Spatial analysis for environmental health research: Concepts, methods, and examples

被引:48
作者
Jerrett, M
Burnett, RT
Goldberg, MS
Sears, M
Krewski, D
Catalan, R
Kanaroglou, P
Giovis, C
Finkelstein, N
机构
[1] McMaster Univ, Sch Geog & Geol, Hamilton, ON L8S 4K1, Canada
[2] McMaster Univ, McMaster Inst Environm & Hlth, Hamilton, ON L8S 4K1, Canada
[3] Univ Ottawa, Ottawa, ON, Canada
[4] McGill Univ, Montreal, PQ, Canada
[5] Univ Laval, Quebec City, PQ, Canada
来源
JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH-PART A-CURRENT ISSUES | 2003年 / 66卷 / 16-19期
关键词
D O I
10.1080/15287390306446
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Spatial analysis can illuminate environmental health research in two ways. First, spatial analysis may suggest possible causal factors in disease pathogenesis. Association between disease and place may imply that the population living there either possesses inherent traits that make it more susceptible to disease or experiences elevated exposure to a risk factor such as air pollution. Second, spatial analysis can help identify how populations adapt and relate to their environment. This knowledge may lead to improved understanding of how people perceive and avoid health risks of environmental origin. The potential for spatial analysis to uncover these aspects of the association between health and the environment is limited by data and methodological problems that are discussed in the article. To familiarize researchers and policymakers with this increasingly important approach, we review spatial-analytic methods under three headings: visualization, exploration, and modeling. We use illustrative examples to assist readers in understanding the strengths and weaknesses of specific methods.
引用
收藏
页码:1783 / 1810
页数:28
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