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3 Dec, 14 tweets, 4 min read
Ugh both the headline and the study it's based on are...pretty dubious

Let's look at some science on twitter 1/n
2/n Paper is here, it's really your bog-standard epidemiological study. The authors took a large database of people who had tested positive to COVID-19 and compared them to people who hadn't in Israel
sciencedirect.com/science/articl…
3/n The two groups were different in loads of ways. However, after putting all the variables into a statistical model, they found that asthma appeared to still be significantly connected to risk of COVID-19!
4/n They then went on to suggest that this statistically significant result may mean that asthma is protective against COVID-19, although the mechanism is unknown
5/n Now, most epidemiologists are probably already groaning, because this is a very beautiful example of the Table 2 fallacy, which is a pretty common problem
6/n The basic issue here is that you have to be VERY CAREFUL with your statistical models. If you just lump everything in together it can make the results a bit meaningless
7/n There's also a problem in this study that boils down to selection bias

You see, the study wasn't looking at every person infected with COVID-19

It was looking at everyone who TESTED POSITIVE TO COVID-19
8/n This creates an issue known as selection bias. The group of people that is selected to be studied (due to who got a test for COVID-19 in Israel earlier this year) may not be representative of the population in crucial ways that could have biased the results
9/n For example, we know that asthma diagnoses are very variable by many characteristics, which may also make people more or less likely to go get tested for COVID-19 (young men, for example - lots of asthma, might avoid testing)
10/n It also makes correcting for confounding challenging, because we do not know which biases are influencing the SELECTION of participants
11/n Ultimately, it's a bit hard to say more than that people with asthma were less likely to have a positive COVID-19 test in the group of people presenting for testing in Israel earlier this year
12/n While that's a bit less sensational than the headline, it's also a bit more true
13/n I should also note - the study itself is fine, generally, but the limitations section doesn't really discuss some of the biggest drawbacks of their methodology which I don't love
14/n Anyway, the most likely explanation to me for fewer people with asthma getting COVID-19 is that we told them to be careful not to catch the respiratory infection because they could easily die and so they were more careful

Inhalers? Ehhhhh

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More from @GidMK

2 Dec
The important thing to remember is that (outside of a trial) REPORTED side-effects are common. Side-effects LINKED TO THE VACCINE are much less so
Worth clarifying here that what I mean is that there will undoubtedly be many reports of problems that people have following vaccination - this is NORMAL
It's just the law of large numbers at work. If enough people are given a vaccine, sooner or later one of them will be, say, hit by a car shortly after

The question is whether this is related to the vaccine or not!
Read 7 tweets
27 Nov
Wow. Yet another ecological paper on COVID-19 that appears to have some astonishing flaws

Let's do a bit of peer-review on twitter 1/n
2/n Paper is here. Basically, the authors took total COVID-19 mortality in a range of countries by August 31st and correlated them with country-level metrics such as average BMI frontiersin.org/articles/10.33…
3/n The authors found that country-level metrics compiled by the University of Oxford on the stringency of lockdowns did not correlate well with the number of deaths that a country experienced from COVID-19, but other things like BMI and latitude did
Read 18 tweets
25 Nov
This is actually an excellent point that is not made often enough. Most vaccine trials are done over years, so they have smaller numbers because more people get infected. The COVID-19 trials are VAST
We won't pick up on any long-term side-effects that only take place after 6-12 months, of course, because of the shorter time frame

Still, the trials are pretty amazing
Worth noting here that when I say "long-term" I really mean "only diagnosed after 6 months". By the time vaccines are rolled out, we'll have at least 6 months of follow-up data so anything that you'd expect to be picked up in that time-frame should show some signal
Read 5 tweets
25 Nov
I added some very useful context

Tests take a short time to be recorded as cases. Cases take a while to go to hospital and then be recorded. Deaths take weeks to appear in the stats

The deaths reported today represent people who got sick ~3-6 weeks ago 😬
The corollary, of course, is that we won't see deaths attributable to the enormous rise in cases for another few weeks, and that hospitalizations from the record-breaking days of new cases are still coming in
This is all very rough, and since @COVID19Tracking aggregates all the different states there's a lot of variance. Different places report differently!
Read 4 tweets
25 Nov
A really fascinating paper looking at contact tracing in England that provides some convincing evidence that testing/tracing reduces infections and deaths

warwick.ac.uk/fac/soc/econom…
The authors used the now-famous Excel spreadsheet stuff-up to perform a quasi-experimental analysis of whether places where no contacts were traced had higher levels of infections

They did
The estimates imply that, for every case that was not traced, there were an additional 25 cases down the track
Read 5 tweets
25 Nov
In the dissection of the Year That Was COVID-19, one of the most depressing failures will probably be the vast, almost uncountable sums we've spent proving over and over that HCQ doesn't work
Glad that these results are getting published, but it's still astonishing just how much effort we threw behind a single drug despite many early indications that it was a red herring
We should never really have been in a situation where, simply because it was popular, most of the urgently needed research funds (and patients) went to research a single medication
Read 4 tweets

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