Here's a startling graph illustrating a point that people are beginning to talk about, but not visualizing well. And showing that concepts from 6 weeks ago aren't applying. Changes in ratio of new cases PER 100K of fully vax to unvax.
data is from Ontario, but it sounds like US experience is at least directionally similar. Vaccines were doing excellent (even if not perfect) job against cases, not just against ICU and hospitalization. In midDecember, with arrival of omicron, advantage disappeared, then reversed
the erosion of relative advantage of fully vax to unvax in respect to non-ICU hospitalization also began in mid-December, eroding rapidly. Opinions based on data prior to mid-December are no longer valid.
as an editorial comment, these graphs have certain distinctive, shall we say, Hockey Stick shape. An issue that readers of the original Climate Audit blog will appreciate.
I wonder if climate hockey stick advocates are also COVID vaccine hockey stick deniers.
in this graph, I've plotted 1- Full_Vax_NewCases_Per_100K/Unvax_NewCases_Per_100K as a measure of vaccine "effectiveness" relative to CASES. Related to but different from "seriousness". By this measures, vax were ~85% "effective" in Sept, sliding to ~75% effective in Nov/earlyDec
starting in mid-December, the "effectiveness" of vaccines against infection eroded to nothing by three days before Christmas and then, in less than a week, became about 30% negative for past two weeks.
A similar pattern appears to be occurring in other jurisdictions.
what about boosters? Data on cases per 100K boosted is thus far unavailable in Ontario (where I live. Most boosters in Ontario have been given in past 5 weeks, so this campaign has (oddly) coincided with the erosion of case protection for fully_vax.
It's entirely possible that boosters do achieve case effectiveness ratios similar to those observed in September. But, be that as it may, nobody expected the dramatic and sudden decline in case effectiveness that we've experienced in past three weeks.
such data (or corresponding US data) seems relevant to the astonishingly disconnected debate at US Supreme Court on vaccine mandates. As matters stand, mere "full vaccination" doesn't do anything to stop the spread of Omicron. So it doesn't protect fellow workers (or Grandma)
thus far, vaccination appears to be holding up as firewall against severe illness, a less broad but still important objective. (But even here, disquietingly, not as well as before). But that's a different argument.
the view of some US Supreme Court justices (and Canadian politicians) that vaccine mandates would lead to overnight disappearance of disease was over-egged with Delta, but, in respect to Omicron, has reached cargo cult anti-science.
I had personally hoped and expected that at ~70% vaccination, the R factor would decrease and extinguish the vaccine. But that's long in the rear view mirror.
as an important perspective, a thoughtful Ontario doctor observes that Omicron, despite the data, is considerably less virulent than Delta. Staffing issues for hospitals arise from cases among staff, but these will be transient issues
Ontario does provide rate data stratified by agegroup and vax status. Below is vaccine "efficacy" (1- full_vax_rate/unvax_rate) for agegroups 12-60, each showing erosion phenomenon. Younger and older not shown due to data "wrangling" issues - see next tweet.
in Ontario, vaccination rates over 70 are so high that unvax population is miniscule; vax of under 12 began only recently. Comparison of full_vax rate to unvax rate in both agegroups raises data "wrangling" issues that I don't have time to do right now.
be that as it may, the almost overnight erosion of vaccine protection against cases for the large population between 12 and 60 is clearly what's driving the casedemic.
as to hospitalizations and ICU, ICU occupancy for Delta and COVID Classic were dominated by 60-90 age range and I suspect that will remain true. This agegroup in Ontario is highly boosted.
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today's disinformation from Ontario Science Table. Local to me, but prob representative of science advice elsewhere. Left- ACTUAL hospitalization data by vax status. Right - hospitalization infographic from Science Table. Look at difference,
2/ up to mid-Dec, actual COVID hospitalizations were dominantly unvax, with only handful of full_vax. In last 3 weeks, reported hosp'ns exploded, with vast majority being two-plus vax. While unvax proportion is higher, "problem" arises from absolute count. Which is now mostly vax
3/ SciTable infographic implies that onslaught of hospitalizations is coming from unvax, with vax hospitalizations making only a minor contribution. No wonder politicians are demonizing unvax. While unvax "over-contribute", they are not driving the increase. Contrary to SciTable
To give perspective on difficulties for policy-makers, this graph shows the ratio of full vax non-ICU hospitalizations per MM to unvax non-ICU hospitalizations. Very very rapid erosion of advantage.
Nothing in SciTable Dec 16 briefing even hints at such a possibility.
SciTable and other perpetual government critics like to claim that if only govt had listened to them, none of this would have happened. Then Trudeau and others blame unvax for tribulations.
I'm pro-vax, but the problem that govt is facing right now isnt from the unvax, but from infections and hospitalizations among the fully vax as relative protection of fully vax has eroded.
Three weeks ago, Ontario Science Table covid19-sciencetable.ca/wp-content/upl… challenged claims of lower Omicron severity using data from Gauteng (population 15 MM) shown below.
SciTable are supposed to be non-partisan SCIENCE advisors.
here's a comparison of actual Gauteng data up to Dec 16 (github.com/dsfsi/covid19z…). The boxes on right correspond to the excerpts shown in the SciTable figure. In full context, data shows exactly the opposite of SciTable claim. ICU and deaths had risen FAR less than previous waves
if the entire data for pandemic had been shown, together with corresponding case data, Ontario politicians and policy-makers would probably have drawn logical conclusion: that data showed Omicron as less severe. But SciTable didn't show them the full story.
Trudeau, like Biden, purports to blame unvaccinated for COVID case explosion, but vast majority of cases are among fully vax and current rate of infection per 100K among fully vax higher than among unvax. Problem is not as simplistic as Trudeau says.
I say this as someone that got vaccinated and boosted at earliest opportunity and am glad that I did. Nor do I fault anyone for rapid spread of Omicron even among fully vax. It's frustrating and discouraging. But Trudeau's hatemongering is no help.
nor is Trudeau correct to blame increase in hospitalizations on unvax. The sudden increase in Ontario hospitalizations is almost entirely due to non-ICU hospitalizations among fully_vax. Something that we all expected (and were assured) would be forestalled by vaccines.
I've long commented that the most interesting and disquieting period in Russiagate is period from commissioning of the in early December to appointment of Mueller. I've been cataloguing leaks and documents day-by-day.
does anyone recall any memorable Strzok texts from this period? We all remember the "insurance policy" and smell of Walmart, but those were during the campaign, not the "resistance" period leading up to Mueller. I'll bet that you have a hard time recalling a good one.
There's a reason why it's hard to recall a memorable text from the "resistance" period: there weren't ANY published Strzok-Page texts in original drop between December 13, 2016 and May 18, 2017 (day after Mueller appointment).
UK Covid cases are down almost 50% in two days from their peak. Hopefully they've seen top of this wave. So far no pressure on ICUs or deaths. Ontario doomcasters should note: @NathanStall@BogochIsaac
South Africa's omicron wave is about 6 weeks old and waning almost as fast as it began. ICU occupancy, a lag statistic, has continued up but is NOWHERE near peaks of earlier waves. Numbers on right are weekly on same day.
on December 16, Ontario Science Table showed steeply increasing South African case data and warned that hospitalization increase accompanied it (implying admissions were for COVID, not with COVID).