What are the best exploratory models of COVID? Strictly for pedagogical familiarity. Like, Schelling's model isn't actually a good one for most observed patterns of segregation, but you can learn important segregation dynamics from it. What's the COVID equivalent?
I feel like this is kicking the behive a bit but I don't intent to. I just mean, it's been a while now; a lot of people have tried to understand with their tools; and, some of these tools are open. Which one seems best? [Even excel is fine if it conveys something critical well]
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Are you familiar with SEIR models? That would be the most basic model for something like this...
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Yea from way back when. Should have been more specific and said pre-adapted though. Like I’m hoping for something like covid.netlogo
End of conversation
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Bayesian structural time series versions of SEIR differential equation models. Particularly for the US it’s important to model the uncertainty in the data. The geographical heterogeneity in non-pharma treatments is also important, eg Bay Area vs New York vs New Orleans.
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