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C3.ai Digital Transformation Institute Colloquium on Digital Transformation Science Webinar

Event Type
Lecture
Sponsor
C3.ai Digital Transformation Institute
Virtual
wifi event
Date
Sep 3, 2020   3:00 pm  
Speaker
Zoi Rapti, Associate Professor of Mathematics University of Illinois at Urbana-Champaign
Registration
Registration
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Originating Calendar
NCSA-related events

Zoi Rapti, from the University of Illinois at Urbana-Champaign, will present "Metapopulation and Age-Structured Epidemic Models for the COVID-19 Pandemic" on Thursday, September 3 at 3:00 p.m. via Zoom. Registration is required to attend this webinar.

In this colloquium, Zoi Rapti will first address the issue of parameter identifiability from reported data, such as confirmed cases and deaths. Parameter identifiability analysis is used to determine whether unknown parameters in ordinary differential equation models can be determined from the available data. She will then introduce age-structured and spatial (metapopulation) models for the spread of COVID-19, demonstrating that in some multi-group models that are structured by age, the basic reproductive number of each group is smaller than the basic reproductive number of the entire community. Hence, in most cases, it is not informative to consider separately groups that are known to interact, as this may underestimate the overall severity of the outbreak. In metapopulation models, she will show how traffic data is used in mobility models of epidemic spread. Rapti’s talk represents joint work of a research team that includes Eleftheria Kontou (Civil and Environmental Engineering, University of Illinois, Urbana-Champaign), Yannis Kevrekidis (Chemical and Biomolecular Engineering & Applied Mathematics and Statistics, Johns Hopkins University), and P. G. Kevrekidis (Mathematics and Statistics, University of Massachusetts at Amherst).

The Colloquium on Digital Transformation is a series of weekly online talks on how artificial intelligence, machine learning, and big data can lead to scientific breakthroughs with large-scale societal benefit. The summer/fall series focuses on COVID-19 mitigation research.

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