Some more Coronastatistics

In a response to my post yesterday, my friend Jonathan pointed me at this excellent article by Tomas Pueyo. It’s long, and I’m not, of course able to check many of his numbers, and there are some places where he has to make estimates and assumptions, and rely on official Chinese figures more than some would think appropriate. But you should read it none the less; the basic model is very useful. I mention some highlights below.

My question yesterday was about when the virus-based health risk of travelling to an event in the UK would actually become more serious than the risks involved in the road travel to get there. Italy has passed that point (and their road-death statistics are much worse than ours!) My own guess while writing was that it would probably be about two or three weeks here, and it hadn’t escaped me that confirmed cases are a week or two behind the dates when those people actually contracted the virus, so probably the real answer was that coronavirus would be more dangerous than driving in the UK in about a week’s time (using my very crude metric). Others have pointed out that the stats suggest that we’re not that far behind Italy, so coronavirus may already be more dangerous than driving.

What I hadn’t fully appreciated, and this is the thrust of the article, was just how effective a lock-down can be. A key graphic is this one:

(Click for a full-size version)

The orange bars show diagnosed cases. The grey bars show when infection must actually have happened; something you can only deduce with hindsight, because it takes a couple of weeks. At the time Wuhan went into lock-down, they had 444 reported cases. There were probably about 12,000 actual cases at the time waiting to appear. And if we believe the official figures, the growth stopped pretty instantly once they imposed a lock-down; the kind of lock-down that perhaps only an authoritarian regime can effectively implement.

At the time, of course, this wouldn’t have been clear; the number of reported cases would have gone on rising for another 10 days or so.

Pueyo then goes on to demonstrate the effect of delaying this kind of lock-down by one day — the very significant impact it can have on the number of cases that actually appear.

This in turn affects the ability of healthcare systems to cope, which then affects the mortality rate, and so once you pass a certain threshold, the impact of each day’s delay is amplified more than you might expect. He posts this graphic by Alexander Radtke – I’ve seen similar ones online recently:

You’ll note that this graph is purely an illustration of a concept without any real data, but it’s a useful one. What’s good about Pueyo’s analysis in general, though, is that he’s trying hard to use real numbers wherever he can. He may be right, he may be wrong, and in particular his analysis may be more or less relevant to the particular situation in the UK, but it’s worth taking seriously.

So, today’s update:

  • Coronavirus in the UK will very soon — probably in a few days — be more dangerous than driving. Maybe even more dangerous than Italian driving. But still not a cause for panic.

However,

  • We’ll know in a couple of weeks just how dangerous it is today.
  • By then it will be a lot more dangerous.
  • Waiting to find that out is the best possible way to ensure that it will be even worse!
  • We’re at the point where each day is very significant.

Therefore:

  • Actions like panic-buying of loo rolls are not a rational response to something that is currently much less dangerous than the drive to the supermarket.
  • Actions like locking down the entire country to restrict movement as much as possible may actually be a perfectly rational response to the same thing.

Fascinating stuff.

Now, here’s my next question:

You may remember the analysis a few years ago that showed that more people died after the 9/11 attacks than during them. This was because so many people were scared of flying in the following days and weeks that they drove long distances instead. Driving is so much more dangerous than air travel that the resulting death toll was higher than that on the day itself.

Now, one result of coronavirus lock-down, I hope and expect, will be that a lot more people will discover the practicality and benefits of working from home. (I’ve been doing it half-time for many years, using long Skype calls to keep in touch with my colleagues, some of whom are only a few miles away.)

If this continues on any scale after the virus threat has receded, how long will it be before the number of lives saved by the reduction in mileage and air pollution outweighs the lives lost in the epidemic?

Update: please read the comments below as well!

6 Comments

Thanks for this post. I agree that the linked article has a lot of useful information. However, I would note that the author’s analysis of the specific chart you cite has some problems. Most importantly, that chart is directly from a JAMA article that indicates it only used data collected through February 11th. Which means that the gray bars go down not only because of the lockdown, but also because real cases that were only identified after February 11th don’t appear on that chart. In actuality, the lockdown took a few more weeks to achieve the results claimed by the author (as one can see by looking up the China stats since February 11th). Overall, the article’s point still stands, but I might take some of the analysis with a grain of salt. (Also because apparently the author is the VP for Growth for Course Hero, an online ed company that might profit from long-term lockdowns. I still think the article has merit, but the fact the author didn’t disclose that connection is concerning.)

    Thanks John – useful info.

    So the lockdown isn’t necessarily the fast-acting silver bullet that the article would suggest, and a single day’s delay may not have quite such a dramatic impact.

    On the other hand, that’s also an argument for starting it even sooner, I guess.

On the subject of panic buying loo rolls. I think people trying to make sure they have enough is rational and it looks irrational because it’s hard to know how much loo roll is enough.

I don’t imagine most people keep close track of how much loo roll they buy normally, because of its bulk people will tend to keep smaller amounts in their houses. It’s hard to estimate how many sheets one uses and harder still to estimate how many other members of the household use. The number of sheets in a roll isn’t an easy figure to come by. Add to that the uncertainty about the length of a lock down, quarantine, self-isolation period and it becomes a lot easier (and cheaper if you value your time) to just buy twice as much as you would normally.

In discussions around brexit we’ve heard about how supply chains are just-in-time. Shops don’t carry excess stock that they can’t sell, perhaps even more so of something bulky that takes a lot of shelf space.

This bulk also makes it more visible when the shelves are emptier than normal than rice for example. Also it’s a lot easier, while walking around in a supermarket, to notice a trolley with a slightly larger than normal amount of toilet paper than an extra bag of rice.

I’ve seen a few videos online of people appearing to panic buy large amounts of loo roll but at least some of these are in large wholesale stores where the only amount you can buy is a large amount and in an area of the shop that is dedicated to loo roll. I could make a video of our local Tesco with loo roll on shelves and people occasionally buying the odd four-pack, but it wouldn’t go viral.

I believe that

the level of panic buying of toilet paper is lower than it might appear,
buying a small amount extra (of toilet paper and other stuff you normally buy) to see you through a lock-down of indeterminate length is rational and sensible. Further, people prepared to self isolate in this way aren’t going to be infecting other people doing last minute shopping,
for loo roll specifically it’s possible some panic spread because of the visibility of buying it

    Yes, I was pretty conscious of my appearance a few days ago, when pushing a trolley with an enormous pack through the checkout! We just happened to have run out, and are fortunate enough to have space to store the 18-roll pack. 🙂

    As you point out, a photo or video with an appropriate title could have given a good spin to my purchase…

Aside from John McKay’s caveats, I find the conclusions about the trigger for flipping from a mortality rate of ~1% to >5% disconcerting as it conflicts with the statements from the epidemic modellers that keep popping up in the media. I had been wondering how the models were calibrated for the trade off between early vs late interventions, which seem to turn on how fed up the populace gets about unnecessary constraints and how that leads to a breakdown of the discipline.

This piece makes the modelling challenge even more obvious. I do wonder if the modelling advice is robust, given the opportunity to stiffen the populace’ resolve as/when other countries’ health services collapse under the strain of too much acute respiratory disease.

You can stop using loo roll completely by installing a Douche Shower Toilet Spray!

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