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SynthEco: Synthetic Ecosystems for Expanding Cohort Data to Full Population-Level Representation and Visualization for Decision Support: A Novel Methodology to Improve Urban Population Health

SynthEco: Synthetic Ecosystems for Expanding Cohort Data to Full Population-Level Representation and Visualization for Decision Support: A Novel Methodology to Improve Urban Population Health
SynthEco：用于将队列数据扩展至完整人口水平表示和决策支持可视化的综合生态系统：改善城市人口健康的新方法
批准号：
399930
负责人：
Dub Laurette
金额：
$7.28万
依托单位：
McGill University
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2018
资助国家：
加拿大
项目状态：
已结题
起止时间：
2018-10-01 至 2019-10-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=399930&lang=en
关键词：
Information Technology Longitudinal Cohort Datasets: Cartagene, Cptp, Canue, Epic Operalization Of Existing Datasets Policy Making Population Health Population-Level Health Interventions Statistical Extrapolation Techniques Synthetic Ecosystem Ur

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To answer questions in urban planning and population-level health interventions such as where to place services, where to target health interventions, and how to increase equity in services, planners and researchers need tools providing granular, geograph
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