The big COVID news, dropped on a Fri afternoon:
"effectiveness vs COVID-19 hospitalization was higher for Moderna than Pfizer (and Janssen/J&J)."

bit.ly/3kjuoFR

But let's take a look at the analysis before accepting these results at face value...
1. Here are the data - on the surface, looks like Moderna effectiveness is constant at 92-93% after 120 days, Pfizer drops from 91% to 77%.

(btw, this was CDC not Pfizer funded, but what a great strategy for Pfizer - push "waning immunity" so people need a 3rd dose of your vax)
2. But note that the comparison group for all of these is the same - difference b/w numerator & denominator is always 1463 cases & 899 controls.

Meaning that people w Moderna & Pfizer (& J&J) are being compared to the same unvax'd folks.
3. Two implications. First, sample size.

Since unvax'd people are the same, relative effectiveness comes down to # of vax'd cases.

Comparing <120d vs >120d, Moderna had 36 vs 18, Pfizer 65 vs 63.

If 9 people w Moderna got sick >120d instead of <120d, conclusions change.
4. Second, geographic region.

43% of Pfizer given in South, 26% of Moderna.

If exposure levels were higher in the South (likely), and vax is less effective vs intense exposure, Pfizer looks worse.

Results were adjusted for region, but wouldn't remove this effect modification.
5. Even worse, exposure by region was changing over time. (See data on cases in kids from bit.ly/2ZbLyNJ.)

So, if vax is least effective where exposure is most intense, Pfizer immunity could look like it's waning - just b/c in the South, exposure was rising (Mar-Aug).
Bottom line:
Both vaccines work well. But take Moderna-Pfizer comparison w a grain of salt.

1. Effective sample size is small.
2. There's a real risk of bias due to different exposure levels.

These data probably have some truth, but aren't as solid as they might first appear.

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More from @davidwdowdy

16 Sep
A visual representation of what we know and don't know about waning immunity.

We know, at 6-8 months:
- Partial vax not great.
- Full vax ~70-85% effective (better vs severe disease than infection).
- Booster gives short-term bump.

We don't know what happens next.
4 scenarios:
Scenario A: Booster gives long-term benefit (by increasing immune memory), and immunity to 2-dose series continues to wane.

In this scenario, boosters are the right thing to do, now.
Scenario B: Booster doesn't improve immune memory, so the added effect of booster is short-lived.

This is the worst-case, and in my mind least likely - because vax has been effective, w/o booster, for 8 months now.

Here, booster helps a bit, but we need revised vax.
Read 6 tweets
12 Sep
Dear FDA Advisory Ctte:

As you consider boosters for older Americans, ask yourselves *why*.

Is it to:
1. Slow transmission,
2. Boost long-term (waning?) immunity, or
3. Give short-term protection?

1. Will be a small effect
2. Has no data
3. May be the wrong time.

A thread...
1a. For transmission, look at the data from Israel. After giving booster shots, rates in those 60+ went down sharply.

But what was the effect on other groups? None.

ourworldindata.org/vaccination-is…
1b. This makes sense, because:
(a) in the US, people 65+ have the lowest case rates
(b) most of those cases are in not-fully-vax'd
(c) fully vax'd recover faster
(d) people 65+ have fewer contacts

Bottom line: to halt transmission, fully vax'd seniors would be lowest priority.
Read 13 tweets
2 Sep
@NEJM joining the waning immunity debate. I'm going to push back a bit.

Data from @UCSDHealth of vax effectiveness in health workers: 94% in June, 65% in July. Interpreted as "likely to be due to...delta and waning immunity over time, compounded by end of masking requirements." Image
1. re: delta. ~50% of CA sequences were delta in June. So if delta were the driving factor, we would expect to see some waning of vax effect in June (~halfway between May & July) - which we don't. Image
2. Same thing with waning immunity. According to the paper, vaccination started in mid-Dec, and it took 3 months to get 76% of workers vax'd. Why then would we see no waning of effect in May or June - and then a sudden drop of 30% in July?

Same for mask mandate - lifted June 15. Image
Read 12 tweets
25 Aug
An illustration of how social/geographic differences in vax rates can lead to false conclusions:

Consider 2 hypothetical towns, 10,000 people each. Assume 90% vax efficacy, no waning over time.

Town A is 90% vax'd: 60% early, 30% late.
Town B is 30% vax'd: 10% early, 20% late.
Next, assume that Town A has an outbreak of 1,000 cases (e.g., from returning travelers).

Town B is far away and stays at only 200 cases.

In town A, half of cases will be breakthrough (same # of cases in 9x the population).

In town B, only 8 cases will be breakthrough.
Now, combining Town A + Town B:

(a) Vax efficacy looks lower, b/c outbreak happened in Town A.
(b) Early vax looks less effective, b/c more early vax'ers in Town A.

For the math:
Crude VE = 1-(508/12,000)/(692/8,000) = 51%
RR (early/late) = (336/7000)/(164/5000) = 1.46
Read 4 tweets
21 Jul
If you're in the US right now, how worried should you be about the recent uptick in COVID cases?

A plain-language thread below.

Long story short - the 4th wave is here, and it's time to start acting now before things get worse. But without hitting the panic button.
1. Let's start with the bad news.

Cases are doubling about every 9 days right now - nationwide. This is eerily similar to the rate of increase when each of the previous 3 waves hit. And no state is being spared.

In terms of case counts, the 4th wave is happening. Now.
2. COVID deaths are likely to follow.

We generally see a 3-week delay between when cases go up and when deaths increase.

Since cases have only been increasing for 3 weeks now, we haven't seen an increase in deaths - but we will soon.
Read 9 tweets
1 Jul
The golden rule of epidemiology:
Association does not equal causation.

New variants are associated with epidemic waves, but what is the evidence they *cause* them?

An application of classical causal thinking to the question:
"Did the alpha variant cause a COVID wave in the US?"
An introduction to the Helix data (tabsoft.co/3h6fTUd):

Blue bars show % of samples that are the alpha variant, from Jan 2021 to present. Numbers in each state are # of specimens.

Caveat: Data are not representative. But have been used to argue that alpha caused a surge.
Alpha reached 50% of specimens ~Mar 20. Four weeks later, the US saw 30% rise in cases.

Current dogma: This surge was caused by alpha variant.

But this is only an association. Let's look at evidence for causality, taking the 5 states w most data (not cherry-picked). Image
Read 12 tweets

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