1/ Like many others, I've been frustrated that we haven't seen the data behind the CDC's new recommendations. Parsing exact wording in transcripts is🤦

We're told there will be a release tomorrow but thanks to the @washingtonpost there's an internal CDC document to parse tonight
2/ The article by @yabutaleb7 @carolynyjohnson @JoelAchenbach is here:
washingtonpost.com/health/2021/07…

TY @bijans for spotting the "full pdf" download button.
3/ what do we learn?

The mysterious "other data" for high viral load in breakthrough cases came from a 4th of July outbreak in Provincetown (Barnstable, Mass) where the “vast majority” of the new cases were among fully vaccinated individuals

cc @zeynep
thehill.com/homenews/state…
4/ Based on @CDCDirector statement, I would assume that there was documented transmission from vaccinated to vaccinated in that outbreak.

I guess we always knew it *could* happen, but seeing it in real life must feel different
5/ here's a key data point that has NOT changed (which wasn't clear to me from the press conference)

IF a vaccinated person is infected, then yes, they have higher viral loads with delta.

But vaccination is still strongly protective against infection.

CDC estimates ~75-85%
6/ And there is almost no drop-off in efficacy of vaccine against hospitalization or death with Delta.

As more people are vaccinated, we will see higher proportion of hospitalized be vaccinated, but even those are concentrated among the immunosuppressed (44% vs 2% gen pop)
7/ So what leads to the new recommendation?

Modeling?

Here's the money slide. In case you didn't get it the first time, they helpfully add a red box alert

Let's break down what the analysis shows-

At diff levels of vaccine + natural immunity, what's prob of outbreak growing?
8/ The model assumptions alone are cool to see in black and white.

Masks prevent 40-60% of cases if worn by an infected person, and 20-30% effective at preventing inbound infections

~35% of population infected already (could be higher)

~60% vaccinated (dotted line)

(both?)
9/ Under these assumptions, with OG, even if no masking only a 20% probability that an outbreak would grow, while with delta, it's over 95% likely to grow

[Expressing results of modeling studies is hard, but I don't love this prob(increase) outcome. The extent of growth matters]
10/ The masking recommendation comes down to the lower right panel (not the highlighted one)

If unvaccinated adopt 100% masking, then 50% probability that outbreak would grow (at least until "natural immunity"+vacc rise higher)

But under universal masking wouldn't grow

maybe?
11/ Look, I'm not a professional modeler, but I've worked with some good ones.

(@SalomonJA @ambilinski and I wrote "Modeling Contact Tracing Strategies for COVID-19" jamanetwork.com/journals/jaman…)

They're tools for simplifying & understanding the world- not a magic 8 ball for policy
12/ what is the masking policy switch? not what's in the model

In outbreak hotspots like Arkansas, politicians have literally outlawed masking requirements.

In Maryland, we are obsessing over whether all of our fully vaccinated staff need to mask if one person comes in from DC
13/ Universal masking is not a policy option that's actually available to us, especially where it's needed most.

And serial transmission among fully vaccinated IS REALLY UNLIKELY (even if it's possible).

If vaccine 80% protective, then Rt<1 among fully vaxxed, even for delta
14/ If fully vaccinated, not much has changed for me based on this new data.

I will follow all guidance & ordinances, but I'm still not a likely vector of spread

I'm still less likely to get it, and if not immunosuppressed, almost assured of protection against serious illness.
15/ As the administration has been saying the most powerful thing we can do is to increase vaccination, and it's encouraging to see that trend happen during this latest surge, and for businesses to be encouraging or mandating vaccination among their workers

vaccines (still) work
16/ I think the most trenchant analysis of the new CDC guidance is from @DrLeanaWen - it's not actually about the vaccinated.

"The CDC needs to make clear: The problem is the unvaccinated "

washingtonpost.com/opinions/2021/…

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More from @Farzad_MD

28 Jul
1/ What percent of vaccinated people who get infected with covid will have long-term symptoms?

I don't know, but I highly doubt that it's 19%.

Here's why I say that, and what the *right* study design would be for answering that question.
2/ when I was an Epidemic Intelligence Service Officer at the CDC, I investigated lots of outbreaks, and every one would have a symptom checklist

A surprisingly high number of people with a diagnosed infection will say YES to a variety of symptoms

Fatigue?
Headache?
Fogginess?
3/ many of these reported complaints would have absolutely nothing to do with their infection.

But recall bias is super powerful, and respondents often feel like they're supposed to say "yes". So they do.
Read 7 tweets
7 Jul
1/ Our national quality/value program (MACRA) is broken

Most people just complain about its shortcomings, but @Travis_Broome comes up with an elegant, grounded way to fix its biggest flaws

Apply behavioral economics, use virtual groups, lay path to APMs ajmc.com/view/macra-has…
2/ MACRA was a true milestone, and a concept that I still support- instead of artificially capping medical inflation (and then not having the guts to actually see doc pay cuts) lets create 2 paths- a "pay for performance" base and an incentivized alternative payment model track.
3/ But 3 seemingly technical details fundamentally sapped the potential impact of this huge bill.

classic behavioral economics- the impact of an incentive is not just proportional to its size, but also its cost, uncertainty, and delay

MACRA stunk on all counts here.
Read 14 tweets
19 May
1/ "Federal antitrust oversight has proved inadequate at preventing anticompetitive effects across the health care sector" per @commonwealthfnd

What else can the federal government do, given the difficulty of passing healthcare legislation?

Plenty.
commonwealthfund.org/blog/2021/fede…
2/ in this article, Joseph Kannarkat and I break down all the tools that the Biden administration and @SecBecerra have to address competition beyond antitrust reviews

jamanetwork.com/journals/jama-…
3/ first of all, if the Biden administration chooses to elevate health care competition as a priority, it may garner rare bipartisan support.

This is an issue that has support from left (@ZekeEmanuel) and right (@Avik) thought leaders and legislators.
Read 8 tweets
11 Apr
1/ in our continued COVID field epidemiology series

"What's the question?"

April 2021 edition: "Are the vaccines effective against the variants?"

We have wet lab data, (limited) clinical trials reports, but what about field epi?

What epi design/surveillance would answer it?
2/ Why do I think it's "The Question" of this moment for field epi to try to answer?

I'm going to be joining @Bob_Wachter @cmyeaton @inthebubblepod tomorrow in our continuing "Safe or Not Safe" series, and Variant vs Vaccine will make all the difference

3/ I am 100% certain that everything I am saying here is much better understood by city/state epidemiologists @CSTEnews and @CDCgov experts.

But they are too busy to tweet, aren't free to talk openly, and may not control their own work/ resources.

And that's exactly the problem
Read 16 tweets
29 Mar
1/ COVID Deaths are lower than horrible peaks, but seem to have plateau'd- as cases rise in several states are we due for another surge in deaths?

I don't think so.

(vaccines work)
2/ It's important to remember just how much deaths lag infections. Many of the deaths being reported today will have first become infected a month ago, or even longer

The death data does not yet reflect the big surge in vaccine administration that happened in the past few weeks
3/ The recent surge in vaccinations has been impressive, and the group with the highest vaccination rates (appropriately) are the 65+

As @aslavitt46 reported, 73% of elderly vaccinated now (and 36% of adults) 👏👏👏
Read 5 tweets
3 Mar
1/ this is the most detailed description of the lab-leak hypothesis I have seen (and I don't buy it)

It posits a "chopped-and-channeled version of RaTG13 or the miners’ virus that included elements that would make it thrive and even rampage in people?"
nymag.com/intelligencer/…
2/ to be clear, I've seen first-hand-in a 7 month-old baby-the scourge of a lab-produced bioweapon that was exfilitrated (anthrax 2001).

I agree w @mlipsitch position that the risks of creating Gain of Function pathogens w increased infectivity/deadliness outweigh the benefits ImageImage
3/ beyond artful prose and connect-the-dots suggestions, here's the idea:

That a bat virus sample (RaTG13) was manipulated in Wuhan lab to be more infectious through the lego-block addition of key genetic mediators of human infection

But that's not what the sequence looks like Image
Read 7 tweets

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