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
Let’s just focus on the 71% for a second, and assume (wrongly) that the other 29% haven’t had their risk reduced at all. Now for every 9 people hospitalised from that 29%, we’re seeing 1 person hospitalised from the 71%. So the relative risk is (1/71)/(9/29) = 4.5%. 4/n
So that means the vaccine is reducing the risk of hospitalisation by over 95%. Wow. But we ignored the effect of 1st doses, which will also be reducing the risk of hospitalisation to some extent – let’s assume that is ~80% reduction, consistent with previous PHE/PHS data. 5/n
This means that instead of the 9 patients without 2nd doses being split roughly as 7 with a first dose and 2 with no vaccine (which is what you’d expect if 1st doses had no effect), they will more likely be split roughly 3.5 with a first dose, and 5.5 with no vaccine. 6/n
(I should pause here to note here my sincere apologies to the patient that we just split in half). 7/n
But now we can recalculate our relative risk for second doses, comparing them to just those with no vaccine at all, and it works out to (1/71)/(5.5/7)= 1.8%. So a better estimate is that 2 doses of vaccine reduces risk of hospitalisation by 98%. 8/n
That’s not even the end. If some of the people in hospital only got their second dose in the last week or two, they may not have been fully protected. Which means that the observed risk reduction will be an under-estimate of the full effect, a few weeks after 2nd dose. 9/n
But hey, 98% protection against hospitalisation is still pretty good, I think we’d take that result. 10/end
@BristOliver @PaulMainwood @AdamJKucharski you might like this one

• • •

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

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
22 May
for those of you too distracted by Eurovision to read the PHE's technical briefings, here's a quick summary thread. first, the bad news:
1) as per press reports earlier today, B.1.617.2 appears to have a moderate degree of vaccine 'escape' particularly after 1 dose 1/n
2) looking at secondary attack rates, B.1.617.2 appears to have a transmission gain of around 50-60%; some of this will be due to the vaccine escape, but as I noted earlier, that's not enough to explain 50-60%, so there's probably an uplift in R0 also 2/n
but there's also quite a bit of good news, some obvious and some less so:
1) the vaccine escape is much smaller after 2 doses than after 1 (so once we're fully vaxxed, much less of an issue)
2) there's no sign yet of large numbers of re-infections, suggesting that immunity.. 3/n
Read 7 tweets
22 May
having played around with some numbers, I think it is plausible that a moderate immunity escape by B.1.617.2 (as per JBM thread) could account for a ~15-30% apparent gain in transmissibility for the new variant, given the UK's current distribution of immunity.
some workings for those following at home: I'm assuming (rough numbers, allowing for lags) we have about 35% of total population with an effective 2nd dose, and another 25% with an effective 1st dose. and about 30% of the unvaxxed will have a prior infection.
I'm then applying transmission reduction factors of 80% for a first dose, 90% for 2 doses, and 85% for a prior infection. note these factors include the VE vs. infection, with an assumed 40-60% reduction in transmissibility of breakthrough infections (more after 2nd dose).
Read 8 tweets
16 May
My summary thoughts on B.1.617.2:
1. The data on increased transmissibility is concerning, but it’s good that a significant vaccine escape looks unlikely
2. My model suggests that we can probably still exit with only a small wave if we’re prepared to extend baseline controls,
… and vaccinate teenagers in July.
3. We need to keep watching the data closely, and be prepared to take further action, but at present I don’t see a compelling case to alter the roadmap.
A long thread follows, with model graphs to illustrate the various scenarios/actions.
Sadly I’m as confused as everyone about the data on transmissibility – but after playing around with some regression analyses, I have no reason to doubt the SAGE conclusion that a ~50% increase in transmission is a “realistic possibility”. 3/
assets.publishing.service.gov.uk/government/upl…
Read 42 tweets
9 May
HI thread Mark II: after I tweeted last week about Herd Immunity (HI), quite a lot of people got in touch to point out that my model was either over-estimating or under-estimating the HI threshold, because it treated people as all being the same. 1/n
And the thing is, they’re right, in both directions. Differences between groups of people, and between individuals within those groups (so-called “heterogeneity”), make it likely that I’m over-estimating the effect of vaccines, and under-estimating the effect of infections. 2/n
Let’s see if we can correct for both of these effects, or at least estimate how wrong I might be. We’ll start with the age group effect on vaccines, because that’s easier to sort out. The problem here, as @AdamJKucharski noted in his reply, 3/n
Read 33 tweets
1 May
A thread on herd immunity. In summary:
- We’re not there yet
- Full herd immunity will probably arrive in late June, once we’ve vaxed all 18+
- From early June we’ll likely be in a partial-HI state where R will stay <1 with just baseline controls and cautious behaviour. 1/n
There’s been a lot of wild claims about herd immunity in recent weeks, varying from “we’re already there” (fil.ion.ucl.ac.uk/spm/covid-19/f…) to “it’s impossible” (nature.com/articles/d4158…). Both are demonstrably wrong, and new data this week (from ONS and PHE) makes this clear. 2/n
First, the ONS-based analysis (ox.ac.uk/news/2021-04-2… ) showed us that a single dose of either AZ or Pfizer reduces covid infections by 65%. (and after 2 doses by 70%, although that’s probably an underestimate). 3/n
Read 22 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!

:(