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Evaluation of spatial relationships between health and the environment: the rapid inquiry facility.

机译:评估健康与环境之间的空间关系:快速查询工具。

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BACKGROUND: The initiation of environmental public health tracking systems in the United States and the United Kingdom provided an opportunity to advance techniques and tools available for spatial epidemiological analysis integrating both health and environmental data. OBJECTIVE: The Rapid Inquiry Facility (RIF) allows users to calculate adjusted and unadjusted standardized rates and risks. The RIF is embedded in ArcGIS so that further geographical information system (GIS) spatial functionality can be exploited or results can be exported to statistical packages for further tailored analyses where required. The RIF also links directly to several statistical packages and displays the results in the GIS. METHODS: The value of the RIF is illustrated here with two case studies: risk of leukemia in areas surrounding oil refineries in the State of Utah (USA) and an analysis of the geographical variation of risk of esophageal cancer in relation to zinc cadmium sulfide exposure in Norwich (United Kingdom). RESULTS: The risk analysis study in Utah did not suggest any evidence of increased relative risk of leukemia, multiple myeloma, or Hodgkin's lymphoma in the populations around the five oil-refining facilities but did reveal an excess risk of non-Hodgkin's lymphoma that might warrant further investigation. The disease-mapping study in Norwich did not reveal any areas with higher relative risks of esophageal cancer common to both males and females, suggesting that a common geographically determined exposure was unlikely to be influencing cancer risk in the area. CONCLUSION: The RIF offers a tool that allows epidemiologists to quickly carry out ecological environmental epidemiological analysis such as risk assessment or disease mapping.
机译:背景:在美国和英国,环境公共卫生跟踪系统的启动为有机结合健康和环境数据进行空间流行病学分析的技术和工具的发展提供了机会。目的:快速查询工具(RIF)允许用户计算调整后和未调整后的标准化费率和风险。 RIF嵌入在ArcGIS中,因此可以利用进一步的地理信息系统(GIS)空间功能,或者可以将结果导出到统计数据包中,以便在需要时进行进一步的定制分析。 RIF还直接链接到几个统计数据包,并将结果显示在GIS中。方法:通过两个案例研究说明了RIF的价值:美国犹他州炼油厂周边地区的白血病风险以及与硫化锌镉暴露相关的食道癌风险的地理分布分析在诺里奇(英国)。结果:在犹他州进行的风险分析研究并未发现任何证据表明在五个炼油厂附近的人群中白血病,多发性骨髓瘤或霍奇金淋巴瘤的相对风险增加,但确实显示了非霍奇金淋巴瘤的额外风险,这可能值得进一步的调查。诺里奇市的疾病映射研究未发现任何男性和女性均具有较高食管癌相对风险的地区,这表明,由地理确定的常见暴露水平不太可能影响该地区的癌症风险。结论:RIF提供了一种工具,使流行病学家能够快速进行生态环境流行病学分析,例如风险评估或疾病作图。

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