Dengue Outbreak Research Articles

Global prevalence of asymptomatic dengue infections - a systematic review and meta-analysis

ObjectivesThe burden of asymptomatic dengue infections is understudied. Therefore, we systematically reviewed the literature to estimate the global prevalence of asymptomatic dengue infections. MethodsWe searched cross-sectional studies reporting the prevalence of asymptomatic dengue infections from PubMed, Scopus, and Embase. Prevalence of asymptomatic dengue infections was pooled and reported as proportions with a 95% confidence interval (CI). This systematic review protocol was a priori registered in The International Prospective Register of Systematic Reviews (Reg: No. CRD42020218446). ResultsWe included 41 studies with 131,953 cases in our analysis. The overall pooled prevalence of asymptomatic dengue infections was 59.26% (95% CI: 43.76-74.75, I2 = 99.93%), with 65.52% (95% CI: 38.73-92.32, I2 = 99.95%) during outbreaks and 30.78% (95% CI: 21.39-40.16, I2 = 98.78%) during non-outbreak periods. The pooled prevalence among the acutely infected individuals was 54.52% (95% CI: 17.73-46.76, I2 = 99.91%), whereas, among primary and secondary asymptomatic dengue infections, it was 65.36% (95% CI: 45.76-84.96, I2 = 98.82) and 48.99% (95% CI: 27.85-70.13, I2 = 99.08%) respectively. ConclusionThe majority of dengue cases are asymptomatic and may play a significant role in disease transmission. Public health strategies aimed at dengue outbreak response and mitigation of disease burden should include early detection of asymptomatic cases.

Dengue in Bangladesh

Dengue is one of the prominent public health concerns in tropical and subtropical regions globally. The dengue epidemic was first observed in the 1780 s, mainly in Asia, Africa, and America; however, this virus was found in Bangladesh in 1964. Rapid and unplanned urbanization, global warming, and prolonged rainy season promoted dengue outbreaks in recent years in Bangladesh. Additionally, household hazards contribute to producing an increased number of Aedes mosquitoes. The presence of four sub-types of dengue viruses intensified the dengue outbreak and fatalities, especially since the re-emergence of dengue virus 4 caused more death in 2022. Dhaka city and Rohingya refugee camps witnessed the highest prevalence of dengue patients and fatalities. Furthermore, the cocreation of the dengue outbreak and COVID-19 pandemic-related hazards overwhelmed the health system in Bangladesh. The measures previously taken by the Bangladesh government and City Corporation authorities proved inadequate to face the surge of dengue patients during the pandemic. The government of Bangladesh should stress the proper management of a high volume of dengue patients and raise public concern to fight mosquito proliferation in hot spots such as Dhaka city and Rohingya refugee camps.

Dengue virus M and E proteins belonging to genotype II (Cosmopolitan) of serotype 2 are influenced by the nature of M residue 36.

Mosquito-borne dengue disease is caused by the dengue virus serotype-1 to serotype-4. The contemporary dengue outbreaks in the southwestern Indian ocean coincided with the widespread of dengue virus serotype 2 genotype II (Cosmopolitan), including epidemic viral strains DES-14 and RUN-18 isolated in Dar es Salaam (Tanzania) in 2014 and La Reunion Island (France) in 2018, respectively. Heterodimeric interaction between prM (intracellular precursor of surface structural M protein) and envelope E proteins is required during the initial stage of dengue virus assembly. Amino acid 127 of DES-14 prM protein (equivalent to M36) has been identified as an infrequent valine whereas RUN-18 has a common isoleucine. In the present study, we examined the effect of M-I36V mutation on the expression of a recombinant RUN-18 E protein co-expressed with prM in human epithelial A549 cells. The M ectodomain of dengue virus serotype 2 embeds a pro-apoptotic peptide referred as D2AMP. The impact of M-I36V mutation on the death-promoting capability of D2AMP was assessed in A549 cells. We showed that valine at position M36 affects expression of recombinant RUN-18 E protein and potentiates apoptosis-inducing activity of D2AMP. We propose that the nature of M residue 36 influences the virological characteristics of dengue 2 M and E proteins belonging to genotype II that contributes to global dengue burden.

Dengue, Chikungunya, and Zika: The Causes and Threats of Emerging and Re-emerging Arboviral Diseases.

The recent emergence and re-emergence of viral infections transmitted by vectors, Zika, chikungunya, dengue, and others, is a cause for international concern. Here, we provide a summary of the current understanding of the transmission, clinical features, diagnosis, global burden, and the likelihood of future epidemics by these viruses. Arboviruses transmitted by mosquitoes are challenging to diagnose and can have surprising clinical complications. Dengue, chikungunya, and Zika are the most important diseases caused by arboviruses worldwide, especially in tropical and subtropical regions. These are transmitted to humans by day-biting Aedes aegypti and Aedes albopictus mosquitoes. In India, the increase in the incidence of dengue and chikungunya cases is primarily linked to the dissemination of Aedes aegypti. A rapid and accurate diagnosis is paramount for effectively controlling dengue outbreaks. As there is no vaccination or specific treatment available for these viruses, vector control is the only comprehensive solution available.

Mapping Aedes aegypti indoor resting behavior reveals a preference vulnerable to householder-led vector control.

Many mosquito vectors rest inside human habitations, a behavioral trait that is exploited for vector control by indoor residual spraying (IRS) of interior walls with insecticide. Although IRS and its refined version targeted IRS are very effective against Aedes aegypti, they are expensive and logistically challenging to deliver in densely populated urban areas where outbreaks of dengue and other arboviruses are the greatest challenge. In experiments in Recife, Brazil, we set out to quantify the indoor resting behavior of Ae. aegypti at a level beyond that previously reported. We found that significantly more Ae. aegypti males, unfed and fed females visited the base of walls (height 0-20 cm, corresponding to 12.3% of the total wall surface) more frequently than upper wall areas, with the difference more pronounced at higher temperatures. When the lowest 20 cm of the walls was treated with an appropriate insecticide and colored black, we recorded up to 85% cumulative mortality after 24-h exposure in the experimental room. The findings are significant because feasibly, householders could treat this small and accessible target zone manually, without the need for visits by costly IRS teams or equipment, reducing insecticide use and enabling communities to actively protect their own indoor environment.

The recent outbreak of dengue in Bangladesh is a public and global threat to the international communities; what should we do to mitigate it?

The recent outbreak of dengue in Bangladesh is a public and global threat to the international communities; what should we do to mitigate it?

Singapore's 5 decades of dengue prevention and control-Implications for global dengue control.

This paper summarises the lessons learnt in dengue epidemiology, risk factors, and prevention in Singapore over the last half a century, during which Singapore evolved from a city of 1.9 million people to a highly urban globalised city-state with a population of 5.6 million. Set in a tropical climate, urbanisation among green foliage has created ideal conditions for the proliferation of Aedes aegypti and Aedes albopictus, the mosquito vectors that transmit dengue. A vector control programme, largely for malaria, was initiated as early as 1921, but it was only in 1966 that the Vector Control Unit (VCU) was established to additionally tackle dengue haemorrhagic fever (DHF) that was first documented in the 1960s. Centred on source reduction and public education, and based on research into the bionomics and ecology of the vectors, the programme successfully reduced the Aedes House Index (HI) from 48% in 1966 to <5% in the 1970s. Further enhancement of the programme, including through legislation, suppressed the Aedes HI to around 1% from the 1990s. The current programme is characterised by 4 key features: (i) proactive inter-epidemic surveillance and control that is stepped up during outbreaks; (ii) risk-based prevention and intervention strategies based on advanced data analytics; (iii) coordinated inter-sectoral cooperation between the public, private, and people sectors; and (iv) evidence-based adoption of new tools and strategies. Dengue seroprevalence and force of infection (FOI) among residents have substantially and continuously declined over the 5 decades. This is consistent with the observation that dengue incidence has been delayed to adulthood, with severity highest among the elderly. Paradoxically, the number of reported dengue cases and outbreaks has increased since the 1990s with record-breaking epidemics. We propose that Singapore's increased vulnerability to outbreaks is due to low levels of immunity in the population, constant introduction of new viral variants, expanding urban centres, and increasing human density. The growing magnitude of reported outbreaks could also be attributed to improved diagnostics and surveillance, which at least partially explains the discord between rising trend in cases and the continuous reduction in dengue seroprevalence. Changing global and local landscapes, including climate change, increasing urbanisation and global physical connectivity are expected to make dengue control even more challenging. The adoption of new vector surveillance and control tools, such as the Gravitrap and Wolbachia technology, is important to impede the growing threat of dengue and other Aedes-borne diseases.

Comparative phylogenetic analysis and transcriptomic profiling of Dengue (DENV-3 genotype I) outbreak in 2021 in Bangladesh

BackgroundThe next-generation sequencing (NGS) technology facilitates in-depth study of host-pathogen metatranscriptome. We, therefore, implicated phylodynamic and transcriptomic approaches through NGS technology to know/understand the dengue virus (DENV) origin and host response with dengue fever.MethodsIn this study, blood serum RNA was extracted from 21 dengue patients and 3 healthy individuals. Total transcriptomic data were analyzed for phylogenetic, phylodynamic, differential express gene (DEG), and gene ontology (GO) using respective bioinformatics tools.ResultsThe viral genome sequence revealed dengue viral genome size ranges 10647 to 10707 nucleotide. Phylogenetic and phylodynamic analysis showed that the 2021 epidemic isolates were DENV-3 genotype-I and maintained as a new clade in compared to 2019 epidemic. Transcriptome analysis showed a total of 2686 genes were DEG in dengue patients compared to control with a q-value < 0.05. DESeq2 plot counts function of the top 24 genes with the smallest q-values of differential gene expression of RNA-seq data showed that 11 genes were upregulated, whereas 13 genes were downregulated. GO analysis showed a significant upregulation (p = < 0.001) in a process of multicellular organismal, nervous system, sensory perception of chemical stimulus, and G protein-coupled receptor signaling pathways in the dengue patients. However, there were a significant downregulation (p = < 0.001) of intracellular component, cellular anatomical entity, and protein-containing complex in dengue patients. Most importantly, there was a significant increase of a class of immunoregulatory proteins in dengue patients in compared to the controls, with increased GO of immune system process. In addition, upregulation of toll receptor (TLR) signaling pathways were found in dengue patients. These TLR pathways were particularly involved for the activation of innate system coupled with adaptive immune system that probably involved the rapid elimination of dengue virus infected cells. These differentially expressed genes could be further investigated for target based prophylactic interventions for dengue.ConclusionThis is a first report describing DENV complete genomic features and differentially expressed genes in patients in Bangladesh. These genes may have diagnostic and therapeutic values for dengue infection. Continual genomic surveillance is required to further investigate the shift in dominant genotypes in relation to viral pathogenesis.

Digital Mapping of Dengue Mosquito Movement towards Weather Factors, Mosquito Density, and Cultural Factors in Jember Regency

&lt;div&gt;&lt;table cellspacing="0" cellpadding="0" align="left"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td align="left" valign="top"&gt;&lt;p&gt;&lt;em&gt;This study aims to map a digital movement of the Aedes aegypti mosquito in high-risk areas for dengue fever outbreaks, taking into account the public’s knowledge of dengue fever, attitude towards their environment, action towards the environment, environment conditions of the community, weather and climate factors, and mosquito density assessed through the House Index(HI). &lt;/em&gt;&lt;em&gt;This study is a quantitative observational analytic research with a cross-sectional design&lt;/em&gt;&lt;em&gt;. &lt;/em&gt;&lt;em&gt;The result of the linear regression test on the cultural variable of knowledge, attitudes, and family support showed an value of &lt;/em&gt;&lt;em&gt;α&lt;/em&gt;&lt;em&gt; &amp;gt;0,05, indicating the knowledge, attitude, and family support are not important internal factors in aeradicating dengue fever. Mainwhile, the action and community leader support variable showed value &lt;/em&gt;&lt;em&gt;α&lt;/em&gt;&lt;em&gt; &amp;lt;0,05, which are important internal and external factors in reducing dengue fever levels. Then, HI value for these sub-districts is 6-7, meaning thet the mosquito density is high. The Aedes aegypti mosquito buffer zone has a flying distance 200 meters according to the CDC, so ares within that reach can be affected. This is clarified by using a digital map of the risk area of the Aedes aegypti mosquito causing dengue fever. In conclution, the digital map that includes cultural data, aera characteristics starting from weather, climate, population density, altitude, temperatue, humadity, and characteristics of mosquitoes inhabiting an area, whether they are clustered os spread, can cause the movement of dengue fever mosquitoes or Aedes aegypti to become more aggressive in their activities. So, the internal and external factors in the habitat of the Aedes aegypti mosquito can cause its movement to become more dunamic in spreading the dengue virus.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;p align="justify"&gt;&lt;strong&gt;&lt;em&gt;Keywords: Aedes aegypti Mosquito, Culture, Dengue Fever, GIS (Geographic Information System)&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;

The Level of Knowledge of Parents about Dengue Fever Prevention at Puskesmas II South Denpasar

The level of parental knowledge is still 24%, which is of sufficient value regarding the prevention of dengue hemorrhagic fever in children 5-14 years and this is one of the problems with dengue fever outbreaks. This study aims to determine the level of knowledge of parents about the prevention of dengue fever in children 5-14 years. The study was conducted at Puskesmas II Denpasar Selatan in February-April 2021. The population of this study are parents who have children aged 5-14 years. Research method with descriptive method, the number of samples is 58 respondents with total sampling technique. Measuring tool used is a questionnaire and analyzed with descriptive statistics. The results showed that the knowledge level of the respondents showed an average score of 20.57 (good), then the lowest score was 16 (enough) and the highest score was 25 (good), and most of them had good knowledge as many as 44 respondents (75.9%) and 14 respondents (24, 1%) sufficient knowledge. Based on the age of 36-45 years as many as 30 respondents (51.7%). Female gender as many as 31 respondents (53.4%). Jobs as private employees were 28 respondents (48.3%). SMA / SMK education as many as 22 respondents (37.9%). The conclusion of this study is that the level of knowledge of parents is still 24% of sufficient value and the others have a good level of knowledge. It is recommended to improve educational programs as a basis for preventing dengue fever in the family

Susceptibility of Aedes albopictus, Ae. aegypti and human populations to Ross River virus in Kuala Lumpur, Malaysia.

Emerging arboviruses such as chikungunya and Zika viruses have unexpectedly caused widespread outbreaks in tropical and subtropical regions recently. Ross River virus (RRV) is endemic in Australia and has epidemic potential. In Malaysia, Aedes mosquitoes are abundant and drive dengue and chikungunya outbreaks. We assessed risk of an RRV outbreak in Kuala Lumpur, Malaysia by determining vector competence of local Aedes mosquitoes and local seroprevalence as a proxy of human population susceptibility. We assessed oral susceptibility of Malaysian Ae. aegypti and Ae. albopictus by real-time PCR to an Australian RRV strain SW2089. Replication kinetics in midgut, head and saliva were determined at 3 and 10 days post-infection (dpi). With a 3 log10 PFU/ml blood meal, infection rate was higher in Ae. albopictus (60%) than Ae. aegypti (15%; p<0.05). Despite similar infection rates at 5 and 7 log10 PFU/ml blood meals, Ae. albopictus had significantly higher viral loads and required a significantly lower median oral infectious dose (2.7 log10 PFU/ml) than Ae. aegypti (4.2 log10 PFU/ml). Ae. albopictus showed higher vector competence, with higher viral loads in heads and saliva, and higher transmission rate (RRV present in saliva) of 100% at 10 dpi, than Ae. aegypti (41%). Ae. aegypti demonstrated greater barriers at either midgut escape or salivary gland infection, and salivary gland escape. We then assessed seropositivity against RRV among 240 Kuala Lumpur inpatients using plaque reduction neutralization, and found a low rate of 0.8%. Both Ae. aegypti and Ae. albopictus are susceptible to RRV, but Ae. albopictus displays greater vector competence. Extensive travel links with Australia, abundant Aedes vectors, and low population immunity places Kuala Lumpur, Malaysia at risk of an imported RRV outbreak. Surveillance and increased diagnostic awareness and capacity are imperative to prevent establishment of new arboviruses in Malaysia.

Dengue transmission dynamics prediction by combining metapopulation networks and Kalman filter algorithm.

Predicting the specific magnitude and the temporal peak of the epidemic of individual local outbreaks is critical for infectious disease control. Previous studies have indicated that significant differences in spatial transmission and epidemic magnitude of dengue were influenced by multiple factors, such as mosquito population density, climatic conditions, and population movement patterns. However, there is a lack of studies that combine the above factors to explain their complex nonlinear relationships in dengue transmission and generate accurate predictions. Therefore, to study the complex spatial diffusion of dengue, this research combined the above factors and developed a network model for spatiotemporal transmission prediction of dengue fever using metapopulation networks based on human mobility. For improving the prediction accuracy of the epidemic model, the ensemble adjusted Kalman filter (EAKF), a data assimilation algorithm, was used to iteratively assimilate the observed case data and adjust the model and parameters. Our study demonstrated that the metapopulation network-EAKF system provided accurate predictions for city-level dengue transmission trajectories in retrospective forecasts of 12 cities in Guangdong province, China. Specifically, the system accurately predicts local dengue outbreak magnitude and the temporal peak of the epidemic up to 10 wk in advance. In addition, the system predicted the peak time, peak intensity, and total number of dengue cases more accurately than isolated city-specific forecasts. The general metapopulation assimilation framework presented in our study provides a methodological foundation for establishing an accurate system with finer temporal and spatial resolution for retrospectively forecasting the magnitude and temporal peak of dengue fever outbreaks. These forecasts based on the proposed method can be interoperated to better support intervention decisions and inform the public of potential risks of disease transmission.

Measuring the effects of typhoon trajectories on dengue outbreaks in tropical regions of Taiwan: 1998-2019.

Dengue fever is a rapidly spreading mosquito-borne contagion. However, the effects of extreme rainfall events on dengue occurrences have not been widely evaluated. With their immense precipitation and high winds, typhoons may have distinct effects on dengue occurrence from those during other heavy rain events. Frequented by typhoons and situated in the tropical climate zone, southern Taiwan is an appropriate study area due to its isolated geographic environment. Each subject to distinct orographic effects on typhoon structure and typhoon-induced precipitation, 9 typhoon trajectories around Taiwan have not been observed until now. This study analyzes typhoon-induced precipitation and examines historical typhoon events by trajectory to determine the effects of typhoons on dengue occurrences in different urban contexts of Tainan and Kaohsiung in high-epidemic southern Taiwan. We employed data from 1998 to 2019 and developed logistic regression models for modeling dengue occurrence while taking 28-day lag effects into account. We considered factors including typhoon trajectory, occurrence, and typhoon-induced precipitation to dengue occurrences. Our results indicate that typhoon trajectories are a significant risk factor for dengue occurrence. Typhoons affect dengue occurrence differently by trajectory. One out of four northbound (along the Taiwan Strait) and four out of five westbound (across Taiwan) typhoons were found to be positively correlated with dengue occurrences in southern Taiwan. We observe that typhoon-induced precipitation is not associated with dengue occurrence in southern Taiwan, which suggests that wind destruction during typhoon events may serve as the primary cause for their positive effects by leaving debris suitable for mosquito habitats. Our findings provide insights into the impact of typhoons by trajectory on dengue occurrence, which can improve the accuracy of future dengue forecasts in neighboring regions with similar climatic contexts.

WITHDRAWN: Dengue in Bangladesh

Dengue is one of the prominent public health concerns in tropical and subtropical regions globally. The dengue epidemic was first observed in the 1780s, mainly in Asia, Africa, and America; however, this virus was found in Bangladesh in 1964. Rapid and unplanned urbanization, global warming, and prolonged rainy season promoted dengue outbreaks in recent years in Bangladesh. Additionally, household hazards contribute to producing an increased number of Aedes mosquitoes. The presence of four subtypes of dengue viruses (DENV) intensified the dengue outbreak and fatalities, especially since the reemergence of dengue DENV 4 caused more death in 2022. Dhaka city and Rohingya refugee camps witnessed the highest prevalence of dengue patients and fatalities. Furthermore, the cocreation of the dengue outbreak and COVID-19 pandemic-related hazards overwhelmed the health system in Bangladesh. The measures previously taken by the Bangladesh government and City Corporation authorities proved inadequate to face the surge of dengue patients during the pandemic. The government of Bangladesh should stress the proper management of a high volume of dengue patients and raise public concern to fight mosquito proliferation in hot spots such as Dhaka city and Rohingya refugee camps.

A Habitat Model for Disease Vector Aedes aegypti in the Tampa Bay Area, FloridA.

Within the contiguous USA, Florida is unique in having tropical and subtropical climates, a great abundance and diversity of mosquito vectors, and high rates of human travel. These factors contribute to the state being the national ground zero for exotic mosquito-borne diseases, as evidenced by local transmission of viruses spread by Aedes aegypti, including outbreaks of dengue in 2022 and Zika in 2016. Because of limited treatment options, integrated vector management is a key part of mitigating these arboviruses. Practical knowledge of when and where mosquito populations of interest exist is critical for surveillance and control efforts, and habitat predictions at various geographic scales typically rely on ecological niche modeling. However, most of these models, usually created in partnership with academic institutions, demand resources that otherwise may be too time-demanding or difficult for mosquito control programs to replicate and use effectively. Such resources may include intensive computational requirements, high spatiotemporal resolutions of data not regularly available, and/or expert knowledge of statistical analysis. Therefore, our study aims to partner with mosquito control agencies in generating operationally useful mosquito abundance models. Given the increasing threat of mosquito-borne disease transmission in Florida, our analytic approach targets recent Ae. aegypti abundance in the Tampa Bay area. We investigate explanatory variables that: 1) are publicly available, 2) require little to no preprocessing for use, and 3) are known factors associated with Ae. aegypti ecology. Out of our 4 final models, none required more than 5 out of the 36 predictors assessed (13.9%). Similar to previous literature, the strongest predictors were consistently 3- and 4-wk temperature and precipitation lags, followed closely by 1 of 2 environmental predictors: land use/land cover or normalized difference vegetation index. Surprisingly, 3 of our 4 final models included one or more socioeconomic or demographic predictors. In general, larger sample sizes of trap collections and/or citizen science observations should result in greater confidence in model predictions and validation. However, given disparities in trap collections across jurisdictions, individual county models rather than a multicounty conglomerate model would likely yield stronger model fits. Ultimately, we hope that the results of our assessment will enable more accurate and precise mosquito surveillance and control of Ae. aegypti in Florida and beyond.

A short communication of 2022 dengue outbreak in Bangladesh: a continuous public health threat.

Dengue virus infection, a highly prominent health concern, has caused many health complications, positive cases, and deaths in Bangladesh in previous years. However, the prevalence of this infection and fatality rates in 2022 has shattered all prior records. The dengue virus vector, mosquitoes, found a high prevalence of infection due to the weather's favorable conditions for breeding in the months of June and July. While there is presently no particular vaccination for dengue infection, awareness of its epidemiology, pathogenesis, signs, and symptoms may aid in the development of improved diagnostic and treatment strategies. The government should also improve the infrastructure of cities to make prevent mosquito breeding and the spread of dengue infection.

DENGUE HEMORRHAGIC FEVER INCLINATION TENDENCY IN EAST JAVA PROVINCE VILLAGES COMMUNITY-BASED TOTAL SANITATION

Background: Dengue Hemorrhagic Fever (DHF) is one of the endemic diseases throughout the tropics and parts of the subtropics. One of the provinces that felt the impact of the dengue outbreak was East Java. Overall, villages implementing STBM coverage in East Java Province is good but incidence of DHF is still found in all districts or cities in the last 3-year period. Purpose: This study aims to analyze the relationship and the inclination tendency of Dengue Hemorrhagic Fever in East Java). Methods: This type of research is an observational study with a cross-sectional study design. The sample population used 38 regencies/cities in East Java Province. The data used are the health profile data of East Java Province in 2018, 2019, and 2020. The data analysis technique used descriptive by utilizing the Health Mapper application version 4.3.0.0 with product version 4.03. Results: The distribution of DHF incidence with the coverage of villages implementing STBM East Java in 2018, 2019, 2020 showed decrease the coverage of villages implementing STBM is also followed by an increase DHF cases every year. The coverage of villages that implement Community Based Total Sanitation (STBM) fluctuates every year. Conclusion: Areas with STBM villages cannot guarantee DHF-free zones but can prevent the transmission of Dengue Hemorrhagic Fever (DHF) by changing hygiene and sanitation behavior through community empowerment to create a good sanitation.

PICTUREE-Aedes: A Web Application for Dengue Data Visualization and Case Prediction.

Dengue fever remains a significant public health concern in many tropical and subtropical countries, and there is still a need for a system that can effectively combine global risk assessment with timely incidence forecasting. This research describes an integrated application called PICTUREE-Aedes, which can collect and analyze dengue-related data, display simulation results, and forecast outbreak incidence. PICTUREE-Aedes automatically updates global temperature and precipitation data and contains historical records of dengue incidence (1960-2012) and Aedes mosquito occurrences (1960-2014) in its database. The application utilizes a mosquito population model to estimate mosquito abundance, dengue reproduction number, and dengue risk. To predict future dengue outbreak incidence, PICTUREE-Aedes applies various forecasting techniques, including the ensemble Kalman filter, recurrent neural network, particle filter, and super ensemble forecast, which are all based on user-entered case data. The PICTUREE-Aedes' risk estimation identifies favorable conditions for potential dengue outbreaks, and its forecasting accuracy is validated by available outbreak data from Cambodia.

Numerical Analysis of Fractional-Order Dynamic Dengue Disease Epidemic in Sudan

The main idea of this work is numerical simulation and stability analysis for the fractional-order dynamics of the dengue disease outbreak in Sudan. This research uses a computer technique based on the Adams-Bashforth approach to numerically resolve a fractional-order dengue epidemic in Sudan. Analyses of numerical and dynamic stability show that the fractional-order dengue fever model is sensitive to initial conditions for those parameters. Therefore, the parameters’ values are critical in establishing how many individuals will get better from their sickness and how many will become ill. The proposed method is effective in providing an illustration of the solution’s dynamics over a very long horizon of time, which is crucial for making accurate predictions about the spread of dengue in Sudan. In addition, this method can be utilized to assess the efficacy of various intervention strategies and inform public health policies aimed at reducing the burden of dengue fever in Sudan. It can also assist in identifying areas most susceptible to dengue infestations and prioritizing disease control resources.

Mosquito gene targeted RNAi studies for vector control.

Vector-borne diseases are serious public health concern. Mosquito is one of the major vectors responsible for the transmission of a number of diseases like malaria, Zika, chikungunya, dengue, West Nile fever, Japanese encephalitis, St. Louis encephalitis, and yellow fever. Various strategies have been used for mosquito control, but the breeding potential of mosquitoes is such tremendous that most of the strategies failed to control the mosquito population. In 2020, outbreaks of dengue, yellow fever, and Japanese encephalitis have occurred worldwide. Continuous insecticide use resulted in strong resistance and disturbed the ecosystem. RNA interference is one of the strategies opted for mosquito control. There are a number of mosquito genes whose inhibition affected mosquito survival and reproduction. Such kind of genes could be used as bioinsecticides for vector control without disturbing the natural ecosystem. Several studies have targeted mosquito genes at different developmental stages by the RNAi mechanism and result in vector control. In the present review, we included RNAi studies conducted for vector control by targeting mosquito genes at different developmental stages using different delivery methods. The review could help the researcher to find out novel genes of mosquitoes for vector control.