Development of Small Area Interactive Risk Maps for Cancer Control Efforts

为癌症控制工作开发小区域交互式风险地图

基本信息

  • 批准号:
    10416454
  • 负责人:
  • 金额:
    $ 34.96万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-06-15 至 2025-05-31
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY This study will use a Bayesian hierarchical modeling statistical framework to obtain rates of new cancer cases and cancer deaths at the ZIP-code level, which will allow cancer control researchers and practitioners to focus their efforts on populations at greatest risk. The Bayesian hierarchical model will produce small area estimates by borrowing strength from neighboring ZIP-codes as well as over time. Typically, the ZIP-code levels would need to be combined to much larger regions to obtain sample sizes big enough to either de-identify individuals or stabilize the variance, or both. We employ a zero-inflated model since many ZIP-codes will have small and especially zero counts in a given year and age group. Given that the challenges of, and needs for, calculating small area cancer estimates is greatest in rural areas, we will focus on the largely rural states of Iowa, Kentucky, and New Mexico. We will then construct user friendly maps and other interactive graphics that can be tailored and included on cancer control/public health websites and develop communication and educational materials to promote the use of these maps for cancer control purposes. The result is an interactive visualization approach that displays age-adjusted cancer rates, risk of cancer relative to the state average, and levels of confidence, all at the small area ZIP-code level even for rural areas with small and zero counts. The probabilities and cancer risk estimates will be disseminated through a widely available platform that is easy to use and understand.
项目总结

项目成果

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Jacob Oleson其他文献

Jacob Oleson的其他文献

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{{ truncateString('Jacob Oleson', 18)}}的其他基金

Development of Small Area Interactive Risk Maps for Cancer Control Efforts
为癌症控制工作开发小区域交互式风险地图
  • 批准号:
    10645147
  • 财政年份:
    2022
  • 资助金额:
    $ 34.96万
  • 项目类别:
Epidemic modeling framework for complex, multi-species disease processes
复杂、多物种疾病过程的流行病建模框架
  • 批准号:
    9241563
  • 财政年份:
    2016
  • 资助金额:
    $ 34.96万
  • 项目类别:

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