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A qualitative characterization of meso-activity factors to estimate soil exposure for agricultural workers.

Sara N LupoltJacqueline AgnewGurumurthy RamachandranThomas A BurkeRyan David KennedyKeeve E Nachman
Published in: Journal of exposure science & environmental epidemiology (2022)
We propose a novel classification of activity pattern data that links macro and micro-activities through the quantification and characterization of meso-activities and demonstrate how the application of our qualitative framework improves soil exposure estimation for agricultural workers. These methodological advances may inform a more rigorous approach to the evaluation of pesticide and other chemical and biological exposures incurred by persons engaged in the cultivation of agricultural commodities in soil.
Keyphrases
  • risk assessment
  • heavy metals
  • climate change
  • human health
  • machine learning
  • deep learning
  • systematic review
  • air pollution
  • big data
  • artificial intelligence
  • data analysis