State detail pages give you a closer look into what's actually going on. Take Arizona, for instance: https://rt.live/us/AZ You can see that reopening lines up almost exactly with a pivot in implied infections
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Also, if you're interested we've open-sourced the model and you can see how it works here:https://github.com/rtcovidlive/covid-model …
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We appreciate the updates and info
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Thank you for doing this work and providing this resource.
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Great work
@kevin! But man, NV and MT look scary!Thanks. Twitter will use this to make your timeline better. UndoUndo
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Do you have RT rates for other countries with your model?
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Why did the range for all states broaden since two weeks ago? And does that make the estimate last stable? Many states teeter on the Rt 1 line.
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It’s an artifact of the Bayesian model. There are many more curves that can fit the cases we’re seeing because of the infection->report delay is random. It’s possible the line is higher or lower and we just haven’t seen those ppl reported yet
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Thank you!
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Hey Kevin, NY looks to be consistently below 1.0 since 3 months ago to now. Shouldn’t we expect Rt for NY to be way higher when the cases were rapidly increasing there earlier?
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Reported cases is a lagging indicator of actual infections so you should expect Rt to go below 1 before cases decline
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