Literature DB >> 11140440

The national exposure research laboratory's consolidated human activity database.

T McCurdy1, G Glen, L Smith, Y Lakkadi.   

Abstract

EPA's National Exposure Research Laboratory (NERL) has combined data from 12 U.S. studies related to human activities into one comprehensive data system that can be accessed via the Internet. The data system is called the Consolidated Human Activity Database (CHAD) and is available at http:// www.epa.gov/nerl/. CHAD contains 22,968 person days of activity and is designed to assist exposure assessors and modelers in constructing population "cohorts" of people with specified characteristics that are suitable for subsequent analysis or modeling. This paper describes the studies comprising CHAD and the various intellectual foundations that underlay the gathering of human activity pattern data. Next, it provides a brief overview of the Internet version of CHAD, and discusses how the program was formulated. Emphasis is placed on how activity-specific energy expenditure estimates were developed. Finally, the paper recommends steps that should be taken to improve the collection of activity data that would improve energy expenditure estimates and related information needed for physiologically based exposure dose modeling efforts.

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Year:  2000        PMID: 11140440     DOI: 10.1038/sj.jea.7500114

Source DB:  PubMed          Journal:  J Expo Anal Environ Epidemiol        ISSN: 1053-4245


  26 in total

1.  Time series analysis of personal exposure to ambient air pollution and mortality using an exposure simulator.

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Journal:  J Expo Sci Environ Epidemiol       Date:  2012-06-06       Impact factor: 5.563

2.  Modeling of In-vehicle PM(2.5) Exposure Using the Stochastic Human Exposure and Dose Simulation Model.

Authors:  Xiaozhen Liu; H Christopher Frey; Ye Cao; Bela Deshpande
Journal:  Proc Air Waste Manage Assoc Meet       Date:  2009-06

3.  Assessment of inter-individual, geographic, and seasonal variability in estimated human exposure to fine particles.

Authors:  Wan Jiao; H Christopher Frey; Ye Cao
Journal:  Environ Sci Technol       Date:  2012-11-07       Impact factor: 9.028

4.  Modeling of personal exposures to ambient air toxics in Camden, New Jersey: an evaluation study.

Authors:  Sheng-Wei Wang; Xiaogang Tang; Zhi-Hua Fan; Xiangmei Wu; Paul J Lioy; Panos G Georgopoulos
Journal:  J Air Waste Manag Assoc       Date:  2009-06       Impact factor: 2.235

5.  Geographic differences in inter-individual variability of human exposure to fine particulate matter.

Authors:  Ye Cao; H Christopher Frey
Journal:  Atmos Environ (1994)       Date:  2011-07-23       Impact factor: 4.798

6.  Time-location patterns of a population living in an air pollution hotspot.

Authors:  Xiangmei May Wu; Zhihua Tina Fan; Pamela Ohman-Strickland
Journal:  J Environ Public Health       Date:  2010-04-22

7.  Study of Use of Products and Exposure-Related Behaviors (SUPERB): study design, methods, and demographic characteristics of cohorts.

Authors:  Irva Hertz-Picciotto; Diana Cassady; Kiyoung Lee; Deborah H Bennett; Beate Ritz; Raea Vogt
Journal:  Environ Health       Date:  2010-08-29       Impact factor: 5.984

Review 8.  Exposure science: a view of the past and milestones for the future.

Authors:  Paul J Lioy
Journal:  Environ Health Perspect       Date:  2010-03-22       Impact factor: 9.031

9.  Refined ambient PM2.5 exposure surrogates and the risk of myocardial infarction.

Authors:  Natasha Hodas; Barbara J Turpin; Melissa M Lunden; Lisa K Baxter; Halûk Özkaynak; Janet Burke; Pamela Ohman-Strickland; Kelly Thevenet-Morrison; John B Kostis; David Q Rich
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-05-29       Impact factor: 5.563

10.  Statistical issues in health impact assessment at the state and local levels.

Authors:  Montserrat Fuentes
Journal:  Air Qual Atmos Health       Date:  2009-03-01       Impact factor: 3.763

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