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Association between ozone and emergency department visits: Application of geostatistics and geographic information systems (GIS).

机译:臭氧与急诊部门就诊之间的关联:地统计学和地理信息系统(GIS)的应用。

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摘要

Background. Ozone has been recognized as the most widespread and persistent urban pollution problem with demonstrated effects on health outcomes. However, there have been a limited number of studies using both temporal and spatial characteristics to study these relationships.Purpose. Using traditional statistics and geostatistics in combination with GIS, the association between ozone concentration and emergency department (ED) admissions for cardiovascular and respiratory conditions were examined at the ZIP code level.Methods. This study used multiple large datasets representing data for Maryland in the summer, 2002: (1) ozone data from the EPA, (2) weather factors from the National Climate Data Center, (3) socioeconomic status (SES) data from the Census 2000, and (4) ED visit data from the Maryland Health Services Cost Review Commission. Block kriging, a geostatistical technique, was applied to estimate daily ozone and weather factors (i.e., temperature and relative humidity) by ZIP-day level. These data were linked to aggregated ED visits. Poisson regression was used.Results. For 30 days of the 92-day study period, block kriged ozone concentration exceeded the EPA's national air quality standards for 8-hr ozone concentration, 85 parts per billion (ppb). A 10 ppb increment of 8-hr ozone as a 3-day average was associated with increased respiratory ED visits by 3.1% (95% CI: 1.8, 4.5) even after adjusting for weather factors, SES, and day of week. For cardiovascular ED visits, a 10 ppb increment of 1-hr ozone as a 5-day average increased by 4.7% (95% CI: 3.1, 6.3).Conclusion/Implication. Findings suggest that respiratory and cardiovascular ED visits increased even at lower ozone concentration than the EPA's air quality standards. As few studies examined the relationship between ozone and cardiovascular ED visits at a small area level, this study showed a statistical significance of ozone effects on increasing cardiovascular ED visits. Moreover, a limited number of studies have controlled for SES in examining relationship between air pollution and health, whereas this study adjusted for SES as a confounding factor of ozone effects on health outcomes. This study suggests that the integration of large datasets from discrete sources and the use of geostatistics and GIS can facilitate population health assessment. Future studies can use a similar approach to investigate other environmental risk factors and patient health outcomes at the population level.
机译:背景。臭氧被认为是最普遍和持久的城市污染问题,已证明对健康的影响。但是,目前只有很少的研究使用时空特征来研究这些关系。使用传统的统计和地统计学方法结合GIS,在邮政编码区域检查了臭氧浓度与急诊室(ED)心血管和呼吸系统疾病的入院率之间的关系。这项研究使用了代表2002年夏季马里兰州数据的多个大型数据集:(1)来自EPA的臭氧数据,(2)来自国家气候数据中心的天气因素,(3)来自2000年人口普查的社会经济状况(SES)数据,以及(4)ED访问来自马里兰州卫生服务成本审核委员会的数据。运用区块克里金法(一种地理统计技术),通过ZIP天的水平估算每日的臭氧和天气因素(即温度和相对湿度)。这些数据与汇总的急诊就诊相关。使用泊松回归。结果。在为期92天的研究期内的30天中,整体克氏臭氧浓度超过了EPA的8小时臭氧浓度的国家空气质量标准,即十亿分之85(ppb)。即使调整了天气因素,SES和星期几,平均3天的8小时臭氧增加了10 ppb,也使呼吸急诊就诊次数增加了3.1%(95%CI:1.8、4.5)。对于心血管急诊就诊,一小时臭氧作为5天平均值的10 ppb增量增加了4.7%(95%CI:3.1,6.3)。结论/含义。研究结果表明,即使在臭氧浓度低于EPA空气质量标准的情况下,呼吸道和心血管ED访视次数也会增加。由于很少有研究在小面积水平上检查臭氧与心血管急诊就诊之间的关系,因此本研究表明臭氧对增加心血管急诊就诊具有统计学意义。此外,少数研究控制了SES,以检查空气污染与健康之间的关系,而本研究对SES进行了调整,将其作为臭氧对健康结果影响的混杂因素。这项研究表明,来自离散来源的大型数据集的整合以及地统计和GIS的使用可以促进人口健康评估。未来的研究可以使用类似的方法在人群水平上调查其他环境风险因素和患者健康状况。

著录项

  • 作者

    Choi, Mona.;

  • 作者单位

    University of Maryland, Baltimore.;

  • 授予单位 University of Maryland, Baltimore.;
  • 学科 Health Sciences Nursing.Health Sciences Public Health.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 123 p.
  • 总页数 123
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
  • 关键词

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