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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
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 feasibil...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2805787/ https://www.ncbi.nlm.nih.gov/pubmed/20098503 http://dx.doi.org/10.1007/s11869-009-0043-1 |
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author | Talbot, Thomas O. Haley, Valerie B. Dimmick, W. Fred Paulu, Chris Talbott, Evelyn O. Rager, Judy |
author_facet | Talbot, Thomas O. Haley, Valerie B. Dimmick, W. Fred Paulu, Chris Talbott, Evelyn O. Rager, Judy |
author_sort | Talbot, Thomas O. |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2805787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-28057872010-01-22 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 Talbot, Thomas O. Haley, Valerie B. Dimmick, W. Fred Paulu, Chris Talbott, Evelyn O. Rager, Judy Air Qual Atmos Health Article 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. Springer Netherlands 2009-07-14 2009 /pmc/articles/PMC2805787/ /pubmed/20098503 http://dx.doi.org/10.1007/s11869-009-0043-1 Text en © Springer Science+Business Media B.V. 2009 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Article Talbot, Thomas O. Haley, Valerie B. Dimmick, W. Fred Paulu, Chris Talbott, Evelyn O. Rager, Judy 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2805787/ https://www.ncbi.nlm.nih.gov/pubmed/20098503 http://dx.doi.org/10.1007/s11869-009-0043-1 |
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