Updated March 25.
Although I’m not an expert on pandemic analysis, I am naturally following the COVID-19 data as best I can. And because I always understand data better when I make the figures myself, I’ve been making and looking at COVID-19 trend data, and sharing it as I go.
The figures below are the latest I made as of March 18 25 29, but you can click on the images to link to the current version. The figures, as well as data files and code, are in an Open Science Framework project, here: osf.io/wd2n6/, under CC0 license (free to use for any purpose). The project updates automatically as I go, but these figures won’t (because this is an old fashioned blog).
First, across countries:
For this one, to put the diverse US in perspective, in included US states in addition to selected countries. These are deaths.
State cases and deaths, per capita:
Finally, one with commentary: The first month, in numbers and Trump’s winning words:
Family Inequality 
Good stuff. Thanks.
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Reblogged this on Project ENGAGE.
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Thanks for sharing, this great.
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I imagine that family and household patterns play at least small role in the cross-country variation. E.g., something like a third of all Italians between the ages of 18 and 34 live with their parents. Many also interact with grandparents. Infected young people with no symptoms may have their elderly loved ones. Conversely, in Sweden, where rates remain comparably low, there are a lot of single person households.
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It’s also notable, I think, that the Swedish and the Japanese are known as formal cultures — whereas the Italians, much the opposite.
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Thank you for sharing this!!
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Have you graphed growth rates of the virus vs. political leanings by state? It looks like Republican states might be having more trouble, barring New York.
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