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Development And Evaluation Of A Model For Estimating Long-Term Average Population Ozone Exposures Of Children

Jianping Xue1, Halûk Özkaynak1, Valerie Zartarian1, John Spengler2


1. USEPA National Exposure Research Laboratory, RTP, NC, USA

2. Harvard University School of Public Health, Boston, MA, USA

 

Ozone is an oxidant gas that has been shown to exert a variety of adverse effects on the human respiratory system. Accurate estimates of personal ozone exposure are important for human health risk assessments. Because personal ozone measurements are ideal but expensive to collect, modeled estimates of population ozone exposure can be used to assess its importance. A hierarchical regression model was used to estimate long-term (over one year) population ozone exposure. It was found that a simple model with easily accessible data can reasonably predict long-term population personal ozone exposure and help assess related health effects.

 

Disclaimer:  Although this work was reviewed by EPA and approved for publication, it may not necessarily reflect official Agency policy.


 

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