Rt Covid-19 - See how quickly #COVID19 is growing in each US state

Wow, this is amazing! I read a bit the blog articles, and math behind in the Jupyter Notebook. Makes me want to learn stats again. Thanks for sharing :) When doing decision making, choosing the right KPI is key. Too many numbers and you fast don't know what to do. The proposed Rt metric makes sense to me.

This is great and exactly what we need right now to keep everyone in the loop!

user

Love that the whole thing is a python notebook when Kevin first shared it a week and half ago or so 😃 Might love this main screenshot/graph with Mike and Kevin more hahahaha— I'm guessing that's a not a post-SIP photo @mike_krieger?

Can't see how any updates or non-updates to the volume of testing will not affect this models accuracy

Pros: Better initiative Cons: Only for USA? :(

if Rt is calculated off the back of the number of reported infection growth since day '0' , then this models accuracy will be affected by the numbers tested. To reach an Rt value in lieu of low testing numbers an assumptions, compensation or extrapolation would need to have entered to model and therefore render it open to inaccuracies. I would not use the outputs form the model to make any serious decisions.

I would love to see this data overlaid on an Esri Story map to see correlation between the Rt values and other values like, income, primary political party, etc.

Very interesting and thank you for sharing the Jupyter notebooks, interesting to get a look at the modeling behind it.

Great initiative. Well Done Guys.