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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
The national exposure research laboratory's consolidated human activity database
1Office of Research and Development, US Environmental Protection Agency Research Triangle Park, North Carolina 27711, USA. mccurdy.thomas@epa.gov
Journal of Exposure Analysis and Environmental Epidemiology
|January 5, 2001
Summary
The Consolidated Human Activity Database (CHAD) integrates 12 U.S. studies on human activities. This resource aids exposure assessors by providing detailed activity patterns for improved energy expenditure estimates in modeling.
Area of Science:
- Environmental Health
- Exposure Science
- Data Science
Background:
- Human activity patterns are crucial for accurate exposure assessment and dose modeling.
- Existing data were fragmented across multiple studies, limiting comprehensive analysis.
- The Environmental Protection Agency (EPA) recognized the need for a unified data system.
Purpose of the Study:
- To consolidate data from 12 U.S. human activity studies into a single, accessible database.
- To describe the methodology and intellectual foundations behind the data collection and system development.
- To detail the development of activity-specific energy expenditure estimates within the database.
Main Methods:
- Integration of data from 12 diverse U.S. human activity studies.
- Development of the Consolidated Human Activity Database (CHAD) accessible via the Internet.
- Formulation of methods for calculating activity-specific energy expenditure estimates.
Main Results:
- Creation of CHAD, containing 22,968 person-days of human activity data.
- Established a comprehensive data system to support exposure assessors and modelers.
- Detailed the process for estimating energy expenditure based on specific human activities.
Conclusions:
- CHAD provides a valuable resource for exposure assessment and physiologically based dose modeling.
- Recommendations are made for improving future human activity data collection.
- Enhanced data collection will lead to more accurate energy expenditure estimates and improved exposure modeling.
