Hemorrhagic Fever Research Articles

Impact of Waste Management on Infectious Disease Control: Evaluating Strategies to Mitigate Dengue Transmission and Mosquito Breeding Sites – A Systematic Review

Background: Dengue, a mosquito-borne viral disease primarily transmitted by Aedes mosquitoes, is a significant global public health concern, particularly in tropical and subtropical regions. Severe cases, including dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS), can be fatal. Recent outbreaks in Bangladesh highlight the disease's escalating threat, with inadequate waste management playing a critical role in mosquito breeding and disease transmission. Methods: This review aims to assess the effectiveness of various waste management techniques, such as gasification, pyrolysis, compaction, and incineration, in reducing the buildup of garbage and, therefore, the spread of mosquito breeding grounds. This review also assesses the waste-derived containers used for storing wastewater, which act as breeding grounds for dengue mosquitoes. This review identifies Aedes aegypti mosquito larvae density in ten dengue-endemic regions. Larval samples were collected from various outdoor containers using dipping methods and analyzed through the Container Index (CI). The CI represents the percentage of containers infested with larvae and indicates the potential for dengue transmission. Results: The review revealed that high CI values in locations such as Dire Dawa, Ethiopia (54%), and Tamil Nadu, India (32.2%) indicated significant risk for dengue transmission. In contrast, a low CI value of 0.15% was observed in Rawalpindi, Pakistan, corresponding with lower dengue incidence. Results showed that poorly managed waste sites, particularly those accumulating stagnant water, contributed to higher CI values. Conclusion: Effective waste management, including proper disposal and reduced breeding grounds, is crucial in mitigating dengue transmission. The review emphasizes the need for improved waste management infrastructure, community involvement, and government-led policy frameworks to control Aedes mosquito populations and reduce dengue outbreaks.

Knowledge and Attitudes Regarding Crimean-Congo Hemorrhagic Fever Among Slaughterhouse Workers in Sana'a and Dhamar Cities-Yemen: A Cross-Sectional Study.

Crimean-Congo Hemorrhagic Fever (CCHF) is a viral infection spread through tick bites or contact with secretions from infected animals or humans, posing a risk to slaughterhouse workers. This study aimed to evaluate the knowledge and attitudes of slaughterhouse workers in Yemen towards CCHF. A cross-sectional study conducted on 173 adults working at slaughterhouses in Sana'a and Dhamar cities, Yemen using a multi-stage sampling. The questionnaire used in the study was a reliable survey instrument (with a Cronbach's alpha coefficient of 0.71) employed for the purpose of data collection. The questionnaire encompassed three distinct sections: 1)- demographic inquiries pertaining to age, gender, marital status, level of education, and occupation; 2)- knowledge-based inquiries consisting of 27 items;3)- the attitude section consisted of 11 questions. After completing the questionnaire, the data were analyzed by SPSS version 24, using percentages, chi-square test, and Spearman correlation coefficient. The mean age of the participants was 30.6 years with a SD of 11.2 years, with 84.4% male and 15.6% female. Most slaughterhouse workers were butchers (78.6%) and some were shepherds (21.4%). The participants had poor knowledge (86.7%) and attitude (72.3%) towards CCHF. There exists a noteworthy association between the knowledge scores and the gender, education level, and occupation (P=0.035, P=0.039, P=0.001). A significant positive correlation was identified between knowledge and attitude scores (r = 0.715, P<0.001). The majority of respondents had poor knowledge of CCHF. Educational programs are essential for increasing community awareness, with involvement of technical experts crucial for disseminating information on preventing and managing CCHF.

Predicting immune response targets in orthoflaviviruses through sequence homology and computational analysis.

Flaviviruses cause severe encephalitic or hemorrhagic diseases in humans. Its members, Kyasanur forest disease virus (KFDV) and Alkhumra hemorrhagic fever virus (ALKV), cause hemorrhagic fever and are prevalent in India and Saudi Arabia, respectively, while the tick-borne encephalitis virus (TBEV) causes a dangerous encephalitic infection in Europe and Asia. However, little information is available about the targets of immune responses for these deadly viruses. Here, we predict potential antigenic peptide epitopes of viral envelope protein for inducing a cell-mediated and humoral immune response. Using the Immune Epitope Database and Analysis Resource (IEDB-AR), we identified 13 MHC-I and two MHC-II dominant conserved epitopes in KFDV and ALKV and six MHC-I and three MHC-II epitopes in TBEV envelope proteins. Parallelly, we also predicted B-cell linear and discontinuous envelope protein epitopes for these viruses. Interestingly, the epitopes are conserved in all three viral envelope proteins. Further, the discontinuous epitopes are structurally compared with the available DENV, ZIKV, WNV, TBEV, and LIV envelope protein antibody structures. Overall structural comparison analyses highlight (i) lateral ridge epitope in the ED-III domain of E protein, and (ii) envelope dimer epitope (EDE) could be targeted for developing potent vaccine candidates as well as therapeutic antibody production. Moreover, existing structural and biochemical functions of the same epitopes in homologous viruses are predicted to have a reduced antibody-dependent enhancement (ADE) effect on flaviviral infection.

Dengue virus infection: potential applications of "Omics" based approaches

Dengue, caused by the dengue virus (DENV), a member of the flavivirus family, continues to pose a significant threat to populations worldwide, despite advances in technology. Nearly half of the global population is at risk of contracting the disease, ranging from mild dengue fever (DF) to severe dengue hemorrhagic fever (DHF) and Dengue Shock Syndrome (DSS). The precise mechanisms underlying the progression of DF to DHF and DSS remain unclear, and the presence of various DENV serotypes exacerbates this situation. Urbanization and climate change are expected to affect dengue epidemiology, potentially increasing the frequency and intensity of outbreaks. This review aims to consolidate the current knowledge on the biological characteristics, pathogenesis, and application of "Omics" based strategies for biomarker discovery for precision medicine. Although the precise mechanisms behind the progression from DF to DHF/DSS are not fully understood, hypotheses include immune over-activation, cytokine storms, and antibody-dependent enhancement. Studies of comorbid conditions have shown no significant association with the development of DHF/DSS in patients with diabetes, hypertension, or other chronic diseases. Despite the far-reaching and intricate nature of dengue, the inconsistencies found in clinical pathophysiological studies underscore the need for additional research aimed at elucidating the pathogenesis of DHF/DSS and devising effective preventive measures. Identifying the differentially expressed genes, proteins, and metabolites in DF, DHF, and DSS may enrich our understanding of the mechanisms underlying their pathogenesis. Moreover, these differentially regulated pathways may serve as novel therapeutic targets. These biomarkers may also be utilized for disease surveillance and the evaluation of the efficacy of therapeutic interventions for personalized treatment. Continuous research is essential to gain deeper insights into the mechanisms and progression of dengue fever and to formulate more effective prevention and control strategies. A multidisciplinary approach is vital for comprehending dengue virus pathogenesis, identifying risk factors, and creating targeted interventions, particularly through biomarker discovery using "Omics" approaches.

Proposed Neural Network Model to Estimate Hemorrhagic Fever Iraqi People Statistics

Proposed Neural Network Model to Estimate Hemorrhagic Fever Iraqi People Statistics

MODELING DHF IN CENTRAL JAVA USING HYBRID NONPARAMETRIC SPLINE TRUNCATED-FOURIER SERIES APPROACH

Regression analysis aims to determine the relationship and influence of predictor variables on response variables through regression curve. The problem with nonparametric regression research so far is that it only uses one approach, causing the estimation results to be biased, even though each data sub-pattern has its own suitability depending on the approach method used. Therefore, the hybrid method emerged as a development of nonparametric regression. Hybrid models are models that combine approach methods, with the hope of increasing accuracy in modeling analysis. This research was carried out using two non-parametric approaches, namely Spline Truncated and Fourier Series. Dengue Hemorrhagic Fever (DHF) is a disease caused by the dengue virus. DHF is endemic and occurs throughout the year, especially during the rainy season because mosquitoes reproduce optimally. The aim of this research is to estimate the Hybrid Nonparametric Spline Truncated -Fourier Series model and apply the estimation results to data on DHF cases in Central Java. The data used to apply the hybrid nonparametric Spline Truncated-Fourier series regression model is DHF in the city/districts of Central Java. Estimation smoothing parameters uses the GCV (Generalized Cross Validation) method. The best model is selected based on largest R-Square and the smallest MSE. Modeling the disease of DHF cases in Central Java using the Spline Truncated-Fourier Series hybrid estimator produced the best model from the Spline Truncated model with two knot points for each predictor and the Fourier Series model with value of 9. Based on the results obtained, it can be compared that the Truncated Spline-Fourier Series hybrid model is better than the Spline Truncated model, this can be seen from the largest R-square, namely 99.94% and the smallest MSE.

Understanding the delay in identifying Sudan Virus Disease: gaps in integrated disease surveillance and response and community-based surveillance to detect viral hemorrhagic fever outbreaks in Uganda, September 2022

BackgroundEarly detection of outbreaks requires robust surveillance and reporting at both community and health facility levels. Uganda implements Integrated Disease Surveillance and Response (IDSR) for priority diseases and uses the national District Health Information System (DHIS2) for reporting. However, investigations after the first case in the 2022 Uganda Sudan virus outbreak was confirmed on September 20, 2022 revealed many community deaths among persons with Ebola-like symptoms as far back as August. Most had sought care at private facilities. We explored possible gaps in surveillance that may have resulted in late detection of the Sudan virus disease (SVD) outbreak in Uganda.MethodsUsing a standardized tool, we evaluated core surveillance capacities at public and private health facilities at the hospital level and below in three sub-counties reporting the earliest SVD cases in the outbreak. Key informant interviews (KIIs) were conducted with 12 purposively-selected participants from the district local government. Focus group discussions (FGDs) were conducted with community members from six villages where early probable SVD cases were identified. KIIs and FGDs focused on experiences with SVD and Viral Hemorrhagic Fever (VHF) surveillance in the district. Thematic data analysis was used for qualitative data.ResultsForty-six (85%) of 54 health facilities surveyed were privately-owned, among which 42 (91%) did not report to DHIS2 and 39 (85%) had no health worker trained on IDSR; both metrics were 100% in the eight public facilities. Weak community-based surveillance, poor private facility engagement, low suspicion index for VHF among health workers, inability of facilities to analyze and utilize surveillance data, lack of knowledge about to whom to report, funding constraints for surveillance activities, lack of IDSR training, and lack of all-cause mortality surveillance were identified as gaps potentially contributing to delayed outbreak detection.ConclusionBoth systemic and knowledge-related gaps in IDSR surveillance in SVD-affected districts contributed to the delayed detection of the 2022 Uganda SVD outbreak. Targeted interventions to address these gaps in both public and private facilities across Uganda could help avert similar situations in the future.

Molecular insight into the neutralization mechanism of human-origin monoclonal antibody AH100 against Hantaan virus.

Both Old World and New World hantaviruses are transmitted through rodents and can lead to hemorrhagic fever with renal syndrome or hantavirus cardiopulmonary syndrome in humans without the availability of specific therapeutics. The square-shaped surface spikes of hantaviruses consist of four Gn-Gc heterodimers that are pivotal for viral entry into host cells and serve as targets for the immune system. Previously, a human-derived neutralizing monoclonal antibody, AH100, demonstrated specific neutralization against the Old World hantavirus, Hantaan virus. However, the precise mode binding of this neutralizing monoclonal antibody remains unclear. In the present study, we determined the structure of the Hantaan virus Gn-AH100 antigen-binding fragment complex and identified its epitope. Crystallography revealed that AH100 targeted the epitopes on domain A and b-ribbon and E3-like domain. Epitope mapping onto a model of the higher order (Gn-Gc)4 spike revealed its localization between neighboring Gn protomers, distinguishing this epitope as a unique site compared to the previously reported monoclonal antibodies. This study provides crucial insights into the structural basis of hantavirus neutralizing antibody epitopes, thereby facilitating the development of therapeutic antibodies.IMPORTANCEHantaan virus (HTNV) poses a significant threat to humans by causing hemorrhagic fever with renal syndrome with high mortality rates. In the absence of FDA-approved drugs or vaccines, it is urgent to develop specific therapeutics. Here, we elucidated the epitope of a human-derived neutralizing antibody, AH100, by determining the HTNV glycoprotein Gn-AH100 antigen-binding fragment (Fab) complex structure. Our findings revealed that the epitopes situated on the domain A and b-ribbon and E3-like domain of the HTNV Gn head. By modeling the complex structure in the viral lattice, we propose that AH100 neutralizes the virus by impeding conformational changes of Gn protomer, which is crucial for viral entry. Additionally, sequence analysis of all reported natural isolates indicated the absence of mutations in epitope residues, suggesting the potential neutralization ability of AH100 in diverse isolates. Therefore, our results provide novel insights into the epitope and the molecular basis of AH100 neutralization.

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

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

Exploring Mean Platelet Volume and Platelet Count Recovery in Dengue Patients: Findings From an Observational Retrospective Clinical Study.

Introduction Mean platelet volume (MPV) measures platelet size in the blood, which is important because dengue fever often leads to low platelet counts, especially during the critical phase. However, predicting when a patient's platelet count will recover is challenging due to the lack of clinical data. MPV may offer a solution as it tends to rise when platelet counts fall, suggesting a possible link to bone marrow activity. This study aims to understand how MPV changes during the three phases of dengue fever and how it relates to platelet count recovery. Successful results could provide valuable markers for clinicians, helping improve patient care and management. Material The study was carried out in the Department of Medicine,Kalinga Institute of Medical Sciences (KIMS), Bhubaneswar, Odisha, India. The patients who were admitted with dengue fever/dengue haemorrhagic fever in the month of July 2023 were analysed. Observations A total of 130 patients were analysed. The average (avg) MPV on day one was 10.85 ± 1.56, on day three was 10 ± 1.48, and on day five was 9.80 ± 1.30. The avg. total platelet on day one was 119476.92 ± 78,107.78, on day three was 119000 ± 59962.52, and on day five was 169200 ± 100839.84. The correlation between MPV and platelet on day one was r= -0.22, p=0.011, which was statistically significant; on day three was r= -0.32, p=0.0001, which was statistically significant, and on day five was r= -0.30, p= 0.0004, which was statistically significant. Conclusion These findings suggest that as dengue fever progresses, MPV tends to increase as platelet counts decline. This information can be beneficial in clinical practice as it highlights the potential utility of MPV as a predictive marker for platelet recovery, aiding healthcare providers in the timely management of dengue patients to mitigate bleeding risks.

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

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

Comprehensive Characterization of the Genetic Landscape of African Swine Fever Virus: Insights into Infection Dynamics, Immunomodulation, Virulence and Genes with Unknown Function.

African Swine Fever (ASF) is a lethal contagious hemorrhagic viral disease affecting the swine population. The causative agent is African Swine Fever Virus (ASFV). There is no treatment or commercial vaccine available at present. This virus poses a significant threat to the global swine industry and economy, with 100% mortality rate in acute cases. ASFV transmission occurs through both direct and indirect contact, with control measures limited to early detection, isolation, and culling of infected pigs. ASFV exhibits a complex genomic structure and encodes for more than 50 structural and 100 non-structural proteins and has 150 to 167 open reading frames (ORFs). While many of the proteins are non-essential for viral replication, they play crucial roles in mediating with the host to ensure longevity and transmission of virus in the host. The dynamic nature of ASFV research necessitates constant updates, with ongoing exploration of various genes and their functions, vaccine development, and other ASF-related domains. This comprehensive review aims to elucidate the structural and functional roles of both newly discovered and previously recorded genes involved in distinct stages of ASFV infection and immunomodulation. Additionally, the review discusses the virulence genes and genes with unknown functions, and proposes future interventions.

Hemophagocytic Lymphohistiocytosis in a Patient with Dengue Hemorrhagic Fever

HLH is an uncommon, fatal complication of dengue infection and often leads to multi-system involvement and failure. Early recognition and prompt initiation of appropriate immunosuppressive therapy is crucial in improving the outcome. We report a case who developed secondary HLH following dengue haemorrhagic fever. An 8 year and 5-month-old child who was managed as dengue haemorrhagic fever, had persistent fever, hepatosplenomegaly, bicytopenia, hyper-ferritinemia (&gt; 20000), and hypertriglyceridemia. He was diagnosed with HLH according to the diagnosis criteria. This child was treated with steroids and supportive care following which the child made a gradual recovery. Second-line immunosuppressive treatment was not required in this case. Once sepsis is excluded, HLH should always be suspected early in this type of patient. Early appropriate immunosuppressive treatment is important to improve the long term outcome and prevent mortality.

Antipyretic activity of the anti-Dengue herbal formula on yeast-induced pyrexia mice

Dengue hemorrhagic fever is characterised by fever, hemorrhage, and plasma leakage, which can lead to hypovolemic shock, coagulation disorders, and organ failure. If not diagnosed early and treated promptly, Dengue hemorrhagic fever can easily lead to death. Through many years of practice, traditional medicine has been shown to be effective in treating Dengue fever at the level of Dengue hemorrhagic fever (according to the World Health Organization - 2020 classification). The anti-Dengue herbal formula (bamboo leaves, spica prunellae, false daisy, cogongrass, cacumen platycladi, and honeysuckle flowers) was recommended by Professor Bui Chi Hieu for treatment of the febrile phase of Dengue hemorrhagic fever. Both ethanol and water extracts exhibited significant antipyretic effects on yeast-induced pyrexia mice at all tested dose levels. The aqueous extract (at 2.8 and 1.4 g/kg body weight dose), the ethanolic extract (at 2.45 and 4.9 g/kg body weight dose), and the reference drug paracetamol (150 mg/kg) significantly (p&lt;0.05) reduced the increased rectal temperature as compared to the control.

Efficacy and Immunogenicity of a Recombinant Vesicular Stomatitis Virus-Vectored Marburg Vaccine in Cynomolgus Macaques.

Filoviruses, like the Marburg (MARV) and Ebola (EBOV) viruses, have caused outbreaks associated with significant hemorrhagic morbidity and high fatality rates. Vaccines offer one of the best countermeasures for fatal infection, but to date only the EBOV vaccine has received FDA licensure. Given the limited cross protection between the EBOV vaccine and Marburg hemorrhagic fever (MHF), we analyzed the protective efficacy of a similar vaccine, rVSV-MARV, in the lethal cynomolgus macaque model. NHPs vaccinated with a single dose (as little as 1.6 × 107 pfu) of rVSV-MARV seroconverted to MARV G-protein prior to challenge on day 42. Vaccinemia was measured in all vaccinated primates, self-resolved by day 14 post vaccination. Importantly, all vaccinated NHPs survived lethal MARV challenge, and showed no significant alterations in key markers of morbid disease, including clinical signs, and certain hematological and clinical chemistry parameters. Further, apart from one primate (from which tissues were not collected and no causal link was established), no pathology associated with Marburg disease was observed in vaccinated animals. Taken together, rVSV-MARV is a safe and efficacious vaccine against MHF in cynomolgus macaques.

In silico design of multi-epitope vaccines against the hantaviruses by integrated structural vaccinology and molecular modeling approaches.

Hantaviruses are single-stranded RNA viruses belonging to the family Bunyaviridae that causes hantavirus cardiopulmonary syndrome (HCPS) and hemorrhagic fever with renal syndrome (HFRS) worldwide. Currently, there is no effective vaccination or therapy available for the treatment of hantavirus, hence there is a dire need for research to formulate therapeutics for the disease. Computational vaccine designing is currently a highly accurate, time and cost-effective approach for designing effective vaccines against different diseases. In the current study, we shortlisted highly antigenic proteins i.e., envelope, and nucleoprotein from the proteome of hantavirus and subjected to the selection of highly antigenic epitopes to design of next-generation multi-epitope vaccine constructs. A highly antigenic and stable adjuvant was attached to the immune epitopes (T-cell, B-cell, and HTL) to design Env-Vac, NP-Vac, and Com-Vac constructs, which exhibit stronger antigenic, non-allergenic, and favorable physiochemical properties. Moreover, the 3D structures were predicted and docking analysis revealed robust interactions with the human Toll-like receptor 3 (TLR3) to initiate the immune cascade. The total free energy calculated for Env-Vac, NP-Vac, and Com-Vac was -50.02 kcal/mol, -24.13 kcal/mol, and -62.30 kcal/mol, respectively. In silico cloning, results demonstrated a CAI value for the Env-Vac, NP-Vac, and Com-Vac of 0.957, 0.954, and 0.956, respectively, while their corresponding GC contents were 65.1%, 64.0%, and 63.6%. In addition, the immune simulation results from three doses of shots released significant levels of IgG, IgM, interleukins, and cytokines, as well as antigen clearance over time, after receiving the vaccine and two booster doses. Our vaccines against Hantavirus were found to be highly immunogenic, inducing a robust immune response that demands experimental validation for clinical usage.

First Detection of Antibodies Specific to Crimean-Congo Hemorrhagic Fever Virus in Rural Populations of Gabon.

Crimean-Congo hemorrhagic fever (CCHF) is a tick-borne viral disease with a mortality rate reaching up to 40% in humans. Currently, CCHF affects three continents: Asia, Europe, and Africa. An increase in confirmed cases in Africa has been observed since 2000. In Central Africa, several countries have reported the circulation of CCHV virus (CCHFV). However, in Gabon, there is a lack of recent data on the circulation of the virus in the Gabonese population. To provide an overview of the epidemiological situation in Gabon, we tested 3,081 human serum samples collected between 2005 and 2008 in villages throughout the country for anti-CCHFV antibodies. Using a double-antigen ELISA kit, our study found 15/3,081 samples positive for CCHFV. These positive samples were also tested using the Blackbox CCHFV IgG kit and the Luminex technique. These analyses confirmed seven and four positives for the Blackbox CCHFV IgG kit and the Luminex technique, respectively. This study suggests low circulation of CCHFV in the rural human population of Gabon. Competent authorities must survey CCHFV to identify and prevent clinical cases in the human population.

Sosialisasi dan Upaya Pencegahan Penyakit Demam Berdarah Dengue (DBD) untuk Mencegah Terjadinya Kasus Baru di Desa Jungkat

Dengue hemorrhagic fever (DHF) is a disease that is transmitted through the Aedes aegypti mosquito and is a serious threat because transmission can occur quickly in certain areas. Community Service Activities (PKM) aim to equip the community and students of Jungkat Village with information, outreach and skills about preventing DHF. Implementation of this PKM activity includes several activities such as developing socialization methods, creating DHF learning media, and carrying out pre and post tests. As a result, the average pre-test score for students was 68.20 points and the average post-test score was 76.63 points, while the average pretest score for Jungkat Village Women was 71.98 points and the average posttest score was 87.4. So, it can be concluded that there is an increase in the understanding of dengue fever in grade 7 students at SMPN 1 Jongkat and the women of Jungkat Village

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

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

Dengue Hemorrhagic Fever and its Effect on the Pregnancy Outcomes: A Case Series

Dengue Hemorrhagic Fever and its Effect on the Pregnancy Outcomes: A Case Series