R-Ladies Miami Meetup, May 28th 2020
The extended abstract of the presentation was loosely followed. Here is the presentation mind-map:
(Note that mind-map’s PDF has hyperlinks. Also, see the folder Presentation-aids. )
The organizers and I did a poll for what people want to hear. After discussing the results of the 15 votes from that poll we decided the presentation to be a methodological one instead of a know-how one.
Approximately 30% of the presentation was based on the R-project “COVID-19-modeling-in-R”, [AA1].
Approximately 30% of the presentation was based on an R-programmed software monad for epidemiology compartmental models, ECMMon-R, [AAr2].
For the rest were used frameworks, simulations, and graphics made with Mathematica, [AAr1].
The presentation was given online (because of COVID-19) using Zoom. 90 people registered. Nearly 40 showed up (and maybe 20 stayed throughout.)
Here is a link to the video recording.
Here are screenshots of statistics used in the introduction:
[Wk1] Wikipedia entry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
[Wk2] Wikipedia entry, Coronavirus disease 2019.
[Wk3] Wikipedia entry, Compartmental models in epidemiology.
[Wk4] Wikipedia entry, System dynamics.
[KS1] Karline Soetaert, Thomas Petzoldt, R. Woodrow Setzer, “deSolve: Solvers for Initial Value Problems of Differential Equations (‘ODE’, ‘DAE’, ‘DDE’)”, CRAN.