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Ambient air pollution exposure assessments in fertility studies: A systematic review and guide for reproductive epidemiologists.

Johanna R JahnkeKyle P MessierMelissa E LoweAnne Marie Z Jukic
Published in: Current epidemiology reports (2022)
While air pollution exposure models have vastly improved over the past decade from simple, one-dimensional distance or air monitor data, to models that incorporate physiochemical properties leading to better predictive accuracy, precision, and increased spatiotemporal variability and resolution, the fertility literature has yet to fully incorporate these new methods. We provide descriptions of each of these air pollution exposure models and assess the strengths and limitations of each model, while summarizing the findings of the literature on ambient air pollution and fertility that apply each method.
Keyphrases
  • air pollution
  • particulate matter
  • lung function
  • systematic review
  • childhood cancer
  • big data
  • chronic obstructive pulmonary disease
  • cystic fibrosis
  • artificial intelligence