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Towards a data-driven community needs appraisal to identify and address health inequalities in existing and future neighbourhoods

Towards a data-driven community needs appraisal to identify and address health inequalities in existing and future neighbourhoods
建立数据驱动的社区需要进行评估，以识别和解决现有和未来社区的健康不平等问题
批准号：
54962
负责人：
金额：
$7.97万
依托单位：
PLACECHANGERS LTD
依托单位国家：
英国
项目类别：
Feasibility Studies
财政年份：
2020
资助国家：
英国
项目状态：
已结题
起止时间：
2020 至 --
来源：
https://gtr.ukri.org/projects?ref=54962
关键词：
Towardsdatadrivencommunityneeds

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中文摘要
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英文摘要
The COVID-19 crisis highlighted that access to sufficient green spaces and communal facilities in the neighbourhood is essential in promoting public health and individual wellbeing. This project creates an online needs appraisal toolkit that helps assess and discuss the health merits of urban spaces underpinned by metrics for public health impacts and helps to advocate the needs of local communities in new master plans.Further "Extension for Impacts" funding will be used to exploit the impacts of the project. The key commercial objective for this extension is market readiness by working towards TR6/7 (validation in operational context).
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复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号：
    72101261
  • 项目类别：
    青年科学基金项目（C类）
  • 资助金额：
    30.0万元
  • 批准年份：
    2021
  • 负责人：
    孙韬
  • 依托单位：
    中国人民大学
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号：
    --
  • 项目类别：
    --
  • 资助金额：
    40万元
  • 批准年份：
    2020
  • 负责人：
    Vikrant Gupta
  • 依托单位：
    南方科技大学