Today we got @PHE_uk’s latest weekly surveillance report which provides their age-stratified hospital admissions data. I can use this to extend my analysis of the hospitalisation ratio, as follows:
This shows that in the most recent week (admissions in 21-27 June), the ratio has dropped further, to around 1.5%. I can also extend my “fixed age mix” curve, in orange (see thread below for explanation of this) – which has dropped by a similar amount.
This implies that the most recent drop is “real” i.e. it’s caused by falls in hospitalisation ratios *within* each age group, not by changes in the age mix of cases. We can see this if we look at the hospitalisation ratios for each age group, as per the chart below:
Here there are noticeable drops for the 65-74 and 75-84 age groups. And if we zoom in on the younger age categories, we can see similar patterns in the 25-44, 45-54 and 55-64 groups as well:
It’s an interesting question as to what is causing the continued fall. An easy answer is “benefit of vaccines”, and that’s certainly a plausible part of the story in the younger groups – but perhaps less so in the older ones where 2nd doses were given a while back.
(although maybe we’re seeing, once again, that AZ works on a slow burn). Other effects that could be contributing are changes in case ascertainment (e.g. from more testing), and mix effects within age groups or driven by other factors. Other suggestions very welcome.
It’s also interesting to speculate on where the ratio will go from here. Personally I’d be surprised if it falls much further (e.g. to 1% or below) as we’ve already seen a lot of benefit from vaccines, partially offset by delta, and I can’t see what will drive it even lower.
More likely in my view is that it stabilises around this level, and then starts to drift back upwards gently (as age mix effects unwind to some extent, due to vaccinating younger groups). If that’s the case then we should see admissions growth pick up,
…becoming more closely linked to the growth rate in reported cases. And there is just the hint of this starting to happen in the latest admissions data for England, superbly analysed as usual by @BristOliver here:
The growth in admissions is not good news, but if the ratio stabilises then it does at least mean we can forecast the impact of this wave with a bit more confidence. Then all we need is an explanation for why R is stubbornly high, and normal modelling service can resume. /end

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More from @JamesWard73

2 Jul
I know the cases and admissions data looks bad again today, but I’m going to stick my neck out and say: I think we might have passed the current peak of growth rates, and so R could be about to head down again. Here’s the recent growth trends in the 30-60 year olds: 1/ Image
And here’s the same graph for the 0-30s: 2/ Image
The trends in the older age groups (60-90) are less good – but *if* we think a lot of these cases are direct infections from younger people, then we’d expect these curves to follow the shape of the younger groups, just a bit behind. So if those come down, these should too. 3/ Image
Read 4 tweets
30 Jun
@ThatRyanChap @declamare @whippletom I know you didn’t really ask for this, but I had to go back and check my intuition – and luckily, it’s not wrong. But the exercise was useful because it exposes a couple of interesting dynamics – and helped me understand why we can’t see the impact of delta on hospitalisations.
@ThatRyanChap @declamare @whippletom So here goes: imagine that pre-vaccine we have a population with 1000 cases per day, and 100 hospital admissions per day. So a hospitalisation ratio of 10%. Now let’s suppose that we administer 1 dose of a vaccine that stops 25% of infections, and 80% of hospitalisations
@ThatRyanChap @declamare @whippletom Now we’ll have 750 cases and 20 hospitalisations per day, for a ratio of 2.7%. And let’s apply the second dose, which stops 80% of cases and 95% of hospitalisations. So we’ll have 200 cases and 5 hospitalisations, for a ratio of 2.5%.
Read 14 tweets
30 Jun
Obviously today’s case data is horrible again, and admissions look like they might be picking up. But there is a small piece of hidden good news: we might be at or near the peak of growth rates. And some bad news in the older age groups (sorry). Details in thread below... 1/7
The good news is that growth rates in the under-60s look like they may have stopped growing. Here are the under-30s: as you can see, only the preschool kids (0-4s) still have a rising growth rate, with other age groups looking flat or even with slightly falling growth. 2/n
And here are the 30-60s, with an even clearer pattern. This might seem like small comfort: after all, growth isn’t yet falling, let alone cases. But if a zero second derivative is the best thing available, I’ll celebrate that – and it’s better than the alternative. 3/7
Read 7 tweets
29 Jun
I’m not going to comment on today’s case data, because the message hasn't changed, and I don’t want to spoil an otherwise positive evening. But case data only really matters if it causes bad medical outcomes, and here the news may be a bit better. 1/n
The ratio of hospitalisations to cases has been dropping over the last few months – mostly due to vaccines. (the main effect of vaccines is to stop people getting infected, but for those who do get infected, they also reduce the chances of going to hospital or dying). 2/n
[note: to calculate this ratio, we need to compare hospitalisations to cases a few days earlier, and there’s some debate as to how long a lag to use. I’ve used lags from this recent ONS study ons.gov.uk/releases/coron…, but I get similar results with different assumptions] 3/n
Read 19 tweets
28 Jun
I’m honestly not liking this case data much at all. While the modeller in me is happy that the growth rates in different age groups are, for once, moving consistently in the same direction, I just wish that direction wasn’t up. 1/6 Image
Looking in a bit more detail, we can see growth continuing to accelerate in school-age children (5-14s)… 2/6 Image
And the young adults (15-29) are starting to accelerate (gently) again, after a period of consistent growth 3/6 Image
Read 6 tweets
27 Jun
So R is staying stubbornly high in England, and maybe even drifting upwards. Why is this? I’m not really sure, but as usual I think the age-stratified case data is the first place to look for clues. And the changing growth probably isn’t quite where you’d expect it to be. 1/7
Your first suspects might be unvaccinated young adults, out partying and watching the football? Well, their case rates continue to be high and growing, but R seems to have settled down to a new level around 1.3, so it’s not them that’s caused any recent uplift in R. 2/7
Your next suspects might be schoolchildren – we know they spiked up about a week ago, and again growth continues, but there isn’t strong acceleration (although maybe a bit in the 10-14s). Still, there could be a mix effect happening here: 3/7
Read 7 tweets

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