For #COVID19, the R0 has been estimated to be roughly 2.5-3 in most populations, although the CDC estimated that in VERY early days in China the number may have been as high as 5.7pic.twitter.com/RuFJATTngk
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It's also RETROSPECTIVE, which means you can only have a decent idea of R a few days or even a week after the fact (this is based on the serial interval) New infections tomorrow means that the R may be higher today than you thought!
All of this is why it is very hard to see how you could base fast-moving policy decisions on R (it's also a bit of a pain to calculate)
If you ARE going to use R as a metric on which to base policy, it's probably a good idea to include a bunch of other metrics as well This is a good thing - more data is always useful!
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