ISU ReD: Research and eData - Annual Symposium on Biomathematics and Ecology Education and Research: Improving infectious disease predictions through the use of metapopulation SIR modeling and graph convolutional neural networks

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Poster Session

Improving infectious disease predictions through the use of metapopulation SIR modeling and graph convolutional neural networks

Petr Kisselev, Thomas Jefferson High School for Science and TechnologyFollow
Padmanabhan Seshaiyer, George Mason UniversityFollow

Type of Presentation

Poster Presentation

Location

CGU Math North

Start Date

8-11-2024 8:00 PM

End Date

8-11-2024 9:30 PM

Seshaiyer_Petr_Kisselev_BEER_Poster.pptx (2659 kB)

Included in

COVID-19 Commons, Epidemiology Commons, Numerical Analysis and Scientific Computing Commons, Ordinary Differential Equations and Applied Dynamics Commons

COinS

Nov 8th, 8:00 PM Nov 8th, 9:30 PM

Improving infectious disease predictions through the use of metapopulation SIR modeling and graph convolutional neural networks

CGU Math North