chemisttree
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My point only was that you have to exclude a massive set of data (Hubei) to make sense of it. What part of the data are you modeling that gives you the 10K cases before the first fatality? Does it include or exclude Hubei?OmCheeto said:By GIGO, do you mean "garbage in, garbage out"?
Is so, I'm not sure I understand.
With the exception of Hubei, their numbers became virtually indistinguishable from the rest of the world, about a week ago. And as I mentioned, in my simulation, 10,000 people would have been infected when the first death occurred, which would explain why Hubei's numbers are still quite a bit off from just about everyone. I do find a few locations in China suspicious, as they have a lot of confirmed cases, but still no deaths.
Zhejiang is one in particular I've been curious about.
1175 confirmed613 recovered0 deaths
I think the R0 is very fluid. When the virus is imported in large numbers by quite mobile carriers into new areas its R0 is likely much lower than in a region where it was allowed to gain a massive foothold and overwhelm any systems of control. Also, I haven’t seen this discussed but perhaps it is possible that the highly mobile portion of the population might have very different demographics than those that chose to stay behind in Wuhan. Perhaps younger and with milder symptoms and so the R0 of the virus in that more mobile cohort is significantly less than for Wuhan.
There is kind of a strange symmetry with the cases outside of China. There are the cases on the “Princess Corona” and there is the rest of the world.