Dengue Disease Research Articles

Mathematical analysis and optimal control of Dengue fever epidemic model

In this article, we are working on an SEIR-SI type model for dengue disease in order to better observe the dynamics of infection in human beings. We calculate the basic reproduction number R0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$\\mathcal{R}_{0}$\\end{document} and determine the equilibrium points. We then show the existence of global stability in each of the different states depending on the value of R0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$\\mathcal{R}_{0}$\\end{document}. Moreover, to support the theoretical work, we present numerical simulations obtained using Python. We also study the sensitivity of the parameters included in the expression of R0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$\\mathcal{R}_{0}$\\end{document} with the aim of identifying the most influential parameters in the dynamics of dengue disease spread. Finally, we introduce two functions u and v, respectively indicating the treatment of the infected people and any prevention system minimizing contact between humans and the disease causing vectors. We present the curves of the controlled system after calculating the optimal pair of controls capable of reducing the dynamics of the disease spread, still using Python.

Antigenic distance between primary and secondary dengue infections correlates with disease risk.

Many pathogens continuously change their protein structure in response to immune-driven selection, resulting in weakened protection even in previously exposed individuals. In addition, for some pathogens, such as dengue virus, poorly targeted immunity is associated with increased risk of severe disease through a mechanism known as antibody-dependent enhancement. However, it remains unclear whether the antigenic distances between an individual's first infection and subsequent exposures dictate disease risk, explaining the observed large-scale differences in dengue hospitalizations across years. Here, we develop a framework that combines detailed antigenic and genetic characterization of viruses with details on hospitalized cases from 21 years of dengue surveillance in Bangkok, Thailand, to identify the role of the antigenic profile of circulating viruses in determining disease risk. We found that the risk of hospitalization depended on both the specific order of infecting serotypes and the antigenic distance between an individual's primary and secondary infections, with risk maximized at intermediate antigenic distances. These findings suggest that immune imprinting helps determine dengue disease risk and provide a pathway to monitor the changing risk profile of populations and to quantifying risk profiles of candidate vaccines.

A Meta heuristic based deep learning classifier for effective dengue disease prediction in IoT‐Fog system

AbstractThe primary aim of this article is to propose an effective dengue disease monitoring system by integrating deep learning models with Internet of Things (IoT) and fog computing. In this context, the disease related parameters are collected using IoT devices and further, the reports are securely transmitted to the healthcare facilities utilizing fog computing. In this article, the misdiagnosis error is reduced utilizing attention based long short term memory (ALSTM) network with coati optimization algorithm (COA). The Attention model allocates higher weight to significant parameters and pay additional consideration while training the model. Therefore, the conventional LSTM network is combined with a self‐attention mechanism for enabling this model to focus on relevant parts of the input sequences for precise dengue disease prediction. The Attention Model differs from the conventional model since it delivers higher amount of data into the decoder and improves additional stages to the attention decoder before making its output. Furthermore, the COA is integrated with the ALSTM network for optimal hyper‐parameter selection. The ALSTM‐COA model evaluates the dengue related parameters like nausea, vomiting, skin rash, joint pain, muscle pain, soft bleeding, temperature of water‐sites, humidity of water‐sites, and so forth, for timely dengue disease diagnosis and clinical decision‐making. The experiments performed on a real time dataset state that the ALSTM‐COA model achieves significant prediction results by utilizing different performance measures like recall, accuracy, fall‐out, miss rate, training time, and testing time. The ALSTM‐COA model obtains an accuracy of 99.27%, latency of 0.03 s, and time complexity of 8 s for 500 health records, which are superior to the comparative deep learning models.

Role of auto-antibodies in the mechanisms of dengue pathogenesis and its progression: a comprehensive review.

A complex interaction among virulence factors, host-genes and host immune system is considered to be responsible for dengue virus (DENV) infection and disease progression. Generation of auto-antibodies during DENV infection is a major phenomenon that plays a role in the pathophysiology of dengue hemorrhagic fever and dengue shock syndrome. Hemostasis, thrombocytopenia, hepatic endothelial dysfunction, and autoimmune blistering skin disease (pemphigus) are different clinical manifestations of dengue pathogenesis; produced due to the molecular mimicry of DENV proteins with self-antigens like coagulation factors, platelets and endothelial cell proteins. This review elaborately describes the current advancements in auto-antibody-mediated immunopathogenesis which inhibits coagulation cascade and promotes hyperfibrinolysis. Auto-antibodies like anti-endothelial cell antibodies-mediated hepatic inflammation during severe DENV infection have also been discussed. Overall, this comprehensive review provides insight to target auto-antibodies that may act as potential biomarkers for disease severity, and a ground for the development of therapeutic strategy against DENV.

Mathematical Modeling and its Stability Analysis of an SEIR Model to Control Dengue by Segregating the Infective: An Approach for Efficient Resource Allocation

Objectives: Many research deals study on modeling the spread of dengue virus disease. The study dealing mathematical model to influence the concept of segregating infective is very important as it makes an organised practice of treatment which enlightens civilization. This article focuses on the same and frames a model with a proper analysis. Methods: BhirkoffRhota theorem helps in proving the boundedness of the model. By using the Next-Generation matrix the expression for Reproduction number is determined. The Routh-Hurwitz stability criterion is used to reveal the Local Stability of the proposed model. The aid of Lyapunov-LaSalle's principle proves the Global Stability. Findings: The proposed model is found to be positive and also bounded. Moreover, the equilibrium points exists and stable locally and globally. The numerical simulation shows that at the disease-free equilibrium and at the endemic equilibrium proving the stability of the model numerically. The comparative analysis of the model results in revealing the fact that the proposed model controls the infective better than the usual model. Novelty: The article differs from the usual model by incorporating the idea of categorizing the infected population into 3 phase namely febrile, critical and convalescent concluding that the use of proposed model helps in effective treatment and in efficient management of hospital resources in a systematic way. Keywords: Epidemic, Treatment Class, SEIR model, Jacobian matrix, Sensitivity index

Ovitrap Index Measurement of Aedes sp. in Kertasari Urban Village, Ciamis Sub-District Ciamis District

Aedes sp. mosquitoes are insects that can transmit dengue fever to humans. Transmission is caused by mosquito bites and mosquito population density in an area can illustrate the potential for dengue transmission. Ovitrap index measurement can be used as one of the efforts to control and prevent dengue fever. This study aims to determine the presence and density of Aedes sp. mosquitoes by the percentage value of the Ovitrap Index (OI) in the Pasirangin neighborhood. In the study, the descriptive method was used by observing ovitraps and calculating the Ovitrap Index on ovitraps in Pasirangin Neighbourhood, RW 09 Kertasari Village. Ovitrap installation was placed inside and outside the house as many as 20 houses. The results showed that of the 40 ovitraps installed, the number of positive ovitraps was 15. Based on the calculation of the overall OI percentage, the result was 37.5 %. The ovitrap index criteria for the research location has a score of 3 (OI below 40 %), which indicates that the area has a moderate potential for dengue disease vulnerability

Modeling the transmission dynamics of a two-strain dengue disease with infection age

In this paper, we introduce a partial differential equation (PDE) model to describe the transmission dynamics of dengue with two viral strains and possible secondary infection for humans. The model features the variable infectiousness during the infectious period, which we call the infection age of the infectious host. We define two thresholds [Formula: see text] and [Formula: see text], and show that the strain [Formula: see text] can not invade the system if [Formula: see text]. Further, the disease-free equilibrium of the system is globally asymptotically stable if [Formula: see text]. When [Formula: see text], strain [Formula: see text] dominance equilibrium [Formula: see text] exists, and is locally asymptotically stable when [Formula: see text], [Formula: see text], [Formula: see text]. Then, by applying Lyapunov–LaSalle techniques, we establish the global asymptotical stability of the dominance equilibrium corresponding to some strain [Formula: see text]. This implies strain [Formula: see text] eliminates the other strain as long as [Formula: see text], where [Formula: see text] denotes the probability of a given susceptible mosquito being transmitted by a primarily infected human with strain [Formula: see text]. Finally, we study the existence of the coexistence equilibria under some conditions.

Demographic and clinical features of dengue fever infection in Pakistan: a cross-sectional epidemiological study

BackgroundDengue fever caused by dengue virus is a tropical disease and is among the deadliest vector-borne diseases. The humid and hot summers of Pakistan support the probation of the vectors responsible for the transmission of viral and other parasitic diseases.MethodologyA retrospective study, from 2012- 2019, of dengue infected individuals from the Punjab province of Pakistan was carried out to analyze epidemiology, clinical and laboratory findings of subjects with dengue virus infection. Data was derived from National Institute of Health (NIH) followed by Dengue control program of Pakistan, covering the incidence rate in 36 districts of Punjab and Islamabad Capital Territory (ICT) respectively. Patients data including the presence of dengue specific antigen or/and antibodies such as NS1 and IgG/IgM were observed. The study also included the analysis of demographic data, geographic data, and the month-wise distribution of dengue cases to examine seasonal trends.ResultsWe analyzed 25,682 dengue infected individuals. The statistical analysis revealed a significant association between genders in which male population was more affected by dengue than females. It was also noted that the middle age group was the most affected age group while the highest number of cases were reported in October. Rawalpindi and Lahore were the most affected cities in Punjab province while Islamabad represented the highest number of cases during the recent outbreak in 2019. The IgM and IgG antibodies were highly prevalent among the infected patients.ConclusionDengue is endemic in Pakistan, circulating throughout the year. Highest number of cases were observed in the month of October, September and November respectively. Association between climate change and vector-borne diseases need to be investigated in Pakistan as they significantly influence the timing and intensity of dengue and other disease outbreaks. Further exploration of hematological parameters is required to better diagnose and treat the disease. For the effective control of dengue outbreaks, awareness campaigns on sewage management and vector control along with social factors are strongly recommended for better control and eradication of the disease.

Spatial Mapping the Dengue and Chikungunya Burden in a Rural Area near Bangalore: a Descriptive Cross-Sectional Study.

The burden of dengue and chikungunya diseases across geographical regions of India is poorly quantified more so during Covid19 pandemic and from hospital-based studies. The objective was to assess the prevalence of dengue and chikungunya in the study mainly area and to visualize the spatial distribution of dengue and chikungunya cases using the Quantum Geographic Information System (QGIS). This descriptive cross-sectional study was conducted among the population in villages coming under a medical college's rural field practice area near Bangalore. A total of 31 villages were selected through a simple random sampling method and 3356 subjects were surveyed through household visits. QGIS was used for spatial mapping of cases. 3356 subjects were surveyed, and the prevalence of dengue and chikungunya was 1.13% and 0.02%, respectively. The overall prevalence of dengue and chikungunya cases together was 1.16%. All 39 (100%) cases had reported fever and 31 cases (79.5%) reported myalgia followed by arthralgia 22 (56.4%). QGIS supported spatial mapping of the cases and no clustering of cases was found in the study area. The burden of dengue and chikungunya is under reported, and the surveillance system needs to be strengthened in the rural area. QGIS was found to be useful in the spatial mapping of the cases and there was no clustering of cases observed.

The Recombinant NS3 Protein a Potential Antigen for Dengue Vaccine Development

The NS3 protein is a multifunctional non-structural protein involved in dengue virus polyprotein processing. This protein is also target in the immune response against dengue virus infection. The predominance of cytotoxic T-cell lymphocytes epitopes in the NS3 structure suggests the participation of this protein in limiting virus replication and in the protection against dengue disease. A brief presentation on aspects related to antigenic characteristics and immunogenicity of the recombinant NS3 protein is reported in this work. A reduced number of studies have assessed the NS3 protein in a dengue vaccine formulation. Researches carried out in mice shown that DNA vaccines based on NS3 protein induced a protective response evaluated by their ability to produce IFNγ. Moreover, the incorporation of recombinant subunit NS3 in a purified inactivated vaccine significantly increased the immune response induced by this inactivated vaccine. Likewise, recent studies demonstrated that the combination of the recombinant modified-NS1 and NS3 proteins from dengue 2 virus induced higher immune responses and protection in mice. The immunological studies discussed herein support the possible inclusion of the NS3 protein in a dengue vaccine formulation.

Study of association of thrombocytopenia and serological parameters in dengue fever with special reference to NS1 antigen in hilly Region of Northern India

Background: Dengue fever is an arthropod-borne disease transmitted to humans by Aedes aegypti mosquitoes and one of the leading causes of arthropod-borne viral disease in the world. Aims and Objectives: The present study aims to analyze any association between platelet count and immunochromatography -based dengue serology tests. Materials and Methods: This was a cross-sectional study conducted in Government Doon Medical College and Hospital. A total of 19,208 clinically suspected cases of dengue who reported in various outpatient departments, emergency services, and inpatient departments of our hospital between June 2023 and November 2023 were included in this study. Samples were tested by rapid immunochromatographic test for dengue non-structural protein 1 (NS1) antigen, immunoglobulin M (IgM), IgG, and platelet count was also obtained and a comparison was made. Results: Out of total 19,208 samples tested, 4876 (25.38%) samples were positive for NS1, 589 (3.06%) samples were positive for IgM. Majority of the patients were in the age group of 21–40 years 9274 (48.28%). 11,753 (61.19%) were males and 7455 (38.80%) were females. A strong correlation was seen between NS1 and thrombocytopenia where a total of 2737/4876 (n=56.13%) patients showed positivity in NS1 with low platelet counts. Conclusion: Detection of NS1 antigen helps in early diagnosis of dengue to avoid complications significantly. In confirmed dengue cases with fever, thrombocytopenia is more consistently found and can be used as a predictor to reduce the morbidity and mortality of dengue disease.

Knowledge and Practice of Nurses Regarding Dengue Fever and Its Prevention in District Swat

Background: Dengue fever is a tropical disease that is carried by mosquitoes and is caused by the dengue virus. Dengue fever has an incubation period of three to fifteen days. It can harm the brain, heart, kidneys, liver, or other organs. The most frequent vector used to spread dengue viruses is Aedes aegypti. While there isn't a certain antiviral treatment, prompt hydration and electrolyte replacement therapy is advised. The aim of this research is to evaluate the dengue illness prevention behaviors and knowledge of nurses in the district of Swat. Methods: At the Saidu Teaching Hospital in Swat, this descriptive cross-sectional study was carried out from April 1 to August 31, 2022. The nurses were given questionnaires to complete, and the interviews and answers were documented on a closed-ended questionnaire in order to gather data. It asked questions on age, education, length of service, and nurses' knowledge, attitudes, and practices around dengue disease and prevention. Results: The Saidu Teaching Hospitals in Swat were the study's location. Ninety nurses were surveyed in order to gauge their understanding of dengue illness and how to avoid it. The research participants' demographic details were documented. Men made up 25% of the research sample's nursing staff, while women made up 75%. The age range of the majority of participants was 18 to 38 years old. A little over 61% of participants held nursing diplomas. This research assesses nurses' proficiency and understanding of dengue fever prevention. Conclusion: The majority of participants know what dengue fever is. There is a significant dearth of understanding regarding the prevention and transmission of dengue fever. The participants had a thorough understanding of dengue fever, including its main signs and severity of sickness. Few people were misinformed about biting times and vector identification, and the majority took a proactive stance and actively used preventative measures.

A Mathematical modelling for co-infection dynamics of Japanese encephalitis-Dengue and influence of JE Vaccine on Dengue disease

A non-linear deterministic mathematical model has been described with the co-infection dynamics of Japanese encephalitis(JE) and dengue disease, incorporating the JE vaccine. A basic reproduction number is discussed to study transmission potential of the co-infection model. In co-infection model, disease-free equilibrium points of Japanese encephalitis and dengue, along with endemic, are presented in system and investigated their stability with the help of their specified method. Our analysis suggests that vaccination against Japanese encephalitis positively affect control of co-infection. By using Center Manifold Theory, the model undergoes backwards bifurcation phenomenon and this has been occurred when basic reproduction number is smaller than unity. It is shown that by taking simultaneous preventive steps, the basic reproduction number of co-infection can be reduced to less than one after eliminating both infections. Sensitivity analysis has been performed to determine which parameters significantly affect disease dynamics. The effects of these parameters on transmission of disease were investigated using a numerical simulation. According to the findings, we obtain that JE-dengue co-infection can be managed with use of JE vaccine, also minimize JE transmission rate rapidly.

Impact of Seasonality and Vertical Transmission on Mosquito Population in the Dynamics of Dengue Disease

Many epidemic diseases are season-related. Dengue is one of them. Since it is associated with a mosquito’s life cycle, it is genuinely affected by weather changes. In this paper, we model the dynamics of dengue disease transmission in the human population using two systems of delay differential equations. First, we carry out the modeling with the vertical transmission in the mosquito population and demonstrate its basic properties. Then, we implement the seasonality effect in a second model by choosing some of the parameters that are affected by weather changes to be periodically time-dependent and re-deriving these parameters. We illustrate the conditions when the disease-free periodic solution is locally asymptotically stable and when it is unstable. Simulations in this case were compatible with the theoretical results.

Exploring community behaviours and stakeholder challenges in engaging communities with dengue prevention behaviour in Malaysia: implementation research for a qualitative study with a community-based participatory research design

ObjectivesTo use a community-based participatory research (CBPR) design to explore local community behaviours and stakeholders’ challenges in engaging communities in dengue prevention behaviours in Hulu Langat, Selangor, Malaysia.DesignThis CBPR design...

5S Strategy Practices Kontra Dengue in the Selected Barangays of Santiago City in 2022: Basis in the Dengue Enhancement Program and Public Advocacy

Dengue is a rapidly spreading vector-borne disease endemic in 100 countries, with complex factors contributing to its occurrence. In Santiago City, the City Epidemiology and Surveillance Unit (CESU) conducted a survey in 2022, revealing 603 cases of Dengue from 2018 to 2022. Thus, the researchers are determined to know the reasons behind the high incidence of dengue cases in Santiago City. The study aimed to determine the practices affecting respondents from barangays Rizal, Plaridel, and Patul to acquire Dengue disease. The data was collected using a survey questionnaire. The results showed no significant difference between the profile variables of respondents and the 5s practices against Dengue. Additionally, there was no significant relationship between the 5s practices against Dengue and the profile variables of the respondents. Profile variables such as age, sex, educational attainment, occupation, and place of work were found to be unimportant in the 5s practices against Dengue. Moreover, the study revealed that most respondents answered sometimes in 5s1 practices, such as searching and destroying breeding sites, participating in public activities, and being aware of the 5s strategy. They also answered sometimes in using mosquito nets before going to sleep, putting screens on windows and doors, and using electric rackets to kill mosquitoes. In 5s2 practices, respondents often sought early consultations for Dengue symptoms, rarely in fogging conducted by the barangay, and sometimes in contacting the health center for questions about fogging. In 5s5 practices, respondents often and always sustained their hydration by drinking enough water and eating fruits rich in water. The researchers concluded that the 5S practices kontra Dengue was not really practiced, improperly practiced or their neighbors do not practice the 5S strategies as it was reflected on the answer of the respondents and observation of the researchers. Furthermore, the researchers concluded that the local government unit’s lack of attention in proper fogging and spraying in each barangay may contribute to the incidence of Dengue in Santiago City. Therefore, by spreading awareness through information dissemination and taking part in the shared responsibilities of the citizens and the government in doing the 5S Strategy Practices Kontra Dengue will lower the incidence of Dengue in Santiago City.

Epidemiology of Dengue in Argentina during the 2010/11 to 2019/20 Seasons: A Contribution to the Burden of Disease.

Dengue is an important public health problem in Argentina, as in many other countries. We reviewed and updated information on the dengue disease burden in Argentina over a 10-year period. We conducted a retrospective descriptive study from 2010 to 2020 based on data from the National Health Surveillance System. The main outcomes included dengue cases, incidence rates, deaths, and serotype distribution by season, age group, and region. A total of 109,998 confirmed cases of dengue were reported. Seasonality stands out, prevailing during summer and autumn. Two main outbreaks (seasons 2015/16 and 2019/20), with increasing magnitude, were observed. The 2019/20 season showed the highest number of cases (58,731) and incidence rate (135/100,000). The Northeast region had the highest number of cases and incidence rate. In 2020, for the first time, autochthonous cases were registered in the Cuyo region. The only region with no autochthonous cases was the South. Adolescents and young adults showed the highest incidence rate. The case fatality rate for the period was 0.05%. Four serotypes circulated, but the predominant one was DEN-1 (78%). Dengue has been expanding temporally and spatially. Although the DEN-1 serotype widely predominated, the increasing circulation of other serotypes raises concerns regarding re-exposure and the severity of future cases. Understanding epidemiological trends is key to defining public prevention and control policies.

Assessing climate change impacts on public health in Haiti: a comprehensive study of disease distribution, modeling, and adaptation strategies

This study examines the relationship between climate change and public health in Haiti, a country already facing socioeconomic challenges. The well-being of Haiti’s vulnerable population is expected to be further affected by climate change, leading to an increase in vector-borne, water-borne, and heat-related diseases. As one of the most vulnerable countries to climate change effects, Haiti is currently experiencing an increase in vector-borne diseases such as malaria, dengue, and chikungunya, as well as water-borne diseases and emerging zoonotic outbreaks. This study aims to improve planning, decision-making, and responses to public health challenges by utilizing health data, climatic information, and impact models. The methodology involves the creation of a comprehensive climate and health database to uncover detailed spatial-temporal relationships on a national scale. By evaluating disease indicators from historical periods (1950-2014) and future projections (2015-2100) using the Shared Socio-Economic Pathways (SSPs) from the multi-model ensemble mean of the CMIP6 models, target diseases, including malaria, meningitis, dengue, and heat-sensitive chronic diseases are assessed. Our results highlight a decrease in rainfall and a strong increase in temperatures, especially within western Haiti under the extreme SSP585 scenario. The ability of the impact models to simulate the seasonality and spatial distribution of malaria incidence, dengue and heatwaves was performed. The analysis of risks related to climate-sensitive diseases’ climatic parameters shows that Haiti’s west and central regions are mostly exposed to vector-borne and water-borne diseases. Models predict a decrease in malaria cases due to climate change with hot temperatures and a decline in rainfall, while dengue transmission patterns may undergo changes. These findings will inform the implementation of context-specific early-warning systems and adaptation strategies for climate-sensitive diseases while acknowledging the challenges of integrating climate-altered data into health policies.

A Case of Dengue Meningitis Manifested as a Part of Expanded Dengue Syndrome

Dengue is a prevalent arthropod-borne viral disease in tropical and subtropical areas of the globe. Dengue clinical manifestations include asymptomatic infections; undifferentiated fever; dengue fever, which is characterized by fever, headache, retro orbital pain, myalgia, and arthralgia; and a severe form of the disease denominated dengue hemorrhagic fever/dengue shock syndrome, characterized by hemoconcentration, thrombocytopenia, and bleeding tendency. However, atypical manifestations, such as liver, central nervous system, and cardiac involvement, have been increasingly reported called expanded dengue syndrome. We report a 35 years old lady with atypical and rare presentation of dengue disease marked by meningitis. Condition improved after conservative treatment. Neurological complications in dengue are now increasingly observed with the most common case is aseptic meningitis. Dengue meningitis is self-limiting in almost all cases. Hepatic failure rarely dominates the clinical picture in adults. The main mechanism of dengue meningitis is still unknown though both direct viral infection and immune mediated damage have been suggested to be the cause. To avoid otherwise preventable morbidity and mortality, physicians should have a high index of suspicion for neurological complications in patients with dengue illness and should manage this accordingly

Vav proteins do not influence dengue virus replication but are associated with induction of phospho-ERK, IL-6, and viperin mRNA following DENV infection in vitro.

Dengue disease is characterized by an inflammatory-mediated immunopathology, with elevated levels of circulating factors including TNF-α and IL-6. If the damaging inflammatory pathways could be blocked without loss of antiviral responses or exacerbating viral replication, then this would be of potential therapeutic benefit. The study here has investigated the Vav guanine exchange factors as a potential alternative signaling pathway that may drive dengue virus (DENV)-induced inflammatory responses, with a focus on Vav1 and 2. While Vav proteins were positively associated with mRNA for inflammatory cytokines, blocking Vav signaling didn't affect DENV replication but prevented DENV-induction of p-ERK and enhanced IL-6 (inflammatory) and viperin (antiviral) mRNA. These initial data suggest that Vav proteins could be a target that does not compromise control of viral replication and should be investigated further for broader impact on host inflammatory responses, in settings such as antibody-dependent enhancement of infection and in different cell types.