Dengue Virus Research Articles

Computational Advancement towards the Identification of Natural Inhibitors for Dengue Virus: A Brief Review.

Viral infectious illnesses represent a severe hazard to human health due to their widespread incidence worldwide. Among these ailments, the dengue virus (DENV) infection stands out. World Health Organization (WHO) estimates that DENV infection affects ~400 million people each year, with potentially fatal symptoms showing up in 1% of the cases. In several instances, academic and pharmaceutical researchers have conducted several pilot and clinical studies on a variety of topics, including viral epidemiology, structure and function analyses, infection source and route, therapeutic targets, vaccinations, and therapeutic drugs. Amongst Takeda, TAK-003, Sanofi, Dengvaxia®, and Butantan/NIH/Merck, Dengvaxia® (CYD-TDV) is the only licensed vaccination yet; however, the potential inhibitors are under development. The biology and evolution of DENVs are briefly discussed in this review, which also compiles the most recent studies on prospective antiviral targets and antiviral candidates. In conclusion, the triumphs and failures have influenced the development of anti-DENV medications, and the findings in this review article will stimulate more investigation.

Machine-Learning Approach to Identify Potential Dengue Virus Protease Inhibitors: A Computational Perspective.

The global prevalence of dengue virus (DENV), a widespread flavivirus, has led to varied epidemiological impacts, economic burdens, and health consequences. The alarming increase in infections is exacerbated by the absence of approved antiviral agents against the DENV. Within flaviviruses, the NS3/NS2B serine protease plays a pivotal role in processing the viral polyprotein into distinct components, making it an attractive target for antiviral drug development. In this study, machine-learning (ML) techniques were employed to build predictive models for the screening of a library containing 32,000 protease inhibitors. Utilizing GNINA for structure-based virtual screening, the top potential candidates underwent a subsequent evaluation of their absorption, distribution, metabolism, excretion, and toxicity properties. Selected compounds were subjected to molecular dynamics simulations and binding free energy calculations via MM/GBSA. The results suggest that comp530 possesses binding potential to DENV protease as a noncovalent inhibitor with multiple positions for chemical substitutions, presenting opportunities for optimizing their selectivity and specificity. However, other compounds predicted via ML models may still provide a promising start for covalent inhibitors.

Exploring Potential Application of Anti-Dengue NS1 Human Polyclonal Antibodies for Detection of Dengue Virus Infection

Dengue, a vector-borne disease, affects nearly 400 million people annually. Although commercially available dengue NS1 antigen-based ELISA kits are simple and rapid, they are expensive as monoclonal antibodies are used in these tests, and also, they have short expiry dates. As an alternative, the polyclonal antibodies generated against dengue NS1 antigen from the individuals who recovered from the dengue infection (human polyclonal antibodies against dengue; HuPA-D) can be explored for the detection of NS1 antigen in the dengue virus (DENV) infected patients’ sera. In this study, blood samples were collected from the dengue-recovered patients after obtaining the IHEC approval. The anti-NS1 HuPA-D (IgG) was purified using NAb™ Spin Column kit and tested on SDS-PAGE. HuPA-D ELISA was developed to test the sensitivity and specificity of the antibodies using the recombinant NS1 antigens of dengue serotypes and flaviviruses. Further, the HuPA-D were used to detect the sera of the dengue patients. The assay was found to be sensitive to detect all the serotypes of recombinant dengue NS1 antigen and also NS1 antigen from the sera of DENV infected patients.

Clinical Relevance of Oxidative Stress Biomarkers in Human Flavivirus Infections as Predictors of Disease Progression and Severity

ABSTRACTSeveral Flaviviridae constitute an emerging threat to global health because of their continuing spread and the expansion of vector habitats, largely driven by climate change and intensified global travel. Infections can result in severe neurological or visceral pathologies. The relationship between oxidative stress (OS), an imbalance between generated reactive oxygen species and the antioxidant defences of the host, and flavivirus infection has been repeatedly demonstrated in in vitro and animal studies, but measuring biomarkers of oxidative stress in vivo could prove useful in clinical patient management. We summarise the knowledge and prospects of measuring peripheral OS biomarker levels for clinical case management and correlation with disease severity in six important human flavivirus infections (dengue virus (DENV), Japanese encephalitis virus, West Nile virus (WNV), tick‐borne encephalitis virus (TBEV), yellow fever virus and zika virus). We searched the Medline and Web of Science databases for ‘Oxidative Stress’ AND ‘Biomarkers’ AND ‘Flavivirus’, combined with ‘clinical’, ‘in vivo/in vivo’, ‘patient’ and/or ‘disease’ and included 43 peer‐reviewed publications. Correlation between OS and infection has been studied in all six Flaviviridae, but most clinically relevant data are available for DENV, TBEV and WNV. Plasma protein carbonyls, glutathione peroxidase activity and nitrogen monoxide are promising prognostic markers, but their measurement would benefit from methodological harmonisation. Future studies should investigate a broad range of OS biomarkers as predictors of clinically relevant outcomes. We advocate the validation and use of universal or disease‐specific oxidative stress indexes that incorporate the most significant outcomes into one, easy‐to‐use clinical determinant.

Genomics-based timely detection of Dengue Virus type I genotypes I and V in Uruguay

This study details a genomics-based approach for the early detection of mosquito-borne pathogens, marked by Uruguay's first ever complete genomic sequencing of Dengue Virus type I genotypes I and V. This pioneering effort has facilitated the prompt identification of these genotypes within the country, enabling Uruguayan public health authorities to develop timely and effective response strategies. Further integrated into this approach is a climate-driven suitability measure, closely associated with Dengue case reports and indicative of the local climate's role in the virus's transmission in the country within the changing climate context. The detection of multiple DENV-1 genotypes co-circulating in Uruguay underscores the necessity for proactive surveillance, particularly at borders, to prevent the introduction and dissemination of novel viral strains within the country and the region. This approach aids in facilitating prompt public health responses and intervention strategies, which are crucial in mitigating the impact of dengue outbreaks.

Deep sequencing of dengue virus genome reveals simultaneous circulation and coinfection of dengue virus in Southern Brazil 2022–2023

Deep sequencing of dengue virus genome reveals simultaneous circulation and coinfection of dengue virus in Southern Brazil 2022–2023

B cell receptor dependent enhancement of dengue virus infection.

Dengue virus (DENV) is the causative agent of dengue, a mosquito-borne disease that represents a significant and growing public health burden around the world. A unique pathophysiological feature of dengue is immune-mediated enhancement, wherein preexisting immunity elicited by a primary infection can enhance the severity of a subsequent infection by a heterologous DENV serotype. A leading mechanistic explanation for this phenomenon is antibody dependent enhancement (ADE), where sub-neutralizing concentrations of DENV-specific IgG antibodies facilitate entry of DENV into FcγR expressing cells such as monocytes, macrophages, and dendritic cells. Accordingly, this model posits that phagocytic mononuclear cells are the primary reservoir of DENV. However, analysis of samples from individuals experiencing acute DENV infection reveals that B cells are the largest reservoir of infected circulating cells, representing a disconnect in our understanding of immune-mediated DENV tropism. In this study, we demonstrate that the expression of a DENV-specific B cell receptor (BCR) renders cells highly susceptible to DENV infection, with the infection-enhancing activity of the membrane-restricted BCR correlating with the ADE potential of the IgG version of the antibody. In addition, we observed that the frequency of DENV-infectible B cells increases in previously flavivirus-naïve volunteers after a primary DENV infection. These findings suggest that BCR-dependent infection of B cells is a novel mechanism immune-mediated enhancement of DENV-infection.

Emerging mosquito-borne flaviviruses.

Flaviviruses comprise a genus of enveloped, positive-sense, single-stranded RNA viruses typically transmitted between susceptible and permissive hosts by arthropod vectors. Established flavivirus threats include dengue viruses (DENV), yellow fever virus (YFV), Zika virus (ZIKV), and West Nile virus (WNV), which continue to cause over 400 million infections annually and are significant global health and economic burdens. Additionally, numerous closely related but largely understudied viruses circulate in animals and can conceivably emerge in human populations. Previous flaviviruses that were recognized to have this potential include ZIKV and WNV, which only became extensively studied after causing major outbreaks in humans. More than 50 species exist within the flavivirus genus, which can be further classified as mosquito-borne, tick-borne, insect-specific, or with no known vector. Historically, many of these flaviviruses originated in Africa and have mainly affected tropical and subtropical regions due to the ecological niche of mosquitoes. However, climate change, as well as vector and host migration, has contributed to geographical expansion, thereby posing a potential risk to global populations. For the purposes of this minireview, we focus on the mosquito-borne subgroup and highlight viruses that cause significant pathology or lethality in at least one animal species and/or have demonstrated an ability to infect humans. We discuss current knowledge of these viruses, existing animal models to study their pathogenesis, and potential future directions. Emerging viruses discussed include Usutu virus (USUV), Wesselsbron virus (WSLV), Spondweni virus (SPOV), Ilheus virus (ILHV), Rocio virus (ROCV), Murray Valley encephalitis virus (MVEV), and Alfuy virus (ALFV).

Expression of Toll-like Receptor Genes and Antiviral Cytokines in Macrophage-like Cells in Response to Indole-3-carboxylic Acid Derivative

Ongoing outbreaks and often rapid spread of infections caused by coronaviruses, influenza, Nipah, Dengue, Marburg, monkeypox, and other viruses are a concern for health authorities in most countries. Therefore, the search for and study of new antiviral compounds are in great demand today. Since almost all viruses with pandemic potential have immunotoxic properties of various origins, particular attention is paid to the search and development of immunomodulatory drugs. We have synthesised a new compound related to indole-3-carboxylic acid derivatives (hereinafter referred to as the XXV) that has antiviral and interferon-inducing activity. The purpose of this work is to study the effect of the XXV on the stimulation of the expression of toll-like receptor genes, interferons, and immunoregulatory cytokines in a macrophage-like cell model. In this study, real-time PCR methods were used to obtain data on the transcriptional activity of genes in macrophage-like cells. Stimulation of the genes of toll-like receptors TLR2, TLR3, TLR4, TLR7, TLR8, and TLR9 was detected. A high-fold increase in stimulation (from 6.5 to 16,000) of the expression of the TLR3 and TLR4 genes was detected after 4 h of exposure to the XXV. Increased activity of interferon (IFNA1, IFNA2, IFNB1, IFNK, and IFNλ1) genes with simultaneous stimulation of the expression of interferon receptor (IFNAR1 and IFNAR2) genes and signalling molecule (JAK1 and ISG15) genes was detected. Increased fold stimulation of the expression of the cytokine genes IL6, TNFA, IL12A, and IL12B was also observed. Thus, it is shown that the XXV is an activator of TLR genes of innate immunity, which trigger signalling mechanisms of pathogen “recognition” and lead to stimulation of the expression of genes of proinflammatory cytokines and interferons.

Seroprevalence of seven arboviruses of public health importance in sub-Saharan Africa: a systematic review and meta-analysis.

The arboviruses continue to be a threat to public health and socioeconomic development in sub-Saharan Africa (SSA). Seroprevalence surveys can be used as a population surveillance strategy for arboviruses in the absence of treatment and vaccines for most arboviruses, guiding the public health interventions. The objective of this study was to analyse the seroprevalence of arboviruses in SSA through a systematic review and meta-analysis. We searched PubMed/MEDLINE, Web of Science, Embase, Scopus and ScienceDirect databases for articles published between 2000 and 2022 reporting the seroprevalence of immunoglobulin G (IgG) antibodies to seven arboviruses in various human populations residing in SSA. The included studies were assessed using the checklist for assessing the risk of bias in prevalence studies, and the data were extracted using a standard form. A random effects model was used to estimate pooled seroprevalences. The potential sources of heterogeneity were explored through subgroup analyses and meta-regression. The protocol had been previously registered on International Prospective Register of Systematic Reviews with the identifier: CRD42022377946. A total of 165 studies from 27 countries, comprising 186 332 participants, were included. Of these, 141 were low-risk and 24 were moderate-risk. The pooled IgG seroprevalence was 23.7% (17.9-30.0%) for Chikungunya virus, 22.7% (17.5-28.4%) for dengue virus, 22.6% (14.1-32.5%) for West Nile virus, 16.4% (7.1-28.5%) for yellow fever virus, 13.1% (6.4-21.7%) for Zika virus, 9.2% (6.5-12.3%) for Rift Valley fever virus and 6.0% (3.1-9.7) for Crimean-Congo haemorrhagic fever virus. Subgroup and meta-regression analyses showed that seroprevalence differed considerably between countries, study populations, specific age categories, sample sizes and laboratory methods. This SRMA provides information on the significant circulation of various arboviruses in SSA, which is essential for the adoption and planning of vaccines. These findings suggest the need to invest in surveillance and research activities on arbovirus in SSA countries to increase our understanding of their epidemiology to prevent and respond to future epidemics.

Chemotactic activity of products of Elizabethkingia anophelis derived from Aedes albopictus against RAW264 murine macrophage cell line.

Dengue viruses enter dermal macrophages which are derived from other tissues after mosquito bites. We examined chemotactic factors derived from the dengue vector mosquito, Aedes albopictus, toward a RAW264 murine macrophage cell line. We found that Elizabethkingia anophelis that was isolated from mosquitoes exhibited migration-inducing activity toward RAW264 cells. The active substances were extracted using ethyl acetate to induce chemotactic movements. Chemotactic activity was eluted in the several fractions using the reversed-phase chromatography, suggesting that multiple substances were responsible for the activity. We isolated three bacterial colonies from the wild A. albopictus mosquitoes collected in Toyama Park, Tokyo prefecture, Japan. The bacterial 16S rRNA gene sequences were the most similar to those of Lonsdalea quercina. These bacteria also exhibited migration-inducing activity toward RAW264 cells. The migration-inducing activity of mosquito bacteria might be a new aspect of mosquito-mediated viral infections.

Effects of Daily Weather on Aedes Genus (Culicidae: Diptera) Arthropod Mosquito Vectors Profusion and Dengue Epidemics Transmission: A Systematic Review

Dengue is a vector borne flavivirus usually caused by DENV1 virus, and a quantity of cases reported with DENV2, DENV3, and DENV4 viruses transmitted by Aedes aegypti and Aedes albopictus (Diptera) day biting female vector mosquitoes, belongs to Culicidae family. The symptoms of dengue were first clinically confirmed in Japan during 1943, and later, it was recorded simultaneously in the Asia, Africa, and North America during the 1980. Dengue epidemics situation was reported in the 142 countries across the world Dengue and severe dengue, (Global Strategy for dengue prevention and control, (2012–2020), 2020) and the epidemics had been changed to endemic situation in many of the countries for the past 2 decades, and the people who have been living in the epidemic countries estimated at risk about 450 million. The occurrence of dengue outbreaks and it’s extend have been reported in the tropical and sub-tropical countries across the globe largely in metropolitan, small towns, and semi-urban settlements. The climate variables viz. temperature, relative humidity, saturation deficiency, and rainfall, are fuelled for conducing environment for the vector longevity, survival and also for dengue virus incubations in mosquitoes. Temperature ranges between > 21 and < 34, and relative humidity >70% and <90% has influence on the impact of variations on the vector survival, fecundity, fertility and longevity of female Aedes aegypti and flying capacity is reduced with temperature < 10 0C, and laying egg is reduced with increase of mean temperature >35 0C. Dengue epidemics clusters are directly correlated with abundance of Aedes species mosquitoes which are controlled by the annual average precipitation 300 mm to 1200 mm. The longitudinal dengue epidemics transmissions are mainly associated with monsoon and tend to have seasonal patterns, particularly, during and after the monsoon. Climatic factors are playing important role in the increase or decrease of vector mosquitoes as well as dengue epidemics. Therefore, the present study is addressed on the echelon of daily weather and seasonal change in climate condition and its control on the incidence of dengue outbreaks.

The Low-Density Lipoprotein Receptor-Related Protein-1 Is Essential for Dengue Virus Infection

Dengue virus (DENV) causes the most prevalent and rapidly spreading arboviral disease of humans. It enters human cells by receptor-mediated endocytosis. Numerous cell-surface proteins were proposed as DENV entry factors. Among these, the phosphatidylserine receptor TIM-1 is the only one known to mediate virus internalization. However, several cellular models lacking TIM-1 are permissive to DENV infection, suggesting that other receptors exist. Here, we show that the low-density lipoprotein receptor-related protein-1 (LRP1) binds DENV virions by interacting with the DIII of the viral envelope glycoprotein. DENV infection is effectively inhibited by the purified receptor at 5 × 10−8 mol/L, and the interaction of the envelope protein with LRP1 is also blocked by a natural ligand of LRP1. The depletion of LRP1 causes 100-fold lower production of infectious virus than controls. Our results indicate that LRP1 is another DENV receptor, thus becoming an attractive target to evaluate for the development of effective antiviral drugs against DENV.

Comparison of machine learning algorithms for dengue virus (DENV) classification

Dengue, transmitted by the Aedes aegypti mosquito, necessitates accurate case classification for effective management. The research focuses on leveraging machine learning algorithms to enhance diagnosis and streamline control strategies. Utilizing a dataset from a public hospital, encompassing 21,157 cases categorized by period, outcome, gender, age, symptoms, and origin (autochthonous or imported), the study conducted a comparative analysis of Support Vector Machine, Random Forest, and Artificial Neural Network algorithms. The dataset was divided into 70% (14,809 cases) for training and 30% (6,348 cases) for testing. Results unveiled the Artificial Neural Network as the frontrunner, exhibiting an impressive 86.47% accuracy and a robust 92.91% recall in the classification of dengue-related cases. This underscores the potential of machine learning in refining dengue diagnosis and facilitating more efficient control strategies, offering a promising avenue for combating this vector-borne disease.

Dengue virus transmission during non-outbreak period in Dar Es Salaam, Tanzania: a cross-sectional survey

BackgroundTanzania has experienced multiple dengue outbreaks between 2010 and 2019, caused by various dengue virus (DENV) strains. In 2019, there were 6917 confirmed dengue cases and 13 deaths in Tanzania. Routine diagnosis of dengue fever is unfortunately excluded, particularly during non-outbreak periods, resulting in delayed outbreak detection and control. The aim of this study was to improve early detection and control measures for DENV by investigating its circulation in human and Aedes aegypti (A.aegypti) mosquitoes during the non-outbreak periods in Dar es Salaam, Tanzania, which is an area frequently affected by dengue outbreaks.MethodsFour hundred and fifteen (415) blood samples were collected from patients attending randomly selected health facilities in five wards; Azimio, Keko, Mtoni, Mbagala and Chamazi within Temeke district. The samples were tested for DENV NS1 antigen and anti-dengue IgM and IgG antibodies by rapid test. Then, 150 out of 415 blood samples were tested for the DENV by conventional Reverse Transcriptase Polymerase Chain Reaction (RT-PCR). Two thousand two hundred and fifty (2,250) adult female A.aegypti mosquitoes were collected using a Prokopack aspirator and BG sentinel trap or obtained after rearing immature stages and tested, in pools of 15 for DENV by RT-PCR. Statistical Software, SPSS version 23, was used for data analysis.ResultsOf the tested blood samples, 17% (71/415) were positive by NS1 antigen, 0.5% (2/415) by IgM, 0.5% (2/415) by IgG antibodies, and 0.5% (2/415) by IgM and IgG. None of the samples tested positive by DENV RT-PCR. Moreover, 3.3% (5/150) of tested mosquito pools had DENV by RT-PCR. Individuals aged between 21 and 40 years of age had increased risk of testing positive for DENV NS1 antigen, followed by those aged 5–20 years old, particularly those residing from Azimio ward, Keko ward, Mtoni ward and Mbagala ward, p-value ≤ 0.05.ConclusionFindings from this study revealed evidence of DENV circulation during non-outbreak periods in Dar es Salaam, Tanzania. These findings underscore the importance of including testing for dengue infection in routine differential diagnoses of febrile cases, and also frequent dengue surveillance in mosquitos. This proactive approach will help early DENV outbreak detection and control in the country.

Prospects of Carica papaya in the treatment of human viral infections: A comprehensive and a systematic review

BackgroundViruses cause various human diseases, some of which become pandemic outbreaks lack effective treatments and vaccines. This study gathered data on Carica papaya's antiviral effects against various human viruses, highlighting its potential as a natural treatment. Through in-vitro, in-vivo, and clinical study analysis, we illustrated the potential of Carica papaya in combating viral infections and its potential role in cure of common viral diseases. Methodology: Research papers on antiviral activity of Carica papaya were identified by using specific keywords in PUBMED, Google Scholar, and ScienceDirect databases. Articles published between January 2015 and March 2024 were screened for inclusion. Eligible studies utilized Carica papaya leaves (powder or juice) or fruits to investigate their effects against human viral infections. Each selected study applied either qualitative or quantitative antiviral assays to assess the efficacy of Carica papaya in combating human viruses. ResultsFifteen studies went through assessment for antiviral properties of Carica papaya, 7 (46.67 %) of them displayed significant activity against the dengue virus, while 1 study (6.67 %) demonstrated moderate/less effectiveness against dengue serotype-2. Two studies (13.33 %) found no anti-dengue effects. Additionally, Carica papaya exhibited strong antiviral activity against SARS-CoV-2 in 2 studies (13.33 %). One study (6.67 %) showed inhibition of both dengue serotype-2 and chikungunya, and 1 study (6.67 %) each demonstrated inhibitory effects against human immunodeficiency virus and Zika virus infections. ConclusionThe present study listed human diseases for which Carica papaya revealed significant antiviral effects against Dengue virus, Severe acute respiratory syndrome, Human immunodeficiency virus-I, Chikungunya virus and Zika virus suggesting its potential as a treatment candidate for all these viruses. However, the majority of the research involved in-vitro screening, with minimal in-vivo and clinical testing. Further in-vivo studies and clinical trials should be conducted to explore the potential of Carica papaya in the treatment of human viral infections.

Anti-dengue viral activity of Glycyrrhiza glabra roots in Vero cells

Despite being a global public health problem, there are no antiviral agents for dengue. Plants are the sources of most approved drugs and many phytochemicals have exhibited in vitro antiviral activity. We explored the antiviral potential of the aqueous extract of Glycyrrhiza glabra roots (GGaq) on dengue viruses. Plaque reduction antiviral assay for half maximal inhibitory concentrations (IC50) was done in Vero cells infected with dengue serotypes 1–4 and exposed to varying concentrations of GGaq. Half-maximal cytotoxic concentration (CC50) of the GGaq was 651.9 µg/mL. The IC50 of the four dengue serotypes (10–50 µg/mL) indicated moderate inhibition by GGaq. 98–100% inhibition of all dengue serotypes was seen with GGaq at the maximum nontoxic dose. Preparative thin layer chromatography of GGaq, isolated sub fractions E and F which had low to moderate antiviral activity (IC50 12.65–85.95 and IC50 13.14–69.27 respectively). They exhibited good therapeutic potential only for dengue serotype-4. Virus adsorption to cells was significantly inhibited by GG (50%) and sub fraction E (24.9%). Chloroquine diphosphate was used as the positive control in all assays. The aqueous extract of GG was non-toxic and had better antiviral activity than sub fractions E and F.

Dengue Virus Serotypes 1 and 2 Responsible for Dengue Burden in Amazonas: Epidemiological and Clinical Features.

The increase in dengue cases in Amazonas poses a public health risk. This study aimed to examine the circulating serotypes in the region of Amazonas, Peru, from 2021 to 2023, along with the associated clinical and epidemiological characteristics. Serotype identification was determined for 420 serum samples using a multiplex real-time reverse transcription-polymerase chain reaction assay, revealing that 194 patients were infected by dengue virus (DENV)-1 and 226 by DENV-2. Both serotypes co-circulated in all affected provinces. Warning signs were more frequent in patients with DENV-2 (P = 0.004), and the manifestation of abdominal pain was correlated with this serotype (P = 0.004), highlighting its association with severe forms of the disease. In conclusion, this study emphasizes the widespread circulation of DENV-1 and DENV-2 in Amazonas. Furthermore, it underscores the importance of real-time molecular surveillance that could provide an early prognosis of disease severity.

The Epidemiological Impact of Dengue in Colombia: A Systematic Review.

Dengue is the most important viral vector-borne disease in the tropics, with Colombia being one of the most affected countries. In this context, it is essential to identify and synthesize the existing evidence on the epidemiology of dengue in Colombia. A systematic review (PROSPERO CRD42021257985) was conducted by searching for epidemiological data in populations with suspected or confirmed dengue in Colombia from 2012 to 2020. We searched PubMed, EMBASE, the Cochrane Library, the LILACS, and SciELO databases, and 104 publications out of 1,234 records were selected. The dengue annual incidence rate varied through the years without a clear trend. The lowest annual incidence rate was observed in 2017 (90.7 per 100,000 population) and the highest in 2013 (476.2 per 100,000 population). The proportion of severe cases in the same period ranged between 0.89% in 2016 and 2.7% in 2012. The four dengue virus (DENV) serotypes co-circulated in the country, and DENV-2 was the predominant serotype. Fifty percent of dengue cases occurred in people under 20 years, and those between 5 and 14 years had the highest incidence rate. The mortality rate for all dengue cases ranged from 0.07% in 2020 to 0.16% in 2012 and 2015. In conclusion, dengue is a hyperendemic disease in Colombia with the circulation of four serotypes. New strategies must be implemented to prevent the contagion and impact of the disease on the population at risk.

Design and optimization of photonic crystal fibre THz bio‐sensor for extremely impressible identification of dengue

AbstractThe detection of human diseases is a major application for biosensors. During this work, a 2D photonic crystal fibre (PCF) biosensor design for dengue virus detection has been suggested. This work presents the decagonal hollow core PCF‐based dengue virus bio‐sensor and quantitatively investigates it over the terahertz regime. The suggested biosensor's performance is assessed using COMSOL Multiphysics, a professional tool that uses the Finite Element Method. The simulation's outcomes show that the suggested sensor performed better than earlier research, with a high sensitivity of 98.79%, 97.96%, 97.71%, 98.58%, 96.99% and 97.47% with more less confinement loss 1.2766 × 10−12 dB/m, 1.6385 × 10−12 dB/m, 2.8015 × 10−13 dB/m, 1.1798 × 10−13 dB/m, 7.0336 × 10−12 dB/m and 0.00 dB/m respectively for infected Haemoglobin (Hgb), Normal Haemoglobin (Hgb), Infected Platelets (Plt), Normal Platelets (Plt), Infected Plasma (Psm) and Normal Plasma (Psm) at 3.0 THz using the ideal geometric configuration. Very soon, its remarkable sensitivity and guiding capabilities will be crucial to dengue virus detection technology.