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Collection of Time Activity Data to Support Exposure Assessment: Protocol for a Systematic Evidence Map
Elizabeth A Chatpar1, Iman Habib1, Lori Rosman2
1Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
This study introduces a systematic protocol to map how Time Activity Data (TAD) is used in environmental health research. It aims to create a database and evidence map to guide future exposure assessments.
Area of Science:
- Environmental Health Sciences
- Exposure Science
- Public Health Research
Background:
- Time Activity Data (TAD) quantifies human activities, crucial for estimating environmental agent exposure.
- Existing literature lacks a systematic characterization of TAD collection methods in environmental health.
- Understanding TAD collection is vital for accurate exposure assessment in diverse contexts.
Purpose of the Study:
- To systematically map the environmental health literature that collects TAD for exposure estimation.
- To propose a novel definition for TAD and identify its collection methodologies.
- To create a comprehensive resource for researchers investigating environmental exposures.
Main Methods:
- Developing a systematic evidence map protocol based on Population-Exposure-Method (PEM) criteria.
- Implementing a detailed search strategy targeting environmental exposure studies.
- Utilizing a codebook and reflexive journaling for iterative methodological refinement and data categorization.
Main Results:
- An open-source database of studies collecting TAD will be produced.
- A systematic evidence map will visually represent patterns, trends, and gaps in TAD collection.
- The findings will highlight how TAD has been used to estimate various environmental exposures.
Conclusions:
- The evidence map and database will serve as valuable tools for environmental health researchers.
- This work will inform future research by identifying prominent themes and specific studies in TAD collection.
- It aims to enhance the rigor and consistency of exposure estimation in environmental health studies.
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