Of possible explanations a) The dog tipped the trash can over, or b) Someone broke into the house and sorted through the trash can, explanation “a” is more likely.
Posted on 03/27/2020 9:27:41 AM PDT by Mariner
Yesterday's thread here:
http://freerepublic.com/focus/chat/3828581/posts?page=1
So is Chevy’s career.
Nice find. Pink eye. Yes. That’s the weird redness I saw develop in the eyes of someone sick with something. That was about a month ago. Now we have covid in town. Although that was inevitable. My guess is people who are infected through the eye, will develop the pink eye long before other symptoms. Those infected through nasal cavity may develop it later in the disease progression.
GMTO. Since the beginning I was reminded of this series. Hmmmm.
if enough people become ill to require hospitalization / ICU units / intubation, then medical facilities become swamped, crowding out other sick people and making medical professionals sick too.
Wipe that Panda jizz off your chin.
What was the CFR rate in Italy from H1N1?
Troll-boi.
Bmk
New Orleans had Mardi Gras and (presumably) a disproportionate occurrence of close personal contact.
There is nothing like a catastrophe to focus the mind.
Of course, for those without..
Careful; I’ve read that steroids actually make the lung issues worse.
That was ~10 days ago so I no longer have the link.
Of COURSE I recommend you do your own original research on it.
Not being an expert in epidemiology, I don’t know what R0 even refers to. Barring you or exdemmom explaining, I’ll presume it’s the point of inflection she keeps referring too where the infection rate starts to drop off.
As for engineering applications, I’m not expecting this epidermic to have regular periodic. As a matter of fact, it includes human behaviors with no real good models at all. If you trace back the conversation it started with ‘don’t try to extrapolate from interpolation solutions’. I did not suggest Fourier analysis. I suggested a low order Fourier fit might model the long term epidemic rise and fall.
Maybe you can do a better job of explaining how fitting the daily infection rate is going to provide a prediction of future rates than exdemmom. Seems to me you can’t predict until the inflection point has occurred or slightly after since R isn’t going to exponential until then. So you can collect data for a model to be used next time, but this model doesn’t get one to prediction all by itself.
As to apologies, I think I was about as polite and explanatory as one could be. And exdemmom was given every opportunity to ‘carry on’.
We are going to need good metrics to determine the best procedures to save lives and the economy. One such metric would be a bias function that allows different cities to properly compare infection rates with their testing rates normalized.
Anyone who ever worked for the FDA should be sent to Qom.
Those bats in China have thousands of viral species. Most harmless to humans. The number one bat expert in China, actually thought one of her lab viruses escaped after she was yanked out of a conference and put on fast train to Wuhan. You can have a natural virus escape a lab ya know.
Of possible explanations a) The dog tipped the trash can over, or b) Someone broke into the house and sorted through the trash can, explanation “a” is more likely.
Wonder what portion of those DP unresolved are currently on ventilators ?
Chris from peak progress estimated they were 1 to 2 factors off. Your posted estimate is in that ballpark. On the low side. Lol.
I just blame it on auto correct. Lol.
That’s a good point that actually contradicts the position of going back to work. People untested who feel weak or have a mild cold go back to work ? Obviously everything is a gamble now until everyone outside working is masked and gloved and goggled. Healthcare workers also need face shields. Everyone needs sealed goggles.
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