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
4/ Here's some background most of you know.

People who are vaccinated have amazing protection against getting sick from COVID, and from transmitting it.

The best way to understand this is the probability distribution of vaccine efficacy

Great website:
wordpress.cels.anl.gov/covid-vaccine-…
5/ Vaccines also work well against the fast-spreading "UK Variant"

... except when it has the E484 mutation on top

nature.com/articles/s4158…
6/ The E484 mutation is what's maybe most worrisome about the "South Africa" (B.1.351) and "Brazil (P.1) variants.

We have limited data from clinical trials about vaccine efficacy vs these strains. Look at the confidence intervals in these estimates for Pfizer S Africa "finger"
7/ How much are these strains circulating?

Thanks to this excellent dashboard from CDC (which should be better known) we can track it at a pretty granular level.

There's clearly community circulation in South Carolina (3% of sequences)

HT @dmaccannell
8/ And it appears to be spreading, albeit not fast.

So if I'm a vaccinated older person in South Carolina, can I ease off? Can I go ahead and hug my grandkids, as I suggested at the last @inthebubblepod?

Does it depend on which vaccine I got?

9/ How can field epi answer this question?

You could sequence a representative sample of people who test positive, and look at likelihood of exposures (ie vaccine) in those with different strains of the virus.

**This is a perfect use of state/local contact tracing efforts**
10/ when I was an EIS officer in 1998 investigating a listeria outbreak I suggested that we use infected "cases" with non-outbreak strains as controls

(On the internet someone will tell me if I'm wrong)

This may have been a first for genetic field epi
ncbi.nlm.nih.gov/pmc/articles/P…
11/ So we are doing tons of contact tracing investigations across the country.

In many places, we are so overwhelmed with cases that we can't think about design

Are we systematically collecting, validating and analyzing vaccination status in the course of those investigations?
12/ You know who does seem to be keeping their wits about them?

Israel.

Just published a case control study that does exactly this

medrxiv.org/content/10.110…
13/ In the unvaccinated infected population matched to the vaccinated carriers, only 0.7% of the sequenced variants were B.1.351. Among the fully vaccinated group (FE) it was 5.4%

That suggests a much lower rate of protection for B.1.351 than B 1.1.7

14/ There isn't a lot of B.1.351 circulating in Israel, but they were able to do this study nonetheless, on a population of 4.7M people (insured by @ClalitHealth)

why not us?

SC has more people than that. NYC is twice that (but contact tracing is done outside health dept).
15/ We have allocated a lot of money for state/local contact tracing efforts, but they are still overwhelmed

The lag time between symptom onset and initiation of contact tracing means we aren't getting much outbreak suppression for the effort.

16/ I strongly believe that we should instead use these contact tracing efforts in a more thoughtful, DESIGN-ful way, so they can answer specific epi questions.

Children as vectors. Workplace transmissions. Super-spreader risks. Vaccinated carriers. Vaccine escape. & the next Q

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More from @Farzad_MD

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
1 Mar
1/ It took us over 6 months to have the epi studies that answered these questions.

That's one of the less recognized failures of an institution I revere, the CDC

They should have sharpened the questions, designed the studies and put dedicated epi resources behind them, quickly
2/ It took forever to do a proper serosurvey, to answer the IFR/CFR question

Understanding the primary role of asymptomatic spread was a game changer, took 6 months?

We are *still* debating kids as vectors.

Do we really know if vomiting indicates COVID?
3/ a few months later, we had other questions that needed answering-

Are we improving on timeliness of testing? 

Are we protecting the elderly? Where? (how?)

Is IFR declining within age groups?

Where were the focused surveillance activities to answer these key questions?
Read 5 tweets
22 Feb
1/ COVID has been a public health catastrophe

500,000 extra deaths, taking an average of 13 years each- 6.5 million years of life lost

That dropped US life expectancy by a full year

Did we erase a decade of progress? Will a child born today live a year less than last year?
2/ At first blush, it can seem confusing.

If life expectancy dropped by a year for 320 million Americans, shouldn't that translate to 320 million years of life lost, not 6.5 million?

OTOH, I trust the CDC. Here's the paper cdc.gov/nchs/data/vsrr…

seems legit. so what gives?
3/ Here's some more data- why did life expectancy plummet in 1917-1918 (by 10 years!) then rebound completely?

Life expectancy is the average number of years a group of infants would live if they were to experience prevailing age-specific death rates throughout their life
Read 8 tweets
29 Jan
1/ Please send all your #HealthIT eAsy fiXeS to @mickytripathi1

He'll love receiving & responding to them

The more the merrier! Make sure to include "just"

I'll start! ("likes" will demand a thorough response from @ONC_HealthIT)

>You should just get everyone on the same EHR<
2/

>You just need to create a universal patient identifier<
3/

>You just need to stop messing with the free market, industry will figure it out<

And introducing my guest speakers @DavidBlumenthal @HealthIT_Policy @HealthPrivacy @Fridsma @amalec @claudiawilliams
Read 5 tweets
23 Jan
1/ The Denmark variant story was pointed out by several people as being quite concerning- this line struck me - "Cases involving the variant are increasing 70 percent a week in Denmark, despite a strict lockdown"

But the actual data was hard to pin down- so I dug it up
2/ "The U.K. variant was 2 percent of sequenced coronavirus cases the last full week of 2020. By the second week of January, it had risen to 7 percent."

But in the context of declining cases what does that mean?

No link to data in article but it's here: covid19genomics.dk/statistics
3/ But those aren't actually the true cases, cause despite the headline "Denmark is sequencing all coronavirus samples..." while they are *trying* to sequence all, the number of cases with a genome of sufficient quality relative to the total number of cases ranges w-w from 10-36%
Read 7 tweets

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