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Japan had a bad day today, besides all the numerous cases on the unfortunate ship, they seem to have local transmission of the virus in both Tokyo and Osaka:
BNO Newsroom on Twitter
Expect a lot of new cases in Japan and possible industry(Panasonic is relevant for Tesla) shutdowns. It could also be an indication of what is to come for other countries such as Singapore, Thailand, Indonesia etc and even the rest of the world.
Just a public note, if you want to improve your odds of not having a critial case of pnemonia if you get infected, sleeping 7-9h/night is a good and free remedy: (start watching at 2min)
Ya, Japan seems to be falling
If you go to the source (link posted earlier) you can point at each destination, and get the updated data. I find it useful for especially for following the situation in Shanghai. If you look in the left corner of the map, you will see that I pointed at Shanghai, as I find it to be most relevant to us/Tesla factory. The situation in Shanghai looks stabilized for the past days. Se snippet from picture. I also find the total situation for the most affected countries informative.Those maps could not be more useless :Þ
IMHO.
Ya, Japan seems to be falling. All new cases are from Local transmissions from unknown sources.
I did not realize that they continue to to let flights from China land. Must be because of the olympics.
The diamond princess experiment is giving very interesting results. ~10% infection rate with containment in place. ~ 3% in intensive care. Which is similar to the death rate. Which means the death rate in wuhan is probably due to overloaded systems.
Bad news is that it seems to hit hard on The young and non smoking population as well, just not as many.
Most comprehensive analysis I’ve seen so far: Wuhan Coronavirus—WUWT Update
FYI: Watts Up With that is a climate denial site. Probably not the best place to be posting scientific references from.
Seriously? Did you read the article? Please read it before making such comments. At the very least it is irresponsible. If the article has solid information (which it does) then warding off other people from reading it does everyone a gross disservice. If it helps, the article isn’t written by the blog author.
(I'll just note that the thing that got me to check the URL of the site - which I didn't notice initially, and which ultimately led me to look up the author - was that I noticed some glaring errors in what I was reading)
Could you be helpful and educate us on what glaring errors you found?
Misusing R0 (including trying to estimate it from a single case). Erroneous mean incubation period (it's not 7-10 days; one study pinned it at 3d, another at 5,2d, and another at 6,2d). Misinterpreting exceptional case reports as being characteristic. Grossly misinterpreting the mortality / recovery ratio (treating it as a mortality rate). Repeatedly contradicting actual experts in the field. Lots of things. His Diamond Princess example is particularly bad, as he appears to have forgotten entirely about the incubation period when talking about his "37 new cases per day for 4 days", and is simply wrong about everyone who has symptoms being removed from the ship as soon as their symptoms develop (e.g. a "symptomless R0 experiment"):
11 crew on the quarantined coronavirus cruise ship have contracted the disease — and the rest are afraid they'll be next
View attachment 511334
The policy so far has only been to remove people after a test confirms that they have the disease, not the moment that they develop symptoms. There's a lag between both symptoms and testing, and between testing and removal. The policy has changed over time, and is still changing. Additionally, a common complaint has been the poor isolation of the crew in general; only the passengers are on lockdown (and not the same restrictions for all passengers).
That's not to say that there can't be asymptomatic transmission - there seems to be a general consensus that it can occur, but is not the primary mode of spreading "in the wild". It's just that his description of the cruise ship as "an artificial (close quarters) symptomless R0 experiment" is false, because people on the ship have symptoms for significant length of time before removal, and the incubation lag time is unaccounted for. And indeed, we come back to misusing R0, because by the very definition of R0, it's inapplicable in an artificial setting (R0 only applies to "normal environments" where people behave normally).
But regardless, this is just the stuff that cued me in to check exactly what I was reading and who was posting it. And then I saw the site, which raised a big red flag, because the site is famously full of "intelligent-sounding" pseudoscience written by people "playing climatologist". So I then looked up the author.
(BTW, it's after 5:30 AM here, and I have no interest in playing "amateur epidemiologist vs. amateur epidemiologist". People are advised to stick to listening to expert consensuses, not climate denial blog authors)
Coronavirus could kill 400,000 Brits if deadly bug sweeps across the nation, ‘concerned’ expert warns
Check-out the sensationalism here. And before you say "It's the Sun", the quotes are from a professor at Imperial College London, so are treated seriously by people.
CORONAVIRUS has the "potential" to kill 400,000 Brits if the killer bug sweeps across the nation, an expert has warned. Professor Neil Ferguson said the figure is "not absurd" and the deadly disease “concerns” him more than any other illness he has worked on.
The sort of thing that that in my view makes a 2020 recession now perhaps more likely than not. Might still be ok if the media gets bored and the news cycle moves onto something else.
Thank you. It is always better to point out errors in the work rather than attack the author based on something unrelated.
Edit: Darpa and los alamos crunched the numbers and R0 is estimated to be 4.7~6.6. I don't know if you can treat this as fear mongering anymore.