Post #1377: COVID-19 and the Town of Vienna, VA

 

Edit:  The Town has since relented, which I believe is thanks to the efforts of Councilmembers Patel and Springsteen.  The testing center will remain open another month.  Which should get us past the peak of the Omicron wave.  Apparently, what was stated as flatly impossible two days ago turns out to have been a judgement call.  And reasonable judgement has prevailed.

Original post follows:

The facts are these.  There’s a drive-through COVID-19 testing site that operates in a church parking lot in the western part of Vienna, VA.  It has been operating since March 2021.  It appears to be one of the few drive-through testing sites in the nearby area.

Lately, as you might imagine with the rapid spread of Omicron, this site has been quite busy, with cars lining up to be served.  Reportedly, the operators of this site provide about 100 COVID-19 tests per day.  They offer both antigen (rapid) and PCR tests.

And now, as Omicron cases continue to ramp up, and access to testing becomes an increasingly important public health issue, the Town of Vienna is shutting down that drive-through testing station.  Today, last I heard. Continue reading Post #1377: COVID-19 and the Town of Vienna, VA

Post #1375: U.S. hospital bed and ICU bed use over the pandemic.

 

Source:  CDC COVID data tracker, accessed 12/30/2021

From time to time I’ve been tracking COVID-19 hospitalizations from a data file collected and maintained by the U.S. Department of Health and Human Services.  You can see a daily summary of the data by state, at this link.  DHHS also provides a weekly report showing individual hospitals, at this link.

In addition to counts of COVID-19 admissions and patients, that file also gathers some measures of how stressed the hospital system is.  For example, it captures the fraction of hospitals that report having a critical staffing shortage; it can be used to show the fraction of beds and staffed ICU beds currently occupied; and so on. Continue reading Post #1375: U.S. hospital bed and ICU bed use over the pandemic.

Post #1374: COVID-19 trend to 12/29/2021. I reject your reality and substitute my own.

 

This has been yet another morning of looking at the COVID-19 numbers and saying “never seen that before”.

In any case, I’m sure you won’t be able to avoid hearing all the bad news, so let me be brief about that.

The U.S. is now averaging more than 90 new COVID cases per 100,000 population per day.  Here’s how the case counts look, compared to last year: Continue reading Post #1374: COVID-19 trend to 12/29/2021. I reject your reality and substitute my own.

Post #1373: Omicron average case severity in the U.S.

 

The point of this post is to try to get some handle on the actual, as-observed average severity of Omicron, compared to Delta, in the U.S.A.  The bottom line is that the U.S. results look more like research from Scotland and England — the case hospitalization rate for Omicron is about one-third that of Delta.  They don’t look as good as the results from South Africa, which suggested that the case hospitalization rate was one-fifth that of Delta.

The same analysis verifies that there has been an uptick in pediatric hospital admissions with COVID-19, as a fraction of the total.  Not a huge increase, but a marked increase that coincides with the Omicron wave.  Given that we have no national database that shows current new cases broken out by age, there’s no way to tell whether that’s just an artifact of higher infection rates among the pediatric population.

Finally, I think it’s too soon to say much about U.S. mortality rates from Omicron compared to Delta.  The well-aged South African data seem to show a case mortality rate for Omicron that is about one-fifth that of Delta.  But data from European countries — which may or may not be well-aged enough to provide a valid estimate — show a much smaller difference.

All told, this means that Omicron is not quite as benign as the flu.  Best guess, with current data, case hospitalization rate is about twice that of flu, and my guess for a case mortality rate would be about four times that of typical seasonal flu in the U.S.

You can see my original comparison of Omicron and flu in Post #1364.  If our results had matched those of South Africa, then Omicron would have had a flu-like case hospitalization rate.  Now that it’s looking like our results aren’t that good, the best estimate is that Omicron has not-quite-double the case hospitalization rate of typical seasonal flu.


U.S. case hospitalization rate

Let me start with the case hospitalization rate.   That is, the fraction of newly diagnosed COVID-19 cases that are admitted to the hospital.

Below is the crude case hospitalization rate.  The plot is the seven-day moving average of new adult and pediatric admissions with confirmed COVID-19 at time of admission, divided by the seven-day moving average of new COVID-19 cases.

Source:  Calculated from U.S. DHHS unified hospitalization data set, and new case counts from the CDC COVID data tracker.

You can clearly see what appears to be the Omicron impact circled in red.  I date the Omicron wave to 12/17/2021.  Before that, the case hospitalization rate was about 6.5%.  As of the last day show, it has plummeted to 4.0%.  That fairly abrupt change certainly has all the earmarks of cause-and-effect, given the relatively stable rate prior to that point.

That’s the easy part.

The hard part is guessing what the Delta/Omicron mix is, corresponding to that 4% case hospitalization rate.  And here, I’m not going to get all fancy.  That’s a seven-day moving average ending 12/27.  So the median day is somewhere around 12/23 or 12/24.  Which is roughly contemporaneous with the last CDC estimate of Omicron’s share of cases (week ending 12/25).  So I’m just going to take the CDC’s number.  I’m just going to assume that 59% of those cases were Omicron.

The rest is just a bit of trial-and-error with Excel.

  • If the case hospitalization rate under Delta was 6.5%,
  • and the case hospitalization under a 31%/59% Delta/Omicron mix is 4%,
  • then the case hospitalization rate for Omicron must be 2.3%

To sum that up, it looks like Omicron’s case hospitalization rate is about one-third of Delta’s rate.  That’s in the ballpark of more careful estimates from Scotland and England.  But much higher than the South African estimate that Omicron had just one-fifth the case hospitalization rate.  Plausibly, that would depend, in part, on differences in propensity to hospitalize persons in those countries.

A little sensitivity analysis is called for.  By far, the most uncertain aspect of this is the fraction of newly-diagnoses cases that are Omicron.  The CDC didn’t actually say that Omicron accounted for 59% of cases.  The CDC actually said that there’s a 95% chance that Omicron accounted for between 42% and 74% of new cases.  Like so:

Source:  CDC COVID data tracker, accessed 12/29/2021.

We can use the range of the CDC’s confidence interval for the percent of  cases that are Omicron to show how this calculation of the estimated case hospitalization rate would change.  Same algebra as above, just a different set of assumptions.

I think the important lesson is from the bottom line of the table.  At worst — using the upper bound of the CDC’s confidence interval for its estimate of Omicron as a share of cases — the case hospitalization rate for Omicron is less than half that of Delta.

Some caveats.

Is it too soon to say anything meaningful about Omicron’s case hospitalization rate?  No.  I already dealt with the objection that hospitalizations lag new cases in prior posts.  There are plenty of real-life lags between (e.g.) date of infection, symptom onset, and hospitalization.  But as-reported, with all reporting lags included, the new cases and new hospitalizations series are very nearly exactly contemporaneous. The average lag between changes in reported new cases and changes in reported hospitalizations is one day.

Is this estimate going to mistake changes in vaccination rates and such with differences between Delta and Omicron?  No.  Because Omicron has grown so quickly, I can compare the U.S. today to the U.S. just a couple of weeks ago.  More-or-less the same population, more-or-less the same vaccination rate.   Not much changed in the past couple of weeks.

It’s possible that there may be significant demographic differences between the Omicron-infected and the Delta-infected.  But a) I doubt that, and b) there’s no timely data source in the U.S. that would tell us that.  So that remains a caveat.


Footnote:  Pediatric admissions as fraction of total.

There have been a lot of stories about increased pediatric admissions for COVID.  But, you know, anything having to do with dying children always gets a lot of press coverage.  So the question is, for the U.S. as a whole, is it true that pediatric admissions with COVID-19 have increased disproportionately?

The short answer is yes.   Below you see that pediatric admissions have gone from about 2.5% of admissions with COVID-19 to about 3.5%, over the course of the Omicron wave so far. As with the graph above, that short, sharp increase has all the earmarks of being cause-and-effect.

Source:  Calculated from U.S. DHHS unified hospital admission data. accessed 12/29/2021.

In terms of the absolute number of cases, this amounts to about 350 children per day admitted to the hospital with COVID.

There are two things to keep in mind.

First, we don’t know what fraction of those are admitted for treatment for COVID, versus admissions where the COVID is an incidental finding.  Near as I can tell, the U.S. data track something akin to “COVID present on admission”.  They are not tracking cases with COVID as the principal diagnosis (the reason for admission, see Post #1351).

Second, we don’t know what fraction of new cases are pediatric cases.  This might just be tracking the trend in new cases, for all we know.  There is no timely national data set that breaks out the new case counts by age.


Case mortality rate.

I can’t even hazard a good guess here.

In addition to the case hospitalization rate, I’d like to have some idea of the case mortality rate. What fraction of diagnosed Omicron cases go on to die from it?  In the U.S, for Delta, for the most recent period, that number has been just over 1 percent.

It’s too early to see Omicron’s impact on the U.S. case mortality rate.  There’s roughly a two week lag between reported new cases and reported deaths, and two weeks ago Omicron was barely on the horizon in the U.S.

Instead, I looked at three countries where Omicron hit earlier than it did in the U.S.  It’s not clear that any of these provides a good comparison.

In South Africa, the most recent data are all Omicron.  Between they had a material increase in vaccination rate between their prior (Delta) and current (Omicron) waves.  The apparent five-fold reduction in case mortality might be due, in part, to concentrating vaccinations among the highest-risk (e.g., elderly) population.

For two other countries where we can plausibly compare the mortality rates (Great Britain,  Norway), you really can’t see much of an impact of Omicron on the case mortality rate.  I don’t really know why.  I can only guess that this remains an artifact of the long time lags required to gather the mortality data.  In both cases, we’re looking at new cases that appeared in late November/early December.  Even with those countries, Omicron probably wasn’t a big enough factor to have generated large changes in the mortality rate yet.

At the end of the day, in the U.S., all I can do is take a guess.

I’m going to guess that we’ll see about the same effect on case mortality as we see on case hospitalization.   Probably, the ultimate case mortality rate for Omicron is going to end up being somewhere around a third that of Delta.   (I say that mostly because that’s how the Virginia numbers look, for vaccinated versus unvaccinated persons, under Delta.  The reduction in the mortality rate due to vaccination is always similar to the reduction in the hospitalization rate.)

If so, that will make Omicron considerably deadlier than seasonal flu.  A one-third reduction relative to Delta would result in a roughly 0.4% case mortality rate for Delta in the U.S., compared to a 0.1% case mortality rate for flu in the U.S.

My conclusion is much the same as for hospitalizations.  Omicron appears much less virulent than Delta.  But it’s an exaggeration to say that it’s no worse than flu.  Best guess, given what I can get my hands on today, it’ll result in about twice the hospitalization rate and four times the death rate of flu.

(And, of course, those who claim COVID is no worse than “a cold” are just ill-informed.  First, “a cold” is not a single well-defined disease, but refers to the symptoms of any number of upper respiratory viral infections.  Second, near as I can tell, you can’t even find a case mortality estimate for “a cold”, presumably because deaths attributable to complications of a cold are so rare.  Third, the same goes for a case hospitalization rate for “a cold”.  People who claim COVID is no worse than a cold have probably never even tried to look up the actual case hospitalization and mortality data.)

In short, if you’re in one of the higher-risk populations, I think it’s still well worth your while to avoid this strain of COVID.  It’s as prevalent in the population now as it was at the peak of last year’s winter wave.  And while your odds of hospitalization and death, if infected, are lower now than they were then, they are still non-negligible.  Best guess, as of today, if you get infected, you’ve got a better than 1-in-50 chance of ending up in the hospital.

Post #1371: The path of Omicron in six countries.

I’m just trying to get a handle on where things are likely to be headed in the U.S. for the near term.  I’m just going to present the last three months of new cases, with a little commentary.  These plots all come from Google searched for COVID and the country’s name.

Here’s the game I’m playing:  How hard is it to interpret what you are seeing as a peak in new cases?  In other words, how much wishful thinking is required to say that a country has already passed its Omicron peak.

South Africa is an example of a short, sharp peak.  No wishful thinking required.  There were almost no cases of COVID-19 in circulation just prior to the Omicron wave there, so that’s pretty much a pure Omicron wave.  And it’s receding at just about the same rate that it grew.

Norway has peaked, but more gradually than South Africa.  Again, not much imagination required to interpret the graph below as showing a peak.  But Norway was already having a winter wave of Delta when Omicron came along.  The early part of that wave is Delta, the latter part is Omicron.  That might explain the relatively slow ramp-up compared to South Africa.

Denmark hasn’t reported post-Christmas data yet.  Too soon to tell.  Maybe a hint of a peak just prior to Christmas.  But with no post-Christmas data, it takes a lot of wishful thinking to call that a peak.

Great Britain’s first post-Christmas data looks high, but that one bar is three days’ worth of data.  With just a bit of wishful thinking — break the last bar into thirds and fill in last three slots with that — yeah, maybe that looks peak-ish.  But it’s too soon to tell.  That relatively low first post-Christmas data point might be an artifact of testing availability and behavior over the holiday.

Canada’s COVID trends tend to mirror those in the U.S. (or vice-versa, depending on which side of the border you reside).  I can see a peak there, if I just focus on the shape of the blue bars, not the seven-day-moving average line.    Another few days ought to determine that one way or the other.

U.S.A. data reporting is so ragged, it’s hard to say much.  But, trying to be positive here, take that last blue bar, break off a piece to fill in the reporting hole two days’ prior, and things haven’t really changed much in the last six days.  Sure, the seven-day moving average is still rising sharply.  But it’s not completely out of the question that (e.g.) growth in new cases has at least slowed.

Post #1369: COVID-19 trend to 12/27/2021, not quite a new record

I thought that we’d break the U.S. record for daily new COVID-19 cases today.  But we’re just a touch short.  Looks like we’ll almost certainly break it tomorrow.

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 12/28/2021, 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.

The good news is that the official hospitalization counts out of the CDC show no proportionate rise in hospitalizations.  Note that, as scaled, this is the first time in the pandemic where the hospitalizations line is below the new cases line.

Source:  CDC COVID data tracker.

You’re going to see people dismiss this as “too soon to tell”, but my best analysis says that’s incorrect.  (Or, for that matter, just look at the peak from January — looks like the lines were pretty much in sync then.)  I went over all this a coupe of posts ago.  There are significant lags between (e.g.) infection, symptom onset, and hospitalization.  But that’s not the point.  Near as I can tell, on average, for the two lines shown above, reported new hospitalizations lag reported newly diagnosed cases by one day, on average.

For sure, people are still being hospitalized and dying.  But at a lower rate, per case, for Omicron than for prior variants.

The problem is, while the hospitalization rate is lower, it doesn’t appear to be anywhere near as low as early research suggested.  But I think I have the answer for that, in the next post.

That said, this wave isn’t stopping, it’s continuing to accelerate.  And before the words “post-Christmas-surge” leave your lips, please note that a) this wave started before Christmas, and b) owing to the typical lag between infection and reporting, the cases showing up today were infected well before Christmas.

My expectation of a short, sharp wave, based on what occurred in South Africa, appears incorrect.  Sharp, yes.  But so far, no strong indication that this is going to be sort.  South Africa and Norway did indeed have a short, sharp peak.  Great Britain and Denmark did not.  As of today, it looks like the U.S. is going to fall into the “not” group.

We can hope that this last uptick is some sort of reverse holiday effect.  Maybe a lot of people decided to get tested before joining relatives for the holidays.  If so, that would be unique to this year.  That certainly didn’t happen last year.  But if so, that will wash through the data in just a few days.

As you can see from this final chart, cases are up in all regions.  The daily new case rate has not-quite-doubled since the start of the Omicron wave on 12/17/2021.

 

Post #1368: COVID-19 trend to 12/26/2021: Unexpected growth.

Bottom line:  The holidays don’t seem to be making a dent in the growth of reported new U.S. COVID-19 cases this year.

Tomorrow, when all the states report new data, you’ll see that the U.S. has broken the record for daily new cases, set at the peak of the last winter wave. 

For now, here’s my best guess for the U.S. trend through 12/26/2021.  This is the actual U.S. average through 12/23.  Beyond that, it’s based on the growth observed in the ten states that consistently reported data from 12/23 to 12/26.

Based on that hybrid estimate, daily new cases have now roughly doubled in the nine days since the start of the Omicron wave.  Best guess, as of today, the U.S. averages about 76 new COVID-19 cases / 100K / day.

We will get actual data from almost all states tomorrow, at which point I’ll replace this “hybrid” estimate with the actual data.

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 12/27/2021, 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.

That said, I think it’s finally dawning on a lot of people that the simple count of cases doesn’t tell you much, if you’re replacing Delta with a far-less-virulent Omicron.  I’ve made that point here, and I’m now seeing that in mainstream media (example).

As far as I can tell, there has still been no commensurate surge in hospitalizations.  The CDC still has not updated its COVID-19 data tracker, so this graph is my calculation from the US DHHS hospitalization data itself.

Source for hospital data:  Calculation from this U.S. DHHS file.

I believe this is consistent what what’s being observed in those states that produce timely hospitalization data.  So far, even for states where new cases are skyrocketing, there has been, at most, am increase in hospitalizations that is far less-than-proportionate to the increase in newly diagnosed cases.