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I seem to be hitting trying to read this. Can someone help summarize the results of this analysis?


The core result is

> Simulating from 1 January, we obtained 108,689 (95% PPI: 1,023 to 14,182,310) local infections cumulatively in the United States by 12 March (Fig. 1A).

What that means is that they don't really know - that confidence interval is absurd - but they have reason to think there could have been 100k Americans with the coronavirus on March 12.


Results with such confidence intervals should not be allowed to be published.

As if we don't have enough fake news/hype going around.


I don't understand the comments on this thread that seem to want to suppress preliminary data about COVID.

Sure, the confidence interval is ridiculously large but the paper is open about its methods and conclusions. It's definitely in the "more work is needed" category, but I don't see how this information should not be published.


Who’s the gatekeeper we trust to decide what can and can’t be published?


100k was estimated to be infected by early March.




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