Small Area Health Statistics Unit, MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, UK.
Environ Health Perspect. 2010 Sep;118(9):1306-12. doi: 10.1289/ehp.0901849. Epub 2010 May 10.
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.
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.
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).
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.
The RIF offers a tool that allows epidemiologists to quickly carry out ecological environmental epidemiological analysis such as risk assessment or disease mapping.
美国和英国启动环境公共卫生跟踪系统,为整合健康和环境数据的空间流行病学分析提供了可用技术和工具的进步机会。
快速查询工具(RIF)允许用户计算调整和未调整的标准化率和风险。RIF 嵌入到 ArcGIS 中,以便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软件包中进行进一步的定制分析,如果需要的话。RIF 还直接链接到几个统计软件包,并在 GIS 中显示结果。
本文通过两个案例研究说明了 RIF 的价值:犹他州(美国)炼油厂周围地区的白血病风险和诺维奇(英国)与锌镉硫化物暴露有关的食管癌地理变异风险分析。
犹他州的风险分析研究并未表明在五个炼油厂周围的人群中白血病、多发性骨髓瘤或霍奇金淋巴瘤的相对风险增加,但确实显示出非霍奇金淋巴瘤的风险增加,这可能需要进一步调查。诺维奇的疾病制图研究并未发现男性和女性都存在食管癌相对风险较高的区域,这表明不太可能存在影响该地区癌症风险的共同地理决定因素。
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,如风险评估或疾病制图。