A GIS Based Workbench to Interpret Cancer Maps

基于 GIS 的癌症地图解读工作台

• 批准号: 6625929
• 负责人: Gerard Rushton
• 金额: $ 44.4万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-05-01 至 2005-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6625929
• 关键词: breast neoplasms; cancer prevention; cancer registry /resource; clinical research; colorectal neoplasms; computer simulation; data collection methodology /evaluation; geographic difference; geographic site; health care service availability; human data; mass screening; mathematical model; method development; neoplasm /cancer epidemiology; neoplasm /cancer palliative treatment; sociology /anthropology; statistics /biometry

DESCRIPTION (provided by applicant): This research will develop and test a methodology for identifying regions of excess cancer burden for breast and colorectal cancer in Iowa. It will refine measures of geographic access to cancer prevention, treatment, and screening services in Iowa by computing values using fine-scaled geographic data on individuals, the spatial choices of individuals, and the locations of services providers, It will use Iowa Cancer Registry (SEER) data for a ten year period (1900-1999) and linked patient files to Medicare and selected medical insurance records. It will compute statistical models from the family of logistic regression models to associate specific cancer burden measures to predictor vanables that capture local characteristics of the area and characteristics of the individuals. The cancer burden measures for breast and colorectal cancer are stage at diagnosis, five-year survival, and probability of screening. The methodology will develop a regional simulation workbench (RSW) to generate the expected range and variations in the cancer burden measures for small geographic areas of Iowa based on local demographic characteristics of the area and statewide cancer burden rates. Stochastic variations will be computed using Monte Carlo simulation methods. Regions will be identified using modified, geographic feature extraction methods. The methodology will be validated in Iowa and, in year three, plans will be developed for its adoption and implementation in two other states with strong cancer registries belonging to the North American Association of Cancer Registries. Results can be used to plan more appropriate cancer prevention and control programs. The researchers are geographers who specialize in geographic information science and medical geography and epidemiologists with a substantial record of research in cancer incidence, prevention and control.

描述（由申请人提供）：本研究将开发和测试 用于鉴定乳腺癌和乳腺癌的过度癌症负担区域的方法 爱荷华州的结肠直肠癌。它将完善地理准入措施， 爱荷华州的癌症预防、治疗和筛查服务 价值观使用精细比例的地理数据对个人，空间的选择 个人，以及服务提供商的位置，它将使用爱荷华州癌症 10年（1900-1999）的登记（SEER）数据和链接的患者文件 和选定的医疗保险记录。它会计算出 逻辑回归模型家族中的模型， 癌症负担测量，以预测捕获当地特征的变量 的区域和个人的特征。癌症负担指标 乳腺癌和结直肠癌的诊断分期，五年生存率， 和筛选的可能性。该方法将制定一个区域 模拟工作台（RSW），以生成预期的范围和变化， 根据当地的癌症负担指标，对爱荷华州的小地理区域进行了测量， 该地区和全州癌症负担率的人口统计学特征。 将使用蒙特卡罗模拟方法计算随机变化。 将使用修改后的地理特征提取来识别区域 方法.该方法将在爱荷华州得到验证，并计划在第三年 将在另外两个州制定和实施， 北美癌症协会（North American Association of Cancer） 登记处。研究结果可用于制定更适当的癌症预防计划， 控制程序。研究人员是地理学家， 信息科学和医学地理学以及流行病学家 在癌症发病率、预防和控制方面有大量研究记录。