Comparison of Long-Term Air Pollution Exposure from Mobile and Routine Monitoring, Low-Cost Sensors, and Dispersion Models.
• Exposure predictions from the three algorithms were generally highly correlated and resulted in similar associations with health. No consistent differences were found in their model performances.
Authors
- Femke Bouma
- R. Jeroen Vermeulen (ORCID: https://orcid.org/0000-0002-3503-3625)
- Ulrike Gehring (ORCID: https://orcid.org/0000-0003-3612-5780)
- Jules Kerckhoffs (ORCID: https://orcid.org/0000-0001-9065-6916)
- Kees de Hoogh (ORCID: https://orcid.org/0000-0001-5974-2007)
- Wouter Hendricx (ORCID: https://orcid.org/0000-0002-9893-2062)
- S van Ratingen
- J. Wesseling (ORCID: https://orcid.org/0000-0002-3359-0962)
- Nicole Janssen (ORCID: https://orcid.org/0000-0002-3117-5984)
- Gerard Hoek (ORCID: https://orcid.org/0000-0003-3687-217X)
Institutions
- Swiss Tropical and Public Health Institute (CH)
- University of Basel (CH)
- Utrecht University (NL)
- University Medical Center Utrecht (NL)
- National Institute for Public Health and the Environment (NL)
Publication Details
- Journal
- PubMed
- Published
- 2025-03-01
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00