Systems Science Friday Noon Seminar Series
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Date
10-29-2021
Abstract
COVID-19 has engulfed the planet and decision-makers are dealing with a situation that affects life in extreme proportions. Unfortunately, the virus has given many twists and turns and isn't done yet. This seminar will describe the modeling approach used for a model in Oregon and describe some of the key assumptions needed to provide a glimpse into the future.
Biographical Information
Dr. Graven is the Director of the Office of Advanced Analytics and Lead Data Scientist in OHSU’s Business Intelligence and Advanced Analytics Unit. Graven has a PhD in health economics and applies those modeling skills to build predictive and forecasting models as well as conduct advanced analytics to support quality improvement operations at the OHSU Health. Additionally, as Affiliate Assistant Professor in the OHSU-PSU School of Public Health, Graven teaches health economics and provides mentorship to students in the masters and PhD programs. Since the beginning of the pandemic, Graven has been modeling expected coronavirus hospitalizations and other leading indicators on a weekly basis.
Subjects
COVID-19 (Disease) -- United States -- Health care, Computational modeling, Communicable diseases -- Epidemiology -- Mathematical models
Disciplines
Systems Science
Persistent Identifier
https://archives.pdx.edu/ds/psu/36893
Rights
© Copyright the author(s)
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Recommended Citation
Graven, Peter, "It's Mostly Assumptions: Modeling a Pandemic" (2021). Systems Science Friday Noon Seminar Series. 101.
https://archives.pdx.edu/ds/psu/36893