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43
datasets available to search
ShareScore release 0.9.0
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43 results for “prevalence estimation”
Data from: Using genetic tools to estimate the prevalence of non-native red deer (Cervus elaphus) in a Western European population
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Data from: Estimating infection prevalence: best practices and their theoretical underpinnings
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Data from: Use of hidden Markov capture-recapture models to estimate abundance in presence of uncertainty: application to estimating the prevalence of hybrids in animal populations
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Data from: Coverage of the 2011 Q fever vaccination campaign in the Netherlands, using retrospective population-based prevalence estimation of cardiovascular risk-conditions for chronic Q fever
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A multi-state occupancy modeling framework for robust estimation of disease prevalence in multi-tissue disease systems
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Data from: Estimating the prevalence of food risk increasing behaviours in UK kitchens
Foodborne disease poses a serious threat to public health. In the UK, half a million cases are linked to known pathogens and more than half of all outbreaks are associated with catering establishments. The UK Food Standards Agency (FSA) has initiated the UK Food Hygiene Rating Scheme in which commercial food establishments are inspected and scored with the results made public. In this study we investigate the prevalence of food risk increasing behaviours among chefs, catering students and the public. Given the incentive for respondents to misreport when asked about illegal or illicit behaviours we employed a Randomised Response Technique designed to elicit more accurate prevalence rates of such behaviours. We found 14% of the public not always hand-washing immediately after handling raw meat, poultry or fish; 32% of chefs and catering students had worked within 48 hours of suffering from diarrhoea or vomiting. 22% of the public admitted having served meat "on the turn" and 33% of chefs and catering students admitted working in kitchens where such meat was served; 12% of the public and 16% of chefs and catering students admitted having served chicken at a barbeque when not totally sure it was fully cooked. Chefs in fine-dining establishment were less likely to wash their hands after handling meat and fish and those who worked in award winning restaurants were more likely to have returned to work within 48 hours of suffering from diarrhoea and vomiting. We found no correlation between the price of a meal in an establishment, nor its Food Hygiene Rating Score, and the likelihood of any of the food malpractices occurring.
A Cross-sectional Internet Survey to Estimate Prevalence of Lower Urinary Tract Symptoms (LUTS)
ClinicalTrials.gov study NCT02618421. IPD Sharing: NO. Countries: 0. Publications: 7.
Data from: Estimating the prevalence of food risk increasing behaviours in UK kitchens
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Using influenza surveillance networks to estimate state-specific prevalence of SARS-CoV-2 in the United States
<p>This repository contains code and data required to reproduce results in our manuscript. </p>
Hepatitis C prevalence in Denmark in 2016 - an updated estimate using multiple national registers
<p>Final dataset used for capture recapture estimate of population of hepatitis C patients in Denmark as of end 2016E</p>
Data from: The prevalence of MS in the United States: a population-based estimate using health claims data
Objective: To generate a national multiple sclerosis (MS) prevalence estimate for the United States by applying a validated algorithm to multiple administrative health claims (AHC) datasets. Methods: A validated algorithm was applied to private, military, and public AHC datasets to identify adult cases of MS between 2008 and 2010. In each dataset, we determined the 3-year cumulative prevalence overall and stratified by age, sex, and census region. We applied insurance-specific and stratum-specific estimates to the 2010 US Census data and pooled the findings to calculate the 2010 prevalence of MS in the United States cumulated over 3 years. We also estimated the 2010 prevalence cumulated over 10 years using 2 models and extrapolated our estimate to 2017. Results: The estimated 2010 prevalence of MS in the US adult population cumulated over 10 years was 309.2 per 100,000 (95% confidence interval [CI] 308.1–310.1), representing 727,344 cases. During the same time period, the MS prevalence was 450.1 per 100,000 (95% CI 448.1–451.6) for women and 159.7 (95% CI 158.7–160.6) for men (female:male ratio 2.8). The estimated 2010 prevalence of MS was highest in the 55- to 64-year age group. A US north-south decreasing prevalence gradient was identified. The estimated MS prevalence is also presented for 2017. Conclusion: The estimated US national MS prevalence for 2010 is the highest reported to date and provides evidence that the north-south gradient persists. Our rigorous algorithm-based approach to estimating prevalence is efficient and has the potential to be used for other chronic neurologic conditions.
Data from: A new way to estimate neurologic disease prevalence in the United States
Objective: Considerable gaps exist in knowledge regarding the prevalence of neurologic diseases, such as multiple sclerosis (MS), in the United States. Therefore, the MS Prevalence Working Group sought to review and evaluate alternative methods for obtaining a scientifically valid estimate of national MS prevalence in the current health care era. Methods: We carried out a strengths, weaknesses, opportunities, and threats (SWOT) analysis for 3 approaches to estimate MS prevalence: population-based MS registries, national probability health surveys, and analysis of administrative health claims databases. We reviewed MS prevalence studies conducted in the United States and critically examined possible methods for estimating national MS prevalence. Results: We developed a new 4-step approach for estimating MS prevalence in the United States. First, identify administrative health claim databases covering publicly and privately insured populations in the United States. Second, develop and validate a highly accurate MS case-finding algorithm that can be standardly applied in all databases. Third, apply a case definition algorithm to estimate MS prevalence in each population. Fourth, combine MS prevalence estimates into a single estimate of US prevalence, weighted according to the number of insured persons in each health insurance segment. Conclusions: By addressing methodologic challenges and proposing a new approach for measuring the prevalence of MS in the United States, we hope that our work will benefit scientists who study neurologic and other chronic conditions for which national prevalence estimates do not exist.
Sarcopenic Obesity: Estimation of Prevalence and Identification of Clinical and Biological Determinants in a Population of Adult Obese Patients
ClinicalTrials.gov study NCT03394469. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Feasibility of Estimating the Prevalence and Management of Stage 4 CKD the Gard, France
ClinicalTrials.gov study NCT02938611. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Sarcopenic Obesity: Estimation of Prevalence and Identification of Clinical and Biological Determinants in a Cohort of Adult Obese Patients and Longitudinal Follow-up
ClinicalTrials.gov study NCT06880432. IPD Sharing: Not stated. Countries: 1. Publications: 0.
HER2 TREAT Study: Retrospective Study to Estimate the Prevalence of HER2-low in Unresectable and/or Metastatic Breast Cancer Patients Who Progress on Anti-Cancer Therapy Identified as HER2-Negative Fr
ClinicalTrials.gov study NCT06125314. IPD Sharing: YES. Countries: 4. Publications: 0.
Estimation of Osteoporosis' Prevalence in France: Pilot Study in the Department of the Alpes-Maritimes
ClinicalTrials.gov study NCT00821925. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Estimating the Prevalence of Postpartum Anxiety and Depression in the Context of the Coronavirus Disease (COVID-19) Pandemic
ClinicalTrials.gov study NCT04852757. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: The prevalence of MS in the United States: a population-based estimate using health claims data
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Data from: A new way to estimate neurologic disease prevalence in the United States
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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.