Spatio-Temporal Epidemiology: Methods and Applications
Spatio-Temporal Epidemiology: Methods and Applications
批准号:
7125963
负责人:
JONATHAN C WAKEFIELD
金额:
$19.17万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-09-30 至 2009-07-31
中文摘要
说明(由申请人提供):本申请寻求支持,以开发时空区域数据分析方法。这些方法旨在:确定空间和/或时间趋势;发现风险的“热点”或“冷点”;评估干预措施的提供情况;发现健康状况存在差异的人群;并提出关于可能风险因素的假设。汇总的时空疾病数据提出了独特的统计挑战,特别是必须考虑到:空间和时间依赖性;罕见事件固有的不稳定性;分子和参数的错误;以及汇总造成的问题(如果不加以解决,可能导致“生态偏见”)。该应用程序解决了这些问题中的每一个,并具有特定的目标:
1.开发和应用时空模型,特别是进行监测。
2.制定一个框架,分析在点位置测量的综合健康结果与环境暴露(空气、水或土壤)之间的关联。
3.开发有效的设计,结合生态和个人层面的数据,为生态研究提供更强大的分析基础。
开发的方法将在遗传学上适用于非传染性疾病,并将使用一系列数据进行说明,包括公开的美国癌症发病率和死亡率数据,以及华盛顿州小地区癌症发病率数据。开发的方法将通过在免费提供的软件中实施提供给研究人员。
英文摘要
DESCRIPTION (provided by applicant): This application seeks support to develop methods for the analysis of spatio-temporal area data. These methods aim to: identify trends in space and/or time; detect "hot" or "cold" spots of risk; assess delivery of interventions; detect populations who are subject to health disparities; and generate hypotheses concerning possible risk factors. Aggregated spatio-temporal disease data present unique statistical challenges, in particular one must account for: spatial and temporal dependence; the inherent instability of rare events; errors in numerators and denominators; and problems due to aggregation (which if not addressed may lead to "ecological bias"). This application addresses each of these issues, and has specific aims:
1. To develop and apply spatio-temporal models, in particular to carry out surveillance.
2. To develop a framework for analysis of the association between aggregated health outcomes and environmental exposures (in air, water, or soil) measured at point locations.
3. To develop efficient designs for combining ecological- and individual-level data to provide a stronger analytic basis for ecological studies.
The methods developed will be genetically applicable to non-infectious diseases and will be illustrated using a range of data including publicly-available U.S. cancer incidence and mortality data, and Washington State small-area cancer incidence data. Developed methods will be made available to researchers via implementation within freely-available software.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Bayesian Mortality Estimation from Disparate Data Sources
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批准号:10717177
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项目类别:
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资助金额:$32.31万
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财政年份:2023
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负责人:JONATHAN C WAKEFIELD
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依托单位:
SPATIO-TEMPORAL EPIDEMIOLOGY: METHODS AND APPLICATIONS
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批准号:9144720
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项目类别:
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资助金额:$21.26万
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财政年份:2005
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负责人:JONATHAN C WAKEFIELD
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依托单位:
Spatio-Temporal Epidemiology: Methods and Applications
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批准号:7269420
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项目类别:
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资助金额:$18.65万
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财政年份:2005
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负责人:JONATHAN C WAKEFIELD
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依托单位:
Spatio-Temporal Epidemiology: Methods and Applications
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批准号:7487082
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项目类别:
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资助金额:$18.64万
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财政年份:2005
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负责人:JONATHAN C WAKEFIELD
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依托单位:
SPATIO-TEMPORAL EPIDEMIOLOGY: METHODS AND APPLICATIONS
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批准号:8758573
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项目类别:
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资助金额:$22.62万
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财政年份:2005
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负责人:JONATHAN C WAKEFIELD
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依托单位:
Spatio-Temporal Epidemiology: Methods and Applications
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批准号:6927704
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项目类别:
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资助金额:$19.4万
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财政年份:2005
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负责人:JONATHAN C WAKEFIELD
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依托单位: