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

被引:0
作者
Thomas O. Talbot
Valerie B. Haley
W. Fred Dimmick
Chris Paulu
Evelyn O. Talbott
Judy Rager
机构
[1] New York State Department of Health,Bureau of Environmental and Occupational Epidemiology
[2] United States Environmental Protection Agency,National Exposure Research Laboratory
[3] Maine Center for Disease Control and Prevention,Environmental and Occupational Health Programs
[4] University of Pittsburgh,Department of Epidemiology
来源
Air Quality, Atmosphere & Health | 2009年 / 2卷
关键词
Environmental Public Health Tracking; EPHT; Ozone; PM2.5; Asthma; Myocardial infarction;
D O I
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中图分类号
学科分类号
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.
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页码:199 / 206
页数:7
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共 31 条
[1]  
Boldo E(2006)APHEIS: health impact assessment of long-term exposure to PM(2.5) in 23 European cities Eur J Epidemiol 21 449-458
[2]  
Medina S(2005)Measuring progress in management of ambient air quality: the case for population health J Toxicol Env Health A 68 1289-1300
[3]  
LeTertre A(2003)National maps of the effects of particulate matter on mortality: exploring geographical variation Environ Health Perspect 111 39-43
[4]  
Burnett RT(2005)Mortality and long-term exposure to ambient air pollution: ongoing analyses based on the American Cancer Society cohort J Toxicol Environ Health A 68 1093-1109
[5]  
Bartlett S(2005)Empirical Bayes and adjusted estimates approach to estimating the relation of mortality to exposure of PM10 Risk Anal 25 711-718
[6]  
Jessiman B(2007)On the equivalence of case-crossover and time series methods in environmental epidemiology Biostatistics 8 337-344
[7]  
Blagden P(2008)Tracking associations between ambient air quality and asthma-related emergency department visits in Maine using case-crossover analysis J Public Health Manag Pract 14 581-591
[8]  
Samson PR(2008)Case-crossover analysis of air pollution and cardiorespiratory hospitalizations and environmental data for tracking: science and data J Public Health Manag Pract 14 569-576
[9]  
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[10]  
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