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Background and aims: Hyperglycemia, also known as diabetes, is a metabolic disorder characterized by elevated levels of glucose in the bloodstream. It can lead to the prolonged dysfunction, injury, and deterioration of several organs. In addition, dengue is a viral illness transmitted by mosquitoes that has reached epidemic proportions worldwide. In this article, we focused on the severity of comorbidities, difficulties in managing them, and preventive measures meant to lessen the risks associated with comorbidities in diabetic patients with dengue infection. Methods: We explored a number of databases, including PubMed, Scopus, Embase, Web of Science, Google Scholar, and the Cochrane Library, for this review article using various related keywords. Results: The findings of this review article indicate that elderly dengue patients with diabetes should be admitted to the hospital for close observation and early management using fluid therapy. An observed association exists between dengue hemorrhagic fever (DHF) and diabetes, indicating a possible consequence in this specific group. Additionally, patients with diabetes who contract dengue show elevated levels of inflammatory markers. Diabetes mellitus deteriorates the immune system, which exacerbates the progression of dengue fever. Cutting‐edge technology and scientific research may assist in addressing the challenges that diabetes and dengue viruses pose in low‐ and middle‐income countries. Implementing innovative diabetic care management is essential to ensuring consistency of care, improving a healthy lifestyle, and lowering patient risk factors and comorbidities. Conclusion: Dengue fever has spread to epidemic levels throughout the world. Inflammatory markers increase and the prevalence of DHF is greater in diabetes individuals with dengue infection. Given the continued growth of dengue in Asian nations, it is imperative that we concentrate our efforts and resources on providing more precise and effective treatment for this emerging issue. [ABSTRACT FROM AUTHOR]

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Mosquito‐borne viruses continue to affect billions of people globally, posing a severe health risk and an economic burden. Aedes albopictus (Skuse), a highly invasive mosquito species, has repeatedly invaded and increased its presence, serving as a key vector of dengue virus, yellow fever virus (YFV), Zika virus (ZIKV), and Chikungunya virus (CHIKV), causing frequent outbreaks of related viral diseases. This study investigated the impact of larval diet quantity on larval duration and adult body size. The effect of adult mosquito body size on various aspects of Ae. albopictus was also examined, including blood‐feeding behavior, follicular development, reproductive capacity, egg retention capacity, preoviposition period, and fecundity. These diverse characteristics all have an effect on arboviruses transmission. The changes in body size (small, medium, and large) are obtained by providing different quantities of larval diet (low, average, and high). The results indicate that the quantity of larval diet directly impacts the adult body size while inversely affecting the larval duration. Furthermore, a positive correlation exists between adult body size and wing length, implying that wing length could be a reliable indicator of adult body size and rearing conditions during the developmental stages. Large females exhibited higher numbers of follicles and greater fecundity. Moreover, a significant correlation was observed between follicle number before the first blood meal and total egg number. In contrast, increasing wing length decreased the number of blood meals, egg retention, and the preoviposition period. The tendency of small females to perform multiple feedings was greater than that of large females. Small females exhibited a higher propensity for multiple feeding activities when compared to their larger counterparts. Most medium‐sized females (92.8%) deposited eggs in their ovaries, however, 7.2% retained a few. In contrast, most large females (87.4%) had complete ovary egg‐laying, whereas a minority (12.6%) retained some of their eggs. About 35.2% of small females showed ovarian egg retention, while 64.8% successfully laid all their eggs. After the first blood meal, the oviposition rate was 92% for large females, 88% for medium females, and 76% for small females. About 69.86% of the follicles in large females underwent vitellogenesis. This finding suggests that small females with low energy reserves exhibited incomplete oviposition and multiple blood feedings to increase their reproductive capacity. Research Highlights: Add more information about arbovirus epidemics and their consequences.Aedes albopictus is a global invasive species that transmit dengue virus, CHIKV, YFV, and ZIKV.A negative correlation was observed between body size, egg retention, and multiple blood feedings in Aedes albopictus.Size of the female's body was positively correlated with fecundity, while it was negatively correlated with the preoviposition period.Size‐dependent multiple blood feeding affects vector‐host contact frequency. [ABSTRACT FROM AUTHOR]

Dengue is a rapidly spreading mosquito‐borne infectious disease that is sensitive to climate factors and poses a major public health concern worldwide. We analyzed dengue incidence trends and the relationship between annual mean minimum temperatures (AMMTs) and dengue incidence rates from 1990 to 2019 in 122 countries using the Global Burden of Disease and TerraClimate data sets. We also projected global dengue incidence rates under different carbon emission scenarios using temperature data from the Coupled Model Intercomparison Project Phase 6 (CMIP6) data set. Our results reveal a significant increase in global dengue cases from 1990 to 2019 and a positive correlation between temperature and dengue incidence. The association between AMMT and dengue incidence strengthened at temperatures exceeding 21°C. Central and eastern sub‐Saharan Africa, as well as Oceania, were identified as the regions most sensitive to dengue; males and individuals aged 15–19 or 70–84 years were the most susceptible to dengue under rising temperatures. Our projections suggest that global dengue incidence will substantially increase by 2050 and 2100. By 2100, regions including Africa, the Arabian Peninsula, the southern United States, southern China, and island countries in the Pacific and Indian Oceans are projected to become year‐round dengue‐endemic under a high‐emission climate scenario. Our findings underscore the importance of implementing effective measures to mitigate the impact of climate change on dengue transmission. Identifying high‐risk areas and susceptible populations, along with understanding the projected expansion of dengue‐endemic regions, will provide valuable guidance for targeted interventions to address this growing global health challenge in the face of changing climatic conditions. Plain Language Summary: Climate change is driving the rapid spread of several overlooked tropical infectious diseases, including dengue, which is a classic climate‐sensitive infectious disease. Unlike localized infectious diseases, dengue occurs globally, making it a major concern. Few studies have investigated the effect of climate change on dengue. Regions and populations susceptible to dengue should be identified, and dengue incidence trends should be analyzed. We analyzed data from 122 countries for the period 1990–2019 to investigate the relationship between dengue and temperature. We also made predictions about potential dengue outbreaks based on the basis of different carbon emissions levels. Our analysis revealed a global increase in the incidence of dengue cases and a correlation between higher temperatures and more cases. Africa and Oceania are particularly sensitive to dengue outbreaks. The effect of rising temperature on dengue risk is stronger for male individuals and individuals aged 15–19 or 70–84 years. Our projections suggest that dengue incidence will continue to increase through 2050 and 2100. Our findings emphasize the urgent need to address climate change's effect on dengue. By identifying high‐risk areas and vulnerable populations, efforts for controlling this growing global health challenge can be better targeted. Key Points: Global warming significantly contributed to dengue incidenceCentral and eastern sub‐Saharan Africa, Oceania, males, aged 15–19 and 70–84 years were susceptible to dengue under global warmingSubstantial increases in global dengue incidence by 2050 and 2100 [ABSTRACT FROM AUTHOR]

Filariasis is a neglected tropical ailment that is among the oldest on Earth. It causes deformities and has a low fatality rate, but it causes a wide spectrum of clinical symptoms and a high morbidity rate, which causes society to stigmatise the disease. The underlying cause of this medical illness is nematode worms, which are thread-like worms that are categorised according to their presence in vertebrate hosts. Mansonella ozzardi and Onchocerca volvulus are members of the body cavity group, Brugia malayi and Brugia timori are members of the lymphatic group, and Onchocerca streptocerca and Loa loa are members of the cutaneous group. Several pathological problems accompany the mosquito-borne illness lymphatic filariasis, which is among the most common diseases in tropical and subtropical areas. Research into filariasis has advanced rapidly in recent years, shedding light on the parasite's genetics, the host-parasite dynamic, the disease's pathophysiology and the efficacy of treatment. To avoid side effects and provide permanent relief from the aforementioned filarial infections, which cannot be achieved with the marketed drug-therapy, there is a need for an alternative herbal medicinal therapy for filariasis, even though there are marketed preparations for the treatment. Consequently, the plant items that have been shown to be effective against severe filarial infections are the focus of this review. [ABSTRACT FROM AUTHOR]

Background: Physical symptoms of dengue have been documented extensively, but knowledge gaps on dengue-associated mental health hazards remain. We investigated the frequency of psychiatric symptoms (depression, anxiety, and stress) and neurocognitive performance during the first year after a dengue episode. Methods: Using DASS-21 scores at 3, 6, and 12 months, we assessed depression, anxiety, and stress in anti-dengue IgM-positive adults and matched controls during the 2021 dengue season in Esmeraldas Province, Ecuador. Patients with DASS-21 scores ≤ 4 were considered normal; those with scores of 5–7, 8–10, and ≥ 11 indicated mild, moderate, and severe depression, respectively; cutoff scores for anxiety and stress were ≥ 5 and ≥ 9, respectively. We also assessed 'delayed matching to sample' (DMS) and 'spatial working memory' (SWM) using the Cambridge Neuropsychological Test Automated Battery. Results: We enrolled 102 cases and 78 controls. At 3 months, 90 cases and 70 controls were available for follow-up, among these 40/90 (44.4%) cases and 12/70 (17.1%) controls had DASS-21 scores ≥ 5 (RR 2.7, 95% CI [1.5–4.7]). Dengue remained a predictor for depression after adjusting for age, sex, and COVID-19 status. We observed no difference in anxiety between the groups, but stress scores increased at month 3 (RR 1.87, 95% CI [1.01–3.4]). DASS-21 scores normalized during follow-up. DMS and SWM did not differ between groups at 3 and 6 months. At month 12, cases had lower SWM than controls did (p value < 0.001). Conclusions: Care providers should be aware of dengue-associated mood disorders and facilitate timely referral to mental health services. Future longitudinal studies are warranted to validate our observations regarding the impact of dengue on mental health and neurocognitive status in affected patients. [ABSTRACT FROM AUTHOR]

Background: Dengue is a vector-borne viral infection caused by the dengue virus transmitted to humans primarily by Aedes aegypti. The year 2024 has been a historic year for dengue in Brazil, with the highest number of probable cases ever registered. Herein, we analyze the temporal trend and spatio-temporal dynamics of dengue cases in Brazil during the first nine epidemiological weeks (EW) of 2024. Methods: This is an ecological study, including all probable cases of dengue in Brazil during the period, carried out in two steps: time series analysis to assess the temporal trend and spatial analysis to identify high-risk clusters. Results: 1,345,801 probable cases of dengue were reported. The regions with the highest increasing trend were the Northeast with an average epidemiologic week percent change (AEPC) of 52.4 (95% CI: 45.5–59.7; p < 0.001) and the South with 35.9 (95% CI: 27.7–44.5; p < 0.001). There was a statistically significant increasing trend in all states, except Acre (AEPC = -4.1; 95% CI: -16.3–10; p = 0.55), Amapá (AEPC = 1.3; 95% CI: -16.2–22.3; p = 0.9) and Espírito Santo (AEPC = 8.9; 95% CI: -15.7–40.6; p = 0.5). The retrospective space-time analysis showed a cluster within the Northeast, Central-West and Southeast regions, with a radius of 515.3 km, in which 1,267 municipalities and 525,324 of the cases were concentrated (RR = 6.3; p < 0.001). Regarding the spatial variation of the temporal trend, 21 risk areas were found, all of them located in Southeast or Central-West states. The area with the highest relative risk was Minas Gerais state, where 5,748 cases were concentrated (RR = 8.1; p < 0.001). Finally, a purely spatial analysis revealed 25 clusters, the one with the highest relative risk being composed of two municipalities in Acre (RR = 6.9; p < 0.001). Conclusions: We described a detailed temporal-spatial analysis of dengue cases in the first EWs of 2024 in Brazil, which were mainly concentrated in the Southeast and Central-West regions. Overall, it is recommended that governments adopt public policies to control the the vector population in high-risk areas, as well as to prevent the spread of dengue fever to other areas of Brazil. [ABSTRACT FROM AUTHOR]

Dengue, an acute febrile disease transmitted by Aedes mosquitoes, is caused by the dengue virus (DENV), presenting a formidable challenge to global public health. By examining clues from ancient Chinese books and conducting a comprehensive review, this study elucidates the characteristics of potential dengue epidemics in China prior to 1978. This evidence indicates that China may not have experience dengue epidemics before 1840. During 1840–1949, however, it experienced a noticeable dengue occurrence and prevalence in the 1870s, 1920s, and 1940s. Then from 1949 to 1978, only sporadic reports were accounted. The disparity in the frequency of dengue occurrences across three time periods suggests that the persistent characteristic of dengue epidemics in China primarily arises from imported cases resulting from international exchanges, subsequently leading to local outbreaks influenced by global epidemic trend. This research offers a novel perspective on retrospectively examining the historical trajectory of dengue epidemics and provides valuable insights into exploration of DENV epidemic patterns. [ABSTRACT FROM AUTHOR]

Background: The World Health Organization (WHO) has emphasized the urgent need for alternative strategies to chemical insecticides for controlling mosquito populations, particularly the invasive Aedes species, which are known vectors of arboviruses. Among these alternative approaches, the sterile insect technique (SIT) is experiencing rapid development, with numerous pilot trials being conducted worldwide. Main text: This review aims to elucidate the principles of SIT and highlight the significant recent advancements that have facilitated its scalability. I also employ a phased conditional approach to categorize the progression of 39 projects, drawing on peer reviewed studies, press releases and direct communication with project managers. This review indicates that a substantial number of projects illustrate the efficacy of SIT in suppressing Aedes populations, with one project even demonstrating a reduction in dengue incidence. I offer several recommendations to mitigate potential failures and address the challenges of compensation and overcompensation when implementing SIT field trials. Furthermore, I examine the potential implications of male mating harassment on the effectiveness of SIT in reducing disease transmission. Conclusions: This comprehensive assessment underscores the promise of SIT as a viable strategy for mosquito control. The insights gained from these trials not only contribute to the understanding of SIT's effectiveness but also highlight the importance of careful project management and ecological considerations in the pursuit of public health objectives. [ABSTRACT FROM AUTHOR]

Background: Dengue is a vector-borne debilitating disease that is manifested as mild dengue fever, dengue with warning signs, and severe dengue. Dengue infection provokes a collective immune response; in particular, the innate immune response plays a key role in primary infection and adaptive immunity during secondary infection. In this review, we comprehensively walk through the various markers of immune response against dengue pathogenesis and outcome. Main body: Innate immune response against dengue involves a collective response through the expression of proinflammatory cytokines, such as tumor necrosis factors (TNFs), interferons (IFNs), and interleukins (ILs), in addition to anti-inflammatory cytokines and toll-like receptors (TLRs) in modulating viral pathogenesis. Monocytes, dendritic cells (DCs), and mast cells are the primary innate immune cells initially infected by DENV. Such immune cells modulate the expression of various markers, which can influence disease severity by aiding virus entry and proinflammatory responses. Adaptive immune response is mainly aided by B and T lymphocytes, which stimulate the formation of germinal centers for plasmablast development and antibody production. Such antibodies are serotype-dependent and can aid in virus entry during secondary infection, mediated through a different serotype, such as in antibody-dependent enhancement (ADE), leading to DENV severity. The entire immunological repertoire is exhibited differently depending on the immune status of the individual. Short conclusion: Dengue fever through severe dengue proceeds along with the modulated expression of several immune markers. In particular, TLR2, TNF-α, IFN-I, IL-6, IL-8, IL-17 and IL-10, in addition to intermediate monocytes (CD14+CD16+) and Th17 (CD4+IL-17+) cells are highly expressed during severe dengue. Such markers could assist greatly in severity assessment, prompt diagnosis, and treatment. [ABSTRACT FROM AUTHOR]

In this work, we formulate a two-strain model of dengue infection, incorporating the possibility of co-infection through integer and Caputo-type fractional derivatives. We present the foundational theory and results related to fractional operators for the analysis of the proposed dengue model. We establish the positivity and boundedness of the solution to validate the model. It is demonstrated that the solution to the proposed model exists and is unique. The basic reproduction number, denoted by ℛc, is determined, and the local asymptotic stability of the dengue-free equilibrium point is established when ℛc < 1. We also prove the existence of an endemic equilibrium and establish the global stability of solutions to the fractional model in the Ulam–Hyers sense. Additionally, we construct a numerical scheme and prove its stability under certain conditions. Several numerical simulations are performed to validate our analytical results, and we examine the impact of various input factors on the solution pathways of the system through these simulations. [ABSTRACT FROM AUTHOR]

Issue Addressed Methods Results Conclusions So What? An important part of preventing and managing Aedes‐borne mosquito disease outbreak risk is engaging the community. Research shows that high‐income countries tend to use top‐down measures for Aedes mosquito management, favouring educational approaches to engage the community over participatory approaches that actively involve and empower the community in addressing disease risk. Little is known about the reasons behind the use of these approaches and how they could be strengthened. This research explores the community engagement approaches used in Aedes mosquito management in Cairns, Queensland, Australia and the factors influencing the choice of these approaches.A case study design was used, drawing on two qualitative methods—key informant, semi‐structured interviews (n = 25), and a document review (n = 20). Thematic analysis was used to identify, analyse and attribute meaning from the data.Various approaches were used to engage the community, including direct interaction through door‐to‐door inspections, broad outreach via mass media campaigns, and community participation in a novel mosquito replacement strategy. Factors influencing the choice of these approaches included government legislative responsibilities, research‐related ethical obligations, work norms within local government and public health units, the perceived importance of gaining community trust, constraints on workforce capacity, time and funding.There were multiple factors influencing the community engagement approaches used in this study. Resource constraints, institutional norms and prevailing attitudes and beliefs were identified as hindering the use of more empowering approaches to engaging the community. These barriers should be considered and addressed in the planning of Aedes mosquito management to better support community engagement in this setting.Community engagement is an important aspect of managing the Aedes mosquito disease threat. With the global increase in Aedes mosquito‐borne disease risk, these findings can help other at‐risk settings understand potential organisational impediments to engaging the community. This is particularly important when advocating for the inclusion of bottom‐up approaches in policy, and to ensure sufficient resources are allocated to strengthen community engagement in Aedes mosquito management. [ABSTRACT FROM AUTHOR]

The increased incidence of dengue poses a substantially global public health challenge. There are no approved antiviral drugs to treat dengue infections. Ivermectin, an old anti‐parasitic drug, had no effect on dengue viremia, but reduced the dengue non‐structural protein 1 (NS1) in a clinical trial. This is potentially important, as NS1 may play a causal role in the pathogenesis of severe dengue. This study established an in‐host model to characterize the plasma kinetics of dengue virus and NS1 with host immunity and evaluated the effects of ivermectin, using a population pharmacokinetic–pharmacodynamic (PK–PD) modeling approach, based on two studies in acute dengue fever: a placebo‐controlled ivermectin study in 250 adult patients and an ivermectin PK–PD study in 24 pediatric patients. The proposed model described adequately the observed ivermectin pharmacokinetics, viral load, and NS1 data. Bodyweight was a significant covariate on ivermectin pharmacokinetics. We found that ivermectin reduced NS1 with an EC50 of 67.5 μg/mL. In silico simulations suggested that ivermectin should be dosed within 48 h after fever onset, and that a daily dosage of 800 μg/kg could achieve substantial NS1 reduction. The in‐host dengue model is useful to assess the drug effect in antiviral drug development for dengue fever. [ABSTRACT FROM AUTHOR]

Dengue is a viral infection caused by an arbovirus and spread through the bites of mosquitoes of the genus Aedes which causes significant human and economic damage every year. Preventive measures have been taken to reduce the proliferation of the transmitting mosquito and efforts are being made to obtain an efficient vaccine for the disease. Parallel to these measures, several studies present a model for the spread of the disease in order to determine relevant factors in the process and thus guide preventive measures and future vaccination initiatives.Within this context, this work brings a modeling for the spread of the disease through a system of differential equations where the geographic region studied (a Brazilian city) is divided into sub-regions with human circulation between them, thus making humans the spreader of the disease.Using the model, it was possible to characterize the time series of people infected with dengue in the city of Goiânia, Brazil, between 2000 and 2003 using two and three subdivisions of the geographic region studied. Seasonal cycles of the disease have been described without exhausting the number of susceptible humans. [ABSTRACT FROM AUTHOR]

Background: Dengue, a viral infection transmitted by Aedes species mosquitoes, presents a substantial global public health concern, particularly in tropical regions. In Bangladesh, where dengue prevalence is noteworthy, accurately mapping the distribution of high-risk and low-risk areas and comprehending the clustering of dengue cases throughout the year is essential for the development of effective risk-based prevention and control strategies. Our objective was to identify dengue hotspots and temporal patterns over the years across Bangladesh in the years 2019–2023 excluding year 2020. Methods: A sequential spatial analysis was employed for each year to identify high-risk areas for dengue cases. Choropleth graphs were used to visualize the geographic distribution of dengue incidence rates per million population across the areas. Monthly distribution analysis was performed to identify temporal trends over the year 2022 and 2023. Additionally, the global Moran's I test was used to assess the overall geographical pattern. Subsequently, Anselin local Moran's I test was employed to identified clustering and hotspots of dengue incidences. Results: Dengue cases in Bangladesh exhibited a significant increase from 2019 to 2023 (excluding 2020 data), with a cumulative total of 513,344 reported cases. Dhaka city initially bore substantial burden, accounting for over half (51%) of the 101,354 cases in 2019. The case fatality rate also demonstrated a steadily rise, reaching 0.5% in 2023 with 321,179 cases (a five-fold increase compare to 2022). Interestingly, the proportion of cases in Dhaka decreased from 51% in 2019 to 34% in 2023. Notably, the southeast and central regions of Bangladesh showed the highest dengue rates, persisting throughout the study period. Cases were concentrated in urban regions, with Dhaka City exhibiting the highest caseload in most years, followed by Manikganj in 2023. A distinct temporal shift in dengue transmission was observed in 2023, when the peak incidence occurred three months earlier in July with complete geographic coverage (all the 64 districts) compared to the peak in October 2022 (covering 95%, 61 districts). Positive global autocorrelation analysis revealed spatial dependence, with more stable trends in 2023 compared to previous years. Several districts like, Bagerhat, Barisal, and Faridpur remained persistent hotspots or emerged as new hotspots in 2023. Conversely, districts like Dinajpur, Gaibandha, Nilphamari, Rangpur and Sylhet consistently exhibited low caseloads, categorized as dengue coldspots throughout most of the years. Jhalokati in 2019 and Gopalganj in 2022, both initially classified as low-incidence district surrounded by high-incidence districts, emerged as hotspots in 2023. Conclusion: This study sheds light on the spatiotemporal dynamics of dengue transmission in Bangladesh, particularly by identifying hotspots and clustering patterns. These insights offer valuable information for designing and implementing targeted public health interventions and control strategies. Furthermore, the observed trends highlight the need for adaptable strategies to address the region's evolving nature of dengue transmission effectively. Author summary: Dengue poses a serious global health threat, particularly in tropical regions like Bangladesh. Effective prevention and control depend on accurately mapping high-risk (hotspots) and low-risk (coldspots) areas. Using sequential spatial analysis, this study revealed a concerning rise in dengue cases, with a total of 513,344 reported of the study periods. The case fatality rate also increased, rising from 0.16% in 2019 to 0.5% in 2023. Initially, Dhaka city bore the highest burden, accounting for over half of the cases in 2019. However, a worrying shift emerged in 2023. Cases surged nationwide, with geographical coverage peaking in July–three months earlier than the typical October peak observed in 2022. This surge achieved complete geographic coverage, unlike the previous year. Spatial analysis indicated a strong spatial dependence of the disease, with trends stabilizing in 2023 compared to previous years. The study identified persistent hotspots in Bagerhat, Barisal, and Faridpur districts, while Dinajpur, Gaibandha, Nilphamari, Rangpur, and Sylhet districts emerged as coldspots. The southeast and central regions consistently showed high dengue rates. These findings underscore the dynamic nature of dengue transmission in Bangladesh, emphasizing the need for adaptable public health strategies and targeted interventions. [ABSTRACT FROM AUTHOR]

Classifiers have been developed to help diagnose dengue fever in patients presenting with febrile symptoms. However, classifier predictions often rely on the assumption that new observations come from the same distribution as training data. If the population prevalence of dengue changes, as would happen with a dengue outbreak, it is important to raise an alarm as soon as possible, so that appropriate public health measures can be taken and also so that the classifier can be re-calibrated. In this paper, we consider the problem of detecting such a change in distribution in sequentially-observed, unlabeled classification data. We focus on label shift changes to the distribution, where the class priors shift but the class conditional distributions remain unchanged. We reduce this problem to the problem of detecting a change in the one-dimensional classifier scores, leading to simple nonparametric sequential changepoint detection procedures. Our procedures leverage classifier training data to estimate the detection statistic, and converge to their parametric counterparts in the size of the training data. In simulated outbreaks with real dengue data, we show that our method outperforms other detection procedures in this label shift setting. [ABSTRACT FROM AUTHOR]

Dengue, a zoonotic viral disease transmitted by Aedes mosquitoes, poses a significant public health concern throughout the Lao People's Democratic Republic (Lao PDR). This study aimed to describe spatial–temporal patterns and quantify the effects of environmental and climate variables on dengue transmission at the district level. The dengue data from 2015 to 2020 across 148 districts of Lao PDR were obtained from the Lao PDR National Center for Laboratory and Epidemiology (NCLE). The association between monthly dengue occurrences and environmental and climate variations was investigated using a multivariable Zero-inflated Poisson regression model developed in a Bayesian framework. The study analyzed a total of 72,471 dengue cases with an incidence rate of 174 per 100,000 population. Each year, incidence peaked from June to September and a large spike was observed in 2019. The Bayesian spatio-temporal model revealed a 9.1% decrease (95% credible interval [CrI] 8.9%, 9.2%) in dengue incidence for a 0.1 unit increase in monthly normalized difference vegetation index at a 1-month lag and a 5.7% decrease (95% CrI 5.3%, 6.2%) for a 1 cm increase in monthly precipitation at a 6-month lag. Conversely, dengue incidence increased by 43% (95% CrI 41%, 45%) for a 1 °C increase in monthly mean temperature at a 3-month lag. After accounting for covariates, the most significant high-risk spatial clusters were detected in the southern regions of Lao PDR. Probability analysis highlighted elevated trends in 45 districts, emphasizing the importance of targeted control strategies in high-risk areas. This research underscores the impact of climate and environmental factors on dengue transmission, emphasizing the need for proactive public health interventions tailored to specific contexts in Lao PDR. [ABSTRACT FROM AUTHOR]

Background: Dengue outbreaks are common in tropical or temperate countries, and climate change can exacerbate the problem by creating conditions conducive to the spread of mosquitoes and prolonging the transmission season. Warmer temperatures can allow mosquitoes to mature faster and increase their ability to spread disease. Additionally, changes in rainfall patterns can create more standing water, providing a breeding ground for mosquitoes. Objective: The objective of this study is to investigate the correlation between environmental and demographic factors and the dissemination of dengue fever. The study will use yearly data from 2000 to 2021 from 11 countries highly affected by dengue, considering multiple factors such as dengue cases, temperatures, precipitation, and population to better understand the impact of these variables on dengue transmission. Methods: In this research, Poisson regression (PR) and negative binomial regression (NBR) models are used to model count data and estimate the effect of different predictor variables on the outcome. Also, histogram plots and pairwise correlation plots are used to provide an initial overview of the distribution and relationship between the variables. Moreover, Goodness-of-fit tests, t-test analysis, diagnostic plots, influence plots, and residual vs. leverage plots are used to check the assumptions and validity of the models and identify any outliers or influential observations that may be affecting the results. Results: The findings indicate that mean temperature and log(Urban) had a positive impact on dengue infection rates, while maximum temperature, log(Precipitation), and population density had a negative impact. However, minimum temperature, log(Rural), and log(Total population) did not demonstrate any significant effects on the incidence of dengue. Conclusion: The impact of demographic-environmental factors on dengue outbreaks in 11 Asian countries is illuminated by this study. The results highlight the significance of mean temperature (Tmean), maximum temperature (Tmax), log(Urban), log(Precipitation), and population density in influencing dengue incidence rates. However, further research is needed to gain a better understanding of the role of additional variables, such as immunity levels, awareness, and vector control measures, in the spread of dengue. [ABSTRACT FROM AUTHOR]

Introduction: The dengue epidemic poses a significant public health challenge in Malaysia, and the concurrent presence of dengue and SARS-CoV-2 infections has further strained its healthcare system. Sabah, the second largest state in Malaysia, located in the northern part of Borneo Island, has been particularly hard-hit by both dengue and SARS-CoV-2 outbreaks. This study aims to analyze the status of dengue infections in Sabah over the past decade and understand the impact of the COVID-19 pandemic on dengue virus transmission. Methodology: This study compared the annual dengue cases and associated deaths in Sabah from 2012 to 2022. Systematic data and information were collected from PubMed, the World Health Organization, the Centers for Disease Control and Prevention, and the official government reporting system of Malaysia. Results: Dengue cases in Sabah increased overall with slight fluctuations over the years, marked by new outbreaks approximately every 3-5 years. The number of deaths did not consistently correlate with reported dengue cases. Early in the COVID-19 pandemic in 2020, dengue cases remained high; however, as COVID-19 cases surged, dengue cases experienced a significant decline. Conversely, from mid-2022, dengue cases surged in Sabah despite COVID-19 cases remaining relatively low and well-controlled. Particularly noteworthy is the 99% increase in dengue cases in Sabah, contrasting sharply with Malaysia's overall 36% decrease in 2022 compared to 2015 to 2019. Conclusions: Monitoring and prioritizing efforts to prevent COVID-19 and control dengue transmission is crucial. The dual challenges posed by these diseases offer valuable lessons that should be incorporated into future pandemic-preparedness strategies. [ABSTRACT FROM AUTHOR]

The incidence of dengue virus disease has increased globally across the past half-century, with highest number of cases ever reported in 2019 and again in 2023. We analyzed climatological, epidemiological, and phylogenomic data to investigate drivers of two decades of dengue in Cambodia, an understudied endemic setting. Using epidemiological models fit to a 19-y dataset, we first demonstrate that climate-driven transmission alone is insufficient to explain three epidemics across the time series. We then use wavelet decomposition to highlight enhanced annual and multiannual synchronicity in dengue cycles between provinces in epidemic years, suggesting a role for climate in homogenizing dynamics across space and time. Assuming reported cases correspond to symptomatic secondary infections, we next use an age-structured catalytic model to estimate a declining force of infection for dengue through time, which elevates the mean age of reported cases in Cambodia. Reported cases in >70-y-old individuals in the 2019 epidemic are best explained when also allowing for waning multitypic immunity and repeat symptomatic infections in older patients. We support this work with phylogenetic analysis of 192 dengue virus (DENV) genomes that we sequenced between 2019 and 2022, which document emergence of DENV-2 Cosmopolitan Genotype-II into Cambodia. This lineage demonstrates phylogenetic homogeneity across wide geographic areas, consistent with invasion behavior and in contrast to high phylogenetic diversity exhibited by endemic DENV-1. Finally, we simulate an age-structured, mechanistic model of dengue dynamics to demonstrate how expansion of an antigenically distinct lineage that evades preexisting multitypic immunity effectively reproduces the older-age infections witnessed in our data. [ABSTRACT FROM AUTHOR]

Background: While dengue NS1 antigen has been shown to be associated with disease pathogenesis in some studies, it has not been linked in other studies, with the reasons remaining unclear. NS1 antigen levels in acute dengue are often associated with increased disease severity, but there has been a wide variation in results based on past dengue infection and infecting dengue virus (DENV) serotype. As NS1 engages with many host lipids, we hypothesize that the type of NS1-lipid interactions alters its pathogenicity. Methods: Primary human monocyte derived macrophages (MDMs) were co-cultured with NS1 alone or with HDL, LDL, LPS and/or platelet activating factor (PAF) from individuals with a history of past dengue fever (DF = 8) or dengue haemorrhagic fever (DHF = 8). IL-1β levels were measured in culture supernatants, and gene expression analysis carried out in MDMs. Monocyte subpopulations were assessed by flow cytometry. Hierarchical cluster analysis with Euclidean distance calculations were used to differentiate clusters. Differentially expressed variables were extracted and a classifier model was developed to differentiate between past DF and DHF. Results: Significantly higher levels of IL-1β were seen in culture supernatants when NS1 was co-cultured with LDL (p = 0.01, median = 45.69 pg/ml), but lower levels when NS1 was co-cultured with HDL (p = 0.05, median = 4.617 pg/ml). MDMs of those with past DHF produced higher levels of IL-1β when NS1 was co-cultured with PAF (p = 0.02). MDMs of individuals with past DHF, were significantly more likely to down-regulate RPLP2 gene expression when macrophages were co-cultured with either PAF alone, or NS1 combined with PAF, or NS1 combined with LDL. When NS1 was co-cultured with PAF, HDL or LDL two clusters were detected based on IL10 expression, but these did not differentiate those with past DF or DHF. Conclusions: As RPLP2 is important in DENV replication, regulating cellular stress responses and immune responses and IL-10 is associated with severe disease, it would be important to further explore how differential expression of RPLP2 and IL-10 could lead to disease pathogenesis based on NS1 and lipid interactions. [ABSTRACT FROM AUTHOR]

Background: Dengue is a global public health challenge which requires accurate diagnostic methods for surveillance and control. The gold standard for detecting dengue neutralizing antibodies (nAbs) is the plaque reduction neutralization test (PRNT), which is both labor-intensive and time-consuming. This study aims to evaluate three alternative approaches, namely, the MTT-based (or (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) microneutralization assay, the xCELLigence real-time cell analysis (RTCA), and the immuno-plaque assay-focus reduction neutralization test (iPA-FRNT). Methods: Twenty-two residual serum samples were tested for DENV-2 nAbs using all four assays at three neutralization endpoints of 50%, 70% and 90% inhibition in virus growth. For each neutralization endpoint, results were compared using linear regression and correlation analyses. Test performance characteristics were further obtained for iPA-FRNT using 38 additional serum samples. Results: Positive correlation of DENV-2 neutralization titers for the MTT-based microneutralization assay and the PRNT assay was only observed at the neutralization endpoint of 50% (r = 0.690). In contrast, at all three neutralization end points, a linear trend and positive correlation of DENV-2 neutralization titers for the xCELLigence RTCA and the PRNT assays were observed, yielding strong or very strong correlation (r = 0.829 to 0.967). This was similarly observed for the iPA-FRNT assay (r = 0.821 to 0.916), which also offered the added advantage of measuring neutralizing titers to non-plaque forming viruses. Conclusion: The xCELLigence RTCA and iPA-FRNT assays could serve as suitable alternatives to PRNT for dengue serological testing. The decision to adopt these methods may depend on the laboratory setting, and the utility of additional applications offered by these technologies. [ABSTRACT FROM AUTHOR]

Dengue is an important vector-borne disease occurring globally. Dengue virus (DENV) infection can result in a potentially life-threatening disease. To date, no DENV-specific antiviral treatment is available. Moreover, an equally effective panserotype dengue virus vaccine is not available. Recently, two DENV vaccines, Dengvaxia and Qdenga, were licensed for limited use. However, none of them have been approved in Bangladesh. DENV is transmitted by Aedes mosquitoes, and global warming caused by climate change favoring Aedes breeding plays an important role in increasing DENV infections in Bangladesh. Dengue is a serious public health concern in Bangladesh. In the year 2023, Bangladesh witnessed its largest dengue outbreak, with the highest number of dengue cases (n  =  321,179) and dengue-related deaths (n  =  1,705) in a single epidemic year. There is an increased risk of severe dengue in individuals with preexisting DENV-specific immunoglobulin G if the individuals become infected with different DENV serotypes. To date, vector control has remained the mainstay for controlling dengue; therefore, an immediate, strengthened, and effective vector control program is critical and should be regularly performed for controlling dengue outbreaks in Bangladesh. In addition, the use of DENV vaccine in curbing dengue epidemics in Bangladesh requires more consideration and judgment by the respective authority of Bangladesh. This review provides perspectives on the control and prevention of dengue outbreaks. We also discuss the challenges of DENV vaccine use to reduce dengue epidemics infection in Bangladesh. [ABSTRACT FROM AUTHOR]

Dengue infection has become one of the most important mosquito-borne diseases worldwide and is caused by the dengue virus (DENV). Recently, neither patent drug, phytopharmaceutical medicine, nor standardized herbal medicine has been officially available against DENV. Dried red jujube fruit (Ziziphus jujuba) ethanol extract has been proven to have an antiviral effect, anti-inflammatory efficacy, and antioxidant properties, which have potential activity against DENV infection. This research was conducted to analyze the antiviral activity of dried red jujube fruit ethanol extract against DENV-2 in vitro. The halfmaximal cytotoxic concentration (CC50) and half-maximal inhibitory concentration (IC50) were examined on Vero cells by a 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, whereas the halfmaximal effective concentration (EC50) was determined using luminescence assay. The selectivity index (SI) value was determined from the ratio of CC50 and EC50. Dried red jujube fruit ethanol extracts inhibited DENV-2 in 24.59%, 22.39%, 17.98%, 14.5%, 6.42%, and 1.28% at 80 μg/mL, 40 μg/mL, 20 μg/mL, 10 μg/ mL, 5 μg/mL, and 2.5 μg/mL, respectively. The extract exhibited antiviral activity against DENV-2, showing a CC50 of 67.73 μg/mL, an IC50 value of 166.18 μg/mL, and an EC50 of 64.87 μg/mL, with an SI of 1.04. The LD50 value was 707.95 mg/kg. Dried red jujube fruit ethanol extract could be a potential candidate for developing an antiviral against DENV-2. [ABSTRACT FROM AUTHOR]

After the COVID-19 pandemic, efforts have gradually been focused on medical care, epidemiological surveillance, and preventive health programs. An example of this is the identification during 2023 by the Epidemiological Surveillance System [of Mexico] of the increase in dengue cases and the presence of serotype 3, as well as cases of measles (imported and related to importation) and, at the same time, cases of human rabies with transmission from pet animals. Mexico's health system has been characterized by achievements in vaccine-preventable pathologies, as well as the robust epidemiological surveillance system for febrile exanthematous illness and vector-transmitted diseases. In this essay, the previous and current situation of selected diseases in Mexico in the post-pandemic stage of COVID-19 is presented. [ABSTRACT FROM AUTHOR]

Introduction: Dengue is a viral disease that is transmitted by mosquitoes and highly prevalent in Malaysia. The disease is caused by fourdistinct subtypes of dengue virus (DENV) that are closely related. In Malaysia, a total of 123,133 dengue cases were reported in 2023, com-pared to 7,103 cases reported in 2000. Selangor and Kuala Lumpur recorded the highest number and incidence rate of dengue cases and re-lated mortality. Methods: This article presents a protocol to explore the efficacy of a combined intervention, integrated dengue education andlearning module (iDEAL) and Aedestech Mosquito Home System (AMHS), in improving schoolchildren's knowledge, attitude, practice (KAP), including environmental cleanliness index and dengue index in Selangor and Kuala Lumpur. Primary (n = 10) and secondary schools (n = 10)in the study locations will be recruited for the cluster randomised controlled trial (RCT) for a 2-year period. The intervention group will be sub-jected to a combined theory-based intervention, IDEAL and AMHS, while the control group will receive conventional education. The efficacyof the intervention module will be evaluated at four time points. Data will be analysed using the Generalised Linear Mixed Model (GLMM) for the main and interaction effectsat each follow-up point. P-values of 0.05 and 95% confidence interval will be considered for hypothesis testing. Discussion: The findings from this study will assist in identifying effective educational strategies for enhancing KAP among this vulnera-ble young population in Selangor and Kuala Lumpur, and possibly other states in Malaysia. Trial Registration: This trial has received ap-proval from the Ethics Committee for Research Involving Human Subjects of Universiti Putra Malaysia (JKEUPM-2023-635) and the NationalMedical Research Registration of Malaysia (NMRR) (NMRR ID-23-02822-CPZ). Additionally, the RCT has been registered with the Thai Clini-cal Trial Registry (TCTR) (Reference number: TCTR20230513002). [ABSTRACT FROM AUTHOR]

Introduction: Dengue is widely distributed mosquito-borne viral disease around the world. The objectives of this study are to assess the level of knowledge and awareness on dengue compared to Covid-19 during its pandemic season and to predict dengue outbreak risk at Selangor in 2022 using epidemiological parameters. Materials and methods: This was a cross-sectional study conducted on 388 respondents using validated questionnaire and accessible data in Selangor, Malaysia using epidemiological factors during Covid-19 pandemic season. The ARIMA modelling was designed to predict dengue cases in Selangor during 2022. Data analysis of demographic data, level of knowledge and awareness of respondents was analyzed by using descriptive tests. The Spearman Rank-Correlation test was used to determine the relationship between weather predictors and dengue cases. Results: The findings revealed that most of the community had moderate knowledge (53.35%) and good awareness (44.07%) on dengue during Covid-19 pandemic period. Monthly mean temperature (°C) showed a moderate positive correlation while a weak positive correlation observed for mean relative humidity (%). In addition, monthly mean rainfall (mm) illustrates a weak negative correlation with dengue. According to the best fit ARIMA (3,1,0) model chosen in this study, predicted dengue cases in Selangor in May, Jun, July, August, September and October 2022 showed a decreasing trend which were 354 followed by 281, 261, 200, 165 and 87 dengue cases respectively. Conclusion: The knowledge and awareness of community and meteorological data revealed to play an important role in dengue outbreak risk. [ABSTRACT FROM AUTHOR]

Background: Sheehan syndrome is the infarction of a pituitary gland that has been physiologically enlarged as a result of postpartum bleeding. A galactorrhea and amenorrhea are classic symptoms, but a constellation ofmanifestations occurs in both the acute and chronic forms. These manifestations can remain largely non emergent unless Sheehan syndrome is complicated by severe adrenal dysfunction secondary to an inciting event such as dengue. We present a case of Sheehan syndrome that was uncovered in a patient with a dengue infection presenting as adrenal crisis. Case Report: A 45-year-old female presented with symptoms of acute gastroenteritis and severe dehydration. Her medical history was significant for secondary amenorrhea for 14 years after her last delivery followed by symptoms of endocrine dysfunction. At presentation, the patient was in adrenal crisis with hypotension, hypoglycemia, and hyperthermia. Dengue nonstructural protein 1 antigen was positive, along with signs of plasma leakage. Blood work showed bicytopenia with abnormal liver enzymes. Ultra-sonography and computed tomography of the abdomen were suggestive of serositis with a calculous cholecystitis. Magnetic resonance imaging of the brain revealed an empty sella. Anterior pituitary hormone levels were significantly decreased with low serum cortisol, and the patient's thyroid profile analysis suggested secondary hypothyroidism. The inal diagnosis was Sheehan syndrome presenting as adrenal crisis precipitated by severe dengue fever. The patient was managed conservatively and discharged on hormone supplement therapy. Conclusion: Sheehan syndrome is an important cause of panhypopituitarism in the developing world. Knowledge of Sheehan syndrome is important to help prevent its occurrence and reduce its resultant multifactorial effects. [ABSTRACT FROM AUTHOR]

The aim of this study was to evaluate the evolution of compulsory Dengue notifications in Greater Vitória, Espírito Santo, between 2018 and 2021. This is an epidemiological, observational, descriptive, longitudinal and retrospective study that evaluated the pattern of evolution of these notifications, obtained through the Notifiable Diseases Information System. The data was analyzed using descriptive statistics with tables and graphs showing absolute and relative frequencies, as well as statistical parameters for measures of central tendency, such as the mean. The evaluation showed: an 80.77% reduction in arbovirus notifications in the years of the Covid-19 pandemic (2020 and 2021); in 2021, from January to November, only 12 cases were notified. Based on the analysis carried out in this study, the underreporting of Dengue cases in Greater Vitória during the Pandemic period stands out and consequently the importance of health education for the population and health professionals regarding compulsory reporting and its relevance for the planning of Health Surveillance actions and for Public Health measures. [ABSTRACT FROM AUTHOR]

Rising temperatures are predicted to expand the range of Aedes aegypti and Aedes albopictus, potentially leading to new areas vulnerable to dengue outbreaks. The recent arrival of Aedes aegypti in Upper Egypt underscores this emerging threat, with documented outbreaks in the Red Sea Governorate (2017) serving as evidence. To address this, a cross-sectional surveillance study was conducted during the summer of 2023 in Hurghada City, Egypt, to identify established dengue vectors and their breeding sites. The presence of Aedes aegypti was confirmed, and entomological indices were calculated to assess vector distribution. Risk maps were generated to evaluate potential risks across the city. The study confirms the establishment of Aedes aegypti in Hurghada and provides valuable data for assessing future vector distribution and potential dengue outbreaks. These findings contribute to understanding how global warming and socioeconomic factors influence dengue transmission and will aid in developing effective control measures to prevent future outbreaks in Hurghada. [ABSTRACT FROM AUTHOR]

Background and Objectives: In Brazil, urban arboviruses, such as dengue virus (DENV), Zika virus (ZIKV) and chikungunya virus (CHIKV), constitute a major public health problem, and due to their endemicity and asymptomatic cases, they pose a potential threat to blood donations. Rio de Janeiro (RJ), Brazil, has been impacted by extensive DENV epidemics over the last 30 years and, after 2015, by CHIKV and ZIKV. Materials and Methods: Urban arboviruses DENV, ZIKV and CHIKV were investigated in blood donations (n = 778) at the State Institute of Hematology, HEMORIO (RJ) from 2019 to 2022 by serological and molecular methods. Results: An overall arbovirus exposure was observed in 26.1% of the blood donations. Anti‐DENV IgM was detected in 4.0% of samples and two donations were DENV NS1 positive. Positive anti‐CHIKV IgM was observed in 4.7% of the donations. Co‐detection of anti‐CHIKV IgM and anti‐DENV IgM was observed in 1.0% of donors, and CHIKV prevalence was 21.3%. All blood donations tested were negative for the DENV, ZIKV and CHIKV RNA. Conclusion: IgM seroprevalence to the arboviruses analyzed here is an indicator of recent infection in asymptomatic donors, showing that the population of blood donors can be a vehicle for new infections, especially during epidemic periods. [ABSTRACT FROM AUTHOR]

Simple Summary: Dengue fever is one of the major public health issues in tropical and subtropical regions. To prevent infection by the Dengue Virus, the World Health Organization has approved two dengue vaccines, Dengvaxia and TV003/TV005. But, unfortunately, the vaccines face challenges such as lower effectiveness and antibody-dependent enhancement (ADE). To address these concerns, we have designed a new vaccine, PSDV-2, with optimized B- and T-cell epitopes using an in silico approach. This design prioritizes high antigenicity and immunogenicity while minimizing risks such as allergenicity, toxicity, and ADE. In simulations, PSDV-2 bound strongly to immune receptors TLRs 4 and 2 and triggered a strong immune response. Although further testing is needed to confirm the effectiveness and safety of PSDV-2, our design offers a promising alternative option for dengue fever prevention, potentially contributing to an improvement in global health. Dengue virus poses a significant global health challenge, particularly in tropical and subtropical regions. Despite the urgent demand for vaccines in the control of the disease, the two approved vaccines, Dengvaxia and TV003/TV005, there are current questions regarding their effectiveness due to an increased risk of antibody-dependent enhancement (ADE) and reduced protection. These challenges have underscored the need for further development of improved vaccines for Dengue Virus. This study presents a new design using an in silico approach to generate a more effective dengue vaccine. Initially, our design process began with the collection of Dengue polyprotein sequences from 10 representative countries worldwide. And then conserved fragments of viral proteins were retrieved as the bases for epitope screening. The selection of epitopes was then carried out with criteria such as antigenicity, immunogenicity, and binding affinity with MHC molecules, while the exclusion criteria were according to their allergenicity, toxicity, and potential for antibody-dependent enhancement. We then constructed a core antigen with the selected epitopes and linked the outcomes with distinct adjuvant proteins, resulting in three candidate vaccines: PSDV-1, PSDV-2, and PSDV-3. Among these, PSDV-2 was selected for further validation due to its superior physicochemical and structural properties. Extensive simulations demonstrated that PSDV-2 exhibited strong binding to pattern recognition receptors, high stability, and robust immune induction, confirming its potential as a high-quality vaccine candidate. For its recombinant expression, a plasmid was subsequently designed. Our new vaccine design offers a promising additional option for Dengue virus protection. Further experimental validations will be conducted to confirm its protective efficacy and safety. [ABSTRACT FROM AUTHOR]

BACKGROUND: Dengue fever is rapidly becoming Malaysia's most pressing health concern, as the reported cases have nearly doubled over the past decade. Without efficacious antiviral medications, vector control remains the primary strategy for battling dengue, while the recently introduced tetravalent immunization is being evaluated. The most significant and dangerous risk increasing recently is vector-borne illnesses. These illnesses induce significant human sickness and are transmitted by blood-feeding arthropods such as fleas, parasites, and mosquitos. A thorough grasp of various factors is necessary to improve prediction accuracy and typically generate inaccurate and unstable predictions, as well as machine learning (ML) models, weather-driven mechanisms, and numerical time series. OBJECTIVE: In this research, we propose a novel method for forecasting vector-borne disease risk using Radial Basis Function Networks (RBFNs) and the Darts Game Optimizer (DGO) algorithm. METHODS: The proposed approach entails training the RBFNs with historical disease data and enhancing their parameters with the DGO algorithm. To prepare the RBFNs, we used a massive dataset of vector-borne disease incidences, climate variables, and geographical data. The DGO algorithm proficiently searches the RBFN parameter space, fine-tuning the model's architecture to increase forecast accuracy. RESULTS: RBFN-DGO provides a potential method for predicting vector-borne disease risk. This study advances predictive demonstrating in public health by shedding light on effectively controlling vector-borne diseases to protect human populations. We conducted extensive testing to evaluate the performance of the proposed method to standard optimization methods and alternative forecasting methods. CONCLUSION: According to the findings, the RBFN-DGO model beats others in terms of accuracy and robustness in predicting the likelihood of vector-borne illness occurrences. [ABSTRACT FROM AUTHOR]

Dengue illness, caused by the dengue viruses, continues to be a major global health concern, with increasing incidence and the emergence of severe manifestations such as neurological complications. An overview of the current understanding of dengue epidemiology, clinical manifestations, and research priorities is presented here. Dengue transmission has escalated in recent years, exacerbated by factors such as vector expansion, climate change, and socioeconomic challenges. The clinical spectrum of dengue ranges from mild febrile illness to severe manifestations, including hemorrhagic fever and neurological complications. Neurological manifestations of dengue, once considered rare, are now increasingly reported, encompassing encephalitis, myelitis, and Guillain–Barré Syndrome, among others. Diagnosis primarily relies on laboratory methods such as RT/PCR, NS1 antigen detection, and serological assays. Despite advancements in understanding the dengue pathogenesis, there remains a critical need for effective vaccines, antiviral drugs, improved surveillance methods, predictive models for disease severity, and long-term studies on post-Dengue sequelae. Integrated programs and holistic approaches to dengue control are essential for mitigating its impact. Addressing these research priorities will be pivotal in combating dengue and reducing its global burden. [ABSTRACT FROM AUTHOR]

The test-negative design (TND) has become a standard approach to evaluate vaccine effectiveness against the risk of acquiring infectious diseases in real-world settings, such as Influenza, Rotavirus, Dengue fever, and more recently COVID-19. In a TND study, individuals who experience symptoms and seek care are recruited and tested for the infectious disease which defines cases and controls. Despite TND's potential to reduce unobserved differences in healthcare seeking behavior (HSB) between vaccinated and unvaccinated subjects, it remains subject to various potential biases. First, residual confounding may remain due to unobserved HSB, occupation as healthcare worker, or previous infection history. Second, because selection into the TND sample is a common consequence of infection and HSB, collider stratification bias may exist when conditioning the analysis on tested samples, which further induces confounding by latent HSB. In this article, we present a novel approach to identify and estimate vaccine effectiveness in the target population by carefully leveraging a pair of negative control exposure and outcome variables to account for potential hidden bias in TND studies. We illustrate our proposed method with extensive simulations and an application to study COVID-19 vaccine effectiveness using data from the University of Michigan Health System. for this article are available online. [ABSTRACT FROM AUTHOR]

Dengue is one among the acute viral infections with the probability of fatal complications. In 2017; NVBDCP reported 157220 positive dengue cases with 250 deaths in India; 17018 cases and 5 deaths in Karnataka. Most primary infections are uneventful. The critical illness like Dengue Haemorrhagic Fever and Dengue Shock Syndrome are generally attributed to serotype cross-reactivity. Identification of secondary dengue infection in the early onset of illness is beneficial. Therefore, methods to discrepate primary and secondary dengue infection are of significant prognostic value. The current study is a hospital based prospective analytical evaluation and was aimed to discriminate secondary from primary dengue virus infection in clinically suspected dengue cases presenting with fever and thrombocytopenia. Patients of all age groups attending Krishna Rajendra Hospital on outpatient and inpatient basis with clinically suspected dengue fever of less than 5 days associated with thrombocytopenia were included in the study. The samples were tested in the VRDL of the Microbiology Department for dengue NS1 antigen and IgM antibodies, positive for both were further subjected to IgG antibodies. IgM/IgG ratio was used to differentiate primary and secondary dengue infections. Dengue infection was categorized based on WHO guidelines. A total of 17,841 samples were tested from May 2017 to December 2023; out of 17841 samples tested 2111 (60.74%) were positive for dengue NS1 and IgM. Of the 2111 dengue NS1 and IgM positive cases, 1700 (80.5%) were having secondary dengue infection, whereas 411 (19.46%) were having primary infection. Early detection of secondary infection helps the clinician in anticipating dengue related complications with appropriate therapeutic intervention, thereby reducing further complications and mortality. [ABSTRACT FROM AUTHOR]

Dengue is a highly prevalent mosquito-borne disease that is endemic in over 100 countries. It has a wider impact in terms of severity of illness and mortality risk in the absence of an effective vaccine as yet. The purpose of this study was to use meta-analysis to find out how common the dengue virus (DENV) is in India based on public data and to figure out how much of a problem. We searched, read, and reviewed about DENV in India that were available online. Forty-four cross-sectional studies were selected from the 178 records. There were reports of dengue cases in 14 out of the 28 states. Out of the patients presenting with symptoms of Dengue 27% of people were confirmed to have DENV infection with 82.29% (95% CI. 81-84%), having dengue IgM, 41.67% (95% CI: 40.16-43.43), having dengue IgG, and 23.97% (95% C.I. 14-43%), having both IgG and IgM from positive sample n=27156. Hospitalbased cross-sectional studies on suspected Dengue-like illness (DLI) found that 99.48% of people had confirmed dengue out of the patients with features of DLI, and community-based studies found that 0.52% of DLI cases had dengue. The seroprevalence rates for East, South, North, and Western regions were 35.38% (95% C.I.14-31%), 11.57% (95% C.I. 2-69%), 38.10% (95% C.I. 9-61%), and 14.87% (95% C.I. 6-38%) correspondingly. DENV is interestingly spreading across the whole country, and the disease's frequency varies a lot from place to place and from 2010-2023. However this review does not find appropriate published literature from 50% of the Indian states. The identification of IgG-class antibodies to dengue virus is indicative of prior exposure to this pathogen. Almost all immunocompetent individuals should have developed IgG antibodies against the dengue virus within three weeks of exposure. The presence of dengue virus IgM-class antibodies is indicative of an acute phase of infection. National Vector borne Disease Control Programme (NVBDCP) has some surveillance information, appropriate designed research into prevalence and risk factors for DENV infection would be required to provide adequate information for public health intervention. [ABSTRACT FROM AUTHOR]

Background: This study conducted in the departments of Oueme and Plateau aims to assess the presence of the dengue virus and its different serotypes in Aedes aegypti and Aedes albopictus, as well as the epidemic risk incurred by the populations. Methods: Collections of adult mosquitoes using human landing catches (HLC) were carried out in six communes, three (Porto-Novo, Adjarra, and Avrankou) in the Oueme department and the rest (Ifangni, Kétou, and Pobè) in the Plateau department. Pools of ten Aedes mosquitoes were formed, and stored at −80°C in RNA later. RT-PCR was used to detect dengue virus, and conventional PCR for the different serotypes. Inspection of water containers and collection of Aedes larvae was performed inside and around each house to calculate the stegomyan indices. Results: In the six communes, the dengue virus was present both in Ae. aegypti and Ae. albopictus. Combined data of the two Aedes species at the communes level revealed infection rates ranging from 80.00% (95% CI: 61.43–92.29) to 96.67% (95% CI: 82.78–99.92). In all the communes, the values of stegomyan indices reached the WHO threshold, which indicates the existence of the risk of an arbovirus epidemic. In addition, the infection rates were similar for Ae. aegypti [88.19% (95% CI: 81.27–93.24)] and Ae. albopictus [86.79% (95% CI: 74.66–94.52)]. The three virus serotypes detected in the pools of Aedes were DENV-1, DENV-3, and DENV-4, with a high prevalence for the first two. Conclusion: This study revealed that three serotypes (DENV-1, DENV-3, and DENV-4) of dengue virus circulate in Ae. aegypti and Ae. albopictus in the departments of Oueme and Plateau. Moreover, the risk of transmission of arboviruses was globally high and variable from commune to commune. This information is essential for informed decision-making in the preventive control of the disease. [ABSTRACT FROM AUTHOR]

A group of self-limiting and frequently neglected diseases exist in the literature like Rickettsial disease, Malaria, Dengue fever, Chikungunya, West Nile virus infection, Rift Valley fever, Bartonellosis, or Lyme disease which are poorly understood due to lack of proper diagnostic testing. Currently, multimodal imaging has become a critical modality in the diagnosis and management of ocular diseases. Optical coherence tomography (OCT) is one such remarkable imaging modality in the field of ophthalmology providing high-resolution, cross-sectional images of the retina and choroid with the recent advances such as enhanced depth imaging and swept source OCT. Additionally, OCT angiography (OCTA) has further revolutionised dynamic imaging of retinal and choroidal vasculature non-invasively. This review article highlights the OCT and OCTA biomarkers in the diagnosis and prognosis of the aforementioned neglected diseases. [ABSTRACT FROM AUTHOR]

Dengue, Zika, and chikungunya viruses pose a serious threat globally and circulate widely in America. These diseases share similar symptoms in their early stages, which can make early diagnosis difficult. In this study, two predictive models based on Decision Trees and Random Forests were developed to classify dengue, Zika, and chikungunya, with the aim of being supportive and easily interpretable for the medical community. To achieve this, a dataset was collected from a clinic in Sincelejo, Colombia, including the signs, symptoms, and laboratory results of these diseases. The Pan American Health Organization (PAHO) Diagnostic Guide 2022 methodology for the differential classification of dengue and chikungunya was applied by assigning evaluative weights to symptoms in the dataset. In addition, a bootstrapping resampling technique based on the central limit theorem was used to balance the target variable, and cross-validation was used to train the models. The main results were obtained with the Random Forest technique, achieving an accuracy of 99.7% for classifying chikungunya, 99.1% for dengue, and 98.8% for Zika. This study represents a significant advance in the differential prediction of these diseases through the use of automatic learning techniques and the integration of clinical and laboratory information. [ABSTRACT FROM AUTHOR]

Dengue viruses are the causative agents of dengue fever, dengue hemorrhagic fever, and dengue shock syndrome, which are mainly transmitted by Aedes aegypti and Aedes albopictus mosquitoes, and cost billions of dollars annually in patient treatment and mosquito control. Progress in understanding DENV pathogenesis and developing effective treatments has been hampered by the lack of a suitable small pathological animal model. Until now, the candidate vaccine, antibody, and drug for DENV have not been effectively evaluated. Here, we analyzed the pathogenicity of DENV‐1 in type Ⅰ and type Ⅱ interferon receptor‐deficient mice (AGB6) by intraperitoneal inoculation. Infected mice showed such neurological symptoms as opisthotonus, hunching, ataxia, and paralysis of one or both hind limbs. Viremia can be detected 3 days after infection. It was found that 6.98 × 103 PFU or higher dose induce 100% mortality. To determine the cause of lethality in mice, heart, liver, spleen, lung, kidney, intestinal, and brain tissues were collected from AGB6 mice (at an attack dose of 6.98 × 103 PFU) for RNA quantification, and it was found that the viral load in brain tissues peaked at moribund states (14 dpi) and that the viral loads in the other tissues and organs decreased over time. Significant histopathologic changes were observed in brain tissue (hippocampal region and cerebral cortex). Hematological analysis showed hemorrhage and hemoconcentration in infected mice. DENV‐1 can be isolated from the brain tissue of infected mice. Subsequently, brain tissue transcriptome sequencing was performed to assess host response characteristics in infected AGB6 mice. Transcriptional patterns in brain tissue suggest that aberrant expression of pro‐inflammatory cytokines induces antiviral responses and tissue damage. Screening of hub genes and their characterization by qPCR and ELISA, it was hypothesized that IL‐6 and IFN‐γ might be the key factors in dengue virus‐induced inflammatory response. Therefore, this study provides an opportunity to decipher certain aspects of dengue pathogenesis further and provides a new platform for drug, antibody, and vaccine testing. [ABSTRACT FROM AUTHOR]

Dengue is a disease caused by a flavivirus (DENV) and transmitted by the bite of a mosquito, primarily the Aedes aegypti and Aedes albopictus species. Previous studies have demonstrated a relationship between the host gut microbiota and the evolution of dengue. It seems to be a bidirectional relationship, in which the DENV can affect the microbiota by inducing alterations related to intestinal permeability, leading to the release of molecules from microbiota dysbiosis that can influence the evolution of dengue. The role of angiotensin II (Ang II) in the microbiota/dengue relationship is not well understood, but it is known that the renin‐angiotensin system (RAS) is present in the intestinal tract and interacts with the gut microbiota. The possible effect of Ang II on the microbiota/Ang II/dengue relationship can be summarised as follows: the presence of Ang II induced hypertension, the increase in angiotensinogen, chymase, and microRNAs during the disease, the induction of vascular dysfunction, the production of trimethylamine N‐oxide and the brain/microbiota relationship, all of which are elements present in dengue that could be part of the microbiota/Ang II/dengue interactions. These findings suggest the potential use of Ang II synthesis blockers and the use of AT1 receptor antagonists as therapeutic drugs in dengue. [ABSTRACT FROM AUTHOR]

Background The triple burden of disease, i.e. communicable diseases, non-communicable diseases and injuries, has significantly affected the healthcare system of Pakistan during the last three decades. Therefore, this study aims to determine and analyse the 30-year disease burden trends through prevalence, death rates and percentages. Methods The data for the last three decades, i.e. 1990 to 2019, was extracted from the Global Burden of Disease for Pakistan. Percentage change in prevalence and deaths over 30 years was calculated. Poisson regression analysis was performed to evaluate the triple disease burden trends and the incidence rate ratio. Results A relative decrease of 23.4% was noted in the prevalence rate of communicable diseases except for human immunodeficiency virus and dengue fever. A relative increase of 1.4% was noted in the prevalence rate of non-communicable diseases. A relative increase of 56.1% was recorded in the prevalence rate of injuries. The prevalence rate ratios of communicable diseases significantly decreased to 0.9796 [95% CI: 0.9887–0.9905], but the prevalence rate of injury increased to 1.0094 [95% CI: 1.0073–1.01145], respectively. Conclusion Pakistan must take the next steps and develop strategies to decrease this burden and mortality rates in the population to create better outcomes and therefore help the healthcare system overall. [ABSTRACT FROM AUTHOR]

Background: The dengue virus is a major health concern in Nepal, prevalent year-round across all 77 districts, with limited research on the general population’s knowledge and attitudes. Therefore, this study aimed to identify the knowledge and attitudes toward dengue fever (DF) among community residents. Methods: A cross-sectional study was conducted in Hetauda Sub-Metropolitan City, Bagmati Province, Nepal in 2023. The sample consisted of 434 household heads chosen through systematic random sampling. Data collection took place through face-to-face interviews using a structured interview guideline from March 1 to June 25. Descriptive analysis and chi-square tests were employed for categorical variables. Data analysis was performed using SPSS software, version 25, with a significance level set at P<0.05. Results: The mean age of respondents was 37.50±7.40 years. A significant proportion (77.2%) exhibited low knowledge (mean score 14.7±6.45, range: 0-24), while 93.8% displayed positive attitudes (mean score 20.5±3.71, range: 12-24). The predominant sources of information on DF were friends or neighbors (91.2%) and television (85.3%). A moderate positive correlation (r=0.429) was found between knowledge and attitude scores. Education, occupation, types of media as sources of information, and family history of dengue were identified as significant factors associated with knowledge and attitude. Conclusion: Although the majority exhibited a positive attitude, the study underscores significant gaps in knowledge, emphasizing the critical necessity for targeted public health interventions. These findings provide essential insights for crafting effective campaigns to mitigate dengue risks in Nepal. [ABSTRACT FROM AUTHOR]

To explore the effects of climate change on malaria and 20 neglected tropical diseases (NTDs), and potential effect amelioration through mitigation and adaptation, we searched for papers published from January 2010 to October 2023. We descriptively synthesised extracted data. We analysed numbers of papers meeting our inclusion criteria by country and national disease burden, healthcare access and quality index (HAQI), as well as by climate vulnerability score. From 42 693 retrieved records, 1543 full-text papers were assessed. Of 511 papers meeting the inclusion criteria, 185 studied malaria, 181 dengue and chikungunya and 53 leishmaniasis; other NTDs were relatively understudied. Mitigation was considered in 174 papers (34%) and adaption strategies in 24 (5%). Amplitude and direction of effects of climate change on malaria and NTDs are likely to vary by disease and location, be non-linear and evolve over time. Available analyses do not allow confident prediction of the overall global impact of climate change on these diseases. For dengue and chikungunya and the group of non-vector-borne NTDs, the literature privileged consideration of current low-burden countries with a high HAQI. No leishmaniasis papers considered outcomes in East Africa. Comprehensive, collaborative and standardised modelling efforts are needed to better understand how climate change will directly and indirectly affect malaria and NTDs. [ABSTRACT FROM AUTHOR]

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Dengue fever is an urban, tropical, and semi-tropical disease transmitted by Aedes aegypti and Aedes albopictus mosquitoes. One significant challenge lies in identifying reliable intra-urban indicators of their densities. Following standardized sampling protocols that adequately take into account the spatial heterogeneity of the geographical contexts which may influence mosquito habitats is therefore fundamental to compare studies and follow such relevant indicators. We develop a method for subdividing urban territory based on environmental factors which are susceptible to influence the density of potential mosquito-breeding containers. Indeed, the presence of these containers, most of which are produced by humans, is essential for the renewal of mosquito populations. Land-uses variables and their local variations are determinant in this analysis. Starting from each building and its immediate neighborhood described in terms of vegetation and open area, we computed the local landscape metrics of a million buildings in Bangkok. We then used segmentation and clustering techniques to generate homogeneous zones based on these components and physiognomy. Subsequently, a classification process was conducted to characterize these zones according to land-use and composition indicators. We applied this automatic clustering method within Bangkok's urban area. This classification built from hypotheses on the existence of links between the types of urban landscape and the presence of outdoor containers must be evaluated and will serve as a foundation for the spatial sampling of field studies for vector surveillance in Bangkok. The choice of sampling zones, even if it must be based on an administrative division due to the decentralization of health agencies in Bangkok, can then be enriched by this new, more functional division. This method, due to the genericity of the factors used, could be tested in other cities prone to dengue vectors. [ABSTRACT FROM AUTHOR]

A vector-borne disease of concern for global public health, dengue fever has been spreading its endemicity and several cases in recent years, particularly in Lahore Pakistan. Dengue transmission is influenced by geo-climatic conditions. This study aimed to map the spatial prevalence of dengue fever in Lahore and its association with geo-climatic factors during the epidemic of the year 2021. In this study, geo-climatic factors that could potentially encourage the growth of the virus are chosen for this study, and their temporal and spatial changeability relate to dengue cases. The objective of this study is to use meteorological, satellite data and Geographic Information System (GIS) techniques to map dengue outbreaks and identify the risk-prone areas by relating geo-climatic factors with dengue outbreaks. The dengue patients and their locations data were collected from the Directorate General of Health Services (DGHS) Lahore. This study uses Google Earth and Landsat-8 OLI/TIRs images to extract geo-climatic and land use parameters. The dot density maps technique was used to represent the spatiotemporal distribution of dengue cases. The hotspot analysis was applied to show the hotspots of dengue cases in district Lahore at the Union Council (UC) level. The Normalised Difference Vegetation Index (NDVI), Normalised Difference Water Index (NDWI), built-up area, population density, precipitation, and Land Surface Temperature (LST) are the factors employed. In this study, correlation was performed to test the significance between precipitation and the prevalence of dengue fever in Lahore. The results show that the incidence and prevalence of dengue fever month-wise at the UC level in Lahore. The distribution pattern of dengue outbreaks in the Lahore area and its demographic factors were found to be associated. It concludes that the increase in the spread of dengue fever is associated with the monsoon rains. The prevalence of dengue is associated with water bodies and high land surface temperature, but it does not represent any significant relation with vegetation cover and land use in Lahore during the year 2021. The study pinpointed the locations that are most susceptible and require care to prevent such outbreaks in the future. [ABSTRACT FROM AUTHOR]

Simple Summary: Several literature reviews of arboviruses in Nigeria have demonstrated a high prevalence of chikungunya and dengue antibodies in individuals with either febrile or non-febrile illness. The current study reveals a substantial burden of undetected arboviral cocirculating antibodies of these mosquito-borne diseases in the country. This underscores the importance of incorporating multiplex diagnostic testing and surveillance efforts to accurately determine the full extent of the arbovirus disease burden in Nigeria and Sub-Saharan Africa. Chikungunya and dengue are arboviral diseases transmitted by mosquitoes that have been increasingly recognized as public health concerns in Sub-Saharan Africa. Several studies conducted in Nigeria and other West African countries have revealed the seroprevalence burden and cocirculation of antibodies against mosquito-borne infections, thereby revealing a significant burden and clinical outcome complexities that have largely gone undetected. The current research study has important implications for disease surveillance, prevention strategies, and healthcare planning in Nigeria and other Sub-Saharan countries. A cross-sectional study was conducted on 871 outpatients and pregnant women from three regions of Nigeria. CHIKV and DENV immunoblot molecular diagnostic assays were used to analyze the serum samples for the presence of arboviral antibody serological markers IgG (Mikrogen Diagnostik, Germany) with DENV nonstructural protein 1 and DENV Equad and CHIKV virus-like particles (VLPs), according to the manufacturer's instructions. A total of 871 participants were recruited from three geographical regions in Nigeria. Among them, 17.5% (152/871) were from Abia (southern Nigeria), 34.4% (300/871) were from Kaduna (northern Nigeria), and 48.1% (419/871) were from Nasarawa (central Nigeria). The ages of the participants ranged from 0 months to 80 years, with a mean age of 36.6 years. Of the 871 subjects, 71.0% (619/871) were female, and 29.0% (252/871) were male. The overall cohort detectable antibody seropositivity against CHIKV was 64.9% (565/871), 95% CI (61.74–68.06); DENV, 44.7% (389/871), 95% CI (41.41–47.99); and CHIKV-DENV cocirculation antibodies, 31.6% (95% CI 29–35). This study highlighted the unpredictably high seroprevalence, expansion, magnitude, and undetected burden of chikungunya and dengue in Nigeria. [ABSTRACT FROM AUTHOR]

Dengue is a viral infection caused by the dengue virus (DENV), transmitted to humans through the bite of infected Aedes mosquitoes. About half of the world's population is now at risk of dengue, which represents a global public health concern, especially in tropical and subtropical countries. Early detection of the viral infection is crucial to manage the disease; hence, effective rapid diagnostic tests are essential. In this study, we evaluated the performance between the new Fujifilm Dengue non-structural antigen diagnosis kit (FF NS1 kit) and the SD Bioline NS1 antigen test kit (SD NS1 kit) against the quantitative real-time polymerase chain reaction (qRT-PCR) assays. The 140 acute serum samples collected from the Yangon General Hospital and Yangon Children's Hospital, Myanmar, from 2017 to 2019 were characterised by the three assays. With the qRT-PCR as the standard, the FF NS1 kit and the SD NS1 kit exhibited sensitivity of 94.3% and 88.6%, respectively, and specificity of 100% in both kits. Moreover, the positivity rates of the FF NS1 kit and the SD NS1 kit were 97.5% and 95% in primary infection and 90% and 80% in secondary infection, respectively. Our overall results suggest that the FF NS1 kit is reliable and accurate for detecting DENV infection. [ABSTRACT FROM AUTHOR]