Re:In 4 US state prisons, 3,300 inmates test positive, 96% w...
by _-___________-_ on Sunday April 26, 2020 @03:27AM
(#22985295)
Do note that rapid decline in the day-to-day increase of case numbers is not necessarily indicative of rapid decline in transmission rate. Transmission rate could have declined gradually over the course of a week or more, and the rapid decline in day-to-day increase of case numbers could have just been detection catching up with existing infections.
Re:In 4 US state prisons, 3,300 inmates test positive, 96% w...
by Retric on Sunday April 26, 2020 @09:37AM
(#22987043)
Their daily testing was reasonably consistent over that time period. So, their is some wiggle room, but it’s at minimum a 80% drop over 2 weeks. Compared to the US where daily numbers are steady for weeks with the last two days having the greatest number of detected cases.
Re:In 4 US state prisons, 3,300 inmates test positive, 96% w...
by rstuart4133 on Sunday April 26, 2020 @07:39PM
(#22991335)
I've given up on the USA numbers. There is no way an underlying exponential process is going to deliver you a near constant 30K new infections for nearly 4 straight weeks.
Something else is driving those numbers, and it ain't the actual number of new infections. For me the obvious candidate is they hits some testing limit.
Re:In 4 US state prisons, 3,300 inmates test positive, 96% w...
by pashamur on Monday April 27, 2020 @10:32AM
(#22996156)
You shouldn't think of it as one underlying exponential process though. It could be many overlapping and time-delayed S-curve type graphs which are additively causing a constant rate of infections.
Although it's also most certainly true that we're vastly undercounting the cases in most (if not all) areas.
Also, the number I have seen was ~1% of cases where asymptotic for 14 days. https://hub.jhu.edu/2020/03/09/coronavirus-incubation-period...