Geostatistical software for the boundary analysis of cancer maps

用于癌症地图边界分析的地统计软件

基本信息

批准号：
7536853
负责人：
PIERRE E GOOVAERTS
金额：
$ 10万
依托单位：
BIOMEDWARE
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-07-01 至 2009-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7536853
关键词：
Accounting Adoption Area Atlas of Cancer Mortality in the United States Behavioral Breast Cancer Cluster Cancer Control Censuses Cluster Analysis Code Complement Computer software County Data Detection Development Disease Economic Conditions Economics Educational workshop Environmental Exposure Evaluation Fertilization Fostering Geographic Locations Geography Grant Health Health Sciences Health Services Accessibility Human Imagery Incidence Intelligence International Investigation Lead Location Long Island Malignant Neoplasms Malignant neoplasm of prostate Maps Measures Methodology Methods Michigan Modeling New York Outcome Pathway interactions Pattern Performance Phase Policies Population Procedures Public Health Publications Purpose Randomized Rate Research Residual state Resources Scheme Science Scientist Spatial Distribution Statistical Methods Survival Rate System Techniques Testing Time Uncertainty United States National Institutes of Health Variant Zip Code base cancer prevention cancer risk design geographic difference improved member mortality prototype simulation statistics theories tool trend

项目摘要

DESCRIPTION (provided by applicant): The overall objective of this project is to develop the first GIS-based software to offer tools that are specifically designed for the boundary analysis of aggregated health data, providing: geostatistical modeling of the uncertainty attached to the spatial distribution of rates and its propagation through the computation of boundary statistics, interpolation of health outcomes and putative factors to the same spatial support to facilitate boundary overlap analysis, detection of significant boundaries accounting for the spatial pattern of rates and multiple testing correction, and visualization of changes in the location of these boundaries through time. This product will allow the detailed investigation of zones of abrupt changes in disease rates, and the exploration of relationships between health outcomes and potential factors, such as environmental exposures, socio- economic conditions, and cancer control methods, leading to: (1) a better understanding of the mechanisms/pathways/causes by which regions influence health outcomes, and (2) long-term quantification of the benefits of current strategies and policies for reducing the observed geographic disparities in cancer incidence, mortality and survival. Instructional materials will be developed to promote the use of this relatively new methodology among health scientists. Phase I of the project will: > Develop and validate through simulation studies geostatistical techniques for modeling spatial uncertainty and statistical tests that account for spatial patterns and multiple testing in the detection of significant geographic boundaries in cancer rates and putative factors. > Conduct a requirements analysis to identify the optimal spatial methods and functionality to incorporate into the software: TerraSeer Space-Time Intelligence System" (STIS"). > Develop and test a software prototype to detect, visualize and interpret significant boundaries in cancer maps. PUBLIC HEALTH RELEVANCE The substantial benefit of this research is its utility in documenting, analyzing and interpreting geographic variation in cancer incidence, mortality and survival, and relating these cancer boundaries to boundaries in potential environmental exposures and access to health care. The methods developed in this project will help gain a better understanding of the mechanisms/pathways/causes by which regions influence health outcomes, and lead to a long-term quantification of the benefits of current strategies and policies for reducing the observed geographic disparities in cancer incidence, mortality and survival.

描述（由申请人提供）：该项目的总体目标是开发第一个基于 GIS 的软件，以提供专门为聚合健康数据的边界分析而设计的工具，提供：与空间分布相关的不确定性的地统计模型通过计算边界统计数据、将健康结果和推定因素插值到同一空间支持来促进边界重叠分析、检测考虑比率空间模式和多重测试校正的重要边界以及变化的可视化，来计算比率及其传播在这些边界的位置通过时间。该产品将允许详细调查疾病发生率突变的区域，并探索健康结果与潜在因素（例如环境暴露、社会经济条件和癌症控制方法）之间的关系，从而：（1）更好地了解各地区影响健康结果的机制/途径/原因，以及(2)长期量化当前战略和政策的效益，以减少观察到的癌症发病率、死亡率和生存率的地理差异。将开发教学材料以促进健康科学家使用这种相对较新的方法。该项目的第一阶段将： > 通过模拟研究开发和验证地统计技术，用于建模空间不确定性和统计测试，以解释空间模式和多重测试，以检测癌症发病率和推定因素的重要地理边界。 > 进行需求分析，以确定要合并到软件中的最佳空间方法和功能：TerraSeer 时空智能系统”(STIS”)。 > 开发并测试软件原型，以检测、可视化和解释癌症图中的重要边界。公共健康相关性这项研究的实质性好处是它可以记录、分析和解释癌症发病率、死亡率和生存率的地理差异，并将这些癌症边界与潜在环境暴露和获得医疗保健的边界联系起来。该项目开发的方法将有助于更好地了解地区影响健康结果的机制/途径/原因，并导致对当前减少癌症地理差异的战略和政策的好处进行长期量化发病率、死亡率和生存率。