Monitoring for clusters of disease: application to leukemia incidence in upstate New York.
Monitoring for clusters of disease: application to leukemia incidence in upstate New York.
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DOI：
10.1093/oxfordjournals.aje.a115775
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发表时间：
1990-07
影响因子：
5
通讯作者：
Bruce W. Turnbull;Eric J. Iwano;William S. Burnett;Holly L. Howe;Larry C. Clark
中科院分区：
文献类型：
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作者：
Bruce W. Turnbull;Eric J. Iwano;William S. Burnett;Holly L. Howe;Larry C. Clark
作者提出了一种检测重大慢性病群集的程序，特别是癌症。该程序允许人口密度的变化，并避免了“事后”形成假设或自定义人口的问题。这解释了聚类评价的几个主要问题。这些技术是实用的，但“计算机密集型”。该程序被称为“聚类评估排列程序”，应用于从纽约州癌症登记处和人口普查文件中获得的纽约州北部地区的白血病发病率数据。与最近提出的另外两种聚类方法进行了比较，即Whittemore等人的U-statistic方法（Biometrika 1987;74:631-7）和Openshaw等人的“地理分析机”（Lancet 1988;1:27 3 -3）。使用聚类评估排列程序对疾病发生情况进行常规检查，将使州卫生官员能够优先考虑病例调查，并及时有效地回应报告的聚类的询问。
The authors propose a procedure for the detection of significant clusters of chronic diseases, with particular reference to cancer. The procedure allows for variations in population density and avoids the problem of "post hoc" formation of hypotheses or self-defined populations. This accounts for several of the principal problems of cluster evaluations. The techniques are practical but "computer-intensive." The procedure, termed the "cluster evaluation permutation procedure," is applied to leukemia incidence data for an Upstate New York region obtained from the New York State Cancer Registry and census files. Comparisons are made with two other recently proposed clustering methods, namely the U-statistic method of Whittemore et al. (Biometrika 1987;74:631-7) and the "geographical analysis machine" of Openshaw et al. (Lancet 1988;1:272-3). Routine examination of disease occurrence with the cluster evaluation permutation procedure would allow state health officials to prioritize case investigations and to respond in a timely and efficient manner to inquiries of reported clusters.