Last Saturday I gave a presentation at Orlando Machine Learning and Data Science (OMLDS) Meetup.

The presentation abstract heavily borrowed descriptions and plans from a similar presentation to be given for the useR! Boston Meetup in April.

This presentation was almost entirely based on frameworks, simulations, and graphics made with Mathematica.

For some parts Wolfram System Modeler was used.

Here is the (main) presentation mind-map:

(Note that mind-map's PDF has hyperlinks.)

The presentation was given online (because of COVID-19) using Zoom. The maximum number of people registered, 100. (Many were "first timers.") Nearly 60 showed up (and stayed throughout.)

Here is a link to the video recording: https://youtu.be/odcoi9stYuY .

References

General

[CDC1] https://www.cdc.gov/coronavirus/2019-ncov .

[WRI1] Wolfram Research, Inc. "Resources For Novel Coronavirus COVID-19", (2020) Community.wolfram.com.

Articles, blog posts

[AA1] Anton Antonov, "Coronavirus propagation modeling considerations", (2020), SystemModeling at GitHub.

[AA2] Anton Antonov, "Basic experiments workflow for simple epidemiological models", (2020), SystemModeling at GitHub.

[AA3] Anton Antonov, "Scaling of Epidemiology Models with Multi-siteCompartments", (2020), SystemModeling at GitHub.

[AA4] Anton Antonov, "NY Times COVID-19 data visualization", (2020), SystemModeling at GitHub.

Videos

[AAv1] Anton Antonov, COVID19 Epidemic Modeling: Compartmental Models, (2020), Wolfram YouTube channel.

[AAv2] Anton Antonov, Scaling of Epidemiology Models with Multi-site Compartments, (2020), Wolfram YouTube channel.

[AAv3] Anton Antonov, Simple Economic Extension of Compartmental Epidemiological Models, (2020), Wolfram YouTube channel.

[DZv1] Diego Zviovich, Geo-spatial-temporal COVID-19 Simulations and Visualizations Over USA, (2020), Wolfram YouTube channel.