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Dataset results
32 results for “Health policy”
FULFILL dataset - diet policy acceptability - health information provision France
<p>This dataset represents survey data on sufficiency-oriented policy acceptability in regard to dietary consumption. The study was part of the second round surveys in France in 2023 within the FULFILL project - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes.</p> <p>As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from three countries: France, Italy, and Latvia, with representative sampling (age, income, gender, current region). In this survey on the acceptability of sufficiency-oriented diet policies we recruited a representative sample with approximately 800 participants from France, taking into account primarily the individual perspective, added by some questions on the household level.</p> <p>The central part of the survey includes the randomised provision of information on the health-risks associated with meat consumption. We were interested in peoples' acceptability on three majorly discussed and sufficiency-relevant policies, i.e. meat tax, carbon label or meat-free day at public canteens. We investigated if the information provision impacted people's acceptability (overall, self vs. others perspective). We measured several control variables (socio-economics such as age, gender, income, education, household size, life stage, ideological measures such as political orientation or attitudinal measures such as sufficiency orientation and climate change denial). A quantitative assessment of the carbon footprint in the food consumption domain was also included.</p>
FULFILL dataset - diet policy acceptability - health information provision Latvia
<p>This dataset represents survey data on sufficiency-oriented policy acceptability in regard to dietary consumption. The study was part of the second round surveys in Latvia in 2023 within the FULFILL project - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes.</p> <p>As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from two countries: France, Italy, and Latvia, with representative sampling (age, income, gender, current region). In this survey on the acceptability of sufficiency-oriented diet policies we recruited a representative sample with approximately 500 participants from Latvia, taking into account primarily the individual perspective, added by some questions on the household level.</p> <p>The central part of the survey includes the randomised provision of information on the health-risks associated with meat consumption. We were interested in peoples' acceptability on three majorly discussed and sufficiency-relevant policies, i.e. meat tax, carbon label or meat-free day at public canteens. We investigated if the information provision impacted people's acceptability (overall, self vs. others perspective). We measured several control variables (socio-economics such as age, gender, income, education, household size, life stage, ideological measures such as political orientation or attitudinal measures such as sufficiency orientation and climate change denial). A quantitative assessment of the carbon footprint in the food consumption domain was also included.</p>
FULFILL dataset - diet policy acceptability - health information provision Italy
<p>This dataset represents survey data on sufficiency-oriented policy acceptability in regard to dietary consumption. The study was part of the second round surveys in Italy in 2023 within the FULFILL project - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes.</p> <p>As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from three countries: France, Italy, and Latvia, with representative sampling (age, income, gender, current region). In this survey on the acceptability of sufficiency-oriented diet policies we recruited a representative sample with approximately 800 participants from each country, taking into account primarily the individual perspective, added by some questions on the household level.</p> <p>The central part of the survey includes the randomised provision of information on the health-risks associated with meat consumption. We were interested in peoples' acceptability on three majorly discussed and sufficiency-relevant policies, i.e. meat tax, carbon label or meat-free day at public canteens. We investigated if the information provision impacted people's acceptability (overall, self vs. others perspective). We measured several control variables (socio-economics such as age, gender, income, education, household size, life stage, ideological measures such as political orientation or attitudinal measures such as sufficiency orientation and climate change denial). A quantitative assessment of the carbon footprint in the food consumption domain was also included.</p>
Brazilian Federal legislations and Health Professional Councils regulations about telemedicine, according to historical phases and public policy purposes from 1990 to 2018.
<p>The file contains one excel file with two datasheets, one with legislations from Brazilian Federal Government and other from Health Professional Councils, from 1990 to 2019. Each spreadsheet has the original database, the number ID of the normative, what institution the document is from, its publication date, the abstract (in Portuguese), its public URL, historical phases and the purpose of it.</p>
One Health EJP 4th Dissemination Workshop: Communication, education and training, and science to policy translation. Lessons learnt and legacy of the One Health EJP
<p>The Dissemination Workshops inform on One Health EJP solutions created in response to stakeholder needs, fostering the link between stakeholders and the consortium. Previous Dissemination Workshops targeted policy and decision makers at the national, European, and international level (reports available <a href="https://onehealthejp.eu/outcomes/science-to-policy-translation/reports">here</a>). This workshop instead is dedicated to all those who would like to set up One Health initiatives, encouraging them to learn from the experience of the One Health EJP.</p> <p>The 4th virtual One Health EJP Dissemination Workshop focuses on the interaction with stakeholders to translate science into policy, the impact of the education and training activities, and strategies used for effective dissemination of One Health solutions. Online presentations are given by the members of the One Health EJP <a href="https://onehealthejp.eu/outcomes/science-to-policy-translation/reports">Science to Policy Translation</a> (WP5), <a href="https://onehealthejp.eu/community/education-and-training">Education and Training</a> (WP6), and Communications Teams.</p> <p>Through this workshop, One Health EJP consortium members provide examples of successful strategies and lessons learnt, with the objective of inspiring all those working in this field or setting up new One Health initiatives and increasing the impact of One Health activities in Europe. This is an important legacy of the One Health EJP.</p> <p>Sessions include:</p> <ol> <li> Welcome and introduction.</li> <li> Education and training: Training a new generation of One Health scientists.</li> <li> Communication and dissemination: How to reach One Health audiences.</li> <li> Interactions with stakeholders: targeted dissemination, support, and advocacy. The example of the One Health EJP.</li> <li> Final round table discussion.</li> </ol> <p>Full details on the briefing agenda.</p>
Effect of the free healthcare policy on the health services' utilisation by children under five years in Burkina Faso
<p class="MsoNormal"><strong><span>Objectives:</span></strong><span> This study aimed to analyse</span><span>, </span><span>at </span><span>national level, </span><span>the effects of the free healthcare policy for children on the use of health services by children under five in Burkina Faso. We hypothesized that this policy has led to an immediate and sustained increase in the use of health services for these children in the country. </span></p> <p class="MsoNormal"><strong><span>Setting:</span></strong><span> We conducted a controlled interrupted time series. Monthly data at district level, spanning from January 2013 to December 2018 and corresponding to 72 monthly data points (39 before and 33 after), were extracted from the Burkina Faso National Health Information System. The analysed dataset included data from all the 70 health districts of the country.</span></p> <p class="MsoNormal"><strong><span>Participants: </span></strong><span>The study consisted of aggregated data from children under five as the target for the policy with children aged between 5-14 years old as control group. </span></p> <p class="MsoNormal"><strong><span>Intervention: </span></strong><span>The intervention was the introduction of the free healthcare policy for women and children under five years from April 2016. </span></p> <p class="MsoNormal"><strong><span>Outcome: </span></strong><span>The primary outcome was the mean monthly rate of health services visits by children </span></p> <p class="MsoNormal"><strong><span>Results: </span></strong><span>Among the children under five,<strong> </strong><span>the rate of visits increased of 57% (IRR= 1.57; 95% CI=</span>1.2 to 2.0<span>) in the month immediately following the launching of the free healthcare policy. An increase in the rate of health facility visits of 1% </span></span><span>(IRR=1.01; 95% CI=</span><span>1.0 to 1.1) <span>per month was also noted during post-intervention. Compared to the control group, we observed an </span></span><span>increase of the rate of visits of 2.5% (IRR=1.025; 95%CI= 1.023 to 1.026) per month. </span></p> <p class="MsoNormal"><strong><span>Conclusion: </span></strong><span>Findings suggest that the</span><strong><span> </span></strong><span>free healthcare policy increased the use of health facilities for care in Burkina Faso immediately after the implementation of the policy with a small increase in the rate overtime. Strategies to maintain the policy effect over time are necessary. </span></p>
Assessing the Impact of Supply-Side Policies on Oil Extraction, Health, and Employment in California
<p>California's ambitious goal to slash GHG emissions by 90% by 2045 marks a significant shift towards sustainability. Supply-side policies, such as Senate Bill 1137, which bans new oil and gas wells within 3,200 feet of sensitive areas, signal a commitment to environmental and public health protection. To gauge SB 1137's impact accurately, the existing model must be adapted to incorporate this setback distance. This capstone project aims to bridge this gap by updating the model and creating accessible educational materials for Californians. Objectives include updating the model, predicting well locations and oil extraction using machine learning, and developing a public online app with R Shiny. The MEDS capstone group will investigate the effects of the 3,200-foot setback distance on emissions, employment, and health, contributing to the evidence supporting SB 1137.</p>
Fully synthetic longitudinal real-world data from hearing aid wearers for public health policy modeling
<p>Real-world data from hearing aids and Bluetooth connected smartphones. The associated data report can be found here: <a href="https://doi.org/10.3389/fnins.2019.00850">https://doi.org/10.3389/fnins.2019.00850</a></p>
Assessing the impact of supply-side policies on oil extraction, health, and employment in California
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Task sharing for point-of-care testing: Review of national health policies and implementation landscape in 19 African countries
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Effect of the free healthcare policy on the health services' utilisation by children under five years in Burkina Faso
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Brazilian municipal health policies during the COVID-19 pandemic
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Economic and financial barriers to delivering mental health services in Georgia: Informing policy and acting on evidence
<p>Dataset includes qualitative data for the manuscript entitled "Economic and financial barriers to delivering mental health services in Georgia: Informing policy and acting on evidence".</p>
Replication package for: "Vaccination Policy, Delayed Care, and Health Expenditures"
<p>This file contains the replication package for the paper "Vaccination Policy, Delayed Care, and Health Expenditures" by Erkmen G. Aslim, Wei Fu, Chia-Lun Liu, and Erdal Tekin.</p>
Strengthened PM2.5 air quality improvement and health benefits by synergies of carbon peak, carbon neutrality, and clean air policies in China
<p>Dataset and code used in this research: (1) emission, major air pollutants (i.e., SO2, NOx, PM25, NMVOCs, NH3), and CO2 emissions during 2020-2060 under the scenario ensembles (i.e., reference, clean air, on-time peak-clean air, on-time peak-net zero-clean air, early peak-net zero-clean air). (2) PM2.5 exposure (NetCDF, 0.1×0.1), future PM2.5 concentrations (2025, 2030, 2035, 2040, 2045, 2050, 2055, 2060) under the scenario ensembles, re-gridded from the corresponding CMAQ simulations. (3) population, future population grid under the SSP1 scenario, re-gridded from SSP Datasets (<a href="http://clima-dods.ictp.it/Users/fcolon_g/ISI-MIP/">http://clima</a><a href="http://clima-dods.ictp.it/Users/fcolon_g/ISI-MIP/">-</a><a href="http://clima-dods.ictp.it/Users/fcolon_g/ISI-MIP/">dods.ictp.it/Users/fcolon_g/ISI</a><a href="http://clima-dods.ictp.it/Users/fcolon_g/ISI-MIP/">-</a><a href="http://clima-dods.ictp.it/Users/fcolon_g/ISI-MIP/">MIP/</a>). (4) death, PM2.5-related premature deaths (2025, 2030, 2035, 2040, 2045, 2050, 2055, 2060) under the scenario ensembles. (5) code for premature death calculation, with the method of GBD2019. (6) code for re-grid PM2.5 concentrations from CMAQ output.</p>
Evaluating the Health Benefits of Workplace Policies and Practices - Phase II
ClinicalTrials.gov study NCT02050204. IPD Sharing: Not stated. Countries: 1. Publications: 25.
Study to Evaluate the Health and Wellness Policies of the New Haven Public School District.
ClinicalTrials.gov study NCT02043626. IPD Sharing: Not stated. Countries: 1. Publications: 16.
Philippine Child Health and Policy Experiment
ClinicalTrials.gov study NCT00678197. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Big Data Supporting Public Health Hearing Policies
ClinicalTrials.gov study NCT03316287. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Code and data used in "Health co-benefits of sub-national renewable energy policy in the US"
<p>Archive of modeling, inputs, and results.</p>
ScienceDex guides
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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.