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Spatial Clusters of Cancers in Illinois 1986–2000

机译:伊利诺伊州癌症的空间集群1986–2000

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Elevated cancer rates in some areas may arise simply by chance. The pattern generally warrants a study only when it is statistically significant. This research uses a recently developed spatial statistic, implemented in a Geographic Information System (GIS) environment, to detect spatial clusters of diagnostically specific cancers in Illinois. On the basis of the cancer incidence data (the 1986–1990 and 1996-2000 data sets) from the Illinois Cancer Registry, the study examines different clustering patterns of four leading types of cancer in Illinois, namely breast, lung, colorectal, and prostate cancers. The first part of the study uses the data at the county level, and the second part uses the data in zip code areas. The analysis using the zip code area data directly may be problematic since the rate estimates for rare events like cancer in small populations are susceptible to data errors. The spatial order method is used to group zip code areas so that the new geographic areas have sufficiently large base populations for estimates of reliable cancer rates. Results from the spatial cluster analysis may be valuable for other researchers to design follow-up case-control and retrospective cohort studies.
机译:在某些地区,癌症的发病率升高可能只是偶然造成的。该模式通常仅在具有统计学意义时才需要进行研究。这项研究使用在地理信息系统(GIS)环境中实施的最新开发的空间统计信息,来检测伊利诺伊州诊断特定癌症的空间簇。根据伊利诺伊州癌症登记处的癌症发病率数据(1986-1990年和1996-2000年数据集),研究检查了伊利诺伊州四种主要癌症的不同聚类模式,即乳腺癌,肺癌,结直肠癌和前列腺癌癌症。研究的第一部分使用县一级的数据,第二部分使用邮政编码区域中的数据。直接使用邮政编码区域数据进行分析可能会出现问题,因为对少数人群如癌症的罕见事件的发生率估算容易受到数据错误的影响。使用空间排序方法对邮政编码区域进行分组,以便新的地理区域具有足够大的基本人口,以估计可靠的癌症发生率。空间聚类分析的结果对于其他研究者设计随访病例对照和回顾性队列研究可能是有价值的。

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