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190 results for “Population-based”
Prevalence and determinants of cardiovascular risk factors in Lesotho: a population-based survey
<p>These are pseudo-anonymised data from the ComBaCaL survey and belong to the manuscript "Prevalence and determinants of cardiovascular risk factors in Lesotho: a population-based survey" which can be found at <a href="https://doi.org/10.1093/inthealth/ihad058">https://doi.org/10.1093/inthealth/ihad058</a>. </p> <p>The data dictionary explains the critical data available in the dataset. Between November 2021 and August 2022 , 6061 participants over 18 years old were visited in their households in two districts of Lesotho. </p>
Incidences of community onset severe sepsis, Sepsis-3 sepsis, and bacteremia in Sweden – a prospective population-based study.
<p>Sepsis epidemiology study 2011-2012 Sweden</p> <p>Ljungström, Lars; Andersson, Rune; Jacobsson, Gunnar</p> <p> </p> <p>Data collected during the prospective "Sepsis Skaraborg study" performed 2011-2012 in the western region of Sweden. Adult patients admitted to the emergency department for suspicion of a community-onset sepsis were evaluated. The study was approved by the Regional Ethical Review Board of Gothenburg (376-11). The file includes data for patient characteristics, vital signs, biomarker measurements, cases of bacteremia, and patient classifications using Sepsis-2 and Sepsis-3 criteria.</p>
Comparison and Assessment of Family- and Population-based Genotype Imputation Methods in Large Pedigrees Dataset
<p>Here is the data corresponding to the paper "Comparison and Assessment of Family- and Population-based Genotype Imputation Methods in Large Pedigrees" submitted to Genome Research. The data includes the following:<br> <br> Simulated data for 1200 African and European subjects in pedigrees.<br> Lists of subjects selected by each of the 4 subject selection methods examined; Primus, GIGI-Pick, Exome-Picks, and Random selection. <br> <br> The positions of sparse markers for gl_auto for African and European data.<br> <br> The lists of GWAS SNPs for AFR and EUR. </p> <p>Please see the paper for further details of the data generation, this metadata will be updated following publication. </p>
Dataset Validation of seven type 2 diabetes mellitus risk scores in a population-based cohort. The CoLaus Study
<p>This dataset is related to "Validation of seven type 2 diabetes mellitus risk scores in a population-based cohort. The CoLaus Study".</p> <p>Vanessa Kraege*, Janko Fabecic*, Pedro Marques Vidal, Gérard Waeber and Marie Méan</p> <p>*Contributed equally; co-first authors</p>
Evaluating the role of the nuclear microenvironment in gene function by population-based modeling
<p>This repository accompanies the manuscript "<strong>Evaluating the role of the nuclear microenvironment in gene function by population-based modeling</strong>", available in <em>Nature Structural & Molecular Biology</em>.</p> <p>It contains the files for the population of 3D structures for GM12878 in 200-kb resolution generated using IGM (https://github.com/alberlab/igm) and the derived structural features. Please see README.txt for more information.</p> <p>For any inquiries please reach out to Dr. Frank Alber (falber@g.ucla.edu).</p>
Multi-location trials and population-based genotyping reveal high diversity and adaptation to breeding environments in a large collection of red clover
<p>This dataset accompanies the article with the same title made available on bioRxiv <a href="https://doi.org/10.1101/2022.12.19.520744">https://doi.org/10.1101/2022.12.19.520744</a> </p>
Population-based computational simulations elucidate mechanisms of focal arrhythmia following stem cell injection
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Nationwide real-world implementation of AI for cancer detection in population-based mammography screening (PRAIM)
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Risk factors for non-communicable diseases in Bangladesh: Findings of the population-based cross-sectional national survey 2018
<p><span><strong><span>Objectives:</span></strong> To determine the national prevalence of risk factors of non-communicable diseases (NCD) in the adult population of Bangladesh. </span></p> <p><span><strong><span>Design: The study was a </span></strong>population-based national cross-sectional study.</span></p> <p><span><strong><span>Setting:</span></strong> This study used 496 primary sampling units (PSUs) developed by the Bangladesh Bureau of Statistics. The PSUs were equally allocated to each division and urban and rural stratum within each division.</span></p> <p><span><strong><span>Participants:</span></strong> The participants were adults aged 18-69 years, who were usual residents of the households for at least six months, and stayed the night before the survey. Out of 9900 participants, 8185 (82.7%) completed STEP-1 and STEP-2, and 7208 took part in STEP-3. </span></p> <p><span><b>Primary and secondary outcome:</b> The prevalence of behavioral, physical, and biochemical risk factors of NCD. Data were weighted to generate national estimates.</span></p> <p><strong>Results: </strong>Tobacco use was significantly (p<0.05) higher in the rural (45.2%) than the urban (38.8%) population. Inadequate fruit/vegetable intake was significantly (P<0.05) higher in the urban (92.1%) than in the rural (88.9%) population. The mean salt intake per day was higher in the rural (9.0 gm) than urban (8.9 gm) population. Among all, 3.0% had no, 70.9% had 1-2, and 26.2% had ≥3 NCD risk factors. The urban population was more likely to have insufficient physical activity (AOR: 1.2, 95% CI: 1.2–1.2), obesity (AOR: 1.5, 95% CI: 1.5–1.5), hypertension (AOR: 1.3, 95% CI: 1.3–1.3), diabetes (AOR: 1.6, 95% CI: 1.6–1.6), and hyperglycemia (AOR: 1.1, 95% CI: 1.1–1.1).</p> <p><strong>Conclusions: </strong>Considering the high prevalence of the behavioral, physical, and biochemical risk factors, diverse population and high-risk group targeted interventions are essential to combat the rising burden of NCDs. </p>
Population-based age-stratified seroepidemiological investigation protocol for coronavirus 2019 (COVID-19) infection in the Federation of Bosnia and Herzegovina
<p>Results of population-based age stratified seroepidemiological investigation in the Federation of Bosnia and Herzegovina</p>
Population-based, Age- and Gender- Stratified Sero-Survey Study for SARS-CoV-2 in Uganda
<p>Results of population-based age stratified seroepidemiological investigation in Uganda</p>
Data from: Versatile MRI Acquisition and Processing Protocol for Population-Based Neuroimaging
<p>This data repository contains an example of the acquired MRI sequences and the output of the post-processing pipelines in the Rhineland Study. An overview and information about the MRI sequences and post-processing pipelines can be found in our work 'Versatile MRI Acquisition and Processing Protocol for Population-Based Neuroimaging.' (under-submission)</p>
Intelligence in offspring born to women exposed to intimate partner violence: a population-based cohort study
<p>Extended data pertaining to the manuscript:</p> <p>"Intelligence in offspring born to women exposed to intimate partner violence: a population-based cohort study"</p> <p> </p> <p> </p> <p> </p>
FRB Mock Catalog and Reproduction Package for "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin"
<h3>Quickstart: FRB Mock Catalog</h3> <p>A simulated 1-day catalog of one-off FRBs, that allows users to access the FRB population without installing the entire frbpoppy package. Download and unzip 1_Day_FRB_Sky_on_Earth.txt.zip (175 MB). This human and machine readable file contains 3.5E6 FRBs that are brighter than 0.01 Jy ms, the best limit in one-off FRB detection currently. The simulated catalog is produced by the perfect telescope in frbpoppy, free of selection effects, that observed 4pi of sky for 24 hrs, with minimum detectable fluence 0.01 Jy ms, for the best-fit no-delay SFR model. This file can be read using the accompanying jupyter notebook "starting_with_mock_catalog.ipynb".</p> <p>If you use this, please cite Wang & van Leeuwen 2024 (A&A), <a href="https://doi.org/10.1051/0004-6361/202450673">https://doi.org/10.1051/0004-6361/202450673</a></p> <h3>Reproduction package for the paper "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin"</h3> <p>ReproductionPackage.zip is a basic reproduction package for the paper "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin" by Wang & van Leeuwen (2024).</p> <p> * arXiv: [<a href="https://arxiv.org/abs/2405.06281">2405.06281</a>] <br> * DOI: [<a href="https://doi.org/10.1051/0004-6361/202450673">10.1051/0004-6361/202450673</a>] </p> <h3>Installation</h3> <p>First pull or download and `frbpoppy` from <https://github.com/TRASAL/frbpoppy>.<br>Then download `ReproductionPackage.zip` and extract it starting in the frbpoppy/ base directory.<br>The scripts to produce the Figures are found in folder `frbpoppy/tests/markov_chain_monte_carlo/`.<br>The data used for these Figures resides in folder `frbpoppy/data/populations/mcmc/`.</p> <h3>Software</h3> <p>The methods and software packages used to produce the results are listed in the paper (including links to the relevant publications and/or packages):<br> FRBPOPPY: <https://github.com/TRASAL/frbpoppy><br> TRASAL: <https://github.com/TRASAL></p> <h3>Raw Data</h3> <p>The data are publicly available at<br> https://www.wis-tns.org/</p> <p> </p>
Prevalence and Factors Associated with the Use of Traditional Medicine in Individuals with Hypercholesterolemia, Hyperglycaemia, and Arterial Hypertension in Ecuador: Results from a Population-based Study in Two Health Districts
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Data from: Population-based screening for hepatitis C antibodies and active infection using a point-of-care test in a low prevalence area
<p><span><span><span><span><span><span><span><span><span><span><span><b>Background.</b> Data on the true prevalence of hepatitis C virus (HCV) infection in the </span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>general population is essential to health policies. We evaluated a program implementing free universal HCV screening using a non-invasive point-of-care test (POCT) (OraQuick-HCV rapid test) in oral fluid in an urban area in Valencia, South-Eastern Spain. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Methods.</b> A cross-sectional study was performed during 2015-2017. Free HCV screening was offered by regular mail to 11,500 individuals aged 18 and over, randomly selected from all census residents in the Health Department. All responding participants filled in a questionnaire about HCV infection risk factors and were tested in their tertiary Hospital. In those with a positive POCT, results were confirmed by enzyme-immunoassay and HCV-RNA.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Results.</b> 1,206 persons agreed to participate (response rate: 11.16%). HCV antibodies were detected in 19 (1.60%) cases (age-sex standardized rate: 1.31%; 95%CI: 0.82-2.07), but only 8 showed positive HCV-RNA (age-sex standardized rate: 0.56%; 95%CI: 0.28-1.14). The majority (89%) of the cases were born before 1965 and 74% had at least one known risk factor for HCV infection. All anti-HCV positive individuals were already aware of their infection, and no undiagnosed cases were detected. The performance of the POCT was excellent for detecting active infection. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Conclusions.</b> These preliminary data suggest that HCV population screening with a POCT is feasible but, in our setting, mailing recruiting is not effective (11% response rate). The low prevalence of HCV antibodies and active infection in the participant population (with no new diagnoses made) suggests that, in our setting, underdiagnosis may be uncommon.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Files uploaded include the study database (Stata v.13) and the do.file of the study.</b></span></span></span></span></span></span></span></span></span></span></span></p>
Raw data for the article: A commentary on "Simultaneous versus staged resection for synchronous colorectal liver metastases: A population-based cohort study". Importance of avoiding any other additional risk in selected patients with synchronous colorectal liver metastases
<p>We read with great interest the article of Dr. Bogach and Colleagues, in which they have evaluated trends of resection for synchronous colorectal cancer liver metastases (CRLM) and associated patient outcomes with a retrospective cohort study from 2006 to 2015 in the province of Ontario, Canada.</p>
Simulated population time series used to build and test a model of accuracy for population-based global biodiversity indicators
<p class="MsoNormal">Global biodiversity is facing a crisis, which must be solved through effective policies and on-the-ground conservation. But governments, NGOs, and scientists need reliable indicators to guide research, conservation actions, and policy decisions. Developing reliable indicators is challenging because the data underlying those tools is incomplete and biased. For example, the Living Planet Index tracks the changing status of global vertebrate biodiversity, but taxonomic, geographic and temporal gaps and biases are present in the aggregated data used to calculate trends. But without a basis for real-world comparison, there is no way to directly assess an indicator's accuracy or reliability. Instead, a modelling approach can be used.</p> <p class="MsoNormal">We developed a model of trend reliability, using simulated datasets as stand-ins for the "real world", degraded samples as stand-ins for indicator datasets (e.g. the Living Planet Database), and a distance measure to quantify reliability by comparing sampled to unsampled trends. The model revealed that the proportion of species represented in the database is not always indicative of trend reliability. Important factors are the number and length of time series, as well as their mean growth rates and variance in their growth rates, both within and between time series. We found that many trends in the Living Planet Index need more data to be considered reliable, particularly trends across the global south. In general, bird trends are the most reliable, while reptile and amphibian trends are most in need of additional data. We simulated three different solutions for reducing data deficiency, and found that collating existing data (where available) is the most efficient way to improve trend reliability, and that revisiting previously-studied populations is a quick and efficient way to improve trend reliability until new long-term studies can be completed and made available.</p>
Data from: Novel methods to define invasive procedures at the end-of-life were developed to improve quality of end of life care research: A population-based cohort study in colorectal cancer
<p><strong>Background</strong></p> <p>Understanding the use of invasive procedures (IPs) at the end-of-life (EoL) is important to avoid under- and overtreatment, but epidemiologic analysis is hampered by limited methods to define treatment intent and EoL phase. This study applied novel methods to report IPs at the EoL using a colorectal cancer (CRC) case study.</p> <p><strong>Methods</strong></p> <p>An English population-based cohort of adult patients diagnosed between 2013 and 2015 was used with follow-up to 2018. Procedure intent (curative, non-curative, diagnostic) by cancer site and stage at diagnosis was classified by two surgeons independently. Joinpoint regression modelled weekly rates of IPs for 36 sub-cohorts of patients with incremental survival of 0-36 months. EoL phase was defined by a significant IP rate change before death. Zero-inflated Poisson regression explored associations between IP rates and clinical/sociodemographic variables.</p> <p><strong>Results</strong></p> <p>Of 87,731 patients included, 41,972 (48%) died. 9,492 procedures were classified by intent (interrater agreement 99.8%). Patients received 502,895 IPs (1.39 and 3.36 per person year for survivors and decedents). Joinpoint regression identified significant increases in IPs four weeks before death in those living 3-6 months, and eight weeks before death in those living 7–36 months from diagnosis. 7,908 (18.8%) patients underwent IPs at the EoL, with stoma formation the most common major procedure. Younger age, early-stage disease, men, lower comorbidity, those receiving chemotherapy and living longer from diagnosis were associated with IPs.</p> <p><strong>Conclusions</strong></p> <p>Methods to identify and classify IPs at the EoL were developed and tested within a CRC population. This approach can be now extended and validated to identify potential under- and overtreatment. </p>
Prognostic Impact of Increased Lymph Node Yield in Colorectal Cancer Patients With Synchronous Distant Metastasis: a Population-based Study of the US Database and a Chinese Registry
ClinicalTrials.gov study NCT05550701. IPD Sharing: NO. Countries: 1. Publications: 3.
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.