课题基金 / 基金详情

Spatio-Temporal Epidemiology: Methods and Applications

Spatio-Temporal Epidemiology: Methods and Applications
时空流行病学:方法与应用
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

项目摘要

项目成果

JONATHAN C WAKEFIELD的其他基金

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中文摘要
翻译
描述(由申请人提供):本申请寻求支持开发分析时空区域数据的方法。这些方法的目的是:查明空间和/或时间上的趋势;发现风险的“热”或“冷”点;评估干预措施的实施情况;发现健康差距较大的人群;并就可能的风险因素提出假设。聚集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:空间和时间相关性;罕见事件的内在不稳定性;分子和分母的错误;以及聚集引起的问题(如果不加以处理,可能导致“生态偏差”)。该应用程序解决了其中的每一个问题,并具有特定的目标: 1.开发和应用时空模型,特别是开展监测。 2.开发一个框架,用于分析综合健康结果与在点位置测量的环境暴露(在空气、水或土壤中)之间的关联。 3.开发有效的设计,将生态和个体水平的数据结合起来,为生态学研究提供更有力的分析基础。 开发的方法将在基因上适用于非传染性疾病,并将使用一系列数据进行说明,包括公开可获得的美国癌症发病率和死亡率数据,以及华盛顿州小区域癌症发病率数据。开发的方法将通过在免费软件中的实施向研究人员提供。
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.
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Bayesian Mortality Estimation from Disparate Data Sources
  • 批准号:
    10717177
  • 项目类别:
  • 资助金额:
    $32.31万
  • 财政年份:
    2023
  • 负责人:
    JONATHAN C WAKEFIELD
  • 依托单位:
SPATIO-TEMPORAL EPIDEMIOLOGY: METHODS AND APPLICATIONS
  • 批准号:
    9144720
  • 项目类别:
  • 资助金额:
    $21.26万
  • 财政年份:
    2005
  • 负责人:
    JONATHAN C WAKEFIELD
  • 依托单位:
Spatio-Temporal Epidemiology: Methods and Applications
  • 批准号:
    7269420
  • 项目类别:
  • 资助金额:
    $18.65万
  • 财政年份:
    2005
  • 负责人:
    JONATHAN C WAKEFIELD
  • 依托单位:
Spatio-Temporal Epidemiology: Methods and Applications
  • 批准号:
    7487082
  • 项目类别:
  • 资助金额:
    $18.64万
  • 财政年份:
    2005
  • 负责人:
    JONATHAN C WAKEFIELD
  • 依托单位: