1. Hi! Trained risk assessor here. Can we talk about this “1 in 5000” risk of getting #COVID19 if you are vaccinated, all of the things that are wrong with the number and how it is being used, and why I still think there is some value in the calculation? 🧵
2. First, for those unfamiliar, this first appeared (to my knowledge) in a column by @DLeonhardt in the @nytimes. He estimated a 1 in 5000 risk from stats in a few settings (UT, VA, WA). Let’s assume that his number is right. I still have a few major problems with it.
3. First, it is a daily risk, which is not how we commonly quantify risk. The column did say this directly, so it is not hidden from the reader, but many people dropped that nuance in talking about the number. Probably too much headline reading and not enough article reading.
4. Of course, this is not a one day pandemic, so a daily risk number isn’t terribly helpful. Translated to an annual risk, that’s around 7%.
5. People have a hard time gauging small numbers and small probabilities. I would guess that readers would be much more worried about a 7% annual risk than a 1/5000 daily risk, even if they are the same thing.
6. Second, it is not connected to time or place. Again, @DLeonhardt does say that 1/5000 is not the number everyplace and at all times, so it’s more about the application of this number and the fact that the headline lacked nuance.
7. The problem is, if a vaccine reduces the risk of a case by x%, then the absolute risk of a breakthrough case is higher when overall incidence is higher. Makes sense. But that means risks are higher now for vaccinated people than 3 months ago. Even worse for unvaxed, of course.
8. And case incidence varies wildly across the country. 2 orders of magnitude across counties. Layer onto that variable population density, different job activities, etc., and individual risks vary by many orders of magnitude.
9. This, I think, is the biggest problem - applying a population average risk to individuals, when the risk varies widely AND is influenced substantially by the individual.
10. If I work from home, wear an N95 in public, and live in a city with low case incidence, my risk is well below average. If I am an essential worker around unmasked people in a city with high case incidence, my risk is well above average. “1 in 5000” misleads in both cases.
11. Relatedly, getting COVID means very different things to different people, depending on individual vulnerability and the people around you. “1 in 5000” means something different if you live with unvaccinated or immunocompromised people.
12. All that said, let me praise one aspect of the “1 in 5000” calculation. Many scientific papers and other communications report relative risk reduction from vaccines, or the aggregate relative risk reduction from layered protection.
13. But that’s not often how people think. And when you talk about layered risk reduction, people can’t distinguish between 99% and 99.9% reductions even if they are extremely different from an absolute risk perspective.
14. So it’s good to put things in absolute terms. Not for silly comparisons with other risks, not leaving out time or place, and not ignoring the fact that my risk becomes yours. But so people can have a more realistic sense of what to do post-vaccination.
15. The risk to vaccinated people of getting COVID is not zero. That we can agree on. So these calculations can help us dispense with magical thinking and get people to take appropriate precautions. But we need to explain and use these numbers the right way.
16. 1 in 5000 is not a number to be dismissed, especially on a daily basis. It is a number to be better understood at an individual level, with individual and collective actions to reduce risk for the vaccinated and unvaccinated alike.
17. Lots of comments on whether 1 in 5000 daily risk for vaccinated is reasonable and plausible. I didn’t calculate it - but we can do a quick back of the envelope calculation to see if it passes the smell test. 🧵part 2…
18. Let’s say there are around 150,000 new cases per day and 54% of the country is vaccinated (got that from nytimes.com/interactive/20…). Call the US population 330 million.
19. And let’s assume the vaccinated are 5 times less likely to get infected than the unvaccinated, per the CDC.
20. Then it’s just algebra.

Let X be the rate in the vaccinated, and 5X the rate in the unvaccinated.

Overall daily rate is 150,000 divided by 330 million, or about 1 in 2200.
21. So it is .54X + .46(5X) = 1 in 2200

(Parenthetically, doing math on your phone while your 7 year old is throwing paper airplanes at you creates space for errors. Apologies in advance if I botch something…)
22. Solving for X, it is around 1 in 6000.

In other words, very roughly, the daily risk is around 1 in 6000 for the vaccinated, 5 times higher for the unvaccinated.

Very rough calculation, not controlling for anything, but it shows that the @DLeonhardt number is roughly right.

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More from @jonlevyBU

14 Sep
Anyone patting themselves on the back about how we have handled #COVID19 in MA should periodically look at this chart and the profound racial/ethnic disparities. #mapoli Image
Our analyses showed that communities with higher % Latinx populations had sustained elevations in case incidence across the first 8 months of the pandemic, even after controlling for other factors.

bmcinfectdis.biomedcentral.com/articles/10.11…
The Latinx population in MA also has among the lowest % vaccinated (56%) among racial/ethnic groups in the state.

mass.gov/doc/weekly-cov…
Read 5 tweets
25 Aug
1. Both MA and VT target 80% vaccination rate in schools to remove mask mandates. Let’s be clear that this isn’t about herd immunity. For one, 80% doesn’t get you there - if R0 = 6 for delta and vaccine efficacy is 90% (both generous assumptions), it would be 92.5%.
2. Also, a school isn’t a “herd” (though it sometimes feels like one). Students and staff go home and interact with people outside of school.
3. Pure speculation, but I would guess that 80% just felt like a reasonable target consistent with overall vaccination rates. And therefore unmasking is a “prize” for schools that hit the target.
Read 6 tweets
5 Aug
1. I've been frustrated with how #COVID19 cases among the vaccinated have been reported, and I feel like it can be done better. I'm not an expert in this space, but I wanted to toss out some thoughts to #epitwitter and see if some collective wisdom could emerge. 🧵
2. First, to be clear, this is about public presentation of data in the media, not optimal study design to determine vaccine efficacy. My premise: Reporting just number of "breakthrough" cases lacks context, and "breakthrough" cases divided by number vaccinated lacks meaning.
3. So what is meaningful? Starting with cases, I'd argue that new cases per 100,000 vaccinated vs. new cases per 100,000 unvaccinated is a good starting point. CA does this - for the past week, it was 7 for vaccinated and 33 for unvaccinated.

cdph.ca.gov/Programs/CID/D…
Read 12 tweets
26 Feb
Let me make sure I understand - with data (below) showing that #COVID19 is no longer declining in MA, with the more infectious variant increasing, and the goal to open schools in April, we are opening restaurants on Monday at full capacity with musical performances? #mapoli
Here are some recent studies (graphics borrowed from @EricTopol) which reinforce risks associated with in-person dining 👇
At least we prioritized vaccinating food service workers to make sure we protected this vulnerable population before reopening.

Oh, wait...
Read 6 tweets
7 Feb
1. Just celebrated 20 yrs as a professor this week, so I’ve been thinking about life in academia.

I have only one piece of advice - know yourself, use that to figure out what success means to you, and find people who will help you achieve that success.

Let me explain... 🧵
2. You will meet a number of potential mentors along the way. Some will be lousy. Some will be good but will guide you toward their notion of success. The great ones will ask you first what you want to achieve, and strategize with you about how to get there.
3. There are so many dimensions of academia. Do you want to devote most time to teaching? Research? Administration? Why? And what would it mean TO YOU (even if not to others) be successful in each area?
Read 11 tweets
22 Aug 20
1. There has never been more focus on ventilation in school buildings. This leads to the obvious question - what do we actually know about ventilation in schools, and how important it is?

THREAD
2. First, a primer. Many studies use indoor CO2 to characterize ventilation, because the primary source in a school building is people breathing, and the outdoor concentration is relatively stable.
3. A recent review article by Fisk reported that ALL studies in schools found average CO2 of over 1000 ppm, a sign of a poorly ventilated space (outdoor CO2 is roughly 400 ppm).

onlinelibrary.wiley.com/doi/full/10.11…
Read 9 tweets

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