Estimating Indoor Transmission Risks of SARS-CoV-2

New York / New Jersey Education and Research Center

April 13, 2021, 7:00:00 PM

12 - 1 PM PT | 2 - 3 PM CT | 3 - 4 PM ET

Speaker(s)

Brian Pavilonis, PhD, CIH

Dr. Brian Pavilonis is a Certified Industrial Hygienist who has been working in occupational health and exposure science since 2012. Dr. Pavilonis joined the CUNY SPH faculty in 2014 as an Assistant Professor. Prior to CUNY SPH, Dr. Pavilonis was a Post-doctoral fellow at Rutgers University in the Exposure Science Division after earning his PhD at the University of Iowa in Industrial Hygiene in 2012. At CUNY SPH, Dr. Pavilonis has developed and taught courses in Industrial Hygiene, Noise and Radiation and Industrial Ventilation. In 2016, he was named Industrial Hygiene Program Director for the NY/NJ NIOSH ERC. His research aims to understand human exposure in the occupational environment and characterize risk due to exposure.

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About the webinar:

As schools and businesses reopen around the U.S., quantitative infection risk assessment can be used in the decision-making process. This presentation will explore two case studies where the Wells-Riley model was used to calculate SARS-CoV-2 transmission risk estimates. Based on previously collected data, risk estimates were calculated for nail salons and public schools located in New York City under different exposure scenarios. Learners will review the data necessary to conduct a quantitative infection risk assessment using the Wells-Riley model as well as the strengths and limitations of this approach.

You can also view the full text articles online:

An estimation of airborne SARS-CoV-2 infection transmission risk in New York City nail salons: https://journals.sagepub.com/doi/full/10.1177/0748233720964650

Estimating aerosol transmission risk of SARS-CoV-2 in New York City public schools during reopening: https://www.sciencedirect.com/science/article/pii/S0013935121000992

Learning Objectives:

At the completion of this activity, the learner will be able to:

- Explain the mechanisms of SARS-CoV-2 transmission
- Identify the data necessary to conduct a quantitative infection risk assessment using the Wells-Riley model
- Apply the Wells-Riley model to estimate the risk of SARS-CoV-2 transmission

Accessibility:

If you require an accommodation for effective communication (ASL interpreting/CART captioning, alternative media formats, etc.) to fully participate in this event, please contact Michelle Meyer at (510) 642-8365 or mmeyer@berkeley.edu with as much advance notice as possible and at least 7-10 days in advance of the event.