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613
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ShareScore release 0.9.0
Dataset results
613 results for “Dengue”
Dengue specific immunoglobulin repertoires comparison between the repeated and epitope-decreased immunizations
GEO Series GSE154371. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Transcriptional response to dengue infection in peripheral blood mononuclear cells of Nicaraguan children
GEO Series GSE38246. Homo sapiens. 113 samples. Type: Expression profiling by array.
Genome organization of dengue and Zika viruses
GEO Series GSE106483. Zika virus; dengue virus type 2; Homo sapiens; dengue virus type 4; dengue virus type 1; dengue virus type 3. 87 samples. Type: Other.
Data from: Morbidity rate prediction of dengue hemorrhagic fever (DHF) using the support vector machine and the Aedes aegypti infection rate in similar climates and geographical areas
Background: In the past few decades, several researchers have proposed highly accurate prediction models that have typically relied on climate parameters. However, climate factors can be unreliable and can lower the effectiveness of prediction when they are applied in locations where climate factors do not differ significantly, and thus, they cannot enhance the capability of the predictive model's learning algorithm. The purpose of this study was to improve a dengue surveillance system in areas with similar climate by exploiting the infection rate in the Aedes aegypti mosquito and using the support vector machine (SVM) technique for forecasting the dengue morbidity rate. Methods and Findings: We identified the study areas in three provinces (Nakhon Pathom, Ratchaburi, and Samut Sakhon) of central Thailand that were reported to have a high incidence of dengue outbreaks. Prior to being added to the model, the infection data of the dengue vector, Aedes aegypti, the climate parameters, and the population density were collected from various sources and standardized. This process ensured that the data were not overwhelmed by each other in terms of the distance measures and to enhance the model effectiveness. The proposed framework consisted of the following three major parts: 1) data integration, 2) model construction, and 3) model evaluation. We discovered that the Aedes aegypti female and larvae mosquito infection rates were significantly positively associated with the morbidity rate. Thus, the increasing infection rate of female mosquitoes and larvae led to a higher number of dengue cases, and the prediction performance increased when those predictors were integrated into a predictive model. The support vector machine (SVM), a machine learning technique, has been receiving attention in many research areas due to its remarkable generalization performance. In this research, we applied the SVM with the radial basis function (RBF) kernel, referred to as the SVM-R, to forecast the high morbidity rate and take precautions to prevent the development of pervasive dengue epidemics. The experimental results showed that the introduced parameters significantly increased the prediction accuracy to 88.37% when used on the test set data, and these parameters led to the highest performance compared to state-of-the-art forecasting models. Conclusions: The infection rates of the Aedes aegypti female mosq uitoes and larvae improved the morbidity rate forecasting efficiency better than the climate parameters used in classical frameworks. This approach is more reliable and practical for monitoring dengue outbreaks, particularly in locations with similar climates because it does not rely on only climate factors. In addition, we demonstrated that the SVM-R-based model has high generalization performance and obtained the highest prediction performance compared to classical models as measured by the accuracy, sensitivity, specificity, and mean absolute error (MAE).
Evaluating the Safety of and Immune Response to a Dengue Vaccine (TV003) in Healthy Adults, Adolescents, and Children in Thailand
ClinicalTrials.gov study NCT02332733. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation Study of Dengue RDTs
ClinicalTrials.gov study NCT05580731. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Dengue Effectiveness Study in the Philippines
ClinicalTrials.gov study NCT03803618. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Dengue Vaccine Strategy in Children Aged 9 to 17 Years in the French Caribbean
ClinicalTrials.gov study NCT04839757. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Study of AT-752 in Healthy Subjects in a Dengue Human Challenge Model
ClinicalTrials.gov study NCT05366439. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Impact of Differential and Systematic Diagnosis of Dengue, Chikungunya and Malaria on Patient Management and Antibiotic Use in West Africa
ClinicalTrials.gov study NCT06257810. IPD Sharing: NO. Countries: 2. Publications: 0.
Studies on the Pathogen, Vector Control and Clinical Treatment of Dengue Fever in Guangzhou
ClinicalTrials.gov study NCT02608047. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Expansion of a Dengue-1 Live Virus Human Challenge
ClinicalTrials.gov study NCT03869060. IPD Sharing: NO. Countries: 1. Publications: 0.
Adaptive Dengue Antiviral Platform Trial
ClinicalTrials.gov study NCT06551844. IPD Sharing: YES. Countries: 1. Publications: 0.
A Study to Evaluate the Safety and Efficacy of AV-1 Against Dengue Virus 3 (DENV-3) Infection
ClinicalTrials.gov study NCT06799741. IPD Sharing: NO. Countries: 1. Publications: 0.
Study on the Risks of Symptomatic Dengue on Pregnancy
ClinicalTrials.gov study NCT04826081. IPD Sharing: NO. Countries: 1. Publications: 0.
Clinical Specimens Testing Program of Dengue Antigen Detection Reagents
ClinicalTrials.gov study NCT01917422. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Role of Vitamin D in Prevention of Dengue Haemorrhagic Fever and Dengue Shock Syndrome
ClinicalTrials.gov study NCT06071481. IPD Sharing: YES. Countries: 1. Publications: 0.
Prospective Study on the Risks of Dengue Fever for the Fetus.
ClinicalTrials.gov study NCT04822441. IPD Sharing: NO. Countries: 1. Publications: 0.
Dengue Controlled Human Infection Model in Dhaka, Bangladesh
ClinicalTrials.gov study NCT05229354. IPD Sharing: NO. Countries: 1. Publications: 0.
Ability of Bedside Ultrasound to Predict Progression of Severity of Disease in Dengue Fever
ClinicalTrials.gov study NCT02134652. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.