Ewan Birney Profile picture
Oct 3, 2020 16 tweets 3 min read Read on X
For COVID watchers, in particular journalists, a primer (again) to get you through what - best case - will be a bumpy month and could possibly be going the wrong way on the numbers.
(Context: I am an expert on one area - human genetics/genomics; I am one-step-away from experts in other areas; I have one substantial COI on testing in that I'm a long established consultant to Oxford Nanopore which has made a new COVID test)
I will keep banging this drum - your (and government's) solid ground is hospitalisations and random sampled surveys (REACT and ONS in the UK; I think there are equivalent in France and Germany; could French and German pros respond. I don't think there is a regularly one in Spain)
Not only do daily numbers go up and down due to all sorts of reporting fluctuations (it is super hard to do this; don't confuse an easy to use/download website into making you think it is easy to even get the numbers) but also testing strategy is now broadening out
For example, there is more asymptomatic testing (healthcare workers, care home workers, universities) though at different cadences. The presence of more back tracing (enhanced tracing in UK speak) means opportunities for targetted local asymptomatic testing.
Asymptomatic testing is ideally closing the gap between estimated cases (from surveys etc) to known (with isolation etc). In contrast, testing capacity and logistics issues (people unable to get a test) means tests are being rationed or prioritised in often changing ways.
In this case, it is perfectly possible lower case numbers reported on a day is about a change in capacity/logistics and how that interacts with previous test seeking behviours (mandated or encouraged).
So - where possible - stick to your solid ground, and say wisely "we will have to wait for the next ONS survey".
Some other things which I think don't get enough attention in the UK context:
1. Northern Ireland. Because the surveys often don't reach there we have a less rounded dataset there, but the case data does not look like it is going the right way.
2. The regionality of UK rise in cases, and the regionality of control (North West is a big region, and you want to get inside of Bolton/Liverpool/St Helens etc). Frustratingly having argued you should know your solid ground, you have to go off case levels numbers here.
3. Contact tracing - these are the hard yards of infectious epidemiology both in call centres who know what they are doing and also house-to-house in high areas. I am now at a two-steps-away expertise zone from this, but lots of hard work to do well here.
4. Isolation support and isolation compliance. It is a key part to this phase and there is no point testing and contact tracing if the action is not there. Again, I think working this out from London/Hampshire zoom calls is not the same as a Manchester/Newcastle perspective
How many people isolate? Changing their behaviour alot is probably as important as "not seeing anyone at all" - but what do people actually do? For the people who do less, why is it in a "how do we make this work for everyone" way?
I'm afraid my understanding of French, German and Italian contact tracing and isolation is poor, beyond that Germany really seems to do it well (Go Germany!) and I think Italy has really improved from March (Go Italy). French feels, from afar, similar to UK.
Spanish is always super-complex because here there is no "Spainish" way - there are the regional health regions with plenty of variance in approach; also makes understanding it from the outside super-tricky. I hope Madrid and other hot areas in Spain get it under control.

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More from @ewanbirney

Apr 2
A short, personal thread on what is odd about other cultures when interacting with Brits, and then also what I think is odd about Brits when interacting with other cultures - highly, highly personal, but from >30 years working internationally.
German+Dutch do not have to preface a challenge with "I think you might have missed something..." or some other British-style softening up. It is entirely fine - indeed polite/shows respect - just come out "you are wrong because X,Y" - this directness is surprising for a Brit.
Northern (Protestant/river/Prussian) Germans are very different from Southern (Catholic, Mountain+Forest) Germans. Don't confuse them. External stereotypes of Germans (in particular in Britain) is a weird mixture of both and you have to untangle this.
Read 20 tweets
Feb 20
The publication of the whole genomes from the US @AllofUsResearch cohort is great to see, but the choice of how to represent an overview of the genetic relationships has (rightly) drawn controversy, in particular how the concepts of ethnicity and race are mapped to it.
This is not in bad faith - the AllofUs cohort should be applauded in its diversity push and much of the but it is an illustration of the messiness of genetics and the inability to represent our complex relationships in any 2D space. Longer thread below>>
A reminder that genetics (the variation in DNA sequence passed down from your parents, +their parents etc) and race or ethnicity (a box people tick on surveys or on census) are quite different concepts, strongly linked only by visible features which are genetic, eg, skin colour
Read 28 tweets
Jan 19
Next monday is 4 hours of preliminary grant reviews - a necessary but intense part of being a scientist who goes through peer review is being the reviewer. As ever, I am rather amazed by scientists who make simple mistakes in their proposals. My thoughts for a good proposal:
For me as a reviewer you need to convince me of 4 major things. >>
1. Is the problem important/interesting? 2. What has changed in the last ~five years that means an important/interesting problem can now be tackled? 3. Can you actually perform the science? Is it likely to fail? 4. Why are you one of the best people in the world to do this?
Read 18 tweets
Dec 10, 2023
It is a dark, drizzly december sunday in London and I've just read yet another depressing thread of someone reaching for genetics to justify racism and superiority to themselves. It is deeply wrong, but such a recurrent thread worth both dismantling+ understanding the attraction
Let's dismantle first; although a feature of ethnicity/race is skin colour and other visible features, and although these have strong genetic components, counter-intutively for most people, ethnicity is *not* a good predictor for genetics
(certain manipulations of genetic information are reasonable predictors of ethnicity in a single country setting but the reverse is not true; the genetic space is far more high dimensional than these crude ethnicity labels, and it all breaks down when you go global)
Read 25 tweets
May 21, 2023
Here is the slightly cheesy montage for the great #nanoporeconf for 2023 - and, with a reminder of my conflict of interest - I am a longestablished paid consultant for Oxford Nanopore and a shareholder - here are my thoughts on the conference.
For long time nanopore scientists -and I am definitely one of those- one can definitely both plot progress London Calling conference (on the Thames in London) both in terms of what the company presents as near and long horizon+how the plenary speakers use and talk about nanopore
From the company side, much of this was giving a roadmap of key software and flow cells; the R10 flow cells (which is a distinct step up in quality) are now routine; what is not yet is high yield duplex which has being moving from Oxford to Alpha to broader Beta testers.
Read 34 tweets
May 21, 2023
My friend and economics/ markets guru @felixmwmartin commenting on super human AI and all too human market behaviour - on the money that AI will transform many things (science included - it has started in earnest) but also more broadly in the economy
Economics and biology are closer in data science than you might think - in particular micro economics and observational human biology aka epidemiology. Plenty of differences but lots of overlap as well, eg biased sampling, many hidden confounders, clearly correlated variables
A deeper issue is the need to understand causality / intervention- if I enacted this policy or provided this drug what would happen next. Finding the golden causal threads in the tangled Gordian knot (hairball?) of correlation is a common challenge shared by biology+economics
Read 6 tweets

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