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Comparison of personal exposure to black carbon levels with fixed-site monitoring data and with dispersion modelling and the influence of activity patterns and environment.

Olena GruzievaAntonios GeorgelisNiklas AnderssonChrister JohanssonTom BellanderAnne-Sophie Merritt
Published in: Journal of exposure science & environmental epidemiology (2024)
Short-term studies of health effects from ambient air pollution usually rely on fixed site monitoring data or spatio-temporal models for exposure characterization, but the relation to actual personal exposure is often not known. In this study we showed that both routine monitoring and modelled data explained less than 35% of variability in personal black carbon exposure. Hence, short-term health effects studies based on fixed site monitoring or spatio-temporal modelling are likely to be underpowered and subject to bias.
Keyphrases
  • air pollution
  • electronic health record
  • big data
  • cystic fibrosis
  • clinical practice
  • deep learning