John Burn-Murdoch
+ Your AuthorsArchive @jburnmurdoch Stories, stats & scatterplots for @FinancialTimes | Daily updates of the coronavirus trajectory tracker | [email protected] | #dataviz Oct. 01, 2020 1 min read

Tidied up a chart from the new Indian study that I think does a great job of showing what we mean by super-spreading:

Vast majority of confirmed cases don’t go on to infect anyone else; a small number of people account for the majority of transmission

 https://science.sciencemag.org/content/early/2020/09/29/science.abd7672 

This is why the Japanese approach of avoiding the three Cs (enClosed spaces, Crowded spaces, Close contact) has been so effective.

Even if someone is highly infectious, you hugely constrain the amount of spreading they can do if you limit the number of people they’re mixing with

We still don’t know exactly what causes super-spreading. Is it mainly that someone is especially infectious, or mainly that a moderately infectious person spends time in an enclosed & crowded space while infectious?

Whatever the answer is, avoiding the 3Cs can only help.

One of the best pieces on this was @kakape’s story here for @ScienceMagazine  https://www.sciencemag.org/news/2020/05/why-do-some-covid-19-patients-infect-many-others-whereas-most-don-t-spread-virus-all 


You can follow @jburnmurdoch.



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