Tracking #COVID19: if you want to look at growth, it's log graphs that rule
https://www.nytimes.com/2020/03/20/health/coronavirus-data-logarithm-chart.html?smid=tw-nytimesscience&smtyp=cur … by @kchangnytpic.twitter.com/2LlO6REd8V
Science reporter at the New York Times. Pluto, dinosaurs, NASA, viral math & more...
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Tracking #COVID19: if you want to look at growth, it's log graphs that rule
https://www.nytimes.com/2020/03/20/health/coronavirus-data-logarithm-chart.html?smid=tw-nytimesscience&smtyp=cur … by @kchangnytpic.twitter.com/2LlO6REd8V
But some of this merely reflects the testing backlog. This kind of chart doesn't tell you that March 12th, the US tested 2300 people for the virus, but on March 19 there were over 27,400 people tested.
True. What's remarkable about this is that the exponential nature of the curve is robust despite all of complicating factors (spotty testing, different parts of the country, uneven response, people are weird individuals).
Because the growth of TESTS has been exponential! So of course so is our detection
Data to back that up? I highly, highly doubt that the number of tests has been doubling every three days.
5000 total tests to 100,000 total tests in 9 days. I didn't count exactly how many days it took for each doubling but it's gone up a lot sir
What, no more witty replies for me??? I was hopeful all Shabbat I would come back to at least some kind of response.
Saw a curve of the testing, and that does look exponential, so yes, that could play a part. It could be why the curve has gone upward the last few days and perhaps masking some underlying slowing. But I certainly don’t see reasons for an optimistic take yet. Hope I will.
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