Posted on 01/27/2020 4:20:36 PM PST by 11th_VA
Steve’s the man !!!
China’s Statistics for this morning are late - May be release 8 PM EST
(Excerpt) Read more at m.youtube.com ...
BNO Newsroom
@BNODesk
BREAKING: French officials confirm a 4th case in the country; while a first presumptive case in British Columbia, Canada has been confirmed in Vancouver
Interesting - and it seemingly contradicts the information given just above it in the same article. Maybe the currency used was a particularly heavily calendared paper?
https://en.wikipedia.org/wiki/Calendering_(textiles)
Then a coating of mucus that dried quickly might give further protection - just a guess. Or maybe it was just that particular virus? Hmmm.
Then, there is this:
“U.S. bills may not be as hospitable to the germs as other currency”
https://blogs.scientificamerican.com/news-blog/dirty-money-can-the-flu-be-passed-o-2009-01-05/
How paper money works with coronaviruses doesn’t seem to be well published?
At any rate — wash those hands... :-)
UK Foreign Office warns against all but essential travel to mainland China amid coronavirus outbreak
Cold doorknobs can hold it for several days.
If you like I can provide some sort of way for you to grab it.
I’m not doing the broad data capture that was suggested.
I am taking the Johns Hopkins data and archiving it, as often as I can when I detect a change.
The fields I am capturing are the total infections, the mortality and recovered numbers.
I’m also capturing the individual nation totals on the left in that window, so I can review the direction each one is headed.
I have worked out the numbers, and the percentages of changes, as well as what each nation’s slice of the pie (so to speak) is.
Since I can’t say I’ll capture each change, I have provided an option to change the determination of the period I wish to see percentage changes in. Up at the top of the column, I will be able to enter 1-?, to determine the percentage of change for just the period I want. If I were to enter three, all entries in that column would show changes or each entry based on the figures back three entries.
One column will show the change since the last entry, and the next would show the change for each entry based on your parameter. Want to see the change on each entry for two periods, enter 2.
This way I will be able to set daily, bi-daily, even weekly, or monthly percentage changes as the date builds.
Hope this makes sense.
OMG. What a Gloomy outlook. That graph is stunning.
Because everyone with a sniffle would run to their local ER. There really is not a supply of tests for this thing—and even though it’s not prevalent in this country the sheep would remain in the ER just bleating.
If it comes it will be shot-show enough. There is no reason to get the stupid masses all worked up.
As Emily would say, “Never mind.”
Just telling people that COULD work from home TO work from home for several weeks would attenuate the peak infected number. High number spread out over longer period vs. huge spike. Would be easier to handle this than a ‘pig in the python’ case load for the local hospitals.
“Monte Carlo simulation based off of 10 day incubation period and 2.5% mortality and 50 interactions over 10 days with new hosts”
Well, the rest of that (in bold) would've been good to know, at your original post.
That would be great, D1.
I appreciate it...and, your efforts.
2 more confirmed cases in Germany
4 total
all worked together
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