Was going to do the J&J news later, as it's actually the same info I presented yesterday, but need to correct some mistakes about it that are going around Twitter already.

Most importantly, J&J did *not* report its vaccine is 85% effective on Delta.

jnj.com/positive-new-d…
The press release was a bit confusing. In the section on Delta, it says "in the ENSEMBLE trial, Johnson & Johnson’s single-dose COVID-19 vaccine was 85 percent effective against severe/critical disease and demonstrated protection against hospitalization and death."
You might think that some trial demonstrated 85% efficacy against Delta, but that's not correct actually. ENSEMBLE was the trial finished in January that showed 85% efficacy against severe disease, back when Beta and Zeta were going around. That's mentioned in the next sentence.
What did happen is that J&J drew blood from 8 people from the completed ENSEMBLE trial, and tested their antibodies for neutralization of Delta virus. Those antibodies and T cells worked better on Delta than Beta. That's the new result.
This is the same info I discussed yesterday. Basically neutralization by J&J-elicited antibodies is better on Delta than on Beta. This is good news; I had expected the neutralization to be similar.

The interesting thing we knew the J&J vaccine is that it gave the same result essentially on ancestral, Alpha, and Beta strains despite varying ability of antibodies raised against ancestral spike protein to recognize Alpha and Beta spike proteins.
That is, in people, efficacy was 64-72% vs moderate-severe disease and 82-86% vs severe disease across the 3 strains, even though antibody neutralization strength varied >4x. As Ab levels are not so high with this vax anyway, it's likely T cells provide most of the protection.
Yesterday I guessed that since vaccine-evoked Ab activity on Delta is in between ancestral and Beta, that predicted efficacy in people would be as well. So that puts predicted efficacy within that tiny range of 64-72% symptomatic 82-86% severe.
There is one caveat which I mentioned elsewhere. The in vitro assays where Delta did better than Beta use normalized amounts of virus, but it's believed Delta can bind to and enter cells more quickly, and thus can build up to higher levels.
nytimes.com/2021/06/12/wor…
The higher levels of Delta in the body wasn't seen with previous variants, so whether that impacts vaccine efficacy in people (as in the petri dish) is still unknown.
Another thing to keep in mind is that the way we measure vaccines is always relative to unvaccinated. That means a strain can create objectively worse outcomes by making both vaxxed and unvaxxed sicker, without affecting a vaccine's relative efficacy.
Now Delta nearly doubles the chance of getting ill in unvaxxed people (because R0 seems to be doubled vs ancestral strain). Delta could then actually double the chance of a vaxxed person getting sick without changing a measured vaccine efficacy number.
So if we still take 64-72% as the likely efficacy of J&J vaccine for symptomatic disease, but we also realize Delta is twice as contagious as before, we might still be concerned about the ability of vaccinated people to get sick and pass the disease on to close contacts.
Biorxiv paper up, h/t to @Eric_T1990
biorxiv.org/content/10.110…
Also relevant is this preprint from June 22, describing Delta transmission chains in HCWs who received the AZ vaccine. Delta replicated to 4x higher nasopharyngeal levels than prior variants, and breakthrough clusters were larger.

researchsquare.com/article/rs-637…

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More from @michaelzlin

2 Jul
OK! Finally found data on breakthrough cases by each vaccine type. Includes hospitalizations and deaths too. Numbers currently too small to make any conclusions, but worth keeping an eye on this space, especially those curious about J&J efficacy:
oklahoma.gov/covid19/newsro…
Yes these Oklahoma Health Dept reports are excellent. Here's the # of breakthrough cases up to last week by manufacturer. I ran some Fisher's exact tests. The difference between J&J and Moderna case numbers comes up stat sig. Nothing else does (small #'s means low stat power) Image
If we get more #'s, we can run more stat tests to see if any of these differences become statistically significant (not more than 5% probability of being due to chance). But even better would be if we can find numbers from more populous states. Please help look if you have time!
Read 7 tweets
2 Jul
Some observations from the UK:
• Vaccines provide ~95% protection against death from Delta
• Deaths in vaccinees are in older people with preexisting conditions

Numbers as we expect for AZ and RNA vax, as is breakthrough severity risk factors

msn.com/en-us/health/m…
J&J is still expected to be a bit less efficacious. So rather than conclude everything's ok and that's the best we can do, I take it as certain people can use a booster if they are high-risk
We can do a back-of-envelope calculation for the expected impact. We’re predicted to get 30M cases, 1M hospitalizations, and 100k deaths in the next wave among unvaxxed. If our vaccines are 90/95/95% effective on these measures, and half of people are vaccinated, then...
Read 6 tweets
2 Jul
The US at large is now in positive growth for COVID-19 cases, as are exactly 25 states. This reverses a trend of decreasing cases in most states until last month. I'd love for the "no surge" prediction to be true, but it's looking like math is winning over wishful thinking again.
Sorry, 24 states. I do know DC, Guam, and USVI are not states, just tallied wrong
Read 4 tweets
1 Jul
Some quick thoughts on long COVID.

First, the issue has the attention of the medical community. But some people will inevitably stake out the extreme positions of everything reported is real and nothing is real, so expect a lot of debate. See below.
nejm.org/doi/full/10.10…
A challenging and herculean task for the next year will be to organize rigorous studies to determine which symptoms occur above control levels. Probably some central efforts at NIH, others by university researchers via grant submissions, others carried out by hospital systems.
At the same time there is the task of figuring out which tests are useful. So there will be a lot of case studies, which will in turn spur even more studies on the diagnostics, which will help set the conditions for more studies. There are probably multiple pathologies involved.
Read 5 tweets
1 Jul
RNA-vaxxed have 91% lower risk of getting sick with COVID19, and when they do get it, they have 40% lower peak viral titers and the course of disease is reduced from 9 to 3 days. That makes about a 80% reduction in viral emissions per illness, if emissions are linear with titer.
In reality the nonvaccinated probably remove themselves from socialization when they reach peak symptoms at around day 4, so relative transmission by vaxxed vs unvaxxed per illness might only be ~60%. So risk of onward transmission probably not that different practically.
The big difference remains the 91% lower risk of getting a detectable infection in the first place. The 91% protection was averaged across many people in many situations, but it's << 91% if you are in a room with a sick person generating Delta aerosols.
Read 9 tweets
1 Jul
Just don't get it. Why is a 2-week lag between cases and hospitalizations so hard for some people (MDs no less) to understand? We've only been studying that every day for the last 15 months.

To be specific: Israel wave lagging UK wave by ~2 weeks. Too early for champagne.
The original image (chart labels were cropped away in the above screenshots). I mean I've got the bubbly chilling like everyone else, but I don't see anything to celebrate here.
Yeah, cases triple May 24 to June 14. Hospitalizations triple June 7 to June 28. "It's different this time."
Read 4 tweets

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