A novel methodology for using light-scattering sensors to measure indoor particulate matter in a multi-site clinical trial
measurement reliably and accurately in the context of a research trial using low-cost, light-scattering sensors. The framework we describe in this methods paper can serve as a model for future environmental health research studies.
Authors
- David Jones
- Ethan S. Walker (ORCID: https://orcid.org/0000-0002-4405-8568)
- Linda Y. Fu (ORCID: https://orcid.org/0000-0002-5649-5167)
- Taylor Stewart (ORCID: https://orcid.org/0000-0001-6207-7466)
- Erin O. Semmens (ORCID: https://orcid.org/0000-0003-0531-7659)
- Kelly Cowan (ORCID: https://orcid.org/0000-0001-8204-5680)
- Sara Cox
- Cindy S. Leary (ORCID: https://orcid.org/0000-0002-3287-1236)
- Jennifer Faiella
- Laurie Chassereau
- Paul Smith (ORCID: https://orcid.org/0000-0001-8330-6619)
- Jeannette Y. Lee
Institutions
- University of Vermont (US)
- Office of the Director (US)
- Division of Program Coordination Planning and Strategic Initiatives (US)
- University of Montana (US)
- University of Arkansas for Medical Sciences (US)
Publication Details
- Journal
- Discover Environment
- Published
- 2026-03-31
- DOI
- https://doi.org/10.1007/s44274-026-00671-x
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Louisiana State University
- Dartmouth College
- University of Montana
- University of South Carolina
- Children’s Hospital of Wisconsin Research Institute
- National Institutes of Health
- National Institute of General Medical Sciences