Public health, GIS,and spatial analytic tools

被引:160
作者
Rushton, G [1 ]
机构
[1] Univ Iowa, Dept Geog, Iowa City, IA 52242 USA
关键词
spatial analysis; disease maps; exploratory data analysis; geocoding; Monte Carlo simulation;
D O I
10.1146/annurev.publhealth.24.012902.140843
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
We review literature that uses spatial analytic tools in contexts where Geographic Information Systems (GIS) is the organizing system for health data or where the methods discussed will likely be incorporated in GIS-based analyses in the future. We conclude the review with the point of view that this literature is moving toward the development and use of systems of analysis that integrate the information geo-coding and data base functions of GISystems with the geo-information processing functions of GIScience. The rapidity of this projected development will depend on the perceived needs of the public health community for spatial analysis methods to provide decision support. Recent advances in the analysis of disease maps have been influenced by and benefited from the adoption of new practices for georeferencing health data and new ways of linking such data geographically to potential sources of environmental exposures, the locations of health resources and the geodemographic characteristics of populations. This review focuses on these advances.
引用
收藏
页码:43 / 56
页数:18
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