PNAS Science Sessions

Author: PNAS

Welcome to Science Sessions, the PNAS podcast program. Listen to brief conversations with cutting-edge researchers, Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in PNAS, plus a broad range of scientific news about discoveries that affect the world around us.
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Air pollution and pet health
Monday, 24 November, 2025

Air quality and pet health Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us. In this episode, Stephen Jarvis explores the health impacts of poor air quality on pets. In this episode, we cover: •[00:00] Introduction •[00:51] Environmental economist Stephen Jarvis explains how he became interested in the effects of air quality on pets. •[01:59] He talks about the similarities in exposure between humans and pets, and introduces the veterinary dataset used in the study. •[03:30] Jarvis explains the results of the study and the potential physiological effects of poor air quality. •[05:40] He talks about the implications of reducing air pollution for petcare and the takeaway messages of the study. •[08:17] Jarvis explains the caveats and limitations of the study. •[09:14] Conclusion. About Our Guest: Stephen Jarvis Assistant professor London School of Economics View related content here: https://www.pnas.org/doi/10.1073/pnas.2504553122 Follow us on Spotify, Apple Podcasts, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs! Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the PNAS Highlights newsletter