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A GI Science investigation into the relationship between childhood respiratory diseases and unhealthy ozone level: Environmental inequity and health disparities in the Houston area.

机译：一项GI Science对儿童呼吸道疾病与不健康臭氧水平之间关系的调查：休斯敦地区的环境不平等和健康差距。

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摘要

A conceptual framework including the dose-response model, environmental inequity model, and health disparities model was proposed to study environmental health. The framework was used to investigate the triad relationships among the three components---ozone exceedances, childhood respiratory diseases prevalence, and socioeconomic status (SES)---in the highly polluted Houston area during the summer of 2001. The objective of the study is to illuminate the significance of environmental exposure and environmental inequity on health disparities. The study employs GIS and exploratory spatial data analysis (ESDA), to explore the spatial patterns of each component, and uses mapping and confirmatory spatial data analyses (CSDA) to examine the spatial associations between them. The results of ESDA reveal the existence of three local ozone highs, the locations and magnitudes of childhood respiratory disease hot spots, and the highly segregated socio-economic status in the Houston area. The results of CSDA show that there are significant spatial relationships at the local rather than the global scale. The areas of north-central, central, and southeast Houston contain the most significant spatial associations between ozone exceedances and disease prevalence. The north-central and southwest areas of Houston with a high percentage of low-income Hispanics have the most significant spatial associations between ozone exceedances and SES. The northeast, south-central and northwest areas of Houston with a high percentage of low-income African Americans have the most significant spatial association between disease prevalence and SES. Results show the consequence of health disparities of childhood respiratory diseases is not necessarily affected by the exposure to ozone exceedances. It indicates susceptibility may be a more important part than exposure for the health disparities of childhood respiratory diseases. The non-stionarity of the environmental inequity and health disparities suggests that GWR is an effective approach to identify the sub-regions affected by environment pollution and public health within an urban area. The areas identified as the high association of environmental inequity and health disparities may aid environmental regulatory agencies in resolving environmental health in air pollution through the regulation of new development.
机译：提出了包括剂量反应模型，环境不平等模型和健康差异模型的概念框架来研究环境健康。该框架用于调查2001年夏季在污染严重的休斯敦地区这三个组成部分之间的三元关系-臭氧超标，儿童呼吸道疾病患病率和社会经济地位（SES）-。研究的目的目的是阐明环境暴露和环境不平等对健康差距的重要性。该研究利用GIS和探索性空间数据分析（ESDA）来探索每个组件的空间模式，并使用制图和确认性空间数据分析（CSDA）来检查它们之间的空间关联。 ESDA的结果揭示了三个局部臭氧高点的存在，儿童呼吸道疾病热点的位置和大小以及休斯顿地区高度隔离的社会经济地位。 CSDA的结果表明，在本地而非全球范围内存在显着的空间关系。休斯顿中北部，中部和东南部地区的臭氧超标与疾病患病率之间存在最显着的空间联系。休斯顿的中北部和西南地区低收入拉美裔比例很高，其臭氧超标与SES之间的空间联系最为明显。休斯顿的东北部，中南部和西北部地区的低收入非洲裔美国人比例很高，在疾病患病率与SES之间存在最显着的空间关联。结果表明，儿童呼吸系统疾病的健康差异并不一定会受到过量臭氧的影响。它表明，对于儿童呼吸道疾病的健康差异，易感性可能比暴露更重要。环境不平等和健康差异的非唯一性表明，GWR是确定市区内受环境污染和公共卫生影响的次区域的有效方法。被确定为环境不平等与健康差距高度关联的地区，可以通过监管新发展项目来帮助环境监管机构解决空气污染中的环境健康问题。

著录项

  • 作者

    Lin, Shing-Tzong.;

  • 作者单位

    Texas State University - San Marcos.;

  • 授予单位 Texas State University - San Marcos.;
  • 学科 Geography.;Health Sciences Epidemiology.;Health Sciences Public Health.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 232 p.
  • 总页数 232
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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