Cliff A D, Haggett P, Stroup D F
Department of Geography, University of Cambridge, England.
Am J Epidemiol. 1992 Sep 1;136(5):592-602. doi: 10.1093/oxfordjournals.aje.a116537.
The incidence of disease across geographic space often produces distinctive regional patterns. In this paper, a modeling approach to the identification of the factors that shape the patterns is presented, and a procedure for fitting the model to observed data is given. The methodology is illustrated by an application to the geographic structure of measles epidemics among 22 states of the northeastern United States, New York City, and Washington, D.C., from 1962 to 1988. The patterns identified are interpreted in terms of the spatial behavior of measles epidemics in the region, and the implications of the methodology for surveillance and control are considered.
疾病在地理空间上的发病率往往会产生独特的区域模式。本文提出了一种用于识别形成这些模式的因素的建模方法，并给出了将该模型拟合到观测数据的程序。通过应用于1962年至1988年美国东北部22个州、纽约市和华盛顿特区麻疹流行的地理结构，对该方法进行了说明。根据该地区麻疹流行的空间行为对识别出的模式进行了解释，并考虑了该方法对监测和控制的影响。
