Geographies of risk in studies linking chronic air pollution exposure to health outcomes
Geographies of risk in studies linking chronic air pollution exposure to health outcomes
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DOI：
10.1080/15287390590936085
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发表时间：
2005-07-09
影响因子：
2.6
通讯作者：
Finkelstein, M
中科院分区：
文献类型：
--
作者：
Jerrett, M;Finkelstein, M
本文讨论了如何将空间过程纳入空气污染暴露的慢性健康影响评估的问题。分析框架围绕三个相关概念展开：（1）敏感性地理;（2）暴露地理;（3）这两者之间的交叉点，称为风险地理。文章讨论了每个概念如何包含许多较低层次的问题，如污染物的气象扩散，时空活动模式，以及易感个体在时间和空间中的人口分布。一个关键的前提是，研究人员应该针对暴露和易感性地理区域之间高度重叠的研究。重叠不完全或有系统性偏差的情况下，通常会产生衰减或不可靠的风险估计，其中一些不一致可能会在空间自相关残差中找到表达。
This article addresses the question of how to incorporate spatial processes into the assessment of chronic health effects from air pollution exposure. An analytic framework is developed around three related concepts: (1) the geography of susceptibility, (2) the geography of exposure; and (3) points of intersection between these two, termed the geography of risk. The article discusses how each concept encompasses many lower level issues such as meteorological dispersion of pollutants, time-space activity patterns, and population distributions of susceptible individuals in time and space. A key premise is that researchers should target studies with high degrees of overlap between geographies of exposure and susceptibility. Instances where the overlap remains incomplete, or systematically biased, usually produce attenuated or unreliable risk estimates, and some of this discordance may find expression in spatially autocorrelated residuals.