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Developing consistent data and methods to measure the public health impacts of ambient air quality for Environmental Public Health Tracking: progress to date and future directions

机译:开发一致的数据和方法以测量环境空气质量对公共健康的影响以进行环境公共健康跟踪:最新进展和未来方向

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摘要

Environmental Public Health Tracking (EPHT) staff at the state and national levels are developing nationally consistent data and methods to estimate the impact of ozone and fine particulate matter on hospitalizations for asthma and myocardial infarction. Pilot projects have demonstrated the feasibility of pooling state hospitalization data and linking these data to The United States Environmental Protection Agency (EPA) statistically based ambient air estimates for ozone and fine particulates. Tools were developed to perform case-crossover analyses to estimate concentration–response (C-R) functions. A weakness of analyzing one state at a time is that the effects are relatively small compared to their confidence intervals. The EPHT program will explore ways to statistically combine the results of peer-reviewed analyses from across the country to provide more robust C-R functions and health impact estimates at the local level. One challenge will be to routinely share data for these types of analyses at fine geographic and temporal scales without disclosing confidential information. Another challenge will be to develop C-R estimates which take into account time, space, or other relevant effect modifiers.
机译:州和国家级的环境公共卫生跟踪(EPHT)工作人员正在开发全国一致的数据和方法,以估算臭氧和细颗粒物对哮喘和心肌梗塞住院治疗的影响。试点项目证明了合并州住院数据的可行性,并将这些数据与美国环境保护署(EPA)基于统计数据的臭氧和细颗粒物的环境空气估算值相链接。开发了用于进行病例交叉分析的工具,以估计浓度响应(C-R)功能。一次分析一个状态的一个缺点是,与它们的置信区间相比,其影响相对较小。 EPHT计划将探索方法,以统计学方式将全国各地经过同行评审的分析结果相结合,以在地方一级提供更强大的C-R功能和健康影响估计。一个挑战将是在精细的地理和时间范围内例行共享这些类型的分析数据,而不会泄露机密信息。另一个挑战是开发考虑时间,空间或其他相关影响修正因素的C-R估计。

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