Post #1446: COVID-19 trend at William and Mary, new case rate finally peaks.

 

Source:  Calculated from the William and Mary COVID-19 dashboard

The new COVID-19 case rate at William and Mary finally appears to have peaked.  This week saw less than half the number of newly-diagnosed cases compared to last week.   The rate is still about 4.5 times higher than the rate observed in the 18-24 population of Virginia.

Based on the most recent email from the W&M administration, they are no longer going to do contact tracing.  (That is, identifying the close contacts of known new COVID-19 cases, and checking those close contacts for infection.)  This means that the new case counts moving forward will not be strictly comparable to the data so far, because they will no longer contain (e.g.) asymptomatic individuals who were only found via contact tracing.

That said, at this point, I don’t think anyone cares.  Almost everyone on campus is immunized, case counts are falling, and as far as I know there have been no reports of severe illness from Omicron.  As of yesterday, W&M lifted their mask mandate for indoor spaces other than classrooms.

What will the new normal be?

All of that seems consistent with the slow return to normalcy.  Let’s all be glad that Omicron is substantially less virulent than Delta, and that vaccines (and particularly, the third or booster shot) remain reasonably effective at preventing severe illness.  All told, those changes bring COVID a lot closer to being “flu-like” in terms of health risks.

Elsewhere, I’ve made the case that in most parts of the country now, a boostered adult faces no more risk of hospitalization or death from Omicron than from flu, in a typical flu season.  As Omicron case counts continue to fall, I think that an increasing share of the population will come to more-or-less the same judgment.

My best guess for endemic COVID is that it will be accepted the same way that flu is, unless a more virulent strain arises.  Those who care will get a flu shot and a COVID shot every year.  Those who don’t, won’t.  Maybe wearing masks in flu season will become socially acceptable, as it is in much of Asia.  (I, for one, hope that’s true, now that we’ve woken up to the realities of aerosol spread of disease.)

As with flu, we’ll probably see a wintertime peak in COVID-19 activity in the Northern Hemisphere, because that’s the pattern for coronaviruses in general, and (so far) COVID-19 in particular.

Here’s flu, from the CDC:

Here’s a collection of coronaviruses other than COVID-19, from the source cited below:

Source: Potential impact of seasonal forcing on a SARS-CoV-2 pandemic DOI: https://doi.org/10.4414/smw.2020.20224 Publication Date: 16.03.2020 Swiss Med Wkly. 2020;150:w20224 Neher Richard A., Dyrdak Robert, Druelle Valentin, Hodcroft Emma B. Albert J.

All of that would make sense, I think.

Blitz-demics.  The only thing that doesn’t quite make sense in this COVID-as-flu scenario is the effect of the extremely high contagiousness of COVID-19 relative to flu.  Typical seasonal flu has an R-nought of about 1.3 (per this scholarly reference).  Pandemic flu outbreaks such as the 1918 flu have an R-nought of perhaps 1.8 (same reference).  But Omicron (B.1.1.529) has an R-nought of about 15, and son-of-Omicron (BA.2) is about a 22.

In other words, where the average person with flu might go on to infect 1.3 to 1.8 others, absent any interventions, the average person with Omicron would infect 15 others, absent any interventions.

The upshot of that is that if immunity fades over time (and it does), when there is an outbreak of Omicron, it’s going to spread far faster than flu.  In round numbers, you’d have to guess about 10 times as fast, given that the R-nought is about 10 times as high.

This is a particular issue for “congregate living situations”, such as prisons, nursing homes, ships, barracks, and dorms.

You may or may not recall that early in the pandemic, COVID-19 swept through many U.S. prisons before anybody even thought to do anything about it.  It disabled the U.S.S. Theodore Roosevelt, again before anyone even considered any effective means to contain it.

I suspect that will become part of the new normal with endemic COVID-19.  As population immunity wanes, we’ll end up with “blitz-demics”, for want of a better term.  An outbreak of Omicron (or its successor) will run though a prison, campus, ship or workplace before anybody’s even really aware that there’s an issue.

But all of that — if it comes to pass — is a problem for the future.  Right now, things look better in the U.S. than in much of the rest of the world.  All we can do is hope that current U.S. trends continue.

Source:  Johns Hopkins data, via Google search.

Post #1445: COVID-19 trend to 2/28/2022

 

I think we’re rapidly approaching the end of the Omicron wave in the U.S.  I’ll define that as the point at which the daily count of new cases stabilizes at some low “endemic” rate.  It’s tough to say that, exactly, as the Presidents’ Day data reporting messes up today’s estimate of the new case trend.  Despite that, that’s how it looks to me.  We’ll have a better fix on that tomorrow.

As of 2/28/2022, the U.S. stands at 22 new COVID-19 cases per 100K population per day.  That’s the same as it was as of last Friday’s data, and it’s only down 11% in the past seven days.  But, as noted above, part of that is an artifact of getting past the lack of data reporting on Presidents’ Day.

That said, everything I can see points to a sharp slowdown in the rate of decline of new COVID-19 cases in the U.S.  Ready or not, I think we’ll soon know what our endemic level of Omicron looks like. Continue reading Post #1445: COVID-19 trend to 2/28/2022

Post #1441: COVID-19 trend to 2/22/2022

 

The Presidents’ Day holiday interrupted COVID-19 data reporting, so there was no usable update yesterday.  Today, as of 2/22/2022, the U.S. stands at roughly 26 new cases per 100K population per day, down 40% in the past seven days, and down 90% from the peak of the Omicron wave five weeks ago.  If there is any reduction in the rate of decline, it’s pretty subtle so far.

There are a couple of other things worth noting.

First, for the U.S., son-of-Omicron (BA.2) appears to be a dud.  In theory, it’s about half-again as infectious as the original Omicron variant (B.1.1.529), and should be displacing the original variant.  In practice, the CDC keeps revising its estimates of spread of BA.2 downward.  As of the week ending 2/19/2022, BA.2 was still estimated to account for less than 4 percent of all new U.S. cases. 

At the current rate of decline of new cases, I’d guess that the Omicron wave will be well and truly over before BA.2 can even get going.

Second, hospitalizations and deaths have not fallen anywhere near as fast as new cases.  That’s completely different from the end of the Delta wave, where those fell in sync.  The upshot is that the case hospitalization rate for Omicron is now back up to where it was under the far-more-virulent Delta.  That’s puzzling, and I keep thinking that there has to be some significant explanation for it.

I’ve fumbled around trying to explain it.  Maybe it’s cases missing out of the official counts, due to the rise of home testing.  Maybe more virulent strains of Omicron are gaining ground.  But neither of those really explained the magnitude of the effect.

Michael Andreas, a long-time reader of this blog, provided what I think is the most plausible explanation of this:  Maybe immunity is waning among the elderly.  They were first in line to get vaccinated and boostered, they should be first to see that vaccine-provided immunity decline.  And because they are so much more likely to be hospitalized or die from COVID, compared to others, a shift in cases toward the elderly would markedly increase the number of hospitalizations and deaths per case.

Tracking down the numbers by age, the end of the Omicron wave has, in fact, been associated with a shift toward the elderly in terms of new cases, hospitalizations, and deaths.  Plausibly, that’s the result of waning immunity in that population.


Case trend

Data source for this and other graphs of new case counts:  Calculated from The New York Times. (2021). Coronavirus (Covid-19) Data in the United States. Retrieved 2/23/2022, from https://github.com/nytimes/covid-19-data.”  The NY Times U.S. tracking page may be found at https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html

From the second graph, you can see that there is still no clear slowdown in the rate of decline in new cases for the U.S. as a whole.  We’re approaching our one-month anniversary of cases declining at a steady 40+% per week.

Maybe there’s the start of a slowdown showing for the states that led the decline.


Son-of-Omicron remains a dud in the U.S.

Source:  CDC COVID data tracker.

Recall how COVID strains are named.  The two original strains of COVID-19 were termed A and B.  Each generation of variants is separated by a dot.  Each new variant is numbered in the order it is discovered.  And then, after four generations, you give that line its own letter designation, if there are any further sub-variants.

The original strain of Omicron is B.1.1.519.  That was given the alias BA.  Then BA.2 is the second known sub-variant, dubbed son-of-Omicron.  And then there’s BA.1.1, which is the first grandson of Omicron, so to speak.

BA.2 is thought to be half-again more contagious than the original Omicron strain.  It has (e.g.) become the dominant strain in Denmark.

But in the U.S., it’s spreading far less rapidly than was originally projected.    The CDC’s current estimate (for the week ending 2/19/2022) is that it accounts for 3.8 percent of all new cases.  That’s actually down a bit from where the CDC thought it was last week.  So this is spreading far less rapidly than the CDC had projected.  There now seems to be little danger of it prolonging the U.S. Omicron wave, given how fast cases in general have been falling.

The only thing happening at the moment is that the original Omicron strain is being pushed out by BA.1.1.  Near as I can tell, nobody seems to think this has any clinical or epidemiological significance whatsoever.  There is no research to suggest that grandson-of-Omicron BA.1.1 is materially different from the original Omicron B.1.1.529.


Are rising case hospitalization and mortality rates due to waning immunity in the elderly?

Source:  Calculated from CDC COVID data tracker data, data accessed 2/22/2022.

On the downside of the Omicron wave, we’ve seen a far faster rate of decline in new cases than in hospitalizations or (two-week-lagged) deaths.  The result is that the case hospitalization rate for Omicron is back to where it was under the far-more-virulent Delta variant.

I seem to be the only person in the U.S. who thinks that needs some sort of explanation.  Taken at face value, Omicron appears to have grown far more virulent as the cases have declined.  But surely if that were true, somebody would have noticed it.

I’ve thrown a couple of possible explanations at this, but nothing really stuck.  Maybe a rapid growth in home testing has significantly reduced the trend in officially-counted cases.  But the reduction in cases needed to account for a tripling of the case hospitalization rate is just too large to be plausible.  Maybe this is due to the newer strains of COVID-19 (BA.2 and BA.1.1) being more virulent that the original (B.1.1.529).  But nobody says that about BA.1.1., and BA.2 accounts for far too few cases to matter yet.

Michael Andreas, a long-time reader of this blog, suggested what I now think is by far the most plausible explanation:  Waning immunity.  In particular, waning immunity among the elderly who a) were first in line to get vaccinated and boosted, and b) are far more likely to be hospitalized or die, if infected, compared to the remainder of the population.

First, it’s well-established that immunity from COVID-19 infection declines over time, whether from vaccination or from prior infection.  Prior to Omicron, the debate over booster shots centered on this observable decline in immunity, particularly among the elderly.  Some of the estimates of decline in immunity were remarkably large, as in this this study of persons using Veterans Administration facilities, a largely elderly population.  Other studies significantly slower rates of decline.

Source:  Figure 1, SARS-CoV-2 vaccine protection and deaths among US veterans during 2021, Barbara A Cohn et al, Science, Vol 357 no. 6578,

Just to underscore how concentrated those severe outcomes are, here’s a repeat of a graph showing the case mortality data for COVID-19 and flu. For either disease, almost all the deaths occur among the elderly.

(There’s nothing unique about flu or COVID-19 in this regard.  If you graphed all-causes mortality, or the most common causes of death, you’d see something very much like this.  Other than deaths from accidental causes, the sole exception that comes to mind, among major causes of death, is breast cancer, where roughly 40 percent of deaths are in the under-65 population).

And so, putting the argument together, the elderly:

  • are at highest risk for loss of immunity over time,
  • were vaccinated and boostered first, and so have had the greatest time elapse since immunization, and
  • have vastly higher case hospitalization and case mortality rates compared to the rest of the population.

And, sure enough, as of mid-February 2022, COVID-19 deaths have become ever-more-concentrated in the elderly.

Source:  Courtesy, Michael Andreas, source data are Provisional COVID-19 deaths by week, sex, and age, from NCHS. 

So it’s not as if the virulence of Omicron has increased across-the-board. It’s that the elderly — and only the elderly — appear to have lost some of their protection against dying from COVID-19.

We see a similar but more muted change in hospitalizations.  The elderly’s share of new COVID-19 hospitalizations has been rising for roughly the past month and a half.

Source:  Calculated from the CDC unified hospital dataset, accessed 2/23/2022.

As far as I can tell, there’s no way to get reliable national information on cases by age in a timely fashion.  Instead, I’m using data from Virginia, and using only the period of time following their recent clean-up of cases with unknown ages.

The results from Virginia reinforce what you’re seeing above.  The elderly’s share of all new cases has been rising fairly rapidly during the decline of the Omicron wave.

Source:  Calculated from Virginia Department of Health file of total COVID-19 cases by age group.

This is a little bit piecemeal, but taken as a whole, the evidence suggests that the elderly’s share of new cases, new hospitalizations, and deaths is rising. 

That is particularly notable given the return to school that occurred under Omicron.  If anything, we’d have expected cases in the pediatric and young-parent age groups to increase as a fraction of the total.   To the contrary, what we’re actually seeing is a risking fraction of all cases and severe cases in the elderly.

There is no way directly to prove it, but the most plausible explanation is that immunity is waning first among the elderly.  And that’s why we’re seeing what looks like an increasing (non-age-adjusted) case hospitalization and case mortality rate at the end of the Omicron wave.  Because hospitalizations and (particularly) deaths are so concentrated in that age group, even a modest shift in toward older persons can plausibly result in a marked increase in the rates per case.

I haven’t take this to the final conclusion step yet, to see if I can reconcile all the numbers based on the higher case rates of the elderly.  But, back-of-the-envelope, the shift in age mix of new cases from Virginia, combined with the extreme concentration of deaths in the elderly, does seem to be able to account for the much slower decline in deaths compared to cases.  As the share of cases in the elderly roughly doubled, all other things equal, we should expect to see a near-doubling of the case mortality rate.  And that’s exactly what we’ve seen nationally, from 0.3% of cases to 0.6% of cases.

The upshot is that this seemingly modest demographic shift is probably adequate to explain the rising case mortality rate, and so, probably the rising case hospitalization rate as well.

As a result, the most likely explanation I can find for the apparent uptick in case hospitalization and mortality rates is that immunity is declining more rapidly among the elderly, right now, than it is in the rest of the population.

Obviously, this has some fairly serious implications if you happen to be elderly.  Hardly a day goes by when I don’t read some comment, on some newspaper article, that boils down to “I’m vaccinated and boosted, so I no longer need to wear a mask.”  That attitude could be a costly mistake for an elderly person if immunity is now rapidly declining.

Given that it’s the CDC’s job to make recommendations on mask use and vaccination, it would be helpful if someone in a position of authority there would directly address this.  What I see, as I peruse the CDC website, is reticence to provide detailed information on the loss of vaccination-based immunity over time.  But if we’ve got a bunch of older Americans who think they’re good to go because they got the booster, the CDC should be burdened to clarify just how much protection the average older American can expect to have, some months after that last booster shot.

Post #1440: William and Mary COVID-19 trend to 2/21/2022: Still moving in the wrong direction.

 

Source:  Calculated from William and Mary COVID-19 dashboard.  Virginia data were extrapolated from the most recent (2/18/2022) data by age, from the Virginia Department of Health.

For the past week, William and Mary saw an average of 15 newly-diagnosed COVID-19 cases per day.  That’s an increase compared to last week, and that now works out to be about seven times the rate of new cases in the 18-24 population of Virginia as a whole.

Plausibly this is not a serious threat to health, given the generally milder nature of Omicron, and given the generally high rates of vaccination and boosters among the student population. Plausibly.

That said, it’s hardly something to be proud of, and we appear to be under-performing relative to peer schools in Virginia.

Above are large (5000+ enrollment) Virginia colleges and universities with at least some on-campus residences, showing the rate of new COVID-19 cases per nominal total enrollment for the past week.  (These enrollments figures all exceed actual on-campus enrollment to a larger or smaller extent, including the number for William and Mary).

Even though this isn’t the cleanest of comparisons, it shows you that, on paper at least, of all the major residential colleges and universities in Virginia, William and Mary now ranks first in COVID-19 incidence. 

In fairness, there is a lot of variation in what’s being reported in the table above.  Not every comparison is a proper apples-to-apples comparison.  That said, for the ones that should be close to correct — e.g., U.Va — disease incidence at William and Mary looks to be out-of-line with our peers.

Probably not a huge cause for concern, all things considered.  But certainly nothing to be proud of, either.

Post #1439: The news reporting I’ve been hoping not to see.

 

This showed up on Google News today:

Source:  Google News, accessed 2/20/2022.

I wouldn’t normally pay attention to that.  “The news” presents you with a constant stream of scare stories.  Any time there’s some credible source, and a scary story, you’re going to see it, whether or not there’s much to it.

I wouldn’t normally, except that I’ve been waiting to see something like that show up. 

That’s due to the graph I’ve been updating almost daily.  This one, showing how hospitalizations, deaths, and cases have trended since the peak of the Omicron wave:

Source:  Calculated from CDC COVID data tracker data.  Case death rate is deaths divided by new cases from two weeks’ prior.

Something ain’t right about that.  If there were no change in the underlying COVID-19 variant, and no change in data reporting, it ought to look just like the peak of the Delta wave.  Like this, with all the lines in sync:

Source:  Calculated from CDC COVID data tracker data.  Case death rate is deaths divided by new cases from two weeks’ prior.

But instead, reported cases have fallen a lot, hospitalizations not so much, deaths even less (with a two-week lag built into what I’m showing above).  And as a result, the case hospitalization rate and case death rate for Omicron appear to be going up.

Source:  Calculated from CDC COVID data tracker data.  Case death rate is deaths divided by new cases from two weeks’ prior.

On paper at least, the case hospitalization rate for Omicron is just shy of 7 percent, which is what it was under Delta.

Up to now, I’ve been happy to fuzzy-think my way through this and say, well, that’s probably due to missing positive cases.   Maybe, all of a sudden, starting with government handout of free tests, home testing is really taking off.  And that’s suppressing the official case count.  Which then, on paper, raises the apparent case hospitalization rate.

But all along, I have to say that the magnitude of that effect had to be pretty large.  Maybe implausibly large.  I mean, if the case hospitalization rate has nearly tripled, doesn’t that mean that we’d have to be missing two-thirds of cases?  But if we were, wouldn’t that mean a much steeper descent in the case counts?

In other words, I couldn’t quite make the math work out. So I waved my hands and said, must be due to some missing cases.

The other hypothesis is that Omicron actually is getting more virulent.  Maybe one of the two growing sub-variants of Omicron in the U.S. is, for reasons unknown, more virulent than the original.

And, of course, it’s not as if those are mutually exclusive explanations.  Plausibly, what you’re seeing could be due to some mix of the two.

The upshot is that I’ve been keeping an eye peeled for any indication that the either of the two newer strains of Omicron might be more virulent.  I noted that, for reasons unknown, the CDC began breaking out all three strains as of the last round data.

Source:  CDC COVID data tracker.

That said, I still can’t make the numbers work out.  The peak of the Omicron wave was 1/16/2022.  As of the last reading from CDC (above), BA.2 was still just a tiny fraction of all cases.  BA.2 could not possibly be causing a huge upswing in the case hospitalization rate yet.

And that makes me wonder about BA.1.1.  But so far, nobody has mentioned anything about that being markedly different from the original Omicron strain B.1.1.529.

(BA is the alias for B.1.1.519, the original strain of Omicron.  Each dot in the name stands for the next generation of mutations.  BA.2 is the second son of Omicron.  BA.1.1 is the first grandson of Omicron. )

Finally, in Post #1400-1, I addressed an old and thoroughly incorrect notion, that viruses will get “weaker” as they mutate.  You will still see that repeated from seemingly responsible news sources.  Search that post for “soundly debunked” to see modern scientific thinking about this.

Evolutionary pressures force successful new variants to be highly contagious.  That’s how they displace the prior existing strains.  By contrast, the virulence of each new strain is more-or-less random.  It’s based on whatever other mutations happen to “hitch a ride” on the set of mutations that allows a new strain to be more infectious than the older one.

As I stated in Post #1400-1 :  We got lucky with Omicron.  Lucky that it was far less virulent than the Delta strain it displaced.  This, in a pandemic where good luck has not exactly been abundant up to now.

The bottom line is that I don’t really understand what’s driving the rising case hospitalization rate.  We’d have to be missing an enormous number of cases for that to be due to missing cases alone.  But BA.2 is not yet prevalent enough to have had much of an impact on case severity.

That said, I think this issue of severity is well worth keeping an eye on.  If what ends up as “endemic Omicron” is both highly infectious and highly virulent, that means we’ll be living in a somewhat different world, going forward, relative to one where the original, milder Omicron strain dominates.

Post #1438: COVID-19 trend to 2/18/2022, finishing out the data week, and a table of the crude odds of exposure.

 

Still no surprises.  The U.S. now stands at 34 new cases per 100K population per day, down 41 percent in the past seven days.

COVID-19 hospitalization and deaths are falling much more slowly than reported new cases.  My best guess remains that recent growth in home testing has created a divergence between reported new cases and new hospitalizations and deaths.  But there’s no way to prove that directly, and that implies that there is a very large volume of home testing going on.

Continue reading Post #1438: COVID-19 trend to 2/18/2022, finishing out the data week, and a table of the crude odds of exposure.

Post #1437: COVID-19 trend to 2/17/2022, no surprises.

 

U.S. new COVID-19 cases fell to 35 per 100K population per day, down 45 percent in the past seven days.  Judging from the continuing decline in cases in the states that led the Omicron wave, we can expect this to continue for at least another week or two.

For all intents and purposes, I could just keep putting up the same graphs day after day, and I don’t think you’d be able to tell the difference.

Continue reading Post #1437: COVID-19 trend to 2/17/2022, no surprises.