Here's the kicker: S Korea also has epistemic condition for reopening, and it's quantitative. 95% of infections must be *explainable*. Cases that can't be traced back to an infection source must make public health officials feel insecure about their control over the situation.
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Lots of talk about explainability in AI. I didn't expect that explainability would be important for public health. Let's compare S Korea reopening conditions with
@WhiteHouse
Opening Up America Again.
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@WhiteHouse
guidelines emphasize that testing capability is important. (Amen to measurement.) Beyond that the guidelines are qualitative and imprecise.
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US: "Downward trajectory ... within a 14-day period." I.e. it's fine if numbers are huge and decreasing very slowly; absolute numbers don't matter. S Korea: fewer than 50 new cases/day and fewer than 1,500 active cases under quarantine.
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Summary: S Korea has two quantitative targets for reopening, and an epistemic target of quantifiable explainability. We in the US have a long way to go.
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