Climate & Health Actionable Research and Translation Center

气候

基本信息

  • 批准号:
    10835460
  • 负责人:
  • 金额:
    $ 385.49万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-26 至 2026-08-31
  • 项目状态:
    未结题

项目摘要

CHART: OVERALL - PROJECT SUMMARY According to the United Nations, 87% of the U.S. population and 68% of the world population are projected to live in cities by 2050, and climate change will have significant impacts on the health and wellbeing of urban populations especially in under-resourced communities through various pathways. For example, the spatial variation in ambient temperature has been shown to result in heat exposure disparities associated with low- income minority communities. The Emory Climate & Health Actionable Research and Translation (CHART) Center aims to become a hub that will advance and translate research on climate risks to protect the health of under-resourced urban populations. Atlanta, with its unique environmental and health challenges, historical legacy, and longstanding partnerships with community and academic stakeholders, is an ideal location for CHART's central research theme of lowering climate-related disease burdens in under-resourced urban communities. CHART's mission is to generate new knowledge about the health risks associated with climate change in urban areas, particularly those related to heat exposure, and to translate this knowledge into action through equitable partnerships that enhance health. The center has four aims: (1) to develop resources to support CCH research and connect with NIH's CCH Community of Practice; (2) to conduct action-oriented and transdisciplinary CCH research towards the design of future interventions and policy; (3) to leverage the CHART translational research framework to sustain and enrich relationships with community partners; and (4) to advance the growth of CCH research through training and mentorship. By providing infrastructural support, conducting novel research, increasing research capacity, strengthening established community partnerships, and serving as a hub for identifying innovative approaches to address climate change-induced health risks such as heat exposure, CHART will foster mutually beneficial partnership and collaboration with community stakeholders while also attracting talented researchers to sustain and expand the CCH Community of Practice. Ultimately, these efforts will lead to tangible improvements in the health outcomes of under-resourced urban communities in Atlanta, and the center building experience will benefit other cities nationally and worldwide in their pursuit of mitigating the health impact of climate change.
图表:总体-项目摘要 根据联合国的数据,87%的美国人口和68%的世界人口预计将 气候变化将对城市居民的健康和福祉产生重大影响, 通过各种途径,为人口,特别是资源不足社区的人口提供援助。例如,空间 环境温度的变化已经显示出导致与低- 少数民族社区。埃默里气候与健康可行动研究和翻译(图表) 中心的目标是成为一个中心,将推进和转化对气候风险的研究,以保护健康的 资源不足的城市人口。亚特兰大具有独特的环境和健康挑战, 遗产,以及与社区和学术利益相关者的长期合作伙伴关系,是一个理想的位置, CHART的中心研究主题是降低资源不足的城市中与气候相关的疾病负担 社区. CHART的使命是产生与气候相关的健康风险的新知识 改变城市地区,特别是与热暴露有关的地区,并将这些知识转化为行动 通过平等的伙伴关系,增进健康。该中心有四个目标:(1)开发资源, 支持CCH研究并与NIH的CCH实践社区联系;(2)开展面向行动的, 跨学科的卫生协调委员会研究,以设计未来的干预措施和政策;(3)利用 CHART转化研究框架,以维持和丰富与社区合作伙伴的关系;以及(4) 通过培训和指导促进CCH研究的发展。通过提供基础设施支持, 开展新的研究,提高研究能力,加强已建立的社区伙伴关系, 并作为确定应对气候变化引起的健康风险的创新方法的中心 如高温暴露,CHART将促进与社区互利伙伴关系和合作 卫生协调委员会的工作不仅是对利益相关者的一种鼓励,同时也吸引了有才华的研究人员来维持和扩大卫生协调委员会的实践社区。 最终,这些努力将导致资源不足的城市居民的健康状况得到切实改善。 亚特兰大的社区,中心建设的经验将使全国和世界各地的其他城市受益, 他们对减轻气候变化对健康影响的追求。

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Yang Liu其他文献

Formal Verification of Process Layer with Petri nets and Z
使用 Petri 网和 Z 对过程层进行形式化验证
An efficient p-ECR move based on maximum likelihood by neighbor joining
基于邻居加入最大似然的高效 p-ECR 移动
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    3
  • 作者:
    Yang Liu;Jian-Fu Li;Mao-Zu Guo,
  • 通讯作者:
    Mao-Zu Guo,
Secure multi-label data classification in cloud by additionally homomorphic encryption
通过额外的同态加密在云中保护多标签数据分类
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yi Liu Yu Luo;Youwen Zhu;Yang Liu;Xingxin Li
  • 通讯作者:
    Xingxin Li
Requirement Verification of Networked Software Goals with Multi-valued Logic
具有多值逻辑的网络化软件目标的需求验证

Yang Liu的其他文献

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{{ truncateString('Yang Liu', 18)}}的其他基金

Spatially resolved multiomics profiling of microbes and their host tissue
微生物及其宿主组织的空间分辨多组学分析
  • 批准号:
    10713736
  • 财政年份:
    2023
  • 资助金额:
    $ 385.49万
  • 项目类别:
Mapping the Cellular Responses to DNA Double-Strand Breaks Using On-Demand CRISPR technologies and High-resolution Fluorescence Microscopy
使用按需 CRISPR 技术和高分辨率荧光显微镜绘制细胞对 DNA 双链断裂的反应
  • 批准号:
    10715720
  • 财政年份:
    2023
  • 资助金额:
    $ 385.49万
  • 项目类别:
Climate & Health Actionable Research and Translation Center
气候
  • 批准号:
    10835461
  • 财政年份:
    2023
  • 资助金额:
    $ 385.49万
  • 项目类别:
Super-Resolution Imaging of Higher-Order Heterochromatin Structure for Early Detection of Lung Carcinogenesis
高阶异染色质结构的超分辨率成像用于早期检测肺癌
  • 批准号:
    10435645
  • 财政年份:
    2022
  • 资助金额:
    $ 385.49万
  • 项目类别:
Imaging nanoscale chromatin folding in early carcinogenesis
早期致癌过程中纳米级染色质折叠的成像
  • 批准号:
    10398183
  • 财政年份:
    2020
  • 资助金额:
    $ 385.49万
  • 项目类别:
Imaging nanoscale chromatin folding in early carcinogenesis
早期致癌过程中纳米级染色质折叠的成像
  • 批准号:
    10605199
  • 财政年份:
    2020
  • 资助金额:
    $ 385.49万
  • 项目类别:
Imaging nanoscale chromatin folding in early carcinogenesis
早期致癌过程中纳米级染色质折叠的成像
  • 批准号:
    10223251
  • 财政年份:
    2020
  • 资助金额:
    $ 385.49万
  • 项目类别:
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk
基于三维纳米级核结构映射的前体病变分类法用于预测结直肠癌风险
  • 批准号:
    9756510
  • 财政年份:
    2019
  • 资助金额:
    $ 385.49万
  • 项目类别:
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk
基于三维纳米级核结构映射的前体病变分类法用于预测结直肠癌风险
  • 批准号:
    10590702
  • 财政年份:
    2019
  • 资助金额:
    $ 385.49万
  • 项目类别:
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk
基于三维纳米级核结构映射的前体病变分类法用于预测结直肠癌风险
  • 批准号:
    10373010
  • 财政年份:
    2019
  • 资助金额:
    $ 385.49万
  • 项目类别:

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