Thread:
Even a mediocre vaccine can end the pandemic. But there are some caveats. I wrote about this on vox.com last week,
vox.com/21528373/vacci…
but here are the highlights: (1/n)
Let's assume that, on average, every person with COVID-19 can infect 2 additional people (a bit lower than the R0 of 2.5 but makes math easier). (2/n)
To stop the pandemic, we need to prevent disease in 1 out of every 2 people.
So if the vaccine is 100% effective, we'd need to vaccinate 50% of the population.
(Technically vaccinate or infect 50% of the population but trying to stay simple.)
(3/n)
With a less effective vaccine, some proportion of people we vaccinate aren't protected. So we have to vaccinate MORE people to end the pandemic.
(4/n)
This is bad, because we know from studies like this that the less effective a vaccine is, the less people are willing to take it.
(5/n)
jamanetwork.com/journals/jaman…
What if the vaccine is only 50% effective? Well, a bit of math would tell you that (assuming one person infects two others on average), we need to vaccinate 100% of the population to end the pandemic. That ain't happening.
(6/n)
But that assumes that one person infects two others. Actually, in practice, it's much less than that (thanks to masks, social distancing, etc). The better we are at those things, the less people we have to vaccinate to end the pandemic. rt.live
(7/n)
Here's the number of people we'd have to vaccinate to end the pandemic assuming a 50% effective vaccine, under various Rt values. As you can see, if we can keep the Rt below 1.4 or so, we can end the pandemic with a pretty bad vaccine if just 50% of people get it.
(8/n)
The catch is that for that strategy to work we have to KEEP distancing, KEEP masking, KEEP avoiding indoor gatherings (yup, that means Thanksgiving) until we squash new infections.
(9/n)
In this light, vaccines are a bit like masks. You should get one because it's good for society. It's a piece (along with masks, etc) of what we all need to do to get though this.
(10/n).
And we absolutely CAN get through this. A bit of hard work, a bit of sacrifice now, and by this time next year we'll be preparing for the best Thanksgiving we've ever had.
(11/n).
Health professionals: we need to get ahead of this. We need to promote vaccination even if vaccine efficacy is not amazing. Even a mediocre vaccine can work if we work with it. (12/12).

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More from @methodsmanmd

16 Sep
I have no idea which #vaccine
@realDonaldTrump was talking about today. But if we are going to have a vaccine before 2021, it will be one of these seven.

Here are the details (THREAD)

methodsman.com/blog/current-c…
mRNA vaccines
Inactivated virus vaccines
Read 4 tweets
5 Aug
OK let's do this.
In one place - ALL the randomized trials of #Hydroxychloroquine for #COVID.

5 peer-reviewed RCTs. 1 large RCT still in pre-print, but deserves recognition.

All negative.

I don't know what else to say at this point.

medscape.com/index/list_124…
Read 10 tweets
19 May
There will be no "antibody passports" for a while. Even if an antibody test has a low (say 5%) false positive rate, if YOU get a positive test, it may only be 50/50 (or less) that you actually have antibodies. WTF? (1/n)
It comes down to the false positive rate versus the positive predictive value. The FPR is how often a test comes back positive in a group of people WITHOUT antibodies. For this example, let's say that's 5%. (2/n)
OK - but as an individual, that number doesn't mean a lot. After all, you don't know if you truly have antibodies or not. That's why you're getting the test. (3/n)
Read 13 tweets
12 Mar
We're testing the wrong people for #Covid_19, let me explain (a thread). (1/12)
OK - tests are limited. That's a given. If they were unlimited, we'd test everyone. That's not an option. We need to triage. (2/12)
But what health systems are doing is selecting those who get tested. And they are picking a very specific group to test:
They focus on those with "classic" symptoms - like fever.
(3/12)
Read 12 tweets
18 May 18
1/ A student just asked me why, if the p-value for a study is 0.04, we can't say the study has a 4% chance of being a false positive. First off, we definitely can't, even under idealized conditions - here's a brief thread as to why.
2/ (Apologies to the great John Ioannidis who does this better than I ever could), and to @VinayPrasadMD whose "Tweetorials" are an amazing epiphenomenon in and of themselves.
3/ Imagine a world of scientific hypotheses - all those hypotheses out there, floating in the ether. "Atorvastatin reduces nose bleeds" is out there. So is "marijuana use increases the chance of graduating college". Some of these are true hypotheses, some are not.
Read 19 tweets

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