Marchi M, Biggeri A
Dipartimento Statistico, Università degli Studi di Firenze.
Epidemiol Prev. 1995 Jun;19(63):161-7.
Since the 1950's a number of methods have been developed whose aims is to provide enhanced mapping tools, which allow the depiction of the distribution of disease, and thereafter, to assess risks due to environmental factors (or other spatial-defined factors). Our review of statistical-epidemiological methodology for spatial analysis of diseases shall outline the distinction between global tests for clustering (detection of non casual distribution of events in an area) and cluster detection's techniques for the identification and location of abnormal aggregation of disease's cases. In this paper we evaluate each-one of the proposed methods, on general grounds, with regard to whether they meet the aims of the analysis and how successful they are in overcoming problems.
自20世纪50年代以来，已经开发出了许多方法，其目的是提供增强的绘图工具，这些工具可以描绘疾病的分布情况，进而评估环境因素（或其他空间定义因素）带来的风险。我们对疾病空间分析的统计流行病学方法的综述将概述聚类全局检验（检测某一区域内事件的非偶然分布）与用于识别和定位疾病病例异常聚集的聚类检测技术之间的区别。在本文中，我们从总体上评估每种提议的方法，看它们是否符合分析目的以及在克服问题方面的成效如何。
