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| Uncertainties in Modeling Spatially-Resolved Climate Change Health Impacts | |
| 项目编号 | 1R21ES020225-01 |
| LIU, YANG | |
| 项目主持机构 | EMORY UNIVERSITY |
| 开始日期 | 2011-08-01 |
| 结束日期 | 2013-07-31 |
| 英文摘要 | To assess population vulnerability to climate change, we propose to identify vulnerable geographical locations with increased health impacts (i.e., mortality) due to heat waves and air pollution exposures. We will also study the magnitude of uncertainties introduced by each analytical step of health impacts modeling. |
| 英文关键词 | Age;Air;Air Pollution;base;Biological Models;Businesses;Centers for Disease Control and Prevention (U.S.);Climate;climate change;Communities;County;Coupled;Data;Data Set;Decision Making;Demographer;density;disorder prevention;Environmental Exposure;Environmental Health;Epidemiology;Error Sources;Evolution;Exposure to;Funding;Funding Opportunities;Future;Geographic Locations;Government Agencies;greenhouse gases;Health;Heat Waves;Heterogeneity;improved;innovation;Laboratories;Location;Modeling;Mortality Vital Statistics;multidisciplinary;next generation;Outcome;Ozone;Particulate Matter;Policies;Population;Population Distributions;Process;public health medicine (field);Readiness;Relative (related person);Reporting;Research;Research Personnel;research study;Resolution;Resources;response;Risk;Science;Scientist;Simulate;simulation;Spatial Distribution;stressor;Structure;supercomputer;Techniques;Testing;theories;Uncertainty;Variant;Vulnerable Populations;Weather;Work;Yang |
| 学科分类 | 14 - 医学科学;1426 - 预防医学 |
| 资助机构 | US-NIH |
| 项目经费 | 232500 |
| 项目类型 | Research Projects |
| 国家 | US |
| 语种 | 英语 |
| 文献类型 | 项目 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/71233 |
| 推荐引用方式 GB/T 7714 | LIU, YANG.Uncertainties in Modeling Spatially-Resolved Climate Change Health Impacts.2011. |
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