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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
How Sensors Might Help Define the External Exposome.
Miranda Loh1, Dimosthenis Sarigiannis2, Alberto Gotti3
1Institute of Occupational Medicine, Research Avenue North, Edinburgh EH14 4AP, UK. miranda.loh@iom-world.org.
Smart technologies offer new ways to measure environmental exposures, improving exposure science. While promising, careful consideration of their limitations is needed for epidemiology and risk studies.
Area of Science:
- Exposure Science
- Environmental Health
- Epidemiology
Background:
- The exposome concept is advanced by mobile technology, sensors, and the internet of things.
- Smart technologies like smartphone apps and wireless devices enable easier and more frequent exposure measurements.
- Downsized and lower-cost monitoring equipment expands possibilities in exposure science.
Purpose of the Study:
- To discuss the possibilities of using smart technologies for external exposome studies.
- To lay out criteria for the application of smart technologies in exposure research.
- To address the limitations and challenges associated with smart technologies in data collection.
Main Methods:
- Review of current smart technologies applicable to exposure science.
- Discussion of criteria for using smart technologies in external exposome studies.
- Analysis of limitations and challenges in accessing and utilizing personal data.
Main Results:
- Smart technologies offer promise for advancing exposure science, particularly for collecting exposure-factor data (location, activities).
- Environmental sensors for air pollutants, noise, and UV are becoming more reliable and accessible.
- Combining long-term exposure factor data with traditional measurements can enhance exposure modeling.
Conclusions:
- Smart technologies present significant opportunities for exposure science, but many are still developing.
- Careful consideration is required for their use in epidemiology and risk studies due to evolving nature and data challenges.
- The integration of smart technology data holds potential for comprehensive environmental exposure assessment.
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