There are debates - important debates - to have in these COVID times, but there are some either stupid debates or misguided in my view debates. Here's my list with brief rejoinders.
1. False positives on tests are grossly inflating the number of cases. Straightforwardly they are not; the system understands false positives, goes to a lot of length to prevent them, and, acknowledging that they can never be 0, carefully models them in analysis.
2. "Hard" Stratify and Shield (or segmentation) is a solution. By "Hard" I mean placing all the at risk people in entirely COVID "safe" environments (extremely low risk of infection) and then having the remaining people at low risk live normal lives, and get the infection.
There is a case for "soft" stratification (I will come back to this) and of course a whole range from very hard to really quite soft, but this is no deus ex machina approach for "solving" the epidemic.
The first issue is the sheer number of at risk people for the acute, lethal disease. It is the majority of people over 65 and that's a lot of people (many many people over 65 are either obese or hypertensive, and of course ~50% are male).
The practicalities of creating and managing very low risk COVID infection environments for this number of people when they will need many things - from shopping to healthcare is eye-watering and basically when people I trust have looked at this, impossible.
(I am not a large scale logistics expert!)
The second thing is that this long term follow on disease from COVID infection ("Long COVID") clearly happens at some rate at earlier ages, and is less male biased, indeed might be female biased.
We don't understand this well enough to map this out, but it definitely means there is both far more people at risk and most importantly, it is harder for us to identify this group.
3. We should shut schools to reduce transmission. Not unless we *really* have to as (a) children are not at increased risk of bad outcomes and (b) the transmission rates between children look similar to elsewhere (or less) and (c) closing schools really impacts children's lives
In addition, home schooling does reduce the effectiveness of working from home considerably for the majority of adults with children (I might be... understating this).
4. We should only act once the NHS capacity limits are reached. This is a mad argument. Firstly there is a huge amount of momentum in this system; acting now only changes hospitalisations in ~4weeks best case as it goes transmission->incubation->early viral infection->COVID
Secondly as soon as one can be confident that one can't control viral transmission one should act. A big error in the management of the Israeli 2nd wave was trying to manage to hospital capacity.
Hospital capacity gives you wiggle room and space for us to make mistakes and recover, but it is not a solution with growing transmission.
So - you might ask what are the debates to be had?
The first is realising that lockdowns are *really* not good - they are not good for mental health, for other health, for livelihoods and for the economy. The economy can socialise debt and spread it over future years, but these are future years we and our children will inhabit
As such, it is *really* important to work out the way to do this with the least restrictions and the least economic pain. This is complex - its still has lots of unknowns on the transmission side (eg why precisely does super-spreading happen?) >>
<< but in addition it feels like this is economic + political policy on steroids, made fast - what outcomes do we want to optimise for (or minimise against)- what is fair and equitable in this compressed decision space with such weird thing (please remove these things not others)
Some of these things feel mundane and petty - should golf courses stay open given the fact that golf is famously a way to wreck a good walk between two people. If we let people walk, why not golf? ( I posit this as an example - I don't want to get into this debate!).
Other things are really complex and more live policy and politics. Working from home works fine for many jobs, but for a variety of the key jobs for the functioning lockdown economy it does not (delivery drivers to nurses).
This goes to the far broader differential between quite a bit of public sector jobs (many of which one can work from home, no furlough needed) compared to private sector (how should support and furlough work).
Another debate goes to some hard truths, present in frameworks but super-charged; for example we recognise that the death of someone in their 80s is different from their 60s or 40s (in the UK this is in the QALY framework for the NHS) but how do we use this differential?
The other debate is less for columnists or opinion writers but just as important - how much better can we make Test-Trace-Isolate? What are the easy wins operationally here? These are details, details and details but really important.
As followers will know, I know that tweeting about making operational improvements to TTI is easy - actually getting it to work is far harder.

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More from @ewanbirney

1 Nov
It is somewhat hard to know which strand on England's November lockdown to pick apart - a large number of people in the press (and twitter) are commenting ("hot takes" in the US parlance) - most heat and not so much light.
Yesterday, before the announcement, I tweeted on this here:
Read 17 tweets
1 Nov
Can we have a ban of the use the definite article “the” with science ? Unpack to at least one level to be clear “we need to heed the dire warnings of the coronavirus infection modellers” or “we cannot ignore the impact of change in weather patterns”
“The science” implies certainty when science rarely has it (but parts of science can have high confidence - lack of complete certainty does *not* mean no very confident view) and it often socially placed science as an actor in other societal debates
Ie, rather than societal debates accepting shared facts +understanding, poking and asking questions of the science, some people think of science being allied with their point of view, often spilling over from the “understanding the world” bit to the “and so what do we do” bit
Read 6 tweets
31 Oct
An explainer thread (often I feel I am pitching these to journalists as much as anyone else) on COVID this month.
Context: I am an expert in one area (human genetics) with battlescars in complex data flow+analysis; I know experts in most other areas and aim to be curious about their viewpoints; I have a clear conflict of interest in that I am consultant to ONT, which makes a new COVID test
Again, worth reminding people of the overall situation; SARS_CoV_2 is an infectious virus which causes a nasty, often lethal, disease in a subset of people. It is now across the world.
Read 29 tweets
30 Oct
Coronavirus and the options for the UK government (or more accurately, each of the 4 component parts of the UK) are pretty bleak, but one good thing has been the steady increase in testing capacity (480K; 347K used) and now improvement in turn around time (more done in 48 hours)
Personally I think more can be done at the local level between "Pillar 1" (NHS) and "Pillar 2" (community testing) to help get even deeper+faster testing, but of course testing by itself doesn't solve the issues; one needs effective isolation support as well.
All this doesn't change the fact that there are a very large number of active infections across the UK, and these inevitably lead to hospitalisations, nasty disease and for older people, often death. We need to push down this infection level harder for this to be sustainable.
Read 6 tweets
30 Oct
Yesterday I used the phrase "uptick in cases" about the REACT study - some people drew comfort here (upticks are small); other people were horrified I was giving false comfort. To be clear - the REACT study shows strong growth of Coronavirus infections in nearly all of England
I am definitely someone who has an optimism bias - it serves me well in many scenarios in science and life - and in this pandemic it is justified **in the mid to long term** : BUT *not* in the short term. Optimism biased people like me are not good decision makers in a pandemic
(we might be good data analysts; we might be good communicators; we might be good technologists in getting out of this; but optimism is a curse in the management of pandemics. I find the cross current on this really hard - the mindset that has served me well is not good here).
Read 16 tweets
29 Oct
Done a genetics, statistics, CS, image analysis or physics PhD? Want to do a postdoc? Love biology and genetics? Want to understand the limit of genetics, using genetics? Want to work internationally in UK, Germany and Japan? This postdoc is for you: embl.de/jobs/searchjob…
You will be based @emblebi which is part of the international treaty organisation @embl. This is a European science organisation; you will live in the UK but can come from any country worldwide. We work in an @ERC_Research funded synergy grant with @WittbrodtLab on Medaka fish
Medaka fish are japanese rice paddy fish, and we work closely with @Naruse_kiyoshi from NIBB in Nagoya Japan. Medaka are unique in vertebrates in that there is a protocol to inbreed individuals from the wild which is successful in around 1 in 2 attempts.
Read 14 tweets

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