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.
We know a lot about the virus since January. We know its sequence and can design tests; we know many aspects of its infection dynamics (it is not the best virus; it infects in a bursty way); we know aspects of what makes people at risk of the disease (age, sex, obesity).
If we left the virus to move unchecked through the population a large number of people would die in a short period of time, many of them with plenty of natural life ahead of them + many people would get a long term disease (we know less about this follow on disease, "LongCOVID")
Further this rate of disease burden would swamp modern healthcare systems; the modern healthcare systems would be forced to make horrific choices of who lives or dies. Even if one was rational about it, it would be horrible.
Like all Coronaviruses, it looks like this virus' infectivity has risen in the autumn and winter in Europe. Many factors could drive this - straightforward temperature, or the increased clustering of people indoors, out of rain etc. All of Europe has seen a strong growth in cases
(because of the deeper testing across Europe, we can see this far more clearly than the equivalent time of infection rise in Feb. One important thing to remember is not to compare *case* numbers Spring to Autumn; comparing hospitalisations or deaths is valid).
Because of our understanding, testing, mask wearing, avoidance of risky situations, isolation and tracing the rise in infections is certainly less than in Spring - however, it is still steadily rising.
In the UK context this is best shown in the unbiased population samples of ONS and REACT; similar assessments happen in other European countries; hospitalisation levels is another unbiased marker for this.
This slow rate of rise is good, but frustratingly we need to have in shrink + be suppressed (* this is broadly a tactic not a strategy - see below). We've improved many things, but not enough. This is why more restrictions - non pharmaceutical interventions - NPIs are happening
Now a little sidebar on NPIs. I think having a crude on/off view of "lockdown" vs "no lockdown" is mistaking a huge amount of complexity. For example, it is clear that schools should be kept open. Because of the way broad NPIs effect lives, life and livelihoods this is complex
NPIs are not for free in any of these aspects, and one does need to think this through. One criticism of the current epidemic is we view this too much as a tension between "Health" and "Wealth" and not a joint "overall wealth".
We have the frameworks to make this weighing - Welfare Economics from the economics side; QALYs including "societal" or "life" QALYs from the healthside. We should use these frameworks more.
However, no matter the framework we have to impose more NPIs in many countries because once there is a high level of infections two main things happen and then there is one additional consideration
(1) we really will fill up healthcare capacity at a predictable rate. Just waiting for that point of filling up is crazy - (a) it is virtually impossible to "tune" epidemic to have some constant rate. Epidemics either grow or shrink. (b) you will have to make this decision.
(2) Certain things, most notably "trace" work more effectively at low infection levels. R is the growth parameter, not the infection level. So an R around 1 but low infection levels is reasonable. R around 1 with high levels is very much not reasonable.
The other additional consideration is that one has to think about things getting worse. Because of the lag in the system of making a NPI change to that impact hospitalisation rates (its at least a month) one has to have *additional* capacity present in the system for worse case.
Now - as I mentioned (and I can feel some of my colleagues metaphorically shooting daggers at me in this thread) suppression is not a strategy by itself - we need an exit.
There are two levels of exit. One level of exit is this upping of NPIs might well be able to be relaxed when more efficiencies come into TTI. Remember one efficiency is natural (lower infection levels, better Trace efficiency)
More can be done. This is all operational stuff and really about lots and lots of details. Beware anyone thinking this is simple; also beware the statement that TTI has failed in the UK - parts of it have worked well, parts less well and it is a hard task to suppress
One external way of viewing this is that one of the best in class in Europe TTI - Germany - has also had its capacity broached. We are, across Europe, going to have to up our collective game.
Can more be done - yes. Will it be enough? In many ways we will trade off broad NPIs for better TTI in the mid-term. We need TTI the best it can be.
Even this is not the full story - that goes to vaccines. There is a veritable wall of vaccine Phase III trials, some that will almost certainly report this year. Keep your fingers crossed (I do - I am on one of these trials!)
Early successful vaccines will not be a fairy tale ending. They might not work so well; there is a depressing and bleak possibility that *none* of them work (but there are an awful lot of them). They might work well but even then just logistics will make it complex.
My view is that early vaccines will be much like broad NPIs, but ones one can administer in a single shot, and, when appropriate target to risk groups - they are sort of "super" risk adjusted NPIs
As such, again, we can relax other NPIs, keep our TTI levels working as high as vaccines come in. As more diverse vaccines come in, we can use combinations (either disjointly across the populations or jointly with extreme care on safety)
Hopefully then the next thing on the horizon is Spring, and genuinely coronavirus infection levels dropping, and then we have to prepare for autumn 2021 with even more tools (vaccines and hopefully more therapeutics).
The final strategy is therefore this becomes likely another circulating coronavirus; perhaps one we will all need vaccination from regularly in older age.
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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.
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:
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
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.
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).
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