COVID COVID-19 Coronavirus Containment Efforts

AI Thread Summary
Containment efforts for the COVID-19 Coronavirus are facing significant challenges, with experts suggesting that it may no longer be feasible to prevent its global spread. The virus has a mortality rate of approximately 2-3%, which could lead to a substantial increase in deaths if it becomes as widespread as the flu. Current data indicates around 6,000 cases, with low mortality rates in areas with good healthcare. Vaccine development is underway, but it is unlikely to be ready in time for the current outbreak, highlighting the urgency of the situation. As the outbreak evolves, the healthcare system may face considerable strain, underscoring the need for continued monitoring and response efforts.
  • #2,801
Swamp Thing said:
There is a noticeable periodicity in this record of daily Covid-19 deaths in Sweden. I don't think other nations show that kind of thing. What would be causing this?

Germany looks similar https://www.worldometers.info/coronavirus/country/germany/ ...

I think the usual explanation is that there is e.g. less testing/reporting on weekends etc (or more complicated technical reasons why the reports are clustered without the cases/deaths necessarily being clustered), and those numbers are then reported later in the week. Seems to fit that one cycle is roughly 7 days.
 
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  • #2,802
atyy said:
One of my theories on disparities in infection rates between locales is "how loudly the locals speak".
Having never been to New York City, I can't really say if they talk louder than people in the rest of the world, or if that's just Hollywood.
In any event, if you've missed the profanity laced video titled "Ticked off Vic", then you'll have missed probably the most efficient human nebulizer/atomizer on the planet. He (Vic DiBitetto) could probably put out small fires with the amount of spittle he generates.
I seriously think singing, shouting, talking at Jersey levels, and laughing without face masks should be considered crimes until this is over with.

Of course, there are lots of other variables, also.
I discovered that one possible reason why Sweden and Denmark have different rates is that Copenhagen, the capital and most populous city of Denmark, appears to be the bicycling capital of the world.
 
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  • #2,803
OmCheeto said:
I can't really say if they talk louder than people in the rest of the world, or if that's just Hollywood.
That's just Hollywood.
 
  • #2,804
Ygggdrasil said:
Update on the numbers from Sweden

Two interesting recent news articles in Swedish news:

(1)

FOHM (The Swedish Health Agency) has calculated that the R-number (reproduction number) is now below 1 in Sweden:

Article said:
Public Health Agency: Sweden's R-number is now below 1.0

Sweden's R-number has been below 1.0 for a week, according to a calculation made by the Public Health Authority. If the trend continues it means the pandemic will gradually ebb.

[...]
(Google translation to English, with some corrections by me)

Source: Folkhälsomyndigheten: Sveriges R-tal nu under 1,0 (DN, May 2 2020, Swedish only)

(2)

A short interview with Anders Wallensten from FOHM (The Swedish Health Agency) regarding the high number of deaths in nursing homes in Sweden:

Article said:
Folkhälsomyndigheten (FOHM) investigates high death rates

Sweden's high death toll due to Covid-19 is significant in comparison with our Nordic neighboring countries. An important explanation is that the infection came into the country's nursing homes early, says Anders Wallensten from FOHM.

According to the latest public health statistics, a total of 2,679 people have died due to Covid-19 in Sweden. This is more than three times more compared to our Nordic neighbors - in total - and the figure will certainly be adjusted upwards when the weekend's backlog in reporting has been entered.

According to Sweden's Deputy State Epidemiologist Anders Wallensten, the main reason for this big difference is that the infection entered our nursing homes. Dagens Nyheter has produced data from the country's regions that show that at least 541 nursing homes have been affected.

- It is highly unfortunate that there has been such a large spread of infection there. We are investigating what has failed, what can be done better and in what way more support is needed, in order to improve this, says Wallensten.

TT: What is the spread of infection at the country's nursing homes at the moment?

- I don't have the current number. But it has been very large and it has not changed overnight. Unfortunately, it is true that once you have got the infection, it is difficult to manage in a nursing home. Great efforts are needed to ensure that no more people become infected, says Anders Wallensten.

TT: Whose responsibility is it that the infection has entered the nursing homes?

- It is surely a shared responsibility between everyone involved with the elderly. After all, there are many principals who work with elderly care and it is important that routines are working, but I cannot comment on whose responsibility it is specifically, says Anders Wallensten.

TT: Does the Public Health Agency have any responsibility for not having provided sufficiently clear guidelines?

- The Public Health Agency does not manage elderly care. Basically, it is about issues that always should be in place, even when it is not a pandemic, such as basic hygiene routines etc.

TT: Who should have been aware of shortcomings in basic hygiene practices?

- Well, it is the business owner who should have that competence. But as I said, it is too early to say exactly what has not worked out. We are going through it now and will report more during the week, says Anders Wallensten.
(Google translation to English, with some corrections by me)

Source: http://www.sydsvenskan.se/2020-05-03/folkhalsomyndigheten-granskar-hoga-dodstal (SDS, May 3 2020, Swedish only)
 
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  • #2,805
Yeah, nursing homes are important. I looked at the Massachusetts data, and the average age of a Covid-19 fatality is 82. 98.4% had identified underlying conditions, and 60% were in nursing homes.

I played around with a simple model, just at the Excel level. The idea is you have a large population A with a small probability of death, and a small population B, with a large probability of deaths. Instead of R's, I worked with probabilities: pAA is the probability someone in group A is infected by someone else in group A, pAB is the probability probability someone in group B is infected by someone in group A and so on. In this model, overall R varies depending on the relative sizes of group A and group B even for the same probabilities, and of course it depends on the p's.

The most important is pBB, and the next most important is the product pAA pBA. pAA by itself has less of an impact.
 
  • #2,806
Vanadium 50 said:
It's not so much the precision that I find surprising, it's the speed. A week after the changes are in place one can see this level of change? Contrast that with Sweden where we were told we had to wait more than a month to make any comparison.
It was an estimate, not a precise measurement. Clearly they vary quite a bit depending on the methods and so on.
https://www.cnbc.com/2020/04/28/germanys-coronavirus-infection-rate-has-edged-up.html
 
  • #2,807
Let's hope the trend in Sweden continues as a possible way to a responsible exit strategy . The daily death rate and COVID-19 case increases are dropping. Unfortunately, "flatten the curve" IMO has morphed into "stop the virus", which is unattainable and has no realistic exit strategy other than wait to next year at the absolute earliest for a vaccine.

https://www.worldometers.info/coronavirus/country/sweden/
 
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  • #2,808
Dr.AbeNikIanEdL said:
Germany looks similar https://www.worldometers.info/coronavirus/country/germany/ ...

I think the usual explanation is that there is e.g. less testing/reporting on weekends etc (or more complicated technical reasons why the reports are clustered without the cases/deaths necessarily being clustered), and those numbers are then reported later in the week. Seems to fit that one cycle is roughly 7 days.

I was initially convinced by this, but now I'm not too sure.

It would certainly explain periodicity in the number of new cases each day, if each test outcome is date-stamped with the day on which the test was processed. But in the case of deaths, each data point would be date-stamped with the day on which it actually took place (presumably). So when you plot the daily deaths, it would reflect the actual number of patients who died on a particular day, irrespective of variations in processing throughput.

Perhaps it is the effect of some real phenomenon like less staff being available in nursing homes over weekends (Someone has pointed out on this thread that a large percentage of deaths involves patients who were already receiving care in nursing homes).
 
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  • #2,809
Swamp Thing said:
I was initially convinced by this, but now I'm not too sure.

It would certainly explain periodicity in the number of new cases each day, if each test outcome is date-stamped with the day on which the test was processed. But in the case of deaths, each data point would be date-stamped with the day on which it actually took place (presumably). So when you plot the daily deaths, it would reflect the actual number of patients who died on a particular day, irrespective of variations in processing throughput.
I don't think that's likely as it would require retroactive edits to the data instead of just reporting a new number each day, and that would take a lot of work. What the data (on positive tests and deaths) tells us is as of that day, X many are known to have happened.
 
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  • #2,810
Swamp Thing said:
Perhaps it is the effect of some real phenomenon
Or maybe it's a complex phenomenon, as in, the probability of succumbing is the square of a complex number.

Please excuse the quantum graveyard humor.
 
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  • #2,811
russ_watters said:
it would require retroactive edits to the data
All it would take is that properly date-stamped data should propagate from hospital to area to town to region to country. Once that happens, the graph would just be based on a query off a database and would be free from processing artefacts.
 
  • #2,812
Swamp Thing said:
It would certainly explain periodicity in the number of new cases each day, if each test outcome is date-stamped with the day on which the test was processed. But in the case of deaths, each data point would be date-stamped with the day on which it actually took place (presumably).

That would certainly make sense, however:

(1) I don't see any indication that is what they do. As far as I can tell the number for each day is frozen at 0:00 GMT. Exceptions are usually explicitly mentioned in the Updates section. At least for Germany, the source is just a newspaper quoting the total number of deaths, presumably the new deaths every day is just the difference to the last day.

(2) It is not clear to me (again in particular for Germany) that such numbers would be officially reported anyway. I see (understandably) a great deal of trying to estimate when people actually got sick. For deaths however only the total number, and differences to the previous day.

(3) Look e.g. at China, they corrected the number of deaths on April 17 by a significant amount. Presumably no one of those was actually declared dead on April 17, yet the graph shows over 1200 new deaths on that day.
 
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  • #2,813
Swamp Thing said:
All it would take is that properly date-stamped data should propagate from hospital to area to town to region to country. Once that happens, the graph would just be based on a query off a database and would be free from processing artefacts.
I understand it could be done, but I'm pretty sure it isn't being done, which is what your question was about. Heck, even if the data was collected that way, it still wouldn't change the way it is primarily reported. That just isn't what the reported data is for.
 
  • #2,814
These people: https://arxiv.org/abs/2004.07208 say the 7 day effect is real.

I'm not agreeing with them, just saying that's their claim. It's certainly not impossible for this behavior to occur in other systems: e.g. pogo oscillations.
 
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  • #2,815
Coronavirus: UK hospital trials new treatment drug (BBC, 4 May 2020)

BBC Article said:
A new drug developed by UK scientists to treat Covid-19 patients is being trialled at University Hospital Southampton.

Developed by UK bio-tech company Synairgen, it uses a protein called interferon beta, which our bodies produce when we get a viral infection.

Initial results from the trial are expected by the end of June.

[...]

Interferon beta is part of the body's first line of defence against viruses, warning it to expect a viral attack, explains Richard Marsden, chief executive of Southampton-based Synairgen.

He says the Coronavirus seems to suppress its production as part of its strategy to evade our immune systems.

The drug is a special formulation of interferon beta delivered directly to the airways when the virus is there, with the hope that a direct dose of the protein will trigger a stronger anti-viral response even in patients whose immune systems are already weak.

[...]

Synairgen's drug trial is the template for a new fast-track clinical scheme that has just been set up by the government.

The Accord programme, as it is known, is designed to accelerate the development of new drugs for patients with Covid-19.

The first phase of the programme involves six other drugs.

[...]
 
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  • #2,816
Swamp Thing said:
There is a noticeable periodicity in this record of daily Covid-19 deaths in Sweden. I don't think other nations show that kind of thing. What would be causing this?

https://www.worldometers.info/coronavirus/country/sweden/
View attachment 261996

In the data from Sweden, the 7 day periodicity is almost certainly due to reporting. In a previous post, I noted differences in the daily deaths data from different sources:
1588603621690.png

Data from the European Centre for Disease Prevention and Control (ECDC), show the periodicity in deaths while data from the Public Health Agency of Sweden (FOHM) do not. It looks like the FOHM data attribute the death counts to the dates the individuals died (with a lag time of ~1-2 weeks for reporting) reflecting the actual number of deaths per day while the ECDC just scrapes the daily death count totals and reflects the number of new deaths reported per day.

It seems like the worldometers site uses the ECDC (or similar) source for their data while sites like Wikipedia use the FOHM data.
 
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  • #2,817
DennisN said:
regarding the high number of deaths in nursing homes

I mentioned the Massachusetts numbers. I looked at them again and, wow. Massachusetts has about 38000 nursing home residents. They have about 2400 deaths in nursing homes, and looks like they are about 2/3 of the way through the pandemic. Plug in a 10% CFR for people that age, and you get about 36000 cases: pretty much everyone who could get infected did.
 
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  • #2,818
CDC says:
If you develop any of these emergency warning signs for COVID-19, get emergency medical attention immediately:
Trouble breathing
Persistent pain or pressure in the chest
New confusion or inability to arouse
Bluish lips or face

This is a dumb question, but what do they mean by "arouse" there? Is that a way of saying standing up or rising? Or, is it something else?
 
  • #2,819
mfb said:
As Germany opens more and more things the estimated reproduction rate went from 0.7 to 1. Still enough to keep the disease at a low level, and with the delay between infections and confirmed cases this means the confirmed cases still go down. If we take 2 weeks between confirmed infection and death we can expect daily deaths to shrink by another factor 2, to ~50, maybe even a bit better. Or 18,000 in a year if it is kept constant. That's still 5 times as many as traffic accidents (with normal traffic). If the reproduction rate is a bit lower that number can go down a lot, if it is higher we'll probably see some restrictions coming back.

Overall I like the German strategy. The result is not as good as in NZ/Australia/Iceland, but Germany isn't an island.

R0 of 1 means their growth rate becomes exponential. You have to have an R0 of below one (and sustain that!) to stop growing cases over time.

I am actually disturbed by Germany's spike in new cases, as they are back to exponential growth!
 
  • #2,820
kyphysics said:
CDC says:This is a dumb question, but what do they mean by "arouse" there? Is that a way of saying standing up or rising? Or, is it something else?
I would assume "arouse" means "be woken up", i.e. gain conciousness. That's something for someone else in your house to observe rather than yourself.
 
  • #2,821
nsaspook said:
Let's hope the trend in Sweden continues as a possible way to a responsible exit strategy . The daily death rate and COVID-19 case increases are dropping. Unfortunately, "flatten the curve" IMO has morphed into "stop the virus", which is unattainable and has no realistic exit strategy other than wait to next year at the absolute earliest for a vaccine.

https://www.worldometers.info/coronavirus/country/sweden/
I noticed that too, the strategy of "flatten the curve" has morphed. They told us at the beginning that we were just slowing the rate we were going to get sick so as to not overwhelm the healthcare system. We did so now the strategy needs to be opening up at a rate such that the system can handle the rise in new cases. But now some see the predicted rise in new cases as a 'failure' when actually it's a success. Also, comparing Sweden to its immediate Nordic neighbors is misleading. Overall, compared to all other nations as a whole, Sweden has done quite well especially since their economy has remained open.
 
  • #2,822
bob012345 said:
I noticed that too, the strategy of "flatten the curve" has morphed. They told us at the beginning that we were just slowing the rate we were going to get sick so as to not overwhelm the healthcare system. We did so now the strategy needs to be opening up at a rate such that the system can handle the rise in new cases. But now some see the predicted rise in new cases as a 'failure' when actually it's a success.
I never liked the "flattening the curve" strategy -- I always thought it indicated failure and wasn't much better than just letting the virus run wild. "Flattening the curve" (without a significant reduction in the total number who become infected) basically means being ok with many hundreds of thousands of deaths in the US. Are we really ok with that? I'm not. I think we should have chosen to try to do better.
 
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  • #2,823
There seem to be several different usages of "flatten the curve". In the strict sense, it means the same number of deaths over a longer time, where the main aim is prevent the healthcare system from being overwhelmed.

However, some people use the term loosely to mean slow the spread. If the spread is slowed enough (say over 5 years instead of 1 year), and a vaccine comes in before that, then "flatten the curve" would mean fewer deaths.

Also there are several meanings of the terms "suppression", "containment", "mitigation". Sometimes, "containment" has meant the same thing as "suppression", with the effective reproduction number < 1, while at other times "containment" has referred to contact tracing and quarantine of infected people and close contacts, without an increase in social distancing.

Also suppression (R < 1) and mitigation (R > 1, but low, with a healthcare system that can cope) strategies can be a continuum. One could attempt a suppression strategy, with the understanding that it might not work, and the failed suppression strategy would be a mitigation strategy.
 
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  • #2,824
atyy said:
However, some people use the term loosely to mean slow the spread. If the spread is slowed enough (say over 5 years instead of 1 year), and a vaccine comes in before that, then "flatten the curve" would mean fewer deaths.

I don't think a state of emergency can be sustained for five years.
 
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  • #2,825
atyy said:
There seem to be several different usages of "flatten the curve". In the strict sense, it means the same number of deaths over a longer time, where the main aim is prevent the healthcare system from being overwhelmed.

However, some people use the term loosely to mean slow the spread. If the spread is slowed enough (say over 5 years instead of 1 year), and a vaccine comes in before that, then "flatten the curve" would mean fewer deaths.

Also there are several meanings of the terms "suppression", "containment", "mitigation". Sometimes, "containment" has meant the same thing as "suppression", with the effective reproduction number < 1, while at other times "containment" has referred to contact tracing and quarantine of infected people and close contacts, without an increase in social distancing.

Also suppression (R < 1) and mitigation (R > 1, but low, with a healthcare system that can cope) strategies can be a continuum. One could attempt a suppression strategy, with the understanding that it might not work, and the failed suppression strategy would be a mitigation strategy.
https://www.bbc.com/news/health-52473523

I feel like flatten the curve was a rallying cry to:

i.) at minimum, try to prevent a overwhelming of the healthcare system (via a slower transmission rate)
ii.) on the more optimistic side, try to give the virus nowhere to spread

Per the article's chart here, an R0 (r "naught") value of lower than 1 means the virus dwindles down over time.
_112039637_infection_rates_comparisonv2_640-nc.png


Why is a number above one dangerous?
If the reproduction number is higher than one, then the number of cases increases exponentially - it snowballs like debt on an unpaid credit card.

But if the number is lower, the disease will eventually peter out as not enough new people are being infected to sustain the outbreak.

Governments everywhere want to force the reproduction number down from about three to below one.

This is the reason you've not seen family, have had to work from home and the children have been off school. Stopping people coming into contact with each other to cut the virus's ability to spread.

If we had an aggressive nation-wide lockdown for 45 - 60 days (except for absolutely essential workers) and strong enforcement of various safety protocols (social distancing, mask wearing, non-large group gatherings, etc.), then we could have conceivably driven the R0 value to a very low level to give it few places to spread. Maybe it'd still be around, but in much fewer infectious people. And opening up from that point, while maintaining safety protocols and awareness, could help keep the spread minimal.

I think we botched a lot of things in that regard and I am scared of an immediate second wave after opening things back up again. We never really shut down. Parts of Texas and other areas of the country never really closed. Some states seem to have increasing case counts just as they're reopening.
 
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  • #2,826
russ_watters said:
I always thought it indicated failure and wasn't much better than just letting the virus run wild.
But it is. Just apart from preventing healthcare to be overrun by patients it also means that at the top you have less active cases => with R0 falling below 1 it will vanish faster (with less additional cases) from a lower base compared to the 'wild' top with much higher numbers.

Of course the ideal solution would be an extinction, but that's unrealistic since it would require strict cooperation of every country affected (with wide type/strength of economies).
Another 'ideal' solution is to develop a vaccine - but not every country can pay the price of a lockdown that long.
 
  • #2,827
  • #2,828
Rive said:
But it is. Just apart from preventing healthcare to be overrun by patients it also means that at the top you have less active cases...
And how many would that save? I don't think I've seen an estimate of the difference in mortality between a healthcare system that is overrun and one that isn't. On the Diamond Princess, 1.7% of the infected died (12 people). Early estimates from Wuhan indicated 2.3% iirc. In the US we have 5.8% in a non-overwhelmed healthcare system, which means we're missing at least half the infections. These are scary-high numbers.

So what's a reasonable expectation for the death rate under an effective social distancing scenario? 1%? 2%?
=> with R0 falling below 1 it will vanish faster (with less additional cases) from a lower base compared to the 'wild' top with much higher numbers.
But that's not how "flattening the curve" was described. I'm seeing estimates including one from a Harvard epidemiologist saying 40-70% of the world population may eventually become infected in a year, and 1-2% die.
https://www.cbsnews.com/news/corona...ldwide-virus-expert-warning-today-2020-03-02/
This was pre-social distancing and this is one of the types of predictions that led to it. That's 1.3 to 4.6 million people.

The crude graphs and statements I've seen on the impact of social distance literally just show the curve flattening, without noticeably decreasing the area under it. I've seen no estimates of how many fewer people a "flattened curve" would infect. So again: it appears to me that as-sold to the public, a successful outcome would kill more than a million people while not specifying how many could be saved. Maybe it's the bottom-end vs the top-end of that range. I don't know.
https://www.uchicagomedicine.org/forefront/coronavirus-disease-covid-19/social-distancing-psa

I posted about this a few weeks ago and someone replied something to the effect of "do you know what an overwhelmed healthcare system looks like?" Sure -- I watch the news. It's a half hour of human-interest stories where altogether a dozen people are interviewed to discuss how hard they are working, and some photos/video of hospital beds in corridors. I didn't respond to it at the time because that means very little. This is a numbers game, not a human-interest story -- that's largely the flaw in how its being discussed. What I need to see are the numbers: how much extra harm would be caused by an overwhelmed healthcare system?

The only number I know of that answers that question is 80%. That's the percentage of people on ventilators who die. That tells me that an overwhelmed healthcare system matters very little because the deaths delta is only 25% of the excess of critical patients. But, you might ask, what about all those other patients not being served who might die -- a car accident victim, a heart attack victim? It doesn't affect the upper-bound. The upper-bound is this: everyone infected with COVID-19 stays home; Nobody gets a ventilator. Under that scenario, the deaths from other causes are unaffected and the COVID-19 deaths increases by some portion of 25%. I say less than 25% because that assumes everyone who could be saved by a ventilator is identified in time to save them. I'm sure many people die without ever being put on ventilators, after rapidly crashing. They probably couldn't be saved, but are included in the total anyway.
Of course the ideal solution would be an extinction, but that's unrealistic since it would require strict cooperation of every country affected (with wide type/strength of economies).

Now, 25% is a lot of people. But the problem is; 25% of what? It's not 25% of 80,000 (the hospital system isn't overwhelmed at that level) or 25% of 1,000,000?

What's more important is the order of magnitude between 80,000 and 1,000,000. That's the difference we should be talking about and the focus of our efforts.
Country-by-country extinction is possible because countries have borders and can isolate themselves.

Every country makes their own choices and the outcome is going to be based on those choices. I think extinction in the United states should have been the goal, and other countries have shown it's achievable. But we're not even trying -- we're barely even allowed to discuss it.
Another 'ideal' solution is to develop a vaccine - but not every country can pay the price of a lockdown that long.
Nobody can pay the price of an 18 month lockdown. That's not an option that anyone has seriously considered, as far as I'm aware.
 
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  • #2,829
atyy said:
Let's see how China, South Korea, Hong Kong, Taiwan, Australia and New Zealand do. The have single-digit or near single-digit new cases per day, and many businesses can function at some level.
Should we really wait and see or should we try to duplicate their success?
 
  • #2,830
russ_watters said:
In the US we have 5.8% in a non-overwhelmed healthcare system, which means we're missing at least half the infections.
I'm not sure about that. Death makes its way into statistics faster than recovery, so in the expanding phase the mortality looks far worse than what it really is, even without much missed infections.

russ_watters said:
But that's not how "flattening the curve" was described.
Memes works best with a single, contagious piece of information. So yes, it's kind of the way it was sold.

russ_watters said:
But, you might ask, what about all those other patients not being served who might die -- a car accident victim, a heart attack victim?
I think they should be considered as victims of the overran healthcare: victims of the pandemic.
 
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  • #2,831
kyphysics said:
R0 of 1 means their growth rate becomes exponential. You have to have an R0 of below one (and sustain that!) to stop growing cases over time.

I am actually disturbed by Germany's spike in new cases, as they are back to exponential growth!
No, R=1 means a constant rate of new infections. Every infected person infects (on average) one other before they recover.

Please explain where exactly you see a spike in new cases, because I'm really curious. I see the lowest new case counts since mid March:

germany.png


kyphysics said:
then we could have conceivably driven the R0 value to a very low level to give it few places to spread. Maybe it'd still be around, but in much fewer infectious people. And opening up from that point, while maintaining safety protocols and awareness, could help keep the spread minimal.
In other words: Lowering the cases, then opening up just enough to keep R not going above 1. Germany does exactly what you suggest in this post, despite you being disturbed by it earlier.

russ_watters said:
I never liked the "flattening the curve" strategy -- I always thought it indicated failure and wasn't much better than just letting the virus run wild. "Flattening the curve" (without a significant reduction in the total number who become infected) basically means being ok with many hundreds of thousands of deaths in the US. Are we really ok with that? I'm not. I think we should have chosen to try to do better.
What made you change your mind? A month ago you seemed skeptical of all the proposed and actual measures to "do better", citing their not well-known impact on the economy. Attempts to keep everything running as normal was exactly what prevented people from doing better.

russ_watters said:
The only number I know of that answers that question is 80%. That's the percentage of people on ventilators who die. That tells me that an overwhelmed healthcare system matters very little because the deaths delta is only 25% of the excess of critical patients.
You assume that everyone who doesn't get a ventilator in a hospital would survive fine at home. I would like to see something backing that assumption.
I would also like to see where this 80% number comes from. In China it was ~50%, and 1/3 of people admitted to ICU.
In the UK only 1/5 of people requiring "basic respiratory support" died. In the subset requiring mechanical ventilation it was 2/3. If everyone requiring basic respiratory support dies without a hospital your deaths increase by 400%, not 25%. I don't say that is true, but for an upper estimate that's certainly something to consider. And that's assuming a hospital does nothing but providing respiratory support, which is clearly not correct.

Vanadium 50 said:
These people: https://arxiv.org/abs/2004.07208 say the 7 day effect is real.

I'm not agreeing with them, just saying that's their claim. It's certainly not impossible for this behavior to occur in other systems: e.g. pogo oscillations.
And they'll keep claiming that forever because apparently it's their personal pet hypothesis that they are unable to give up.
We know that reporting depends on the day of the week. We even have German states reporting zero on some days (i.e. not reporting the numbers in time). It's also something that only appears in some countries but not elsewhere.
 
  • #2,832
Rive said:
I'm not sure about that. Death comes faster in statistics than recovery, so in the expanding phase the mortality looks far worse than what it really is, even without much missed infections.
That number is deaths over infections: it is an underestimate based on the available data, for the other side of the coin from what you describe.
Memes works best with a single, contagious piece of information. So yes, it's kind of the way it was sold.
That's fine, but I'd like to see evidence that there was a real plan/goal behind it, and I'm having a lot of trouble finding one - I'm mostly just guessing. Because independent of how it is being sold, if there's not plan/goal, why are we doing what we are doing?
I think they should be considered as victims of the overran healthcare: victims of the pandemic.
I agree, but you misunderstood what I was doing there. If you keep everyone who has Covid-19 out of hospitals, the number of additional non-covid-19 deaths should be zero.
 
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russ_watters said:
If you keep everyone who has Covid-19 out of hospitals, the number of additional non-covid-19 deaths should be zero.
On the other hand, the Covid-19 deaths would go up. I don't think there is any 'good' solution for this.

russ_watters said:
Because independent of how it is being sold, if there's not plan/goal, why are we doing what we are doing?
No idea. I don't know if there is a plan, or the biggest goal is just (political) survival.
Kinda' feels like way back watching the BSG series. Was that 'they have a plan' stuff, can you recall? Later on it turned out that there wasn't, but it sold itself well anyway.

But I can tell you one thing: I can't get through to people even the basic price of 'herd immunity'. When I just multiply the 60% with the mortality and apply it to the population they call me alarmist and worse, but none dares to take it seriously.

Ps.: it is the same with hospitalization rate.
 
  • #2,834
russ_watters said:
Should we really wait and see or should we try to duplicate their success?

Well, speaking selfishly, I think it would benefit us (Singapore) if the US tried to replicate their success.

But the US system is very complicated. Maybe even more complicated than the German system (probably an understatement) - I mention Germany, because I think its health system is also one in which each state is responsible for its own contact tracing etc. Germany seems to have done decently so far, even if it's not as well as South Korea.

At the start of this epidemic, I had expected the US CDC (at that time it had tremendous reputation throughout the world) to coordinate US efforts. The CDC made some big mistakes, notably on the development of testing in the US. However, now I wonder whether the CDC had any power to coordinate the efforts of different states in the first place. I know we are way past it now, but what would have an optimal US response looked like?
 
  • #2,835
russ_watters said:
But that's not how "flattening the curve" was described.
Right, as I understood it, the idea was that, while the number of infections would be the same (area under the curve), the number of deaths would be lower since at any time, fewer people would be hospitalized. If too many enter the hospital at once, they don't get the care they need to survive.

This makes sense, since without a vaccine, eventually everyone will be infected.

But it stops making sense if it is true that 80% of the hospitalized die anyway. I don't know if that number is right, I have heard (TV news reports) even higher numbers.
 
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atyy said:
I know we are way past it now, but what would have an optimal US response looked like?
That's difficult to answer. An important ingredient is our form of government with a national (federal) government with limited powers, plus state governments with their own powers.

In the context of this question, it would be better to compare the USA with the EU. In the COVID-19 crisis, EU member states mostly acted independently, and the EU did very little centrally. In the USA the media focuses on the national news and national action in a crisis, but most of the authority remains with the states. People see news from their own state, but less news from other states. People outside the USA see USA national news via satellite but relatively little news from the 50 different US states. If you want to report on the COVID-19 policies in Sweden, would you go to Stockholm or Brussels?

So the answer to your question depends as much on the media as it does on the government. Instead of comparing the USA with Singapore, compare it with Asia.
 

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Sean Trende, who is a reporter who often reports on polling, has an article titled: https://www.realclearpolitics.com/articles/2020/05/03/policy_and_punditry_need_to_adapt_to_new_virus_data_143102.html.

In it he makes a number of points also made in this thread:
  1. "Flatten the curve" is morphing to something else. Maybe it's better, but it's different.
  2. Hospital capacity in the US is far from being overwhelmed.
  3. The fatality rate is lower than we thought it was when decisions on lockdown were being made.
  4. There is no consensus on when and how to reopen and nobody has a crystal ball.
  5. "This seems to reflect a wider phenomenon of people being driven into “teams” regarding the shutdown."
Besides all that, he also posts a very, very state-by-state plot. It pretty clearly shows that Montana and Minnesota are in very different stages. The Utah double bump is also very interesting. It's hard to tell what it is, but it appears to be geographic: SLC and near Bluff.

1588687920777.png
 
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kyphysics said:
https://www.bbc.com/news/health-52473523

I feel like flatten the curve was a rallying cry to:

i.) at minimum, try to prevent a overwhelming of the healthcare system (via a slower transmission rate)
ii.) on the more optimistic side, try to give the virus nowhere to spread
Yes, if the true goal was to cut the curve, then I would agree that it was a good idea. And that's what I thought the true goal was*, but it isn't looking that way now.

*For the US and most Western countries anyway. China successfully chopped-off the back side of the curve and drove the outbreak to near extinction (if they aren't lying to us), at an average of <100 cases per day since early March.
 
  • #2,839
mfb said:
What made you change your mind? A month ago you seemed skeptical of all the proposed and actual measures to "do better", citing their not well-known impact on the economy. Attempts to keep everything running as normal was exactly what prevented people from doing better.
You misunderstand my position because of an incorrect/excessive focus on "flattening the curve", and improperly equating "social distancing" with "flattening the curve". I still maintain that the options were ill considered, and that there were additional options that have even today not been put on the table. Specifically, I'm talking about cumpulsory digital contact tracing, plus testing. South Korea did it, and never implemented mandatory social distancing.

It's a multi-part failure, and while you're looking back and saying "social distancing" was a good approach that should have been implemented sooner, I'm looking back further and saying it was a bad approach that should never have been needed to begin with. And I think looking at where we are today and where we are going validates that it is a bad approach.

To me, social distancing is trying to bail water out of the Titanic. We shouldn't judge it to be a good idea when we never should have hit the iceberg to begin with. And quibbling over when it was implemented is arguing deck chair arrangement.
You assume that everyone who doesn't get a ventilator in a hospital would survive fine at home. I would like to see something backing that assumption.
I'm sure there's no stat for that, but it is a basic/logical assumption. The treatment follows a relatively linear path that ends with a respirator as a final step for most (there is also an external artificial lung, but I hadn't heard of it until I googled it).
I would also like to see where this 80% number comes from. In China it was ~50%, and 1/3 of people admitted to ICU.
Actually, an update since last I checked is 88% in NYC on ventilators died:
https://www.washingtonpost.com/health/2020/04/22/coronavirus-ventilators-survival/
In the UK only 1/5 of people requiring "basic respiratory support" died. In the subset requiring mechanical ventilation it was 2/3.
There's multiple levels of "mechanical ventilation", and I can't access the article to see what they are referring to.
If everyone requiring basic respiratory support dies without a hospital your deaths increase by 400%, not 25%. I don't say that is true, but for an upper estimate that's certainly something to consider. And that's assuming a hospital does nothing but providing respiratory support, which is clearly not correct.
"Basic respiratory support" is just an oxygen mask; It doesn't require a hospital, nor does it prevent an imminent death, so I don't think your conclusion is logical/accurate. But fair enough, my upper-bound scenario may have been extreme; that was on purpose for the purpose of simplicity/clarity. We would of course never leave *everyone* at home, but there are other options that would enable closing that gap without significant impact on the non-COVID patients. I think it is also worth noting that the bigger the COVID impact, the smaller the impact of non-COVID patients on the totals.

But again, my main point here is we're arguing percentages when we should be talking about orders of magnitude. But that discussion isn't being held to a significant extent in the West.
[edit]
Here's where my head's at overall: Four weeks ago, Dr. Fauci reduced the US government's official projection from 80,000 to 60,000 deaths. I saw a refinement of that just two weeks ago, at the same level. In order for that to have come true, we would have needed to see a rapid drop-off in infections/deaths following the peak; an extinction scenario, not a "flattening the curve" scenario. That seemed ok to me. And in my opinion it is relatively useless to argue over whether implementing social distancing a week or three earlier could have saved half or even 3/4 of those lives. It doesn't matter if you have no exit strategy: they are going to die anyway.

That 60,000 total and extinction hasn't happened, and today we're at 70,000 deaths/1,000 per day, and I haven't seen an updated projection. That tells me that social distancing hasn't worked anywhere near as well as was predicted. And moving forward, things look far more bleak. We've fired that bullet and it missed, and we can't easily fire it again. Now what? People don't seem to be saying it, but it sounds to me like we're preparing to enter some half-open-half-closed steady-state, with 1,000 deaths per day, for the next 18 months or so, until a vaccine is produced. I'm really, really not ok with that.
 
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gmax137 said:
Right, as I understood it, the idea was that, while the number of infections would be the same (area under the curve), the number of deaths would be lower since at any time, fewer people would be hospitalized. If too many enter the hospital at once, they don't get the care they need to survive.

This makes sense, since without a vaccine, eventually everyone will be infected.

But it stops making sense if it is true that 80% of the hospitalized die anyway. I don't know if that number is right, I have heard (TV news reports) even higher numbers.
Not 80% of hospitalizations, 80% of those on ventilators -- but you get my point, and yes, it's apparently higher than that based on the report I linked above.
 
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russ_watters said:
Not 80% of hospitalizations, 80% of those on ventilators
Oops, my mistake. But I wonder what the right value would be for percent of hospitalizations resulting in recovery. The TV news has run stories of the ICU staff lined up and cheering as a patient is released; this feel-good story seems to imply, darkly, that recovery and release is unusual.
 
  • #2,842
gmax137 said:
Oops, my mistake. But I wonder what the right value would be for percent of hospitalizations resulting in recovery. The TV news has run stories of the ICU staff lined up and cheering as a patient is released; this feel-good story seems to imply, darkly, that recovery and release is unusual.
I wouldn't conclude that; the patients getting the most care for the longest are the ones who have the most impact on hospital staff. Someone who is just there for a night or two but had no significant risk of dying isn't getting a sendoff.
 
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russ_watters said:
eople don't seem to be saying it, but it sounds to me like we're preparing to enter some half-open-half-closed steady-state, with 1,000 deaths per day, for the next 18 months or so, until a vaccine is produced. I'm really, really not ok with that.

I think it's both better than that and worse than that. You're going to see reductions in fatalities in places like Massachusetts and New Jersey because they are approaching 100% infected in nursing homes. Sad to say, everyone who would die is already dead or dying. On the other hand, there has never been a successful Coronavirus vaccine, so it may be longer than 18 months. Maybe never.

Let's assume that continued lockdown saves your 1000 lives/day. All of them. I think that's way too big (it would make Covid the third leading cause of death) , but let's take that for the sake of argument. I'm also going to assume that lockdown is a 20% effect on the economy. I think it's larger than that (after all, unemployment is at 30%) but we need some number, so let me pick that one out of thin air. That's $13B/day. Why save these 1000 people? Why not use this $13B to save other people? That's roughly what it would cost to make free flu vaccine available to everyone - after just one day - and flu kills 20.000-60,000 people are year. Why let 20-60,000 people die of flu if it saves 1000 lives? Why are these people more important than those people. Annual breast cancer screening for all women over 40 could be done for an additional $7B. That kills 40-50,000 people per year. If it saves10% of them, why not save 4000 women over 500 Covid patients?

Once you go down the path "it hurts the economy, but that's OK because it saves lives", you immediately run into the question of how much you will hurt the economy and how many and which lives you save.
 
  • #2,844
Vanadium 50 said:
I think it's both better than that and worse than that. You're going to see reductions in fatalities in places like Massachusetts and New Jersey because they are approaching 100% infected in nursing homes. Sad to say, everyone who would die is already dead or dying. On the other hand, there has never been a successful Coronavirus vaccine, so it may be longer than 18 months. Maybe never.
Understood. And it's really anybody's guess. But just FYI, new predictions are coming out and they are grim. Here's an organization that was predicting 60,000 deaths by August two weeks ago and is now predicting 135,000, and 3,000 per day in June. The prior prediction appeared to include effective extinction by the end of June (new 1 case per million people per day).
https://www.nytimes.com/2020/05/04/us/coronavirus-live-updates.html
Let's assume that continued lockdown saves your 1000 lives/day. All of them. I think that's way too big (it would make Covid the third leading cause of death) , but let's take that for the sake of argument. I'm also going to assume that lockdown is a 20% effect on the economy. I think it's larger than that (after all, unemployment is at 30%) but we need some number, so let me pick that one out of thin air. That's $13B/day. Why save these 1000 people? Why not use this $13B to save other people?
Well I know its just an example, but that's $13M per life saved, and while as we've discussed how hard it is to put a value on a human life, that sounds like an entirely unreasonable sum to me. Forget healthcare; that's double what the average person spends on everything for their entire life.

How about we treat it as a bribe? I know people don't want mandatory tracking, but what if I offered you $5,000 for 2 years of mandatory location tracking and COVID-19 status sharing (the cost of 4 months of shutdown, per American)? The instant return-to-normal-life comes free with that.
 
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  • #2,845
russ_watters said:
You misunderstand my position because of an incorrect/excessive focus on "flattening the curve", and improperly equating "social distancing" with "flattening the curve". I still maintain that the options were ill considered, and that there were additional options that have even today not been put on the table. Specifically, I'm talking about cumpulsory digital contact tracing, plus testing. South Korea did it, and never implemented mandatory social distancing.
I didn't focus on anything in particular. I compared "we don't know how restrictions will affect the economy, it might be worse than acting, we should wait with actions" (paraphrased, that's how I understood your comments) with your more recent comment.
I'm looking back further and saying it was a bad approach that should never have been needed to begin with.
Yes, in an ideal world everyone who is sick doesn't get in contact with others and none of that is needed. We don't live in such a world. Scenarios need to be realistic to be relevant.

Paywall :(
NYC is an example of a hospital system that can't treat patients well because there are so many of them, that can easily skew statistics.
"Basic respiratory support" is just an oxygen mask; It doesn't require a hospital, nor does it prevent an imminent death, so I don't think your conclusion is logical/accurate. But fair enough, my upper-bound scenario may have been extreme; that was on purpose for the purpose of simplicity/clarity. We would of course never leave *everyone* at home, but there are other options that would enable closing that gap without significant impact on the non-COVID patients. I think it is also worth noting that the bigger the COVID impact, the smaller the impact of non-COVID patients on the totals.
I don't have an oxygen mask at home. Do you?
Sure, patients with a higher risk are more likely to have an oxygen system somewhere, and there are portable systems, and you can visit the patients at home and whatever, but in all these cases we are back to the original problem: We need some resources for COVID-19 patients, resources that are now missing elsewhere. You can't have the full healthcare system capacity for all other diseases and oxygen masks for every COVID-19 patient who might need one at the same time. In your scenario "what if we let all patients handle that on their own" people who need an oxygen mask might die because they don't get one.

I have mentioned this several times in this thread (at least from March on). The death rate of the disease is bad. But what is worse is the large number of people who need to go to a hospital and/or need an ICU bed. People are sent to a hospital or ICU for good reasons.

It doesn't matter if you have no exit strategy: they are going to die anyway.
Not if they just died because hospitals were overwhelmed.
People don't seem to be saying it, but it sounds to me like we're preparing to enter some half-open-half-closed steady-state, with 1,000 deaths per day, for the next 18 months or so, until a vaccine is produced. I'm really, really not ok with that.
Well, the 1000 deaths per day could easily be 500, or 200, or 50, or even lower. That depends on (a) when actions were taken and (b) how they evolve over time.
Plenty of people say we'll probably look at a half-open-half-closed state for a while. How open, and what exactly are the least impactful things to keep closed? Time will tell. Extinction might work for islands, but closing land borders completely (or requiring quarantine for everyone crossing) is unrealistic.
 
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Every country has prisons, and every prison is a microcosm of COVID-19 risks, and mitigation policies. Many of the claims and counter-claims in this thread could be tested against prison data.

Once the virus gets inside undetected it would spread very fast. Marion Correctional Institution in Ohio reports 80% of their 2000+ inmates tested positive with 17 dead so far. That is analogous to cruise ship reports. On the other hand, look at the data from Florida in the table below.

51 of 59 institutions report few or no positives, but in the other 8, the virus spread much more. Interestingly, the data for all 59 has been nearly constant for the 6 weeks I've been watching. I surmise that in the 8 of 59, once things were properly locked down, further spread has been halted.

Prisoners can be locked down much more strictly than the public. They can be kept in their cells 24x7, with no visitors, and with meals delivered. Their exposure is carried by the small number of guards who go in and out of the prison daily, but those guards can be screened daily before entry. Ironically, despite fear of inadequate medical treatment behind bars, these inmates appear to be safer inside than if they were released. Their mental health is a separate issue and not reported in this data.

COVID-19 Statistics, May 5, 2020 10:00, 176000 inmates, 7 inmate deaths so far
InstitutionMedical QuarantineMedical IsolationPending TestsNegative TestsPositive TestsPositive Staff
Apalachee CI6911969
Avon Park CI000500
Baker CI000100
Bay CF000200
Blackwater CF17000164811
Calhoun CI000000
Century CI000101
CFRC000201
Charlotte CI000003
Columbia CI00049251
Cross City CI000301
Dade CI511302
Desoto Annex000002
Everglades CI000201
Florida State Prison000301
FWRC000102
Franklin CI000000
Gadsden CF327001814
Gadsden000000
Graceville CF011002
Gulf CI000100
Hamilton CI000602
Hardee CI000200
Hernando CI000202
Holmes CI000000
Homestead CI000201
Jackson CI000004
Jefferson CI000100
Lake CI000300
Lake City CF000101
Lancaster CI000200
Lawtey CI000500
Liberty CI3511129662
Lowell CI0001101
Madison CI000100
Marion CI000501
Martin CI0001010
http://www.dc.state.fl.us/comm/223000300
Moore Haven CF16100001
New River CI000301
NWFRC000200
Okaloosa CI000001
Okeechobee CI000301
Polk CI000101
Putnam CI000200
RMC000300
Santa Rosa CI000502
SFRC0111926
South Bay CF9270081444
Sumter CI91344529213
Suwannee CI000100
Taylor CI000500
Tomoka CI1162228312819
Union CI000500
Wakulla CI300205
Walton CI000100
Zephyrhills CI0001204
Totals40881111389390174
Source:
http://www.dc.state.fl.us/comm/covid-19.html#stats
 
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mfb said:
NYC is an example of a hospital system that can't treat patients well because there are so many of them, that can easily skew statistics.
I'm not sure that's true.

That's what the news reports implied, but NY Governor Cuomo said that even during the peak, no patient that needed a ventilator was denied a ventilator. So their claim is that they were never overwhelmed.

https://www.usatoday.com/story/news...-shortage-curve-new-york-flattens/3036008001/
 
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Maybe they were creative with the definition of "needed a ventilator". Or something else made the people getting a ventilator die more often than elsewhere.
 
  • #2,849
mfb said:
I didn't focus on anything in particular. I compared "we don't know how restrictions will affect the economy, it might be worse than acting, we should wait with actions" (paraphrased, that's how I understood your comments) with your more recent comment.
No, I'm pretty sure I never suggested waiting as a general strategy before taking action of any kind -- perhaps case-by-case basis action, though, which could be earlier or later. Thinking-through your options isn't "waiting", especially if you should have already done it. Deciding not to do social distancing isn't choosing a less aggressive path that favors the economy over human lives if you're doing electronic contact tracing instead (see: Korea). The reality for us, here, is that most of the optionality passed us by before the choices were made.

While I held out hope - and bought stock - late in February, by the second week in March it was spreading-through my county and I had no illusions about a shutdown not being necessary at that point. But I always think you need a plan.

My concern about not considering health-vs-economy is still a big concern. It gets worse the longer the shutdown lasts, and worse as the death estimates go up. We're seeing predictions of more deaths and higher economic cost over time. And we're still not having a serious discussion of it in the general public. Not having the discussion before doing anything was bad, and another 6 weeks have gone by and we're still not addressing it. How many more deaths and trillions of dollars does it have to cost before we even ask if we're on the right path?
Yes, in an ideal world everyone who is sick doesn't get in contact with others and none of that is needed. We don't live in such a world. Scenarios need to be realistic to be relevant.
I've certainly never suggested any such thing. I can't fathom where you got that from except to speculate that you have "social distancing" blinders on and aren't considering the other options. If true, don't feel bad: that's where the West's head is at right now in general. And that's basically my entire complaint that we're discussing here.
Paywall :(
Huh - they went free for COVID-19 coverage, but I guess it's just in the US. No need for the frowney face; when I do this to someone else, I provide quotes as needed. :wink: Key quote:
JAMA via NYT said:
Now five weeks into the crisis, a paper published in the journal JAMA about New York state’s largest health system suggests a reality that, like so much else about the novel coronavirus, confounds our early expectations.
Researchers found that 20 percent of all those hospitalized died — a finding that’s similar to the percentage who perish in normal times among those who are admitted for respiratory distress.

But the numbers diverge more for the critically ill put on ventilators.
A total of 1,151 patients required mechanical ventilators. Of the 320 for whom final outcomes are known (either death or discharge), 88 percent died. That compares with about 80 percent of patients who died on ventilators before the pandemic, according to previous studies — and with the death rate of about 50 percent that some critical-care doctors had optimistically hoped for when the first cases were diagnosed.
NYC is an example of a hospital system that can't treat patients well because there are so many of them, that can easily skew statistics.
I'm not sure that's true. Yes, I know we've seen the videos and photos of hospitals with patients in the hallways, but field hospitals went unfilled by a wide margin. But regardless, note in particular the stat that even in normal times, an 80% death rate is typical.
I don't have an oxygen mask at home. Do you?

Sure, patients with a higher risk are more likely to have an oxygen system somewhere, and there are portable systems, and you can visit the patients at home and whatever
No, but I'm reasonably certain if shipped one I could figure out how to wear it. And yes, I have a couple of relatives with COPD who wear masks or tubes most of the time.
...but in all these cases we are back to the original problem: We need some resources for COVID-19 patients, resources that are now missing elsewhere. You can't have the full healthcare system capacity for all other diseases and oxygen masks for every COVID-19 patient who might need one at the same time. In your scenario "what if we let all patients handle that on their own" people who need an oxygen mask might die because they don't get one.
Of course. Again, I'm not suggesting we actually do this, I'm suggesting it as a logic exercise to predict the upper bound of additional deaths from hospital overcrowding. If you've got a better method or better yet a source that's actually attempted to model it, I'm all ears.

Remember, this is not my claim we're discussing: "Flattening the curve" was predicated on preventing deaths from hospital overcrowding. In order to evaluate that choice, we need to know how many deaths it prevents. In a perfect world, the people proposing the actions would be backing their proposals with models, but instead we have replaced that with the infinite value of human life assumption. I don't think I've ever seen any effort by proponents of flattening the curve to show how many lives it could save via avoiding hospital overcrowding.
I have mentioned this several times in this thread (at least from March on).
I note that while in that post you put some numbers to hospital bed requirements, you vaguely alluded to but made no attempt to quantify the additional deaths of overwhelming them.
Not if they just died because hospitals were overwhelmed.
As you showed, you made this claim at least as early as March 1, without attempting to quantify it. How can you claim it is important to not overwhelm the healthcare system if you can't or won't put a number on the death toll that will result?
Well, the 1000 deaths per day could easily be 500, or 200, or 50, or even lower. That depends on (a) when actions were taken and (b) how they evolve over time.
It doesn't depend much on when the actions were originally taken, because we're "resetting" when we re-open. It just impacts the duration of the shutdown until re-opening is possible. In general the goal is to get the case rate down to where contact-tracing will successfully hold down the number of new cases. In my area, that criteria is 50 cases per day per 100,000 people, and the effect is that different places will open at different times versus the start, which happened in the entire state pretty much at once.

But 50 cases per day per 100,000 people if applied nationwide is 165,000 cases per day, or ~3,800 deaths per day. V50 is right that some places like NYC won't be able to support that rate indefinitely, but there are still some prime targets available. And that's if contact tracing works, which I don't think it will. And again, to my earlier point; today's models are predicting that it won't work and we're going to re-open anyway.
Plenty of people say we'll probably look at a half-open-half-closed state for a while. How open, and what exactly are the least impactful things to keep closed? Time will tell.
So, as before: we should be weighing the options and making decisions based on cost/benefit.
Extinction might work for islands, but closing land borders completely (or requiring quarantine for everyone crossing) is unrealistic.
Don't tell China or Korea that. But seriously, there's nothing special about a land border in most of the world. They are controlled and can be closed.
 
  • #2,850
Regarding mortality on ventilators, here's what I posted ~1 month ago based mostly on observations from China, which are roughly consistent with the numbers @russ_watters has cited:

Based on published data from China, it's not actually clear to me how much ventilators are helping at this point. Here are statistics from two studies in China that look at critically ill cases of COVID-19:
32 patients required invasive mechanical ventilation, of whom 31 (97%) died.
https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(20)30566-3/fulltext

29 (56%) of 52 patients were given non-invasive ventilation at ICU admission, of whom 22 (76%) required further orotracheal intubation and invasive mechanical ventilation. The ICU mortality rate among those who required non-invasive ventilation was 23 (79%) of 29 and among those who required invasive mechanical ventilation was 19 (86%) of 22.
https://www.thelancet.com/journals/lanres/article/PIIS2213-2600(20)30110-7/fulltext

Of course, other studies have shown ventilators can more generally be helpful against acute respiratory distress syndrome (a study of 178 H1N1 cases from 2009, which shows a 46% mortality of patients on mechanical ventilation, and a wider meta-analysis of treatments for ARDS finds a 34.6% mortality of patients with severe ARDS treated with mechanical ventilation or ECMO). However, there is reason to think that COVID-19 is different: 1) Ventilators treat the symptoms but not the cause of the problems. If the virus is still active in the body, ventilators ultimately won't solve that problem. 2) It has been reported that the virus could infect other organs of the body, so while ventilation could solve issues with lung function, the virus may cause death due to damage to other organs such as the heart, liver or kidneys.

In both cases, it seems like the best candidates for ventilators would be those whose bodies seem to be getting the infection under control, whereas ventilation may not be so helpful to those whose immune systems have not been able to control the virus. This would suggest that better triage of cases rather than sharing ventilators would be a better strategy (though I don't know if it's possible to assess how well patients' immune systems are fighting the virus).

Ventilators would likely have higher effectiveness once good antiviral therapies that can control the infection are identified, so there is still good reason for the country to mass produce ventilators for treating COVID-19 patients.
 

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