific DENV attack rates were 4.4, 3.2 and 2.1 cases per 100,000 tourist-entries to Asia, Africa, and America respectively.The highest number of DENV cases were reported from Thailand and India; DENV incidence rates increased from 94.5 to 142.2 cases per 100,000 travel-years, and from 49.3 to 90.4 cases per 100,000 travel-years for Thailand and India respectively. ConclusionAmong Israeli travelers, worldwide DENV attack-rates have quadrupled during 2008–2019, reflecting both a growing DENV burden in Asia, but also the emergence of Africa as an important source of DENV. The need to protect travelers through vaccination remains urgent.

Incidence of lab-confirmed dengue fever in a pediatric cohort in Delhi, India.

Our aim was to estimate the overall and age-specific incidence of lab-confirmed dengue fever using ELISA based assays among children 6 months to 15 years in Delhi. We enrolled a cohort of 984 children aged 6 months to <14 years in South Delhi and followed-up weekly for fever for 24 months or till 15 completed years of child-age. Households of the enrolled children were geo-tagged. NS1, IgM and IgG assays were conducted using ELISA method to confirm dengue fever in children with ≥3 consecutive days of fever. Molecular typing was done in a subset of NS1 positive cases to identify the circulating serotypes. We had a total of 1953 person-years (PY) of follow up. Overall, there were 4208 episodes of fever with peaks during June to November. The overall incidence (95%CI) of fever was 215/100 PY (209 to 222). A total of 74/1250 3-day fever episodes were positive for acute dengue fever (NS1 and/or IgM positive). The overall incidence (95%CI) of acute dengue fever was 37.9 (29.8 to 47.6) per 1000 PY; highest among children aged 5 to 10 years (50.4 per 1000 PY, 95% CI 36.5 to 67.8). Spatial autocorrelation analysis suggested a clustering pattern for the dengue fever cases (Moran's Index 0.35, z-score 1.8, p = 0.06). Dengue PCR was positive in 16 of the 24 specimens tested; DEN 3 was the predominant serotype identified in 15/24 specimens. We found a high incidence of dengue fever among under 15-year children with clustering of cases in the community. DEN 3 was the most commonly circulating strain encountered. The findings underscore the need for development of affordable pre-vaccination screening strategy as well as newer dengue vaccines for young children while continuing efforts in vector control.

The Relation between Rainfall and Larval Density of Dengue Hemorrhagic Fever with Spatial Modeling

Dengue Hemorrhagic Fever (DHF) is a disease transmitted by the aedes aegypti mosquito. This study aims to determine the relationship between rainfall and larval density which consist of House Index (HI), Container Index (CI), Breteau Index (BI), and Larval Free Rate (LFR) on the incidence of dengue hemorrhagic fever using GIS modeling. The research method is quantitative with a spatial approach and Univariate and Bivariate analysis. The study population was all cases of DHF in all working areas of Lahat District Health Center, Lahat Regency in 2016-2019. The results of the statistical correlation test showed that there was a correlation between rainfall and the incidence of DHF with a value (p=0.003), while larval density showed a correlation between HI and the DHF incidence (p-value=0.007), CI (p-value=0.007), BI (p-value=0.007). ABJ (p-value=0.012). Spatially, it was found that the incidence of dengue fever was high in the working regions of Public Health Center with high HI (≥5%), low CI (&lt;10%), low BI (&lt;50%), and low larvae-free rate (&lt;95%). It can be concluded that there is a relation among rainfall, HI, CI, and BI on the incidence of DHF in Lahat Regency in 2016-2019 and spatially shows the high incidence of DHF in high HI (≥5%) and low LFR (&lt;95%). It is recommended that the Lahat Regency Office used climate information from the BMKG in planning a program to eradicate DHF and eradicate mosquito nests during the rainy season in Lahat District.

Prediction of dengue fever outbreaks using climate variability and Markov chain Monte Carlo techniques in a stochastic susceptible-infected-removed model

The recent increase in the global incidence of dengue fever resulted in over 2.7 million cases in Latin America and many cases in Southeast Asia and has warranted the development and application of early warning systems (EWS) for futuristic outbreak prediction. EWS pertaining to dengue outbreaks is imperative; given the fact that dengue is linked to environmental factors owing to its dominance in the tropics. Prediction is an integral part of EWS, which is dependent on several factors, in particular, climate, geography, and environmental factors. In this study, we explore the role of increased susceptibility to a DENV serotype and climate variability in developing novel predictive models by analyzing RT-PCR and DENV-IgM confirmed cases in Singapore and Honduras, which reported high dengue incidence in 2019 and 2020, respectively. A random-sampling-based susceptible-infected-removed (SIR) model was used to obtain estimates of the susceptible fraction for modeling the dengue epidemic, in addition to the Bayesian Markov Chain Monte Carlo (MCMC) technique that was used to fit the model to Singapore and Honduras case report data from 2012 to 2020. Regression techniques were used to implement climate variability in two methods: a climate-based model, based on individual climate variables, and a seasonal model, based on trigonometrically varying transmission rates. The seasonal model accounted for 98.5% and 92.8% of the variance in case count in the 2020 Singapore and 2019 Honduras outbreaks, respectively. The climate model accounted for 75.3% and 68.3% of the variance in Singapore and Honduras outbreaks respectively, besides accounting for 75.4% of the variance in the major 2013 Singapore outbreak, 71.5% of the variance in the 2019 Singapore outbreak, and over 70% of the variance in 2015 and 2016 Honduras outbreaks. The seasonal model accounted for 14.2% and 83.1% of the variance in the 2013 and 2019 Singapore outbreaks, respectively, in addition to 91% and 59.5% of the variance in the 2015 and 2016 Honduras outbreaks, respectively. Autocorrelation lag tests showed that the climate model exhibited better prediction dynamics for Singapore outbreaks during the dry season from May to August and in the rainy season from June to October in Honduras. After incorporation of susceptible fractions, the seasonal model exhibited higher accuracy in predicting outbreaks of higher case magnitude, including those of the 2019–2020 dengue epidemic, in comparison to the climate model, which was more accurate in outbreaks of smaller magnitude. Such modeling studies could be further performed in various outbreaks, such as the ongoing COVID-19 pandemic to understand the outbreak dynamics and predict the occurrence of future outbreaks.

Incidence of Dengue fever, serotypes, clinical features, and laboratory markers: a case study of 2019 outbreak at district Shangla, KP, Pakistan.

Dengue is a widely spread mosquito-borne infection in humans, which in recent decades declared is public health problem globally. The dengue virus contains 4 different serotypes (DENV-1, DENV-2, DENV-3, and DENV-4) which belong to the genus Flavivirus. A descriptive experimental study was conducted to determine the epidemiology, types of Dengue serotypes, clinical features, laboratory probe, and markers for primary diagnosis of dengue virus infection in hospitalized patients. A total of 691 suspects were diagnosed from August to October 2019 in district Shangla KP, Pakistan. Serological tests were used for nonstructural protein-1 antigen (NS1), and antibodies (immunoglobulin-M (IgM) & Immunoglobulin-G (IgG)) while real-time PCR was used to confirm the cases. The data was statistically analyzed using IBM-SPSS Statistics 20 version. The dengue virus infection was more prevalent in the male group (68.09%) than the female group (31.1%). A large number of patients were from rural areas (63.5%) while from urban areas were (36.4%), whereas Besham tehsil was found the most affected compared to other regions. The most prevalent serotype observed in our study was DENV-3 (56.60%) while DENV-4 was the least prevalent serotype (1.88%). Among the age-wise analysis of dengue-virus-infected individuals, the age group of 19-37 years (64.07%) was found the most affected group. The month-wise analysis revealed that the highest number of infections (49.8%) were recorded in September. Significant differences were noticed among blood parameters. The possible reasons for the dengue overwhelming in the study area could be less or lack of awareness particularly regarding the transmission of viral infections, improper sewage management, and no effective vector control strategies that lead the dengue outbreaks in the study population.

Imported Dengue Case Numbers and Local Climatic Patterns Are Associated with Dengue Virus Transmission in Florida, USA.

Simple SummaryDengue virus transmission from Aedes aegypti mosquitoes to humans is a growing issue in the state of Florida in the United States of America. The majority of cases have occurred in the southernmost counties, even though Ae. aegypti are present throughout much of Florida. To understand this geographic partitioning of dengue fever cases in Florida, we compiled ten years (2009–2019) of county-level data on human, environmental, and vector elements and identified risk factors for laboratory-confirmed cases of dengue virus incidence in the state. Counties with the highest average temperatures, highest minimum temperatures, and lowest maximum temperatures were significantly more likely to have local dengue virus transmission. Additionally, moderate rainfall and an increasing number of travel-related dengue cases were also significantly associated with local transmission. This is the first study of its kind to identify county-level risk factors for dengue incidence in Florida. This study provides a parsimonious model that may be useful for prediction of future dengue occurrence based on routinely collected, publicly available data sources. Our findings also highlight the importance of travel-related dengue fever cases to the state as well as environmental conditions that promote dengue virus transmission in Florida by Ae. aegypti.Aedes aegypti mosquitoes are the main vector of dengue viruses globally and are present throughout much of the state of Florida (FL) in the United States of America. However, local transmission of dengue viruses in FL has mainly occurred in the southernmost counties; specifically Monroe and Miami-Dade counties. To get a better understanding of the ecologic risk factors for dengue fever incidence throughout FL, we collected and analyzed numerous environmental factors that have previously been connected to local dengue cases in disease-endemic regions. We analyzed these factors for each county-year in FL, between 2009–2019, using negative binomial regression. Monthly minimum temperature of 17.5–20.8 °C, an average temperature of 26.1–26.7 °C, a maximum temperature of 33.6–34.7 °C, rainfall between 11.4–12.7 cm, and increasing numbers of imported dengue cases were associated with the highest risk of dengue incidence per county-year. To our knowledge, we have developed the first predictive model for dengue fever incidence in FL counties and our findings provide critical information about weather conditions that could increase the risk for dengue outbreaks as well as the important contribution of imported dengue cases to local establishment of the virus in Ae. aegypti populations.

HUBUNGAN ANTARA PERILAKU 3M PLUS DENGAN KEJADIAN DBD DI WILAYAH KERJA PUSKESMAS SEMEMI TAHUN 2021

One of the serious public health problems is dengue fever which is influenced by environmental factors. One that can affect the increase in the larva free rate with a percentage of 85%. This is due to a lack of public awareness in 3M plus activities on a regular basis. The purpose of this study was to study the relationship between 3M plus behavior and the incidence of dengue fever in the working area of ​​the Sememi Health Center. This type of research is an analytic study which was carried out by case control. The object of the study was 12 samples of DHF patients. Community behavior data obtained from this study is the level of knowledge, attitudes, and actions. Analysis of the data in this study presented a chi-square test to analyze the relationship between 3M plus behavior and the incidence of DHF. Based on observations made on 24 respondents' houses, the respondents' knowledge level met the criteria of sufficient 42%, the attitude of the respondents met the criteria of less than 42%, and the actions of the respondents met the criteria of less than 46%. The results of the Chi square analysis test that there is a relationship between the incidence of DHF and the behavior of respondents with p value &lt; 0.05 It is necessary to conduct counseling regarding 3M plus efforts, as well as hold community service activities to carry out 3M plus activities directed at cleaning homes and the surrounding environment so that the spread of dengue disease can be reduced.

Demam berdarah dengue di Kota Bima Nusa Tenggara Barat Indonesia

Background: Dengue hemorrahagic fever (DHF) remains public health problem in some areas in Indonesia. As a tropical country, supported by heavy rainfall subsequently caused extraordinary events dengue every year. The low level of knowledge, attitudes and behavior of the Indonesian regarding how to prevent and manage dengue has become a trigger for outbreaks in several parts of Indonesia. Objective: This study aimed to describe the incidence of dengue fever in the Bima city, East Nusa Tenggara Indonesia in 2020. Methods: This study used mix-method approach. Quantitative data were obtained from secondary data on dengue cases from January to July 2020 and in-depth interviews with the managers of the disease surveillance program at the Bima City Health Office. Results: The results of this study showed that the increase in the number of dengue cases from 2019 was 144 cases. While in 2020 the increase in dengue cases occurred in the Jatibaru Puskesmas work area in March 2020 as many as 246 cases. The majority of DHF sufferers are female and aged 5-9 years. Conclusion: Cross-program cooperation in health promotion efforts in the City of Bima needs to be increased to motivate the community to always carry out Clean and Healthy Living Behaviors (as well-known PHBS).

A study on dengue incidences in arid and semi arid regions of Rajasthan

In India, the incidence of dengue fever (DF) and dengue hemorrhagic fever (DHF) have risen dramatically in the last two decades. In Rajasthan dengue cases are tremendously increasing year after year. In our study on the basis of climatic conditions some arid (Jaisalmer, Barmer, Bikaner) and semi-arid (Jodhpur, Ganganagar, Hanumangarh) region districts of Region districts of rajasthan were selected. Retrospective data of the past 5 years from 2015 to 2019 were collected. Data collection was done with the help of various Chief Medical and Health Office of the concern district and also with the help of National vector borne disease control programme (NVBDCP). In this study, we obtained total 5142 dengue cases from selected arid and semi-arid regions of Rajasthan. Maximum dengue cases were found in Jaisalmer and Jodhpur in arid and semi-arid region, respectively. Minimum dengue incidence was analysed in Bikaner and Hanumangarh in arid and semi-arid regions, respectively.

Counseling and Assistance in Making Ovitrap with the Principle of Re use To control Aedes aegypti larvae

Dengue hemorrhagic fever (DHF) is still a health problem, especially in endemic areas. Aedes aegypti mosquito as a vector for the dengue virus needs serious attention. The 3M Plus Mosquito Nest Eradication has been promoted by the government as a preventive effort to increase the incidence of dengue fever. The purpose of this community service is to increase the knowledge of housewives (IRT) through the implementation of counseling and assistance in making ovitrap with the principle of reuse to reduce the population of Aedes aegypti larvae. This community service was carried out with an intervention approach in a one group pretest-posttest design experimental design. The location of community service is in RW 04, Cisaranteun Endah Village at 199 IRT. Most of the IRT (53.3%) before attending the counseling had less knowledge and after attending the counseling most of the IRT (69.3%) had good knowledge. The average score before counseling was 50.28 with a standard deviation of 15.518 and the average score after counseling was 81.08 with a standard deviation of 10.325, and the p-value was 0.000. This means that there is a significant difference in the level of knowledge of IRT before and after being given counseling and assistance. The goal of community service is to achieve a significant increase in IRT knowledge about ovitrap as a means of controlling the population of Aedes aegyti mosquito larvae, how to make it and provide assistance in making ovitrap with the principle of Re-use.