The Latest in Public Health Research: Sources of On-Road Vehicle Emissions and their Impacts on Respiratory Disease Symptoms in California

Speaker: Jason Su, Associate Researcher, UC Berkeley School of Public Health

Dr. Jason Su will discuss his recent work on the impact of vehicle emissions on respiratory disease in California. Digital sensors fitted onto inhalers can capture the date, time, and location of rescue inhaler medication use (i.e., use of Short-Acting Beta Agonist for the acute relief of respiratory disease symptoms, referred to as SABA use here after) and identify activity space through sensor “heartbeats” — sensor checking into battery life every 3-4 hours with location information; thereby, offering an objective signal of respiratory disease symptoms and exposure space in real-time. The spatiotemporally rich data in SABA use, locations of activity space, and extensive information on environmental exposures; however, raise methodological challenges in modeling the impacts of environmental exposures on respiratory disease symptoms. Recent advances in artificial intelligence and machine learning techniques have boosted the potential of post-analyzing the high dimension patient data.
In this project, the University of California, Berkeley (UCB) first conducted a systematic review on the impacts from air pollution, including criteria air pollutants and non-exhaust trace metals on respiratory disease outcomes. Second, UCB developed daily land use regression models (res: 30m) and surfaces (res: 100) for criteria pollutants nitrogen dioxide (NO2), particulate matter with diameter less than 2.5 microns (PM2.5) and ozone (O3) for 2012-2019.

Register for this event

Event Contact: lhg@berkeley.edu
Access Coordinator: Lauren Goldstein, lhg@berkeley.edu, 510-664-7959