You are wrong according to the WHO investigation of the events in China.[1]
You are wrong according to the statistics that came out of Korea - if there was an invisible group of asymptomatic, Korea's infection rate couldn't have been controlled. [2]
This destructive belief has persisted for a while because it made sense for various flu epidemic and gave the comforting idea most infections would be harmless. But is now with us at scale and all the evidence points to a rough 20%, 1-in-5 hospitalization rate [3]. I wish actual authorities would spend more time debunking this (even get fully clear on it themselves).
[2] Look at covid19info.live and look at the South Korean statistics. There's reason to think Korea found most if not all infection. Similar reasoning also applies to China.
> There's reason to think Korea found most if not all infection.
This is beyond ridiculous and you have no basis for making that assertion. As of last Saturday, In South Korea, as of the weekend only 248,000 people out of a population of 50,000,000, with 8,086 +ve cases and 72 deaths.
There is significant evidence that not only are most cases mild, but often asymptomatic.
> According to Crisanti, the director of the virology lab of U Padua, as little as 10% of #COVID2019 carriers show any symptoms at all. He sampled repeatedly the entire 3k+ population of Vo ', one of the initial clusters.
> 700 have been tested. Kári says that about half of those who tested positive have shown no symptoms, and the other half show symptoms have having a regular cold.
> "The vast majority of people infected with Covid-19, between 50 and 75%, are completely asymptomatic but represent a formidable source of contagion". The Professor of Clinical Immunology of the University of Florence Sergio Romagnani writes
> But is now with us at scale and all the evidence points to a rough 20%, 1-in-5 hospitalization rate [3].
No. It doesn't. That link doesn't say why they were hospitalised. In America if your insurance is good enough you can be referred for little to no reason.
The one credible source among your links talks about surveying a population and seeing of those testing positive for Covid are asymptomatic or have cold symptoms.
But this finding is not extrapolated to mean that the vast majority won't require hospitalization. There's a reason. When the virus is growing exponentially, most people have just gotten the virus and haven't gone the 2-3 weeks typical for becoming so sick that you require hospitalization. Exponential growth means 3-week old cases are rare. A weekly doubling time 1/16 of the cases of the cases are three weeks old. If 1/5 of those cases require hospitalization eventually, you will wind-up with only 1/80 of those cases seeming to require hospitalization if you're just taking a survey.
Some of my references are extrapolating things (correctly) but others are citing recognized authorities. Your entire argument is basically incorrect extrapolation based on not taking into account exponential growth.
This article widely read article summarizes the quandary we're in and how to extrapolate the current data.
> If 1/5 of those cases require hospitalization eventually
They won't, they don't, and you have no basis for making that claim. I don't know what your agenda is here but it is entirely clear you have no desire to honestly engage regarding the facts. Certainly a complete misreading, at best, of data presented.
It clearly deals with the symptoms during the while life cycle of the disease.
What precisely is your goal with this misinformation?
They won't, they don't, and you have no basis for making that claim.
All the links in my original post are the basis of my claim - the WHO finding in China is very plausible and says exactly what I say - so saying I have "no basis" is clearly misrepresenting my above post.
I believe I'm characterizing your claim and their links as well as I can while vehemently disagreeing. As far as I can tell, you cite a survey finding many asymptomatic cases and think that proves things will stay that way but fail to consider the properties of a growing infected group. I'm entirely hostile to your position but I know only substantial arguments can help here.
My main goal is to make clear the urgency of this situation. There's a debate about whether the virus needs to be actively suppressed and I want to make it clear that this is indeed necessary. Basically, not seeing the American Health Care system collapse and hundreds of thousands of people die is my motivate. For that, we have to realize how many people will be coming in (though that's visible in Italy).
You talk of "engaging with the facts" but you don't present either facts or arguments in this post - plus alleging motives, etc.
Edit: Looking further at your link, you're describing the (important testing approach in the village of Vo). You can say "as 10%" were symptomatic but this is in the context of the virus being spread by them, again, not in the context of the people not getting sick later. There's really no reference to exactly what percentage of people go seriously sick.
The Imperial College study, which seems well-received, and which caused the UK government to change strategy, estimates a hospitalisation rate of 4.4%.
It’s not ok to deliberately over-estimate numbers in order to achieve this goal. That was my original point at the top of this thread.
I have given the reasons that I believe 1/5 is in no way overestimate. I don't have any to think you are arguing in bad faith yourself, simply that you're mistaken on a very important point. However, you are resorting imputing bad faith on my part simply through your disagreement with my argument. That's a pretty bad way to argue and I think indicates a poor approach to this critical question.
The cruise liner and the 3000 pop Italian village are the well studied exposed populations so far I think and they indicate a big asymptomatic percentage.
The cruise ship showed a ~50% symptomatic rate, so any stats based on symptomatic patients are probably only off by a factor of 2.
Note that both South Korea and China outside Wuhan do extensive contact tracing and testing of people an infected individual can be determined to have interacted with, so they pick up a good deal of asymptomatic cases too.
Can you show me a link to what percentage of those exposed in the ocean linear needed hospitalization? I haven't seen any direct discussion of this and that the situation in question. Sure many can be asymptomatic but that doesn't imply the symptomatic group doesn't tend to get very ill.
Edit: I should have said "a large enough group of asymptomatic to push the fatality and sickness rate way".
Yes, there can a majority asymptomatic but that doesn't mean that 20% of the overall don't wind-up needing serious medical attention also.
Hopefully, you can read the comment I replied to and see the context
I've read several articles and none talk about the hospitalization rate. Two people died, which akin to the fatality with medical care seen elsewhere. That would seem to imply a similar rate of getting sick since the disease pattern is that with reasonable care, only small-ish portion of those getting sick die.
I mean, understand. Lots of people asymptomatic, a few quite ill, 1% die, sounds not terrible but it's very, very bad for it's health care overwhelm effect.
You are wrong according to the statistics that came out of Korea - if there was an invisible group of asymptomatic, Korea's infection rate couldn't have been controlled. [2]
This destructive belief has persisted for a while because it made sense for various flu epidemic and gave the comforting idea most infections would be harmless. But is now with us at scale and all the evidence points to a rough 20%, 1-in-5 hospitalization rate [3]. I wish actual authorities would spend more time debunking this (even get fully clear on it themselves).
[1] https://www.who.int/docs/default-source/coronaviruse/who-chi...
[2] Look at covid19info.live and look at the South Korean statistics. There's reason to think Korea found most if not all infection. Similar reasoning also applies to China.
[3] Edit: Discussion of CDC study: https://thehill.com/policy/healthcare/488325-cdc-data-show-c...