COVID-19 Epidemic Mitigation via Scientific Machine Learning (SciML)
July 7 2020 in Differential Equations, Julia, Mathematics, Programming, Science, Scientific ML | Tags: covid-19, epidemic modeling, scientific machine learning, sciml | Author: Christopher Rackauckas
Chris Rackauckas
Applied Mathematics Instructor, MIT
Senior Research Analyst, University of Maryland, Baltimore School of Pharmacy
This was a seminar talk given to the COVID modeling journal club on scientific machine learning for epidemic modeling.
Resources:
https://sciml.ai/
https://diffeqflux.sciml.ai/dev/
https://datadriven.sciml.ai/dev/
https://docs.sciml.ai/latest/
https://safeblues.org/
scott
says:Hi, do you have a white paper or write up of this?
Thanks,
Scott
Christopher Rackauckas
says:Hey, not for all of it yet. The universal differential equation method is described here. SafeBlues has a whitepaper up, COEXIST is getting a submission together very soon, and the SciML COVID diagnostics is getting submitted tonight. So it’s all wrapping up as I type this.