Does anyone know of a reliable map of COVID-19 cases per capita in the United States (by state, county, or preferably both) that were diagnosed within the last N days (perhaps N=14 like the LA Times's California maps, but I'm not picky), to show how bad things are now-ish?
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It's debatable whether new cases by population gives an accurate picture or not, eg. it may say more about testing rate than about infection rate. I find ourworldindata.org/coronavir… to be a good big picture, but no state breakdowns.
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For state brakedowns I've been using rt.live. Eg. this one graph says a lot about CA IMHO.
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That graph a lot about southern California, but not a lot about northern California. More to the main question: how risk-averse people are depends on the actual risk, so higher R seems more likely when the risk is low. And I'd like to learn about relative risk between places.
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It's also relevant to things like the risk of allowing international travelers to come from a place. What matters there is mostly the chance that an individual traveler is infected now, not the trends where they're coming from.

Jun 24, 2020 · 3:18 PM UTC