Georgia | 
If you look at this model, one wonders how you can square any indoor dining and bars with good basic public health. Opening up is conditioned on low community spread and tracing capacity, with numbers like this that’s impossible.
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New model from Georgia Tech. What’s the Covid risk from a crowd? If you’re in a group of 50 you have a: 84% chance of being with someone infected if you’re in Atlanta 98% chance if in Phoenix 94% chance if in Austin Essentially 100% if in Charleston https://covid19risk.biosci.gatech.edu/ pic.twitter.com/wOXMN4rllS
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Trump rallies = 55% infected when they get there, 100% infected when they leave.
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There are numerous jurisdictions including Phoenix, Jacksonville, Charleston, and St. Simons where even in a group of 10 you’re more likely than not in the presence of the virus.pic.twitter.com/fPlXE5YYMm
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Site won't load for me-is there a methodology explanation? Seems like a fascinating project!
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Do you happen to know how the model handles Virginia's unique city/county divisions? I live in Richmond, which isn't in Henrico or Chesterfield counties (separate entity between the two). The model doesn't include Richmond, and HC and CC each overtake part of the city on the map.
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There are a handful of other cities that don't appear to be on the Virginia map. I believe there are other states that use the same type of city/county dichotomy that VA does, but I'm not as familiar with them.
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The site is currently overloaded, but this looks like a great visualization tool!
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This Tweet is unavailable.
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This proves all crowds aren’t the same, so maybe BLM crowds are 0%.
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BLM rallies have been outdoors which makes major difference.
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