1/

Vaccine debate now brewing on (i) who gets it first, and (ii) vaccine rates required for herd-immunity & getting back to normal.

Public Health says no normal ‘til vax rates are 60-70% (*assumed* herd threshold).

The Toronto data says perhaps just 10.9%...

Let’s explore…
2/

I’ll get to the data in a moment, but first, I present two opposing viewpoints, then you can decide what the data says makes the most sense…
3a/

1st view, Dr. Yaffe today in Ontario:

“its gonna take months before…significant % of the pop vaxx’d--usually for infectious diseases 60-70% of the pop is needed for herd immunity; we’re not gonna get there until probably the summer”… 22m:30s:
3b/

…Dr. Fauci said essentially the same thing to Axios on Dec 10th:

“Once 75%-80% of people get vaccinated against the coronavirus, there should be strong enough herd immunity that we can return to normal activities.”
3c/

…and Bill Gates with essentially the same view:
4a/

2nd view, held by Dr. Jay Bhattachayra of the @gbdeclaration, is more nuanced:

Paraphrased, “We know the elderly are the most vulnerable people…vaccinate the elderly, end the lockdown in two months… the key idea is we want to minimize the mortality from this disease…
4b/

…and so we find the people most likely to die if infected and give the vaccine to them first…vaccinate to minimize mortality in the short run and then end the lockdown.”
5/

So one camp says no normal until great majority of population is vaccinated, another other camp says vaccinate the most at risk to reduce mortality, and let society open up as we do so.

Okay, now onto the data….
6/

The data says (and we all already know this) that while anyone can get infected with COVID19, the risk of a bad disease, hospitalization and /or mortality is exponentially greater for certain age groups and health risks…
7/

In Toronto we have case hospitalization data, so we can show…

The *age-stratified risk* of hospitalization given a COVID19 infection (which will likely be the same as everywhere).
30x+ more risk of hospitalization in the very old vs. the young...
8/

And 1000x more risk of mortality in the very old vs. the young….
9/

In Toronto, ages 70 and above account for just ~10.9% of the population, yet they, sadly, account for * 52.2 % of all COVID19 hospitalizations, and * 87.3% * of all COVID19 deaths.

Shown visually:
10/

Said another way…

In Toronto, there are ~296,000 people 70+. If we successfully vaccinated this group (assuming the vaccination is 95% effective), then we would have reduced COVID19 hospitalizations by almost 50%, and deaths by ~83%...
11/

…and most powerfully, we would have reduced the overall mortality rate from 1.23%, to:

0.16% for 69 and younger, and * JUST 0.05% * for 59 and younger!

(using age-stratified case mortality rates for the second wave (i.e. more accurate))
12/

So do we really need to vaccinate 60-70% of the pop to reduce mortality & severity, end devastating lockdowns, and get back to normal?

Well… we just showed that vaccinating just * TEN PERCECT * of Toronto’s population will reduce overall disease severity significantly.
13/

So you decide whether Fauci/Gates/Yaffe have the right view, or whether Dr. Jay Bhattacharya and his colleagues @sunetragupta and @MartinKulldorff are onto something….

End thread.

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More from @rubiconcapital_

12 Dec
Link thread of the powerful & thought-provoking short video essays produced by @katewand on lockdown/COVID culture. She's now produced 4 of these incredible videos to date, & frankly I’m a bit shocked her following hasn’t grown faster (although she’s now at 2.3K subs on YT).👇
1. “Lockdown: The Right Side of History”

(essay by @stacey_rudin)

“In the COVID debate, there is a mainstream, 'popular' narrative, and a competing, 'unpopular' narrative — a 'fringe.' The former exploits the common, mediocre desire to be 'popular.'"
2. “Lockdown: The Dark Side of History”

(essay by @katewand)

“The year 2020 has been exemplary for those that believe obedience is a high virtue.”
Read 6 tweets
10 Dec
1/ Ontario COVID19 Testing and You (i.e. The Taxpayer)

Conservatively estimated total cost-to-date to Ontarians for PCR testing (incl. asymptomatics)?

Over $350,000,000

At 61,809 tests today, @ ~$52.50/test, that cost you ~$3.25m, or annualized…

~$1.2 billion (with a “B”)…
2/ The province is putting on a masterclass in resource misallocation…

For perspective, the Ontario Gov’t spends ~$4.3b annually on Long-Term Care.

That’s ~$150/day/resident, ~78,000 residents.

We are doing ~62,000 tests/day at @ ~$52.50 per test (again, ~$1.2b annualized).
3/ We should probably ask the question…

Given (i) the age stratified differences in COVID19 mortality, and (ii) that almost 2/3rds of all COVID19 mortality were of LTC residents, does it make sense to spend 27% of the annual LTC budget on mass PCR testing?
Read 9 tweets
2 Dec
1/ Windsor, Ontario

Some chatter in Q&A’s in last few daily briefs with Premier/health officials re: rising cases in Windsor & potential for moving region to lockdown (just moved to “Red” zone on Mon, Nov 30).

Concern is hospital “overrun”… local hospital trends shown here…
2/

Case picture: yes, cases are rising, but overwhelming majority are traced to close contact or outbreak. Averaging only ~8 reported community cases of unknown origin per day. Image
3/

Overall new emergency admissions for three main Windsor-Essex hospitals appear to be:

*FLAT* for the entire month of November.

(Entire Erie-St.Clair area including Chatham/Sarnia also flat). Image
Read 8 tweets
22 Nov
1/ Toronto is entering full lockdown.

In this thread, I’ll show the absurdity of a citywide shutdown, simply using by-neighbourhood case/positivity data, w/ census data integration.

Unmeasurable, unnecessary collateral harm is coming; please read/share.

(get a cup of coffee)
2/ Note: if you are not in Toronto/Canada, you will still find this #SARSCoV2 prevalence analysis and its conclusions compelling, as these same dynamics likely exist in many of the world’s major cities.
3/ Quick note: this analysis follows and adds substantially to a previous related thread, found here (tweets 4a/b sites the data sources/limitations, which are the same as used in this current thread). All %pos/cases data is cumulative since Aug 30.
Read 39 tweets
20 Nov
1/ Brief thread… (I promise)

…focusing in on the correlations between (i) Toronto neighbourhood workforce/demographic concentrations & (ii) #SARSCov2 prevalence (cases/100k) identified in yesterday's thread.

Only a few sips of coffee/tea needed

(but this is no less striking) Image
2/ These data and observations *MUST* inform public policy on #SARSCov2/#COVI19, in my view.
3/ In my thread from yesterday, we examined % test positivity and cases/100k by neighbourhood in Toronto (for its 140 hoods) and then compared them to neighb'hood socioeconomic/demographic concentrations from census data to find (or not find) correlations.
Read 15 tweets
19 Nov
1/ Grab a cup of coffee (or tea)

A comprehensive, neighborhood-by-neighborhood review of #SARSCov2 prevalence/trends in the City of Toronto.

% positivity & cases, with weekly trends since Aug, AND:

*cross referenced with neighborhood census data*

The findings are incredible.
2/ Note: even if you are not in Toronto/Canada, I think you will find this data/analysis compelling, and universally applicable re #SARSCov2/#COVID19 learning and public policy implications.

Toronto’s diversity (>51% visible minority) makes it an interesting case study.
3a/ In this thread, I show/illustrate:

1. for Toronto’s 140 neighbourhoods (and groups of hoods, e.g. DT Core, Northwest), which have increasing/decreasing % pos & cases per 100k.

(Some peaked long before the Oct 10th restrictions. Others still increasing despite restrictions.)
Read 36 tweets

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