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.
  • #4,651
mfb said:
That brings some clarification to the delivered/distributed question. Pfizer never ships "to the US", they ship to individual sites on request. Which means we can't really judge how many they could ship. If the sites can't vaccinate more people they won't request more doses.
For Moderna we don't know.

I don't even know which "problem" you see.
Two ways to look at the problem:
  • The definition of "delivered" is unclear.
  • I've repeatedly asked you to define "delivered" and you won't do it.
Perhaps the answer to both is that you don't know and are declining to speculate. This is based on your prior statement:
The deliveries exceed the administered doses massively. That's incompatible with deliveries being the bottleneck. Based on your graph there are 20 million doses somewhere that have been delivered but not being used yet.
Since you seem to now recognize that "ship to the US" or "deliver to the US" as you put it before (again, the problem is with the word "deliver") is meaningless, then maybe we can identify where those 20 million doses are:
  1. In the "cold chain" (between the pfizer/Moderna warehouse and an arm).
  2. In a Pfizer/Moderna warehouse waiting to be shipped because nobody has requested/authorized shipment.
In the last couple of weeks of December there were indeed reports of problem #2, but I haven't heard any since. So I believe that all of the 'missing doses' are in transit between the pharma company and an arm.
I forgot you used 16 days, I added data points using a 14 day delay.
Fair enough. Anyway, I'll provide updates of that graph as we go since I think it's important. One feature that makes day-to-day tracking less useful is that the shipments ("distribution") happen in batches and the injections (administration) happens continuously. As a result, there is much more day-to-day variation in the "distributed" numbers. For now I'll track them daily to see if there are identifiable patterns, but otherwise it won't be useful to report them daily.
But after reading the article posted by Ygggdrasil I'm not sure how useful that approach is overall.
That article makes it pretty clear where the bottleneck is for now. In most places it's still local, only a few places could benefit from a larger production.
Please explain. I see nothing suggesting "the bottleneck is... still local". I'm not even sure it ever was "local". The data I'm seeing suggests the bottleneck is and always has been manufacturing capacity -- save for an initial fill of the 16 day distribution chain (which shouldn't really be called a bottleneck).
[edit] Oh, wait, it's this, isn't it:
That brings some clarification to the delivered/distributed question. Pfizer never ships "to the US", they ship to individual sites on request. Which means we can't really judge how many they could ship. If the sites can't vaccinate more people they won't request more doses.
Though you say "we can't really judge", you are actually judging/assuming there are ~20 million doses in Pfizer/Moderna warehouses that are ready to ship but with no place to send them, aren't you? Completely without evidence? It's those 20 million doses again. Rather than believing the face value data that says the 20 million doses are somewhere in the distribution pipeline, you're assuming they are in warehouses awaiting authorization to ship. Right?
 
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  • #4,652
russ_watters said:
Two ways to look at the problem:
  • The definition of "delivered" is unclear.
  • I've repeatedly asked you to define "delivered" and you won't do it.
Perhaps the answer to both is that you don't know and are declining to speculate.
"Delivered" doesn't even appear in the CDC page. I still don't know where you see a problem.
I used "deliveries" to refer to the "distributed" number once. Distribution implies something is getting delivered somewhere. Is this really what you are arguing about the whole time? That would be quite a waste of time.
Since you seem to now recognize that "ship to the US" or "deliver to the US" as you put it before (again, the problem is with the word "deliver") is meaningless
What?
then maybe we can identify where those 20 million doses are:
  1. In the "cold chain" (between the pfizer/Moderna warehouse and an arm).
  2. In a Pfizer/Moderna warehouse waiting to be shipped because nobody has requested/authorized shipment.
In the last couple of weeks of December there were indeed reports of problem #2, but I haven't heard any since. So I believe that all of the 'missing doses' are in transit between the pharma company and an arm.
Yes, that's what I said the whole time. Good that you came to the same conclusion now.
Please explain. I see nothing suggesting "the bottleneck is... still local". I'm not even sure it ever was "local".
See the part of the news I quoted. You focused on the few places that said they could use more doses, but skipped over what happens everywhere else.
 
  • #4,653
I hope I'm not posting journalistic exaggeration, but according to the BBC, Germany is limiting the AstraZeneca vaccine to people under 65. What is going on here?

https://www.bbc.co.uk/news/world-europe-55839885
 
  • #4,654
PeroK said:
I hope I'm not posting journalistic exaggeration, but according to the BBC, Germany is limiting the AstraZeneca vaccine to people under 65. What is going on here?

https://www.bbc.co.uk/news/world-europe-55839885

According to the first line of the article:
The committee cited "insufficient data" over its efficacy for older people.

At least in their published phase III clinical trial data, there does seem to be somewhat of a lack of data from individuals >65 (for example, the UK arm of the trial had no one over the age of 55). We know that vaccines tend to be less effective in older individuals, so it is scientifically valid to question whether the vaccine would be effective in older individuals. However, some questionable vaccine is probably better than no vaccine, so it would probably make more sense to wait until there is data showing that the vaccine is not effective (versus waiting for data to show that it is effective) before making the recommendation. The recommendation could make sense, however, if coupled with recommendations to reserve use the mRNA vaccines (Pfizer-BioNTech or Moderna) in older individuals.

Note that questioning the efficacy of the Oxford-AstraZeneca vaccine is not limited to Germany. For example, the US FDA has not yet issued an EUA to allow use of that vaccine in the US.
 
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  • #4,655
Is it OK to talk about herd immunity again?

https://www.nytimes.com/2021/01/27/...ronavirus-cases-testing-variants-vaccine.html
I mean, it’s not an artifact of testing for holiday travel and then a lag. There really are fewer cases each day in the United States. And we see that state to state to state. Literally every state except Rhode Island is seeing a decline in cases. So this looks like we really are seeing a turning point in the trajectory of the virus, that the number of cases has gone up to a peak and look like it’s coming down. We’ve reached the point now where about a third of the country has been infected. If you look at the total number of cases — 25 million cases. Basically, most epidemiological models now multiply that by about four to get the number of real infections we have in the country. So roughly we’re between 100 million cases and 110 million cases of actual infections, including the asymptomatic ones, which means that about a third of the country has been infected.
And when you reach the point in any herd, in any population where about a third of it is infected, the virus doesn’t stop, but the virus begins to slow down. Because in any herd, whether it’s a bunch of horses in a corral or it’s a bunch of people at a bar, about a third of them are immune to the virus. So the virus can’t just ricochet through that crowd as fast as it did months ago when everybody was susceptible to it.

Michael Barbaro
So behind this good news decline in the pandemic is the kind of awful reality that the Coronavirus has run wild through the United States and infected a third of our population and rendered a third of our population essentially immune.
 
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  • #4,656
High prevalence of infection is not necessarily protective in the long term. Researchers published a paper in Science, reporting that in the Brazilian city of Manaus, about 76% of the population had been exposed to COVID-19 by October (mostly during the surge of cases in April-May). Despite this, the city experience a huge resurgence beginning late December, and hospitalizations in Manaus have surpassed the levels seen during the April-May peak:
1611886531497.png

https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)00183-5/fulltext

Resurgence of the virus could be related to to emergence of a new lineage of the virus in that region containing mutations in the spike protein receptor binding domain that could allow the virus to escape antibody-based immunity (see the Lancet article cited above for more discussion).
 
  • #4,657
Ygggdrasil said:
High prevalence of infection is not necessarily protective in the long term. Researchers published a paper in Science, reporting that in the Brazilian city of Manaus, about 76% of the population had been exposed to COVID-19 by October (mostly during the surge of cases in April-May). Despite this, the city experience a huge resurgence beginning late December, and hospitalizations in Manaus have surpassed the levels seen during the April-May peak:
View attachment 277004
https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)00183-5/fulltext

Resurgence of the virus could be related to to emergence of a new lineage of the virus in that region containing mutations in the spike protein receptor binding domain that could allow the virus to escape antibody-based immunity (see the Lancet article cited above for more discussion).

Hopefully we can break this cycle with vaccines.

https://www.bbc.com/future/article/...iants-how-mutations-are-changing-the-pandemic
The Brazilian variant

The E484K mutation is proving to be important in another concerning variant that is now spreading around the world. The P1 variant contains 20 unique mutations, including the E484K change found in the South African variant. It seems to have first emerged in the city of Manaus, Amazonas state, in north Brazil, which has been particularly severely hit by the pandemic. The variant was also detected in four travellers who had flown from northern Brazil to Japan on 2 January this year.

This version of the virus also carries the N501Y mutation alongside the E484K change and one called K417T. Although the exact consequences of these mutations are still being investigated by scientists, the strain has been designated as a "Variant of Concern" by global health officials.

The emergence of the Brazilian P1 variant raises concerns that the virus may be developing anhttps://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html, according to the US's Centre for Disease Control and Prevention.

https://www.jpost.com/breaking-news/novavax-covid-19-vaccine-demonstrates-893-percent-efficacy-in-uk-phase-3-trial-657121
Novavax COVID-19 vaccine 89% effective in UK trial, less in South Africa
The study took place as the more highly transmissible UK variant was circulating, and the preliminary analysis suggests the vaccine was 85.6% effective against this mutation.
 
  • #4,658
nsaspook said:
Hopefully we can break this cycle with vaccines.

Moderna has also reported data suggesting that its vaccine could be less effective against the B.1.351 variant from South Africa:
In lab research that involved testing whether blood from people who had received the vaccine could still fend off different Coronavirus variants, scientists found that there was a sixfold reduction in the vaccine’s neutralizing power against the variant, called B.1.351, than against earlier forms of the coronavirus, Moderna reported.

There was no loss in neutralization levels against a different variant, called B.1.1.7, that was first identified in the United Kingdom.
https://www.statnews.com/2021/01/25/moderna-vaccine-less-effective-variant/

Unfortunately, we don't know enough about immunity to the virus to know how well the antibody reactivity tests done in the lab predict actual immunity, so it's hard to know how effective the Moderna vaccine would protect against the B.1.351 variant or other similar variants (such as the P.1 variant in Brazil). The Novavax data is worrying on that front, suggesting that these variants would at least partially escape immunity from either infection or vaccination.
 
  • #4,659
People might find the following from the WSJ interesting:
https://www.wsj.com/articles/new-pl...rges-after-year-of-study-missteps-11611680950

I listen to the WSJ everyday - it comes free with my membership to Audible. I found it useful - and a reminder of the 'falsehoods' I posted early in the pandemic - very humbling. It let my first few views through - but after that was behind a paywall so you may be able to view it. Can post a precis if people want.

Thanks
Bill
 
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  • #4,660
morrobay said:
Thanks, The compound interest formula, final=initial (1+%)^n is exactly how I am solving for the R0 from initial and final infections: 17(R0)^6 = 231. Then (R0)^6=13.58 and 6(logR0) = log 13.58. therefore log R0 =.1888 so R0 is 1.54 I just am asking if this is valid for solving R0. Note 6 infection periods from 24 days/4 day max.infectious period from initial infection.
Here is the correct way to confirm that the R0 1.54 , from compound interest formula above is valid: R0 = e^kt , y(24)= 17e^24k=231. So e^24k= 13.58. and 24k=ln13.58 then k= .1086 and tau=4days(as in post above) So R0 =e^.4347 = 1.54 in agreement with above independently. See estimation methods https://en.m.wikipedia.org/wiki/Basic_reproduction_number
 
  • #4,661
PeroK said:
I hope I'm not posting journalistic exaggeration, but according to the BBC, Germany is limiting the AstraZeneca vaccine to people under 65. What is going on here?

https://www.bbc.co.uk/news/world-europe-55839885
Germany is also using the Pfizer/BioNTech and the Moderna vaccine. People over 65 will get these two, the AstraZeneca vaccine will only be given to younger people for now.
Here is a German article.

Germany's vaccination rate reached 100,000 doses per day - about 2% of the population per month with two doses per person. That will cover the high risk groups, but a general vaccination campaign for the larger population will need far higher rates.
 
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  • #4,662
I heard a news report this evening that a case of B.1.351 variant from South Africa has been reported in the state of Maryland in someone who has no recent history of travel suggesting that the SA variant is spreading in the community.
https://governor.maryland.gov/2021/...ican-covid-19-variant-identified-in-maryland/
https://baltimore.cbslocal.com/2021/01/30/south-african-covid-19-variant-identified-in-maryland/

As of January 30, 2021, which means through yesterday, January 20, the US and top 10 states by COVID-19 cases:
Code:
       Cases     Deaths
US  25,697,888  430,120

CA   3,224,374   40,216
TX   2,349,262   36,320
FL   1,682,096    9,328
NY   1,399,863   35,036
IL   1,123,873   21,213
OH     892,781   11,121
PA     839,239   21,602
AZ     753,379   13,098
GA     746,867   14,196
NJ     692,543   21,455
The cases and deaths are confirmed and probable reported by the states and on CovidTracking.com

https://ncov2019.live/data/unitedstates - reports greater numbers, especially for NY state.
Johns Hopkins also reports slightly greater estimates: 26,052,135 cases with 439,347 deaths in the US.

The UK variant has been identified in 30 states with 434 cases, according to the CDC, with South Carolina reporting their first case today, and Delaware reporting three cases as of yesterday. As of Tuesday, January 26, Medscape reported the UK variant in 24 states in the US.
https://www.cdc.gov/coronavirus/2019-ncov/transmission/variant.html (30 states with 434 cases of UK variant as of Jan. 30) - page will be updated so expect a different number by Monday.
https://www.medscape.com/viewarticle/944739

Unless more robust treatments are available, I expect the number of fatalities due to Covid-19 in the US to reach 500K by the end of February.December 30, 2020 - Missouri boy, 3, suffers a stroke after testing positive for COVID-19
https://www.kmbc.com/article/missou...after-testing-positive-for-covid-19/35101361#

January 29, 2021 - New Mexico Girl, 4, Left Paralyzed After Contracting COVID-19 and Developing a Rare Neurological Disorder (8 months in hospital)
https://www.msn.com/en-us/health/medical/new-mexico-girl-4-left-paralyzed-after-contracting-covid-19-and-developing-a-rare-neurological-disorder/ar-BB1ddR09
 
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  • #4,664
mfb said:
"Delivered" doesn't even appear in the CDC page. I still don't know where you see a problem.
That's the problem. You've repeatedly cited "delivered" vaccines with few or no or corresponding statistics or even a clear definition. At best, you aren't being careful in your word usage.
I used "deliveries" to refer to the "distributed" number once. Distribution implies something is getting delivered somewhere. Is this really what you are arguing about the whole time? That would be quite a waste of time...

Yes, that's what I said the whole time [that the "missing doses" are between a warehouse and an arm]. Good that you came to the same conclusion now.
No "distributed" does not mean/imply "delivered" except perhaps in corporate spin. That may be the root of the problem. "Distributed" is the start and "delivered" is the end.

But if you think we are now in agreement (doubt it) I guess it would have been better for you to acknowledge you made a mess of things earlier, but if that's it, I'll take it. But I'm not sure it's clear, so I'll re-post where this started, for clarity:
If it's so easy [injecting a million a day], why isn't it done? The deliveries exceed the administered doses massively. [stats are] That's incompatible with deliveries being the bottleneck. Based on your graph there are 20 million doses somewhere that have been delivered but not being used yet. More than the total number of doses given to people. You expect some of these doses to be in the delivery chain, obviously, but not that many. At the current inoculation rate they have vaccines for over a month sitting somewhere in freezers. The Pfizer/BNT vaccine doesn't even last that long while it's deeper down the delivery chain: If these doses don't end up being thrown away then they are in deep freezers at a few central locations waiting for ... I don't know what.
...
Yes, that's what I said the whole time. Good that you came to the same conclusion now.
Every claimed reason for the disparity between "distributed" and "administered" in the CDC data is wrong. If we now agree on that, great. Here's a summary to re-cap:
  • It's not easy to inject a million doses a day -- wrong
  • Stats are incompatible with deliveries (to a usage site) being the bottleneck -- wrong
  • 20 million doses "delivered but not being used yet" -- wrong
  • "not that many ...doses...in the delivery chain" [re-organized] -- wrong
  • The Pfizer/BMT vaccine doesn't even last that long while it's deeper down in the delivery chain -- that's a side issue, but it is also wrong.
  • vaccines for over a month sitting somewhere in freezers -- wrong
I'll say again what my purpose is with this: I'm trying to project when I might be eligible to be vaccinated. In order to do that, I must project the vaccination rates for the next few months. The modeling I'm working on is based entirely on manufacturing capacity because the data suggests that manufacturing capacity is the only significant bottleneck, so my model is based entirely on the manufacturing capacity, as indicated by the "distributed" data and some announcements about what is promised in the future. For example, if over the next month the manufacturing ramps-up to 5 million doses a day (allocated to the US), then in a month + 16 days we'll be injecting 5 million doses a day into arms. Because injecting into arms is the easy part of this.

Note: there are anecdotes about unused/discarded doses, but they are thin and mostly lacking data. Actual data on wasteage suggests a fraction of a percent being lost and in some cases depending on how the data is framed it is sometimes a negative loss rate due to the potential for an extra dose in the Pfizer vials.
 
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  • #4,665
russ_watters said:
That's the problem. You've repeatedly cited "delivered" vaccines with few or no or corresponding statistics or even a clear definition.
I made clear that I mean the numbers CDC calls "distributed". I did so in every single post where wrote "distributed". "Based on your graph" which used CDC "distributed", again in reference to your graph, and direct reference to the distributed number.
Jan 22 I didn't know what exactly CDC meant by "distributed" (and based on your comments, I think neither did you), that has been clarified in the meantime. That made most of the following discussion outdated.
russ_watters said:
It's not easy to inject a million doses a day -- wrong
I never made that claim. My comment about "if it's so easy" referred to the idea of keeping up with distributed doses. But again, we learned more about what CDC tracks.
russ_watters said:
because the data suggests that manufacturing capacity is the only significant bottleneck
As I mentioned before, the CDC numbers are not sufficient to tell anything about manufacturing rate. They do not include the number of manufactured (and US-assigned) vaccines. A bottleneck from injecting the vaccines looks exactly the same if places only order what they will use in the near future (a wise decision given the limited shelf life). And your claim is incompatible with your own source, where only some places are limited by what they can get at the moment.
russ_watters said:
I'll say again what my purpose is with this: I'm trying to project when I might be eligible to be vaccinated. In order to do that, I must project the vaccination rates for the next few months.
And I fear this personal connection makes you start with a conclusion and then interpret everything to fit that conclusion.

We can set a lower limit, based on the assumption that the rate of administered doses won't decrease:
ourworldindata.org tracks 16.5 doses administered in the last 13 days. At that rate ~2/3 of the US population can get two doses within 2021. It's likely the rate will go up quite a bit over the year.
 
  • #4,666
Current USA vaccination trends:

VaxTot-2-6-21.jpg
VaxRates-2-6-21.jpg


Observations:
  • The 16 day distribution pipeline has remained remarkably consistent. I would have expected it to become more efficient over time, but it really hasn't. The slopes of the two graphs suggests it could start to narrow, but very slowly. Note: that's a poly vs linear trend, but I'll switch to both poly for next time. it doesn't have much impact on the observation.
  • The "distributed" numbers have gotten more chaotic over time. I speculate that that's due to either improving efficiency in the distribution (time a batch takes to leave a warehouse decreasing) or batches becoming larger and wider-spaced. E.G., two days in a row of near zero "distributed" probably means they had almost no vaccine to distribute. Note: the numbers weren't exactly zero, so it wasn't a matter of not updating the website.
  • I'm considering cutting-off the December "administered" data as the initial time to fill the pipeline skews the "administered" trend. If I feel like it -- the issue will decrease in impact over time.
  • Obviously, the 100M doses administered in 100 days goal is not at significant risk, and wasn't, even before Jan 20. Even without the J&J vaccine we're looking at between 150M and 200M doses administered by April 30.
 
  • #4,667
Likely case of COVID-19 re-infection in Singapore
https://www.channelnewsasia.com/new...ikely-reinfection-dormitory-resident-14127700
"In addition to his positive polymerase chain reaction (PCR) test results, there was a corresponding marked increase in antibody titres compared to the period prior to the likely re-infection, suggesting that he was exposed to a new infection which boosted his antibody levels."
 
  • #4,668
atyy said:
Likely case of COVID-19 re-infection in Singapore
https://www.channelnewsasia.com/new...ikely-reinfection-dormitory-resident-14127700
"In addition to his positive polymerase chain reaction (PCR) test results, there was a corresponding marked increase in antibody titres compared to the period prior to the likely re-infection, suggesting that he was exposed to a new infection which boosted his antibody levels."

We now have some statistics on the prevalence of re-infection by SARS-CoV-2. The SIREN study has been monitoring COVID-19 infections in hospital staff in the UK, identifying people who had previously been infected by the disease, then seeing how many would later become re-infected, and published some early results in a non-peer reviewed preprint on medRxiv:

Do antibody positive healthcare workers have lower SARS-CoV-2 infection rates than antibody negative healthcare workers? Large multi-centre prospective cohort study (the SIREN study), England: June to November 2020
https://www.medrxiv.org/content/10.1101/2021.01.13.21249642v1

Overall, they observed a 83% lower risk of infection among the previously infected group versus the control group who had not previously been infected, and the protection lasts at least five months.
Between 18 June and 09 November 2020, 44 reinfections (2 probable, 42 possible) were detected in the baseline positive cohort of 6,614 participants, collectively contributing 1,339,078 days of follow-up. This compares with 318 new PCR positive infections and 94 antibody seroconversions in the negative cohort of 14,173 participants, contributing 1,868,646 days of follow-up.
See also the press release from Public Health England: https://www.gov.uk/government/news/...but-people-may-still-carry-and-transmit-virus
 
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  • #4,669
You can hardly do this randomized. How did they make sure to account for different workplaces of the groups? People with a previous infection are more likely to work with COVID-19 patients (causal connection in both directions!).

There is a big difference in the results of an infection. In the negative group (first infection) only 12% were asymptomatic. In the positive group (reinfection) 66% were asymptomatic.
 
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  • #4,670
https://www.bbc.com/news/uk-55967767
Covid: Oxford jab protection against South Africa variant 'limited'

"First reported by the Financial Times, the study suggest the vaccine offers limited protection against mild and moderate disease caused by the variant.

The study is due to be published on Monday.

A spokesman for AstraZeneca said they had not yet been able to properly establish whether the jab would prevent severe disease and hospitalisation caused by the South Africa variant because those involved in the study had predominantly been young, healthy adults."
 
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  • #4,671
mfb said:
You can hardly do this randomized. How did they make sure to account for different workplaces of the groups? People with a previous infection are more likely to work with COVID-19 patients (causal connection in both directions!).

It depends on the PPE (personal protective equipment) situation. If there is enough PPE at work, then there may not be any increased risk from working with COVID-19 patients. For example, would it be possible for the health care workers were infected at mainly at home, outside of work - or if at work, from their interactions with colleagues in the cafeteria, where people eat unmasked? In Singapore, there have been health care workers infected, but IIRC they are all not infected from working with COVID-19 patients.
 
  • #4,672
Even in other places you don't eliminate the bias. Different people will have different risks, and of course the people with the previous infection tend to have a higher risk on average.
 
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  • #4,673
mfb said:
You can hardly do this randomized. How did they make sure to account for different workplaces of the groups? People with a previous infection are more likely to work with COVID-19 patients (causal connection in both directions!).

There is a big difference in the results of an infection. In the negative group (first infection) only 12% were asymptomatic. In the positive group (reinfection) 66% were asymptomatic.

Agreed, the study is an observational study, not a randomized controlled trial, so the numbers are subject to biases. As you note, people who were infected by COVID-19 during the first wave were probably more likely to participate in risky behaviors during the second wave that would put their exposure to the virus at a higher level than the people who avoided infection during the first COVID-19 wave.

However, the study is useful in that it documents a larger cohort of people re-infected with the Coronavirus (n=44) vs the anecdotal case reports of re-infection (e.g. the Hong Kong case, the Nevada case, and the Singapore case cited earlier in the thread). In particular, it confirms the expectation that re-infections generally result in more mild cases of COVID-19 (whereas the Nevada patient exhibited more severe during the reinfection).
 
  • #4,674
atyy said:
https://www.bbc.com/news/uk-55967767
Covid: Oxford jab protection against South Africa variant 'limited'

"First reported by the Financial Times, the study suggest the vaccine offers limited protection against mild and moderate disease caused by the variant.

The study is due to be published on Monday.

A spokesman for AstraZeneca said they had not yet been able to properly establish whether the jab would prevent severe disease and hospitalisation caused by the South Africa variant because those involved in the study had predominantly been young, healthy adults."

These results are consistent with similar studies looking at the ability of the B.1.351 strain from South Africa to escape natural immunity or immunity from other vaccines:

1) Laboratory experiments looking at how mutations to the spike (S) protein show that antibodies from convalescent sera are much less effective at recognizing S proteins with mutations at E484: https://www.biorxiv.org/content/10.1101/2020.12.31.425021v1

2) Sera from people immunized with the Moderna mRNA vaccine is less effective at neutralizing the B.1.351 variant than the original virus: https://www.biorxiv.org/content/10.1101/2021.01.25.427948v1
(note, however, that Pfizer reports that its vaccine is effective at neutralizing viruses containing the E484K mutation: https://www.biorxiv.org/content/10.1101/2021.01.27.427998v1)

3) Phase 3 clinical trials of new COVID-19 vaccines from Novavax and Johnson & Johnson showed lesser efficacy at preventing infection in South Africa and Brazil (where the newer variants are more common) versus in the UK (where the E484 mutant viruses are not as prevalent).

For more discussion see:
https://www.physicsforums.com/threads/covid-19-mutations-and-implications-for-the-vaccines.999297/
https://www.physicsforums.com/threads/sars-cov-2-mutations.998345/
 
  • #4,675
https://www.jpost.com/israel-news/thousands-expected-at-funeral-of-senior-ultra-orthodox-rabbi-658131 ... who died of COVID-19. You would think people learned something in the last year.

This boy would have an excuse: He was in a coma for almost a year. Now his family is wondering how to explain the last year to him without sounding crazy.
 
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White House staff made an AMA on Reddit:
With these additional doses, the U.S. will have enough vaccine to fully vaccinate 300 million Americans by the end of this summer.
Source

Edit: Biden's statement is more cautious:
The president said that he had already approached producers like Pfizer and Moderna to ask them to ramp up production, but said nonetheless achieving herd immunity before the end of summer would be "very difficult."
Biden says manufacturing is the limit to reach that.

CDC changed its "distributed" number to "delivered":
https://covid.cdc.gov/covid-data-tracker/#vaccinations
 
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  • #4,678
My wife just received her second shot of the Pfizer/BioNTech vaccine. So far, no adverse reaction. I'm not eligible yet, and even so, there is a long wait list to get vaccinated. Supply and distribution are still problematic.

Meanwhile -

New Zealand's Prime Minister Jacinda Ardern has ordered the country's biggest city Auckland to go into lockdown after the discovery of three new local cases of Covid-19. The three community cases were announced earlier on Sunday - a mother, father and daughter from South Auckland. All it takes is one person to bring it home. https://www.bbc.com/news/world-asia-56059960

Newsweek reported "the family of a Venezuelan woman who tested positive for Coronavirus died after she concealed her diagnosis from them." "Verónica García Fuentes, 36, from the state of Tachira in Venezuela, fell ill with a fever in mid-December." She had a positive PCR test, but told her family that she had the flu. Ms Fuentes subsequently develop pneumonia, but "her husband and three children, one aged 17 and twins aged 4, all tested negative in a rapid test." After her condition deteriorated, Ms Fuentes was admitted to hospital. Her husband and children subsequently tested positive. "Days later, her husband was admitted to hospital with severe symptoms and a week later, both died. The couple's three children had also passed away by the end of January." Such a senseless tragedy.

One can find the story in Newsweek, but I won't post a link since the opinion headlines at the side of the article are rather political. The article is entitled, "Woman's Entire Family Dies After She Hides Positive COVID Test"
 
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  • #4,679
Astronuc said:
New Zealand's Prime Minister Jacinda Ardern has ordered the country's biggest city Auckland to go into lockdown after the discovery of three new local cases of Covid-19. The three community cases were announced earlier on Sunday - a mother, father and daughter from South Auckland. All it takes is one person to bring it home. https://www.bbc.com/news/world-asia-56059960

Yup - Auckland is alert level three, while the rest of NZ is at alert level two until at least 11.59pm Wednesday. The strain is the UK one.

https://www.stuff.co.nz/national/he...linked-to-an-miq-case-are-uk-variant-of-virus

Of course the supermarkets got raided once more when the news was announced. I don't understand the stupidity of some people who know full well supermarkets remain open during these alert changes.
 
  • #4,681
Israeli study finds 94% drop in symptomatic COVID-19 cases with Pfizer vaccine
No surprise here, but it's nice to see that the ~95% holds even when people know they got the Pfizer/BioNTech vaccine. The Israeli study compared 600,000 vaccinated people to 600,000 unvaccinated people: Far more people but with a shorter time span than the phase III trials. Severe illnesses dropped by 92%.
 
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  • #4,682
Updated vaccination stats below. I've added weekly stats.

DailyVax.jpg

PerDay.jpg

WeeklyVax.jpg


Thoughts/notes:
  • Due to some gaps in the reporting the first three weekly points are estimated from the daily trends. The last three are exact counts. They are Monday to Sunday in the published counts, but that probably means the day reported is the day before's count.
  • Weekly administrations are now exceeding distributions, so the 16 day pipeline is starting to shrink. But I don't think it's enough points yet to reduce the shift in the graphs.
  • There was no update of the totals today due to the federal holiday.
 
  • #4,683
Homegrown Coronavirus variants are on the rise in the US
https://www.yahoo.com/now/homegrown...ow-worried-should-americans-be-100018010.html
researchers at the Cedars-Sinai Center for Bioinformatics and Functional Genomics in Los Angeles last month identified a new variant, named CAL.20C, that had become detectable over the summer but now accounts for nearly half of all cases in Southern California — and may benefit from a spike-protein mutation (L452R) that hasbeen shown to resist some neutralizing antibodies. A new study shows that CAL.20C has spread to 19 U.S. states plus Washington, D.C., and six foreign countries.
I assume it's in the neighboring western states.

https://www.cidrap.umn.edu/news-per...vid-variant-5-mutations-identified-california

The new JAMA study reported that as of Jan. 22, CAL.20C had been detected in the states of Alaska, Arizona, California, Connecticut, Georgia, Hawaii, Maryland, Michigan, New Mexico, Nevada, New York, Oregon, Rhode Island, South Carolina, Texas, Utah, Washington, Wisconsin, Wyoming and in Washington, D.C.. Abroad, it was found in Australia, Denmark, Israel, New Zealand, Singapore and the United Kingdom.
https://www.cedars-sinai.org/newsro...covid-19-strain-rapidly-expands-global-reach/
"CAL.20C is moving, and we think it is Californians who are moving it," Plummer said.

Los Angeles International Airport (LAX) has long been among the busiest in the U.S., ranking #2 in total passengers boarded in 2019, according to the U.S. Department of Transportation. While air traffic across the U.S. has plummeted in the last year during the pandemic, about 2 million domestic and international passengers still traveled through LAX each month in November and December 2020.

LAX is a key U.S. gateway for a number of the foreign destinations, including Australia, and New Zealand, where CAL.20C now is found. Several Western states that have the strain, including Arizona, Nevada and New Mexico, are popular vacation destinations for Southern Californians.

https://jamanetwork.com/journals/jama/fullarticle/2776543See PF thread on SARS-COV-2 variants/mutations
https://www.physicsforums.com/threads/sars-cov-2-mutations.998345/
 
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  • #4,684
Astronuc said:
Homegrown Coronavirus variants are on the rise in the US
It must be the case that there is an expectation of a significant variant every N cases, where N is some number in the millions. Given that the USA has had about 30 million cases, then it must be statistically inevitable that there be dangerous US variants.

We didn't hear a lot about variants until the UK (Kent) variant, but it must have been well known to epidemiologists that this was an inevitable consequence of not controlling the virus better in the first place. That must have been another piece of scientific advice ignored, rather than followed, by most western governments.
 
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An interesting theory surrounding the emergence of new variants is that they might arise during long term infection of immunocompromised individuals:
So far, SARS-CoV-2 typically acquires only one to two mutations per month. And B.1.1.7 is back to this pace now, suggesting it doesn’t mutate faster normally than other lineages. That’s why scientists believe it may have gone through a lengthy bout of evolution in a chronically infected patient who then transmitted the virus late in their infection. “We know this is rare but it can happen,” says World Health Organization epidemiologist Maria Van Kerkhove. Stephen Goldstein, a virologist at the University of Utah, agrees. “It’s simply too many mutations to have accumulated under normal evolutionary circumstances. It suggests an extended period of within-host evolution,” he says.

People with a weakened immune system may give the virus this opportunity, as Gupta’s data show. More evidence comes from a paper published in The New England Journal of Medicine on 3 December that described an immunocompromised patient in Boston infected with SARS-CoV-2 for 154 days before he died. Again, the researchers found several mutations, including N501Y. “It suggests that you can get relatively large numbers of mutations happening over a relatively short period of time within an individual patient,” says William Hanage of the Harvard T.H. Chan School of Public Health, one of the authors. (In patients who are infected for a few days and then clear the virus, there simply is not enough time for this, he says.) When such patients are given antibody treatments for COVID-19 late in their disease course, there may already be so many variants present that one of them is resistant, Goldstein says.
https://www.sciencemag.org/news/202...nocompromised-patients-role-covid-19-pandemic

Long term replication of the virus in a person with a weakened immune system would provide the virus with the opportunity to evolve new mutations to better adapt to and combat the human immune system and transmit within human hosts. Two recent studies have documented seeing large numbers of mutations arise in immunocompromised patients with long term infections (and seeing various mutations that seem to increase the transmissibility of the virus or its ability to evade the immune system):

Neutralising antibodies in Spike mediated SARS-CoV-2 adaptation
https://www.medrxiv.org/content/10.1101/2020.12.05.20241927v3

Persistence and Evolution of SARS-CoV-2 in an Immunocompromised Host
https://www.nejm.org/doi/full/10.1056/NEJMc2031364

Popular press coverage:
Science
NPR
 
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Could someone see if they can figure out a data discrepancy for me please. Below is a screenshot from the PA COVD tracking website:
pacovidstats.png


https://www.health.pa.gov/topics/disease/coronavirus/Pages/Cases.aspx

I've been tracking the data since the beginning of the pandemic and doing my own analysis. I realized recently my calcs of the positivity % was no longer tracking with what is on the Johns Hopkins Testing Trends website:
https://coronavirus.jhu.edu/testing/individual-states/pennsylvania

Looking back, the positivity % never tracked, but the discrepancy only became large recently. The daily case numbers exactly match. The discrepancy has to do with the number of tests. I've been adding total cases (899,237) to negatives (3,783,099) to get the number of tests (4,682,336). But clearly, the actual number of tests is more than twice that (9,910,886). Can anyone explain this?
 
  • #4,687
For one thing, patients in a hospital (both those who recover and those that don't) could be tested more than once.
 
  • #4,688
BillTre said:
For one thing, patients in a hospital (both those who recover and those that don't) could be tested more than once.
That would cause the count and percent of positives to go up instead of down. Here's the daily numbers for 2/12, extracted from the totals:
  • New Positive tests/cases: 3,987 (JH lists this number; "new positive tests" = "new cases")
  • Cases + Negative tests: 12,537
  • My positivity rate: 29.2% cases/(cases + negatives)
  • Total tests: 41,801 (JH lists this number)
  • JH positivity rate: 9.5% (they actually use a moving average in their graph and over two weeks it was 8.3%)
So, what I'm apparently missing here is 30,000 negative tests. Now that I'm aware of the discrepancy I'll start using the correct number, but I'm just confused as to why positives + negatives /= total.
 
  • #4,689
russ_watters said:
That would cause the count and percent of positives to go up instead of down. Here's the daily numbers for 2/12, extracted from the totals:

Are you sure that positives test results equal patient cases?

I have seen records of dead people who were tested 2 or three times in the hospital.
They are one positive patient but might have had multiple either positive or negative test results.
Same could happen with survivors (whose records I don't see).
The positivity of a test could come and go during their stay in a hospital:
  1. early; not enough of whatever to detect (or possibly uninfected)
  2. middle; ill and detected virus
  3. late, recovered; virus not detected, tested on the way out.
All one case; one positive case , two negatives.
Of course there could be additional tests at any stage.
 
  • #4,690
BillTre said:
Are you sure that positives test results equal patient cases?
The JH graph is of "new positive tests" and it exactly matches PA's "cases" (today's total minus yesterday's total). So I'm as sure as I can be -- the discrepancy is in the negative tests, not the positive tests.
I have seen records of dead people who were tested 2 or three times in the hospital.
They are one positive patient but might have had multiple either positive or negative test results.
Same could happen with survivors (whose records I don't see).
The positivity of a test could come and go during their stay in a hospital:
  1. early; not enough of whatever to detect (or possibly uninfected)
  2. middle; ill and detected virus
  3. late, recovered; virus not detected, tested on the way out.
All one case; one positive case , two negatives.
Of course there could be additional tests at any stage.
Perhaps. Here's what the PA website says for a definition of "Negatives":
Negative case data only includes negative PCR tests. Negative case data does not include negative antibody tests.

This definition is apparently intended to say that post-case antibody testing isn't included. Fine, whatever -- but what is the definition of "negatives"? Maybe the first sentence is the key due to how they sloppily switched terminology? Maybe a "negative case" ("negatives") isn't a "negative test"? Maybe it means that (per your example), someone who is tested three times and comes up positive once is counted as one "positive case", zero "negative cases" and three "tests"?
 
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I need a confused reaction emoji for this stuff.
 
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BillTre said:
I need a confused reaction emoji for this stuff.
Does the "skeptical" emoji work?
Its not clear what they mean (in at least some cases) and interpretation is therefore suspect.
[reverse quote edit]
I think you led me to the answer, so thanks. This is why I'm harping on precision of descriptions for the statistics. It's critical to understand what the stats mean. I've been manually typing that number into a spreadsheet every day for 10 months, thinking it meant something else!
 
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I consider the numbers in all this stuff confusing.
Its not clear what they mean (in at least some cases) and interpretation is therefore suspect.
 
  • #4,694
russ_watters said:
Does the "skeptical" emoji work?

I try to reserve the skeptical emoji for when I am skeptical of the poster's reasoning, which is not in this case.
 
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The COVID Tracking project probably has the most experience tracking these data from various states and has some interesting notes regarding data from PA that might be relevant:
On February 1, 2021, we backfilled the full time series of Total Test Encounters (PCR), from data now available on Open Data Pennsylvania, and cleared our Total Tests (PCR) column. Going forward, we will enter PA's "Total PCR Tests" into Our Total Test Encounters (PCR) column rather than Total Tests (PCR), as the state's site describes the data as encounters.

On December 28, 2020, Pennsylvania's Total PCR tests (specimens) value increased by ~690,000 from 7,202,533 tests to 7,892,184 tests. On December 29, 2020, this Total PCR tests value decreased by ~580,000 to 7,312,858 tests. We were unable to find an explanation for this fluctuation.

On December 14, 2020, Pennsylvania’s Total PCR tests (specimens) decreased by roughly 297k without explanation.

On September 3, 2020, Pennsylvania clarified that the test numbers they have been reporting previously are in units of unique people and began publishing new test data in units of specimens. On September 4, 2020, we therefore moved the appropriate historical data to the Total tests (people) field and began capturing Total PCR tests (specimens).
https://covidtracking.com/data/state/pennsylvania/notes

They also note that the state "does not have a clear full definition of cases." (https://covidtracking.com/data/state/pennsylvania/assessment#state-metrics), so they may be experiencing similar confusion over the data as @russ_watters
 
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russ_watters said:
Could someone see if they can figure out a data discrepancy for me please. Below is a screenshot from the PA COVD tracking website:
View attachment 278143

https://www.health.pa.gov/topics/disease/coronavirus/Pages/Cases.aspx

I've been tracking the data since the beginning of the pandemic and doing my own analysis. I realized recently my calcs of the positivity % was no longer tracking with what is on the Johns Hopkins Testing Trends website:
https://coronavirus.jhu.edu/testing/individual-states/pennsylvania

Looking back, the positivity % never tracked, but the discrepancy only became large recently. The daily case numbers exactly match. The discrepancy has to do with the number of tests. I've been adding total cases (899,237) to negatives (3,783,099) to get the number of tests (4,682,336). But clearly, the actual number of tests is more than twice that (9,910,886). Can anyone explain this?
https://covidtracking.com/data/state/pennsylvania/tests-viral (about 24 hours behind the PA site)

Total PCR tests (people) 4,550,692
Total PCR tests (test encounters) 9,799,882

https://covidtracking.com/data/#state-pa
If I wonder about a states statistics, I go to the official state site.
 
  • #4,697
Ygggdrasil said:
They also note that the state "does not have a clear full definition of cases." (https://covidtracking.com/data/state/pennsylvania/assessment#state-metrics), so they may be experiencing similar confusion over the data as @russ_watters
Each state reports cases differently, i.e., there is no uniform reporting template. I follow Washington and New York, with the latter being more consistent. Washington state was an early leader in cases, then NY overtook Washington and became the leader until CA and TX overtook NY.

Washington state has changed there format several times, and stopped reporting on weekends and holidays. Sometimes the number of cumulative positive cases and deaths have decreased because they reconciled some data.

https://covidtracking.com/data/#state-wa
https://covidtracking.com/data/#state-ny
 
  • #4,698
The vaccines seem to be having an effect on reducing deaths in nursing homes:
In another promising sign Illinois is beating back the COVID-19 pandemic, cases and deaths at Illinois long-term care facilities have dropped to levels not seen since late summer, according to state data released Friday.

Following weeks of focused vaccination of long-term care residents and workers, the state reported 33 residents died from the virus over the past week. That’s the lowest reported tally since mid-August and exponentially lower than the 650 weekly deaths reported in early December.

Long-term care residents not only have seen a sizable drop in the number of deaths, they also now make up a far smaller share of those who are dying of COVID-19 each week — going from roughly half or more of these deaths in Illinois to near 10% now.
https://www.chicagotribune.com/coro...220-ehid36jz6vgpjhuyqshdxh2cbi-htmlstory.html

While part of the decline could be due to the overall decline in cases in Illinois since late December, the fact that nursing home death have declined as a percentage of total deaths suggests that the vaccines (which have been administered to healthcare workers, people in nursing homes, and is in the process of being rolled out to those over 65 over the next month or so, but is not yet available to the general public) is having some success in preventing deaths at nursing homes.
 
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  • #4,699
National-Forecast-Incident-Cases-2021-01-11.jpg

and now the good news.

https://www.theatlantic.com/ideas/archive/2021/02/why-covid-19-cases-are-falling-so-fast/618041/
One month ago, the CDC published the results of more than 20 pandemic forecasting models. Most projected that COVID-19 cases would continue to grow through February, or at least plateau. Instead, COVID-19 is in retreat in America. New daily cases have plunged, and hospitalizations are down almost 50 percent in the past month. This is not an artifact of infrequent testing, since the share of regional daily tests that are coming back positive has declined even more than the number of cases. Some pandemic statistics are foggy, but the current decline of COVID-19 is crystal clear.

https://www.theatlantic.com/health/archive/2021/02/major-covid-19-metrics-are-falling/618068/
All major indicators of COVID-19 transmission in the United States continue to fall rapidly. Weekly new cases have fallen from 1.7 million at the national peak in early January to fewer than 600,000 this week, and cases have declined in every state. As we’ve seen at many points in the pandemic, case numbers are changing most quickly, with hospitalizations and deaths declining after a delay: Cases have been falling sharply for five weeks, hospitalizations for four, and deaths for two. In this week’s numbers from nursing homes and other long-term-care facilities, we are now seeing solid declines in deaths correlated with COVID-19 vaccinations in this most vulnerable population.

https://www.who.int/docs/default-so...update_27.pdf?sfvrsn=94da8979_9&download=true
Global overview
The number of global new cases reported has continued to fall, with 2.7 million new cases last week, a 16%
decline over 500 000 fewer new cases compared to the previous week (Figure 1). The number of new deaths
reported also fell, with 81 000 new deaths reported last week, a 10% decline as compared to the previous
week. A total of five out of six WHO regions reported a double-digit percentage decline in new cases (Table 1),
with only the Eastern Mediterranean Region showing a 7% rise. Europe and the Americas continue to see the
greatest drops in absolute numbers of cases. Meanwhile, the number of new deaths declined in all regions.
 
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  • #4,700
New cases in Germany are down to ~30% of the peak in late December. ICU beds used for COVID-19 are down to 50% of the peak around new year, and will drop below the peak in April in the next days. Only 6% have been vaccinated so far, so this decline is largely not the result of vaccinations.

Israel exceeded 80 vaccinations per 100 people. Israel's cases are going down quickly, but we see that trend in places with fewer vaccinations as well.
 

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