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COVID-19 Pandemic: Transmissions, Deaths, Treatments, Vaccines, Interventions and More...

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Nay, I saw closer to 95% based on NYC having a prevalence of 30-35% of the total pop.
Look, I know you like to troll for fun, but could you at least not do that with important coronavirus data? NYC has 19.9% prevalence of the virus as per the completed antibody serological testing, shared by Cuomo on Saturday. The State is at 12.3% prevalence. A ton of other location/demographic data are in the video.

https://www.governor.ny.gov/news/am...-announces-results-completed-antibody-testing
 
Where are these numbers from? Is there a link/twitter account/something? I would like to see more of this.

Was just browsing some HCQ info on twitter and I have to say, there are more and more reports that it is effective if given early in the disease course.
Everything is more "effective" when given early in the disease course, anecdotally, because most people with mild symptoms get better no matter what. We won't know if HCQ or any other medication is truly effective early on until we see the results from placebo or standard-of-care controlled clinical studies.
 
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Pretty cool paper from the Netherlands using a mononclonal antibody to deactivate the coronavirus (and the SARS virus) in vitro in the lab. This approach is being used by many right now and involves some form of genetic engineering , i.e., it's not just a human antibody harvested from an infected/recovered person's plasma, which is what convalescent plasma provides. CP is very promising, but it's very labor intensive and not easily scaleable as a treatment for the millions who will be hospitalized worldwide by this and certainly not to billions as a preventative.

The engineered antibody approach can be scaled to millions fairly quickly, but billions will be a tough task (it can be used as a preventative - vaccines are usually much better for that as they "teach" the body to make the antibodies, rather than supplying the antibodies). The Regeneron approach I've discussed a few times uses transgenic mice that mimic human immune systems to find the right antibodies to stop the virus and these antibodies are then "manufactured" in mammalian cell cultures (large bioreactors) for mass production.

We should know a lot more about the safety and effectiveness of convalescent plasma in the next few weeks and should start to see results from clinical trials for a suite of engineered antibodies by mid/late summer. HCQ is not a cure, remdesivir will not be a cure (but will help some people), but antibodies could be a cure or very close to it...

https://www.bloomberg.com/news/arti...eate-antibody-that-defeats-coronavirus-in-lab
 
https://www.medrxiv.org/content/10.1101/2020.04.26.20081059v1.full.pdf

In this study, we found that patients in the chloroquine group experienced significantly faster and higher rate of viral suppression comparing to the non chloroquine group in both the full analysis and the post hoc stratified analysis. Even when the dose reduced to half, the benefit of chloroquine still remained (Figure 3). These findings indicate that chloroquine could be effective in treating patients with COVID-19. To our knowledge, this is the first and largest clinical study on chloroquine phosphate for treating COVID-19 to date.



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This situation was from a couple weeks ago, but I know a kid who was in the hospital, on oxygen, but not a ventilator, with all the symptoms, who was testing negative for Covid.

While his mom had no symptoms but was testing positive.
 
https://www.medrxiv.org/content/10.1101/2020.04.26.20081059v1.full.pdf

In this study, we found that patients in the chloroquine group experienced significantly faster and higher rate of viral suppression comparing to the non chloroquine group in both the full analysis and the post hoc stratified analysis. Even when the dose reduced to half, the benefit of chloroquine still remained (Figure 3). These findings indicate that chloroquine could be effective in treating patients with COVID-19. To our knowledge, this is the first and largest clinical study on chloroquine phosphate for treating COVID-19 to date.



EXNAdsaUEAARIk0
Thanks for posting, looks promising!
 
Only thing with chloroquine is that everyone is already using it, so it’s not like this would really make an impact. Maybe doctors would prescribe it earlier and faster?
 
Only thing with chloroquine is that everyone is already using it, so it’s not like this would really make an impact. Maybe doctors would prescribe it earlier and faster?
Yes, if there is established benefit, then we can start folks on it as soon as they have symptoms/test positive.
 
This is a nice story about people in Ireland raising $1.8MM for the Navajo/Hopi tribes who are being hit very hard by the coronavirus. The Irish have responded with gusto, as they feel they're paying a debt from when the Choctaw tribe donated $150 to the Irish in 1847 during the great potato famine. Wish we had more nice stories...

https://www.independent.ie/world-ne...ir-famine-debt-to-choctaw-tribe-39178123.html
 
This is a nice story about people in Ireland raising $1.8MM for the Navajo/Hopi tribes who are being hit very hard by the coronavirus. The Irish have responded with gusto, as they feel they're paying a debt from when the Choctaw tribe donated $150 to the Irish in 1847 during the great potato famine. Wish we had more nice stories...
As they always do.
 
Latest (4/27) projections are out from the U of Washington/IHME; bulleted highlights and graphics below.
  • The model shows a fairly significant bump back up in projected US deaths vs. the 4/21 run, i.e., from 66.0K on 4/21 to 74.1K on 4/27 and this is likely to go up to at least 80K, IMO.
  • The progression of total projected US deaths for each model run is as follows: from 93K on 4/1 to 82K on 4/5 to 60K on 4/7 to 69K on 4/13 to 60.3K on 4/17 to 66.0K on 4/21 and back up to 74.1K on 4/27.
  • The projected NY deaths are now 23.9K; the progression of model estimates has been as follows: from 14.5K in the 4/13 run to 21.8K on 4/17, to 23.7K on 4/21 and now 23.9K on 4/27. The early jump was due to NY now counting many more "presumed" COVID deaths without actual positive viral tests (mostly in hospitals with some in nursing homes), as per the update notes.
  • The projected NJ deaths are now 7.2K; the progression of model estimates has been as follows: from 4.4K in the 4/13 run to 6.9K on 4/17 to 7.1K on 4/21 to 7.2K on 4/27.
  • The US projected deaths jumped by 8.1K, but this latest jump is not due to NY/NJ jumps (only up 0.3K), as the projection for the rest of the US went up by 7.8K.
    • Here's what the IHME said about this: "At least part of this increase is due to many states experiencing flatter and thus longer epidemic peaks. Further, updated data indicate that daily COVID-19 deaths are not falling very quickly after the peak, leading to longer tails for many states’ epidemic curves. In combination – less abrupt peaks and slower declines in daily COVID-19 deaths following the peak – many places in the US could have higher cumulative deaths from the novel coronavirus."
  • When I made my 40-50K prediction for US deaths on 4/5, I was assuming we'd have very aggressive social distancing everywhere in the US, which hasn't quite been the case, plus I was probably just being a bit too hopeful we'd do better. Should have stayed with my original guess of ~85K US deaths from 3/26, which assumed modest SD (enough to limit infections to 5% of the population with an infection fatality rate of 0.7%; although we now know that way more than 5% are likely infected in some locations, like NY with 15% with antibodies).
Keep in mind that these projections are for the "first wave" of the outbreak, through about August and they assume that we will continue current social distancing practices and will start easing back on those soon, but only in conjunction with an improved containment infrastructure of testing, contact tracing and quarantining, as per the excerpt below from their model page. The fact that some states are now looking to ease back sooner will likely mean that deaths in those states will end up higher than modeled - how many more is the big question - and that's why the IHME has stopped their model projections after the dates where those states drop distancing controls.

http://www.healthdata.org/covid/updates

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The latest (5/4) projections are out from the U of Washington/IHME and they're very bad, with the US deaths predicted to jump from the 72K in the 4/27 model to 134K through the end of July in the 5/4 model run. NY deaths are modeled to increase from 24K in the 4/27 model to 32K in the 5/4 model (more distancing modeled, hence the smaller increase vs. the US) and NJ deaths are modeled to increase from 7,2K in the 4/27 mode to 16K in the 5/4 model (not clear why NJ wasn't treated like NY).

They've completely overhauled the model and are now factoring in an increase in deaths due to expected significant increases in transmissions related to significant relaxation of stay at home policies and social distancing efforts, as well as slower than expected declines in deaths everywhere, once peaks are reached and passed. Haven't had time to go through it all, as there's a ton of new info, but did include the updated US/NY/NJ graphics. Will update this post with more later...

In addition, the Times obtained an internal CDC report from internal modeling, which is also predicting roughly a doubling of deaths from the current 68K (that would be 136K) by mid-summer, but the Administration is pushing back on that saying the report hasn't been fully vetted yet. However, President Trump on Sunday said deaths could reach 100K, so it certainly seems like forecasts are getting worse, even if not final yet. In that CDC report, it shows deaths per day increasing from the current ~2000/day to over 3000 per day by June.

https://covid19.healthdata.org/united-states-of-america
https://www.nytimes.com/2020/05/04/us/coronavirus-live-updates.html#link-32993cff
https://int.nyt.com/data/documenthe...f7319f4a55fd0ce5dc9/optimized/full.pdf#page=1

As I have been saying for the past week or so and which the Wharton model clearly confirmed on Friday, if restrictive policies are relaxed and social distancing lessened significantly, as looks to be happening, without an infrastructure to test massively and rapidly to detect outbreaks and to trace contacts and isolate positives and contacts, like South Korea and Taiwan have done (which we don't appear to be ready/willing to implement), deaths will get far worse than most have been projecting (including me). If one assumes a 60% infection endpoint (near herd immunity) and a very conservative 0.2% infection fatality rate (NY is at 0.7% now), then about ~400K US deaths would occur in the next 6-12 months if we open it all back up, but if we use an IFR of 0.5% (plausible), the estimate would be 1000K US deaths, which is pretty damn close to Wharton's 950K estimate in their model with limited controls/distancing.

https://rutgers.forums.rivals.com/t...social-distancing.191275/page-94#post-4539724

The only other hope we have to not hit the modeled numbers of deaths in the next 2 months is if we have a bona fide cure (or close to it) in place in the next month or so. We all better hope convalescent plasma is as good as the anecdotal reports are indicating, since that can help now, whereas even the engineered antibodies, which could be available by late summer, will be too late to prevent many of these deaths, and a vaccine is at least several more months beyond late summer.


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The latest (5/4) projections are out from the U of Washington/IHME and they're very bad, with the US deaths predicted to jump from the 72K in the 4/27 model to 134K through the end of July in the 5/4 model run. NY deaths are modeled to increase from 24K in the 4/27 model to 32K in the 5/4 model (more distancing modeled, hence the smaller increase vs. the US) and NJ deaths are modeled to increase from 7,2K in the 4/27 mode to 16K in the 5/4 model (not clear why NJ wasn't treated like NY).

They've completely overhauled the model and are now factoring in an increase in deaths due to expected significant increases in transmissions related to significant relaxation of stay at home policies and social distancing efforts, as well as slower than expected declines in deaths everywhere, once peaks are reached and passed. Haven't had time to go through it all, as there's a ton of new info, but did include the updated US/NY/NJ graphics. Will update this post with more later...

In addition, the Times obtained an internal CDC report from internal modeling, which is also predicting roughly a doubling of deaths from the current 68K (that would be 136K) by mid-summer, but the Administration is pushing back on that saying the report hasn't been fully vetted yet. However, President Trump on Sunday said deaths could reach 100K, so it certainly seems like forecasts are getting worse, even if not final yet. In that CDC report, it shows deaths per day increasing from the current ~2000/day to over 3000 per day by June.

https://covid19.healthdata.org/united-states-of-america
https://www.nytimes.com/2020/05/04/us/coronavirus-live-updates.html#link-32993cff
https://int.nyt.com/data/documenthe...f7319f4a55fd0ce5dc9/optimized/full.pdf#page=1

As I have been saying for the past week or so and which the Wharton model clearly confirmed on Friday, if restrictive policies are relaxed and social distancing lessened significantly, as looks to be happening, without an infrastructure to test massively and rapidly to detect outbreaks and to trace contacts and isolate positives and contacts, like South Korea and Taiwan have done (which we don't appear to be ready/willing to implement), deaths will get far worse than most have been projecting (including me). If one assumes a 60% infection endpoint (near herd immunity) and a very conservative 0.2% infection fatality rate (NY is at 0.7% now), then about ~400K US deaths would occur in the next 6-12 months if we open it all back up, but if we use an IFR of 0.5% (plausible), the estimate would be 1000K US deaths, which is pretty damn close to Wharton's 950K estimate in their model with limited controls/distancing.

https://rutgers.forums.rivals.com/t...social-distancing.191275/page-94#post-4539724

The only other hope we have to not hit the modeled numbers of deaths in the next 2 months is if we have a bona fide cure (or close to it) in place in the next month or so. We all better hope convalescent plasma is as good as the anecdotal reports are indicating, since that can help now, whereas even the engineered antibodies, which could be available by late summer, will be too late to prevent many of these deaths, and a vaccine is at least several more months beyond late summer.


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Those curves ain't flattening

What happened to those models of CV basically being gone by now in NJ?

A sucker is born every minute.


Listen folks, this thing isn't flattening or going away until we get a vaccine.

I see a big surge coming with recent developments

Simple as that
 
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I think this area will continue to see a gradual decline. Think some other parts of the country are going to feel some pain over the next few months unless the warm weather really helps.
 
Martenson presents a mixture of useful info and biased info. His pro HCQ bias is almost off the charts. He almost never discusses any of the inconclusive or bad clinical trials (and there are more of them than the couple of potentially positive ones). And his slides on Lupus from that Italian site are just bad science, since he uses a completely unsubstantiated comment as if it's accepted/reviewed data and ignores the wealth of info showing that lupus patients on HCQ are not being protected against getting COVID (see my post linked below), which is why the Lupus Foundation of America said, "There is no evidence that taking hydroxychloroquine (Plaquenil) is effective in preventing a person from contracting the coronavirus."

https://rutgers.forums.rivals.com/t...social-distancing.191275/page-89#post-4531982

Furthermore, most medical experts and clinicians I've seen weighing in on HCQ have been at best neutral on it and at worst think it's ineffective and possibly unsafe to boot. Perhaps the latest medical literature review and analysis on this published today, excerpted below, will convince doctors that this drug should really not be used until we see the results from ongoing controlled clinical trials. We'll see.

https://faseb.onlinelibrary.wiley.com/doi/full/10.1096/fj.202000919

As hospitals around the globe have filled with patients with COVID‐19, front line providers remain without effective therapeutic tools to directly combat the disease. The initial anecdotal reports out of China led to the initial wide uptake of HCQ and to a lesser extent CQ for many hospitalized patients with COVID‐19 around the globe. As more data have become available, enthusiasm for these medications has been tempered. Well designed, large randomized controlled trials are needed to help determine what role, if any, these medications should have in treating COVID‐19 moving forwards.

While HCQ has in vitro activity against a number of viruses, it does not act like more typical nucleoside/tide antiviral drugs. For instance, HCQ is not thought to act on the critical viral enzymes including the RNA‐dependent RNA polymerase, helicase, or proteases. Despite in vitro activity against influenza, in a large high quality randomized controlled trial, it showed no clinical benefit, suggesting that similar discordance between in vitro and in vivo observations is possible for SARS‐CoV and SARS‐CoV‐273 (Table 3).

Additionally, HCQ and especially CQ have cardiovascular and other risks, particularly when these agents are used at high doses or combined with certain other agents. While large scale studies have demonstrated that long‐term treatment with CQ or HCQ does not increase the incidence of infection, caution should be exercised in extrapolating safety from the studies of chronic administration to largely healthy individuals to estimate the risk associated with short‐course treatment in acutely and severely ill patients. Furthermore, the immunologic actions that make HCQ an important drug for the treatment of auto‐immune diseases might have unintended consequences when it is used for patients with COVID‐19. The effects of this immune modulation on patients with COVID‐19 are unknown at this time, including a potential negative impact on antiviral innate and adaptive immune responses which need to be considered and studied.

For all these reasons, and in the context of accumulating preclinical and clinical data, we recommend that HCQ only be used for COVID‐19 in the context of a carefully constructed randomized clinical trial. If this agent is used outside of a clinical trial, the risks and benefits should be rigorously weighed on a case‐by‐case basis and reviewed in light of both the immune dysfunction induced by the virus and known antiviral and immune modulatory actions of HCQ.

Here's the latest balanced analysis from Derek Lowe's In the Pipeline on HCQ. He's certainly intrigued by the retrospective (another one; not controlled) Wuhan study showing the mortality benefit from HCQ use in patients on ventilators (46% in the 520 who didn't receive HCQ vs. 18% in the 48 in the HCQ arm - an unusually small population comparator). Note that all of the studies discussed in this post are linked in the blog article, so I won't include them here.

He also notes that in people on ventilators during the "cytokine storm" the mechanism would be similar to HCQ’s use in rheumatoid arthritis and lupus: suppressing cytokine signaling in the immune response, which also seems to be corroborated by the observation that patient IL-6 levels declined significantly in the treatment group, but not in the other cohort (which is completely different from what Raoult and others have been claiming about it being useful in stopping viral replication). Would be fantastic if this can be confirmed.

He then talks about the "Italian" data on HCQ use preventing coronavirus in lupus patients and how the numbers simply don't add up when looking at publicly available data - another reason why this needs to be published if true - and it would be in complete disagreement with the study I linked to last week showing that lupus patients on HCQ have significantly greater COVID infection rates than those with RA. Something is not adding up there.

Finally, he also talks about a small trial at a Cleveland Clinic where viral levels were not improved by dosing with HCQ (in contrast to what Raoult saw). And then he discusses studies in NYC and LA showing significant cardiac side effects in those dosed with HCQ/AZ. All three of these were retrospective studies, like the Wuhan study (and most others for HCQ).

The bottom line is we still simply do not know if HCQ or HCQ combos are safe and effective in COVID patients and we need the data from controlled clinical trials. His last line was spot on: "Make of this what you will. We have more controlled trial data coming, and the arguing can re-commence when it hits. . ."

https://blogs.sciencemag.org/pipeli...ydroxychloroquine-update-may-4#comment-318431
 
This is a nice story about people in Ireland raising $1.8MM for the Navajo/Hopi tribes who are being hit very hard by the coronavirus. The Irish have responded with gusto, as they feel they're paying a debt from when the Choctaw tribe donated $150 to the Irish in 1847 during the great potato famine. Wish we had more nice stories...

https://www.independent.ie/world-ne...ir-famine-debt-to-choctaw-tribe-39178123.html

Great story. Kudos to the generosity of all those in Ireland that gave a helping hand to the original Americans that have to start a gofundme site to buy something as basic as drinkable water.

GO RU
 
One thing I've been trying to find out and can't seem to find any real answer is: Do we really know the transmission rates under different scenarios? Inside outside, inside with air-conditioning on (greater air flow inside). With and without masks? Does anybody have a link to a better study?

Most of our models use the transmission rates to assume spread and thus ultimately the number of deaths. But without a full understanding of how it's transmitted a lot of this is just guess work.

https://www.livescience.com/how-covid-19-spreads-transmission-routes.html
 
I was wondering when the Washington model would correct itself. For weeks they have been predicting the death total from around 67-75K even as we fast approached those numbers with no significant reduction in daily reported cases. Told my wife two weeks ago that i didn't see how the model wasn't predicting 100K. The deflating news is that most people expected a "hump" with regards to the daily cases but instead we see a plateau with a really long tail.
 
One thing I've been trying to find out and can't seem to find any real answer is: Do we really know the transmission rates under different scenarios? Inside outside, inside with air-conditioning on (greater air flow inside). With and without masks? Does anybody have a link to a better study?

Most of our models use the transmission rates to assume spread and thus ultimately the number of deaths. But without a full understanding of how it's transmitted a lot of this is just guess work.

https://www.livescience.com/how-covid-19-spreads-transmission-routes.html

Short answer: We don't really know and a lot of this is just guess work, though it is based on educated guesses.

This virus is pretty new, so there hasn't really been a chance to really analyze it. So in building models, epidemiologists need to make assumptions based on what they know about other viruses. Then they modify those assumptions based on what they see in the real world with this virus.
 
Food for thought:

WSJ Editorial Board: Coronavirus crisis -- Why targeted lockdowns are better
https://www.foxnews.com/opinion/coronavirus-targeted-lockdowns

Americans are paying a fearsome price for the government’s strict lockdowns of American life and commerce, and now comes evidence that targeted lockdowns aimed at protecting those who are most vulnerable to the coronavirus would be better for public health and the economy.

That conclusion comes in a new working paper from the National Bureau of Economic Research by MIT economists Daron Acemoglu, Victor Chernozhukov, Iván Werning and Michael Whinston. The authors compared relative risks of infection, hospitalization and death for the young, the middle-aged and those over age 65. They then compared strict lockdowns that treat all age groups the same with a more targeted strategy that protects the old.

“Interestingly, we find that semi-targeted policies that simply apply a strict lockdown on the oldest group can achieve the majority of the gains from fully-targeted policies,” the authors write. “For example, a semi-targeted policy that involves the lockdown of those above 65 until a vaccine arrives can release the young and middle-aged groups back into the economy much more quickly, and still achieve a much lower fatality rate in the population (just above 1% of the population instead of 1.83% with the optimal uniform policy).”

Interesting is right. The universal lockdowns of March and April have been aimed specifically at preventing hospitals from being overrun with Covid-19 patients and thus reducing the death rate. But the paper says a targeted lockdown aimed at seniors combined with other policies like social distancing will reduce the death rate by more.
 
I was wondering when the Washington model would correct itself. For weeks they have been predicting the death total from around 67-75K even as we fast approached those numbers with no significant reduction in daily reported cases. Told my wife two weeks ago that i didn't see how the model wasn't predicting 100K. The deflating news is that most people expected a "hump" with regards to the daily cases but instead we see a plateau with a really long tail.

Which then begs the question, is what we are doing effective or overkill? Looking for answers to this I searched for number of grocery store workers who have caught covid, as these are workers currently have the most interactions with people and grocery stores have been open and working throughout this pandemic. All I could find was this report quoting the United Food and Commercial Workers International Union (UFCW) which represents 1.3 million workers.

At least 30 grocery workers in the U.S. have died of COVID-19, according to the UFCW. That toll includes Leilani Jordan, a 27-year-old clerk at a Giant in Maryland, and Wando Evans, a 51-year-old Walmart worker. About 30,000 more supermarket employees are sick with the respiratory disease around the U.S., the union estimates.

Now I'm sure the numbers are not exact, but I would suspect the Union would be erring on the side of caution. But 30,000 confirmed out of 1.3 million doesn't seem to be any higher than the general population under lockdown, which I believe has had the effect of reducing the transmission rates. And given that grocery store workers are engaging with many more people while working together for longer hours I would suspect that they would see higher numbers getting sick but looking at the number above it seems that the number are on par if not lower.

So my point is if we open up more retail businesses with the same rules as grocery stores, looking at the above it doesn't seem that we would see any increase.

But I could be wrong.
 
Like magic...
Well they say a virus ideally doesn’t want to kill its host which makes sense so it can keep on replicating. Kill the host and the virus can’t replicate. So if enough infection happens I suppose a sort of viral evolution could weaken it so the host survives longer and therefore the virus’ ability to replicate continues as well.

I don’t know that it happens with all viruses and to what degree but it does make sense for their own prolonged survival.
 
Some possible good news. Scientists finding some possible mutations in COVID-19 similar to what happened with SARS that showed it was weakening.

https://www.dailymail.co.uk/health/...ting-weaker.html?ito=native_share_article-top
Certainly can't rely on this, but man, we could use a break. Link to the communication (not quite a full "paper") is below and the Mail article is more informative in some ways, as it included some comments from the lead author.

https://jvi.asm.org/content/jvi/early/2020/04/30/JVI.00711-20.full.pdf
 
Food for thought:

WSJ Editorial Board: Coronavirus crisis -- Why targeted lockdowns are better
https://www.foxnews.com/opinion/coronavirus-targeted-lockdowns

Americans are paying a fearsome price for the government’s strict lockdowns of American life and commerce, and now comes evidence that targeted lockdowns aimed at protecting those who are most vulnerable to the coronavirus would be better for public health and the economy.

That conclusion comes in a new working paper from the National Bureau of Economic Research by MIT economists Daron Acemoglu, Victor Chernozhukov, Iván Werning and Michael Whinston. The authors compared relative risks of infection, hospitalization and death for the young, the middle-aged and those over age 65. They then compared strict lockdowns that treat all age groups the same with a more targeted strategy that protects the old.

“Interestingly, we find that semi-targeted policies that simply apply a strict lockdown on the oldest group can achieve the majority of the gains from fully-targeted policies,” the authors write. “For example, a semi-targeted policy that involves the lockdown of those above 65 until a vaccine arrives can release the young and middle-aged groups back into the economy much more quickly, and still achieve a much lower fatality rate in the population (just above 1% of the population instead of 1.83% with the optimal uniform policy).”

Interesting is right. The universal lockdowns of March and April have been aimed specifically at preventing hospitals from being overrun with Covid-19 patients and thus reducing the death rate. But the paper says a targeted lockdown aimed at seniors combined with other policies like social distancing will reduce the death rate by more.

If we could wave a magic wand and figure out how to isolate those over 65 and those over about 50 with underlying conditions (obesity, diabetes, respiratory problems, etc.), while allowing the rest of the population to get back to daily life, that would probably be a reasonable path forward, especially once a lot more under 50 became infected and immune/non-contagious, leading to much lower risk of infection among the elderly/infirm. I actually suggested early on that we should keep all the kids in school (given the very low death rates under 18 of much less than 0.1% of total deaths) for 4 weeks with young teachers, so they's all get infected/immune and then be able to go home and not infect their parents/grandparents, but knew there was no way anyone would agree to that.

However, the problem is we have 50MM people over 65 and probably about another 30MM between 50 and 65 with underlying conditions (about half of the 65 MM between 50 and 65). It's not easy to figure out a way to protect 80MM people. It would probably be an effort comparable to what South Korea has been doing to effectively protect everyone, i.e., install an infrastructure capable of massive/fast testing and tracing/isolating of new cases to stamp out flare-ups.

They've done this and have a reasonably functioning society with no lockdowns and most back at work - although everyone wears masks outside the home and they do practice some social distancing. Why not do that and protect everyone? Their death rate, translated to our population would be only about 1000-2000 US deaths vs. the 400K+ deaths we're headed towards if we totally reopen everywhere (or up to 950-1000K depending on the true infection fatality rate) and don't have a cure in the next several months. Also, about 5% of total deaths are in those under 50, so even that approach could result in 20K-50K deaths in those under 50, which isn't trivial. There was a thread on this approach on the CE board...

https://rutgers.forums.rivals.com/threads/the-data-is-in-—-stop-the-panic-and-end-the-total-isolation.195419/
 
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Knew about the fatigue that could last quite awhile after having tested negative. Didn't remember hearing about fevers that could last weeks even after having tested negative twice and blood test normal and xrays normal.

https://www.nbcnews.com/health/heal...ring-covid-19-patients-weeks-illness-n1197806

Another article about mutations of the virus this time about it being more contagious than the previous versions but not necessarily more lethal.

From the article:

The new strain appeared in February in Europe, migrated quickly to the East Coast of the United States and has been the dominant strain across the world since mid-March, the scientists wrote.

In addition to spreading faster, it may make people vulnerable to a second infection after a first bout with the disease, the report warned.

The 33-page report was posted Thursday on BioRxiv, a website that researchers use to share their work before it is peer reviewed, an effort to speed up collaborations with scientists working on COVID-19 vaccines or treatments. That research has been largely based on the genetic sequence of earlier strains and might not be effective against the new one.

The Los Alamos study does not indicate that the new version of the virus is more lethal than the original. People infected with the mutated strain appear to have higher viral loads. But the study's authors from the University of Sheffield found that among a local sample of 447 patients, hospitalization rates were about the same for people infected with either virus version.


https://www.yahoo.com/news/mutant-coronavirus-emerged-even-more-110046843.html
 
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If we could wave a magic wand and figure out how to isolate those over 65 and those over about 50 with underlying conditions (obesity, diabetes, respiratory problems, etc.), while allowing the rest of the population to get back to daily life, that would probably be a reasonable path forward, especially once a lot more under 50 became infected and immune/non-contagious, leading to much lower risk of infection among the elderly/infirm. I actually suggested early on that we should keep all the kids in school (given the very low death rates under 18 of much less than 0.1% of total deaths) for 4 weeks with young teachers, so they's all get infected/immune and then be able to go home and not infect their parents/grandparents, but knew there was no way anyone would agree to that.

However, the problem is we have 50MM people over 65 and probably about another 30MM between 50 and 65 with underlying conditions (about half of the 65 MM between 50 and 65). It's not easy to figure out a way to protect 80MM people. It would probably be an effort comparable to what South Korea has been doing to effectively protect everyone, i.e., install an infrastructure capable of massive/fast testing and tracing/isolating of new cases to stamp out flare-ups.

They've done this and have a reasonably functioning society with no lockdowns and most back at work - although everyone wears masks outside the home and they do practice some social distancing. Why not do that and protect everyone? Their death rate, translated to our population would be only about 1000-2000 US deaths vs. the 400K+ deaths we're headed towards if we totally reopen everywhere (or up to 950-1000K depending on the true infection fatality rate) and don't have a cure in the next several months. Also, about 5% of total deaths are in those under 50, so even that approach could result in 20K-50K deaths in those under 50, which isn't trivial. There was a thread on this approach on the CE board...

https://rutgers.forums.rivals.com/threads/the-data-is-in-—-stop-the-panic-and-end-the-total-isolation.195419/
We should have done this to begin with, but way too many CLs. By the way, UK's reopening plan calls for everyone to return to life and work except for people over 70+ or obese (the 2 biggest risk groups). Interesting.
 
We should have done this to begin with, but way too many CLs. By the way, UK's reopening plan calls for everyone to return to life and work except for people over 70+ or obese (the 2 biggest risk groups). Interesting.
Should have done what to begin with? I hope you mean what SK did and not what the WSJ is advocating, unless you simply don't care about deaths. And what's a CL?
 
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