Cislaghi C, Braga M, Luppi G, Tasco C
Istituto di Statistica Medica e Biometria, Università di Milano.
Epidemiol Prev. 1995 Jun;19(63):150-60.
The Italian Morality Atlas at municipality level, sponsored by the Health Ministry and realized by the Emilia-Romagna region in collaboration with the Institute of Medical Statistics of Milano, is aimed at: 1) supporting and stimulating the local production of mortality maps and the use of geographical data; 2) providing a working and research tool to local health planners; 3) setting a routine procedure for the detection of spatial clusters. This procedure is organized in several steps: the definition of the spatial domain and of the spatial distance metrics; the choice of the effect indicator and the standard population; the estimate of the density risk surface via kernel methods; the identification of "local maxima"; the analysis of local maxima for cluster detection; the description of the identified clusters. The paper investigates the meaning and the characteristics of spatial clusters, describes the procedure for their identification and discusses the opportunity to use an automated approach for map reading.
由卫生部赞助、艾米利亚 - 罗马涅大区与米兰医学统计研究所合作完成的意大利市级道德地图集旨在：1）支持并促进地方死亡率地图的制作以及地理数据的使用；2）为地方卫生规划者提供一个工作和研究工具；3）建立检测空间聚集的常规程序。该程序分为几个步骤：空间域和空间距离度量的定义；效应指标和标准人群的选择；通过核方法估计密度风险面；“局部最大值”的识别；用于聚集检测的局部最大值分析；对已识别聚集的描述。本文研究了空间聚集的意义和特征，描述了其识别程序，并讨论了使用自动方法进行地图解读的可能性。
