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Published Papers

Peer-Reviewed Papers Using CanOSSEM

  • Cleland, S. E., Paul, N., Coker, E. S., & Henderson, S. B. (2025). The Co-occurrence of Wildfire Smoke and Extreme Heat Events in British Columbia, 2010–2022: Evaluating Spatiotemporal Trends and Inequities in Exposure Burden. ACS ES&T Air2(3), 319–330.
  • Coker, E. S., Cleland, S. E., McVea, D., Stafoggia, M., & Henderson, S. B. (2025). The synergistic effects of PM2.5 and high temperature on community mortality in British Columbia. Npj Clean Air1(1).
  • Saucier, D., Mathieu Bélanger, Liu, Z., Lavigne, E., & O’Connell, C. (2025). Associations between long-term air pollution exposure and the development of amyotrophic lateral sclerosis: A matched case-control study. Environmental Research, 122232–122232.
  • Lan, Q., Weinberger, K., Luke, S., Lavigne, E., Weichenthal, S., & Henderson, S. B. (2024). Wildfire Seasons, Prenatal PM2.5 Exposure, and Respiratory Infections by Age 1 Year: A Population-Based Case-Control Analysis of Critical Developmental Windows. ACS ES&T Air1(11), 1483–1494.
  • Adibi, A., Barn, P., Shellington, E. M., Harvard, S., Johnson, K., & Carlsten, C. (2023). HEPA Air Filters for Preventing Wildfire-related Asthma Complications, a Cost-Effectiveness Study. American Journal of Respiratory and Critical Care Medicine.
  • Paul, N., Yao, J., McLean, K. E., Stieb, D. M., & Henderson, S. B. (2022). The Canadian Optimized Statistical Smoke Exposure Model (CanOSSEM): A machine learning approach to estimate national daily fine particulate matter (PM2.5) exposure. Science of the Total Environment850, 157956.