1/T

As we get closer to the end of the pandemic, it's worthwhile to look back on false claims that helped make the pandemic worse.

One of these claims was:
COVID-19 is not much of a danger to people outside of nursing homes + other institutions.

2/T

John Ioannidis is a proponent of this claim.

He argued that relatively few SARS-CoV-2-infected people died of the disease COVID-19, outside of nursing homes.

In other words: the infection fatality rate, or IFR, was low outside of nursing homes.

institutefordiseasemodeling.github.io/nCoV-public/an…
3/T

He defended this idea since at least early May 2020. And he continued to defend it in his most recent work:

"in Europe and the Americas (~0.2% among community-dwelling non-institutionalized people)"
onlinelibrary.wiley.com/doi/10.1111/ec…

medrxiv.org/content/10.110…
sciencedirect.com/science/articl…
4/T

Ioannidis' idea then led to the "focused protection" strategy of the Great Barrington Declaration:

Protect 'vulnerable' people in nursing homes and elsewhere. But impose almost no restrictions on the general population of less 'vulnerable' people.

5/T

So a lot hinges on the idea that IFR is low (≤~0.2%) in the Americas and Europe, outside of nursing homes.

If IFR is higher, then letting many people get infected in the general population would lead to a huge pandemic with many COVID-19 deaths.

6/T

Unfortunately, IFR was ≥0.2% in the Americas + Europe, outside of nursing homes:

0.2% - 0.4%: medrxiv.org/content/10.110…
0.3%: ncbi.nlm.nih.gov/pmc/articles/P… []
0.3%: thelancet.com/journals/lanin… (appendix)

{blue shade: 0.79% (0.68–0.92%)}
nature.com/articles/s4158…
8/T

Re: "IFR was ≥0.2%"

Parts 6/T + 7/T focused on studies that use representative/randomized sampling.



But even studies with non-representative sampling debunk Ioannidis' idea:

0.6%: medrxiv.org/content/10.110…

0.8%:
medrxiv.org/content/10.110…
9/T

Ioannidis also performed a misleading comparison of:
- influenza IFR, *including nursing home deaths*
- SARS-CoV-2 IFR, *without nursing home deaths*



That doesn't correct for influenza killing older people in nursing homes.

cdc.gov/flu/about/burd…
10/T

So Ioannidis' position, + that of the Great Barrington Declaration, still rests on:

- under-estimating the risk COVID-19 poses to the general population, including outside nursing homes
- misleading comparisons to influenza


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More from @AtomsksSanakan

3 Apr
1/U

You may recently have heard that COVID-19 has a fatality rate of ~0.15%, making it akin to a bad flu.

In reality, a more accurate fatality rate would be closer to ~0.6%, as per the WHO.
That's ≥10X worse than seasonal flu, and ~100X worse than the 2009 swine flu pandemic.
2/U

Background:

Infection fatality rate (IFR) is the proportion of people infected with the virus SARS-CoV-2 who die of the disease COVID-19.

IFR for seasonal flu is <0.1%, as per the WHO, among others:
who.int/emergencies/di…



institutefordiseasemodeling.github.io/nCoV-public/an…
3/U

So, following @BallouxFrancois, who in their right mind would claim COVID-19 has an IFR comparable with that of seasonal flu?

Well, I can think of at least 2 people.
You likely know who one of them is. 😉

from 2:27 :
Read 30 tweets
27 Mar
1/J

John Ioannidis published an article defending his low estimate of COVID-19's fatality rate.

It contains so many distortions that I'll try something I've never done on Twitter for a paper:

Go thru distortions page-by-page.

This will take awhile. 😑

onlinelibrary.wiley.com/doi/10.1111/ec… Image
2/J

Some context:

Infection fatality rate, or IFR, is the proportion of people infected with the virus SARS-CoV-2 who die of the disease COVID-19.

There are many IFR estimates, including some from Ioannidis.



institutefordiseasemodeling.github.io/nCoV-public/an… Image
3/J

Seroprevalence studies (serosurveys) measure antibody levels to estimate the number of infected people.

Dividing COVID-19 deaths by that number of infected people gives a seroprevalence-based IFR.



who.int/bulletin/volum… Image
Read 48 tweets
26 Mar
1/C

One my pet peeves is tone trolling, which is:
emphasizing the *tone* of a discussion on X, to avoid addressing the *substance/evidence/facts* on X.

This thread will cover an instance of tone trolling from @VPrasadMDMPH.



2/C

In the above tweet, Prasad uses tone trolling to defend John Ioannidis. Since at least March 2020, + continuing to now, Ioannidis made obviously incorrect claims that downplayed the risk of COVID-19.





web.archive.org/web/2020121700…
3/C

Example: Ioannidis so under-estimated the proportion of people infected people who die of COVID-19 (i.e. the infection fatality rate, or "IFR"), that he needs more people to be infected than actually exist.

That's impossible



Read 11 tweets
6 Mar
1/G

I made some threads on how those behind the Great Barrington Declaration (GBD; @gbdeclaration) spread disinformation on COVID-19.





On this thread I'll go over some reasons why the GBD itself is nonsense
2/G

GBD's main point is "focused protection"; i.e. strategies that limit infection risk among older people + others at greater risk of dying from COVID-19, while allowing less vulnerable people to live with less restrictions.

gbdeclaration.org
3/G

An obvious problem with that is infection can spread from people less at risk of dying from COVID-19, to people at greater risk of dying from COVID-19.

So allowing the non-vulnerable to get infected places the vulnerable at risk.

ncbi.nlm.nih.gov/pmc/articles/P…
Read 19 tweets
24 Feb
1/E

Various southeast Asian nations suffered relatively few COVID-19 deaths per capita, especially in comparison to many "western" nations.

There's been a lot of speculation on why this is.
So this thread will examine some possible explanations.

archive.is/FkAho Image
2/E

There are at least 3 types of explanation for what's occurring in various southeast Asian countries:

1) insufficient testing that misses many infections and/or misses many COVID-19 deaths
2) lower number of infections
3) lower proportion of infected people die of COVID-19
3/E

For explanation 1:
It's unlikely their testing misses more deaths, since their excess deaths don't outpace their reported COVID-19 deaths more than in many 'western' countries.

nytimes.com/interactive/20…
bbc.com/news/world-530…
economist.com/graphic-detail…

ncbi.nlm.nih.gov/pmc/articles/P… ImageImageImageImage
Read 27 tweets
22 Feb
1/B

The Santa Clara study co-authored by Bendavid, Bhattacharya, Ioannidis, etc. is now out.

Time to once again cover the reasons why it's very wrong.

medrxiv.org/content/10.110…

"COVID-19 antibody seroprevalence in Santa Clara County, California"
academic.oup.com/ije/advance-ar…
2/B

Let's set aside the funding / conflicts of interest underlying the paper, and other such issues. See @stephaniemlee's insightful reporting on that.

This thread will focus more on the scientific points.

buzzfeednews.com/article/stepha…

buzzfeednews.com/article/stepha…
3/B

Background:

When a virus infects u, your body increases production of proteins known as antibodies, which are usually specific to that virus.

So measuring antibodies lets u estimate who was infected, and from that the infection fatality rate (IFR).

institutefordiseasemodeling.github.io/nCoV-public/an…
Read 19 tweets

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