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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.

Talbot TO, Haley VB, Dimmick WF, Paulu C, Talbott EO, Rager J - Air Qual Atmos Health (2009)

Bottom Line: 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.Another challenge will be to develop C-R estimates which take into account time, space, or other relevant effect modifiers.

View Article: PubMed Central - PubMed

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Interaction among the EPHT air quality and health data, simple air and health indicators, linked air–health analyses and indicators, Census data, and external C-R functions
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Related In: Results  -  Collection


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Fig1: Interaction among the EPHT air quality and health data, simple air and health indicators, linked air–health analyses and indicators, Census data, and external C-R functions

Mentions: Figure 1 summarizes the interaction among the EPHT air quality and health data, simple air and health indicators, linked air–health analyses and indicators, Census data, and external C-R functions. The EPHT analyses are shown to focus on identifying temporal, geographic, demographic differences in C-R functions which would provide additional information to reduce the bias in the local health impact indicators.Fig. 1


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 TO, Haley VB, Dimmick WF, Paulu C, Talbott EO, Rager J - Air Qual Atmos Health (2009)

Interaction among the EPHT air quality and health data, simple air and health indicators, linked air–health analyses and indicators, Census data, and external C-R functions
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2805787&req=5

Fig1: Interaction among the EPHT air quality and health data, simple air and health indicators, linked air–health analyses and indicators, Census data, and external C-R functions
Mentions: Figure 1 summarizes the interaction among the EPHT air quality and health data, simple air and health indicators, linked air–health analyses and indicators, Census data, and external C-R functions. The EPHT analyses are shown to focus on identifying temporal, geographic, demographic differences in C-R functions which would provide additional information to reduce the bias in the local health impact indicators.Fig. 1

Bottom Line: 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.Another challenge will be to develop C-R estimates which take into account time, space, or other relevant effect modifiers.

View Article: PubMed Central - PubMed

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus