Here's a grab-bag of articles and links I've found interesting in the last few weeks:
The Hard Lessons of Modeling the Coronavirus Pandemic at Quanta
University of Washington's Institute for Health Metrics and Evaluation: front page | COVID-19
One bright data scientist doing his best, using machine learning: Interview | Projections | Path to Herd Immunity
I was quietly playing this game too last spring and summer, using genetic algorithms and GitHub data. It was... interesting, but not especially enlightening. Watching the weekly medical reporting cycle add a spike-and-dip to the numbers while listening to the media scream "we're all gonna die!" and "pandemic's over!" twice a week in time with medical data dumps was initially amusing, but mostly frustrating. I mean, isn't basic data smoothing when an obvious cycle is built into the reporting... obvious?
I guess not. Anyway, those last three links are the best analysis and forecasting I've seen lately.
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