Lily Wang (Iowa State University) summarizes common infection models and differentiates between the strengths and weaknesses of statistical modelling vs mathematical modelling. She then breaks down her own team's forecasting model and the data outputs ("data products") that it provides. This is a great, visually-intuitive presentation, particularly for early-career data scientists looking to understand how experts might apply different tools to the same scientific phenomenon (and how the work doesn't end with fitting the model).
Watch it on…
YouTube: https://www.youtube.com/watch?v=GDO72o0Z6-k
Podbean: https://podofasclepius.podbean.com/e/how-do-you-forecast-the-spread-of-covid-19-with-lily-wang-pod-of-asclepius/
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Pod of Asclepius is sponsored by the ASA's Statistical Learning and Data Science Section, Medical Device and Diagnostics Section, and North Carolina Chapter.
Enjoy!
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Glen Wright Colopy
DPhil Oxon
Data Scientist at Cenduit LLC, Durham, NC
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