I think the age dynamics of the current case growth are interesting, particularly as they have shifted in the last week or two. Growth is now very clearly dominated by the 20-30s, while growth in school-age children has tailed off: 1/6
If we look more closely e.g. at 5-9 year olds, we can see that tailing off of growth. I’m not 100% sure why this has happened, it seems slightly early for a half term effect, so maybe local PH efforts and bubble closures are having an impact? &/or parents being vaxxed?? 2/6
Meanwhile the growth in 20-24s is pretty dramatic, doubling in just under a week, and now back to levels not seen since February: 3/6
Of course, if the growth stays in those younger age groups, and the “vaccine wall” remains intact to stop it spreading upwards, we should be OK (and will see little impact on hospitalisations and death stats). So, how is that wall looking? 4/6
Well, OK-ish, but a bit porous. There’s some moderate growth in the (mostly single-vaxxed) 35-60s, and lower growth in the (mostly double-vaxxed) over-60s. That’s consistent with what we know about the immunity escape on Delta (i.e. more escape for 1 dose than 2). 5/6
So what we need now is for first-dose vaccinations to pull down the growth in 20-35s (and stop them infecting others) while second doses keep a lid on what’s happening in the 40-60s who still have a moderate risk of hospitalisation. It’s doable, but the timing is critical. /end
should have said:
a) this is data from the gov.uk dashboard, using the femaleCases and maleCases series for England.
b) the data for 85+/90+ is quite noisy as based on very small case numbers (good news!) so the growth rate there is nothing to worry about.

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with James Ward

James Ward Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @JamesWard73

7 Jun
Model update klaxon!! I’ve spent a while this weekend refitting my model to current data and trends, and as a result I’ve changed my mind on at least 3 things – and also got closer to a policy recommendation for Step 4 re-opening scheduled for 21st June. Thread follows: 1/n
First to note a few assumptions:
-Baseline controls and cautious behaviour (e.g. continued WFH) are assumed to continue after 21st June, until the end of 2021, and to reduce R by ~25%
-I’ve adjusted my vaccination schedules to more precisely match current supply estimates 2/n
– with thanks as always to @PaulMainwood for his insights on this.
-In particular, now that we have MHRA approval for 12-15 year olds to receive Pfizer, I’ve assumed that 12-17s get their first doses in September (& second doses in November) 3/n
Read 31 tweets
4 Jun
A few thoughts on yesterday’s PHE data: overall, the report is a bit of a mixed bag. Of the three significant bits of news, one is positive, one negative, and the other neutral. But you might not get that impression from the reaction here on Twitter or in the media. 1/n
Let’s take the negative first: we now have data suggesting that the new variant (Delta) is more likely to lead to people being admitted to hospital – perhaps 2.5 times more likely than when infected with the old Alpha variant. 2/n
That’s clearly bad news, and will have an impact on model projections for Step 4. But it’s not necessarily a complete disaster: if we can control the spread of the virus, then it doesn’t matter what the hospitalisation ratio is, because very few people will be catching it. 3/n
Read 21 tweets
2 Jun
Some thoughts on where we are, in the form of a “zigzag” thread where I offer alternating good and bad news, and end on a question mark. Let’s start with some bad news: 1/11
This morning’s threads from @alexselby1770 and @TWenseleers, as well as last week's PHE data on secondary attack rates , are all pointing towards ~70% higher transmission for the Delta variant (B.1.617.2) vs Alpha (B.1.1.7) 2/11

BUT (good news) my previous analysis showed 55-60% higher R0 wasn’t a disaster, and could be kept under control with a combination of baseline controls and cautious behaviour (eg. continued WFH). A quick model run suggests 70% isn't very different. 3/11
Read 11 tweets
1 Jun
I’ve been away for a few days, and have come back today with a fresh eye. A couple of observations:
1. What was a handful of hotspots before, now looks like more broadly-based growth
2. Whereas growth last week was led by the u20s, it’s now the 20-30s leading the way. 1/5
To evidence the latter, look at the growth rates by age category last week: 2/5
And now this week: 3/5
Read 5 tweets
27 May
It’s even better than that: it’s brilliant news. By my calcs, Hancock’s statistic (10% of people in hospital have had 2 doses of vaccine) implies the vaccine is having at least a 95% protective effect – and probably more like 98%, or maybe even higher. Let me explain… 1/n
To start with, we have to recognise that for this calculation, not all people are equal – some have more hospitalisation risk than others. So vaxxing those people will have more of an effect. Fortunately, we have targeted our vaccines on those with highest risk. 2/n
By applying some broad weighting factors to different JCVI categories, I can estimate that c. 71% of the (pre-vaccine) hospitalisation risk is in people who have now had a second dose of the vaccine, and a further 22% is in people who have had a first dose. 3/n
Read 11 tweets
23 May
When I tweeted my initial reaction to the PHE data release last night, I promised you some model scenarios to help understand the impact of B.1.617.2 on the roadmap, and in particular whether opening up on 21st June still looked possible. 1/
I’ve done some analysis, and I’ll warn you in advance it’s a bit of a mixed bag: at the more optimistic end of assumptions, things look not too bad. But at the more pessimistic end, we’re back to facing a mid-sized exit wave, which calls the timing of Step 4 into question. 2/
Before that, a quick word on assumptions: while the PHE data last night was very helpful, it still leaves quite a lot of questions unanswered, and some of the data is confusing, or appears to contradict things we thought we knew. See for example: 3/
Read 31 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!

:(