Ballas Dimitris, Clarke Graham, Dorling Danny, Rigby Jan, Wheeler Ben
Department of Geography, University of Sheffield, Sheffield S10 2TN, UK.
Health Informatics J. 2006 Mar;12(1):65-79. doi: 10.1177/1460458206061217.
The paper presents a spatial microsimulation approach to the analysis of health inequalities. A dynamic spatial microsimulation model of Britain, under development at the Universities of Leeds and Sheffield, uses data from the censuses of 1971, 1981 and 1991 and the British Household Panel Survey to simulate urban and regional populations in Britain. Geographical information systems and spatial microsimulation are used for the analysis of health inequalities in British regions in a 30 year simulation. The interdependencies between socio-economic characteristics and health variables such as limiting long-term illness are discussed. One of the innovative features of the model is the estimation of variables such as household income at the small area level, which can then be used to classify individuals. The health situation of different simulated individuals in different areas is investigated and the role of socio-economic characteristics in determining health is evaluated.
本文提出了一种用于分析健康不平等的空间微观模拟方法。利兹大学和谢菲尔德大学正在开发的一个英国动态空间微观模拟模型，使用1971年、1981年和1991年的人口普查数据以及英国家庭调查小组的数据来模拟英国的城市和区域人口。地理信息系统和空间微观模拟被用于在30年的模拟中分析英国各地区的健康不平等。讨论了社会经济特征与诸如长期疾病限制等健康变量之间的相互依存关系。该模型的创新特征之一是在小区域层面估计诸如家庭收入等变量，然后可用于对个人进行分类。研究了不同地区不同模拟个体的健康状况，并评估了社会经济特征在决定健康方面的作用。
