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Prediction of daily mean and one-hour maximum PM 2.5 concentrations and applications in Central Mexico using satellite-based machine-learning models.

Iván Gutiérrez-AvilaKodi B ArferDaniel CarriónJohnathan RushItai KloogAaron R NaegerMichel GrutterVíctor Hugo Páramo-FigueroaHoracio Riojas-RodríguezAllan C Just
Published in: Journal of exposure science & environmental epidemiology (2022)
predictions can aid local authorities in air-quality management and public-health surveillance, and they can advance epidemiological research in Central Mexico with state-of-the-art exposure assessment methods.
Keyphrases
  • public health
  • machine learning
  • particulate matter
  • blood pressure
  • air pollution
  • physical activity
  • global health
  • artificial intelligence
  • heavy metals
  • big data
  • polycyclic aromatic hydrocarbons