As more folks get #vaccinated, the % of folks who get sick with #COVID19 & happen to be vaccinated will increase. This is expected (at rates that my team & others are monitoring), & it doesn't mean that #vaccines aren't working; rather, it reflects the realities of probability.
A few of y’all have asked for clarification about the math here. I may get around to doing a more comprehensive thread, but for now, the easiest way to understand this is in the extreme situation where 100% of Population A is vaccinated & a sick person visits from Population B.
Because the vaccines we have aren’t 100% effective, a fraction of Population A is still susceptible when the visitor from Population B comes on by. In such a situation, ~100% of folks who subsequently get sick in Population A (via the sick visitor) will have been vaccinated.
An important thing to note here though is that because only a (small) fraction of people in Population A are susceptible when the sick visitor comes on by, only a small *number* of people get sick—a much smaller number than if fewer people in Population A had been vaccinated.

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More from @maiamajumder

31 Dec 20
2020 has been a tough year for pandemic responders & scientists, but I am extraordinarily proud of my team.

Here’s a thread of quote-tweets that compiles some of our #COVID19-related work since January 2020.

Please join me in celebrating my amazing trainees & colleagues!

1/X
Read 29 tweets
4 Dec 20
As an introverted (& socially anxious) pandemic responder, it’s been hard for me to maintain social ties with folks beyond my family & colleagues — not because I don’t want to, but because I need time alone to recharge between seemingly endless Slack messages & Zoom meetings. 1/X
Due to the nature of the job, the amount of person-to-person interaction I’ve had professionally since January has been increasingly overwhelming for someone like me... So, by the time virtual trivia night comes around each week, I’m usually too Zoom’d out to join my buddies. 2/X
But here’s the thing: please keep inviting me. Please don’t cancel me & others like me. We love you & care about you, even if every spare minute we have right now is dedicated to trying to recuperate (& to grieve) in between the demands of our professional responsibilities. 3/X
Read 4 tweets
12 Oct 20
Our paper on the role of environmental factors on #SARSCoV2 transmission (led by Canelle Poirier & @MauSantillana) has been peer-reviewed & is now live: nature.com/articles/s4159…

In our study, we find a lack of sufficient evidence for weather-mediated seasonality of #COVID19. 1/X
I’ll let @MauSantillana take the lead on fielding questions about this work, but I wanted to point out two things.

First, I use the term “weather-mediated seasonality” conscientiously. There are a lot of other phenomena that *also* mediate seasonality, like behavior change. 2/X
For example, I don’t doubt that congregating indoors – which will likely happen more often as winter emerges in the U.S. – may very well increase transmission risk in temperate climates.

These issues are extremely important, but they aren't what we’re studying in this paper. 3/X
Read 8 tweets
22 Aug 20
Recently, I've had a lot of folks ask me whether it'll be possible to safely visit loved ones during the 2020 holiday season. In the US, #COVID19 will likely still be with us then – but "merging bubbles" may be an option (if done responsibly).

Let's discuss what that means. 1/X
The concept of "merging bubbles" involves bringing two or more households together such that they can interact with each other (indoors and in person). In this thread, I'll be offering my own personal views on how to minimize #coronavirus transmission risk while doing this. 2/X
Let me preempt this by saying that the advice I offer today is based off of the best available knowledge at present and is subject to change between now and the holiday season. If it does, I'll be adding an addendum to this thread – so be sure to bookmark and check back then! 3/X
Read 24 tweets
13 Jun 20
Our latest preprint from the #COVID19 Dispersed Volunteer Research Network is now live at [biorxiv.org/content/10.110…]!

We use machine learning techniques to map the existing #coronavirus literature & identify research needs for #SARSCoV2 (compared to #MERS- & #SARS-CoV here).

1/N
(This study was led by @AnhvinhDoanvo in collaboration with @Money_qxl, @qramjee, @EvolvingEpitope, @angeldesaimd, & myself. It started off as one of our research hackathon projects in late March, & it's been such a delight to oversee its development over the last 11 weeks!)

2/N
Perhaps unsurprisingly to those familiar with scientific funding mechanisms, we find via PCA & LDA that #COVID19 studies (both preprints & peer-reviewed) have primarily been dominated by clinical, modeling, & field-based – as opposed to laboratory-based – research to date.

3/N
Read 6 tweets
13 Mar 20
OK, folks. I know things seem really scary right now. The landscape of our response to #COVID19 is changing by the hour, much like our knowledge about this disease (from a scientific lens) has changed by the hour over the last two months.

Please prioritize self-care, y’all. 1/N
For most of us, the best we can do is practice disease prevention (wash our hands, cover our coughs & sneezes, etc.) and (if we are in the position to do so) limit face-to-face time with others.

The latter (#socialdistancing) can #flattenthecurve, but it comes at a cost. 2/N
I’ve talked about some of these costs here on Twitter, wrt the consequences such measures — when institutionally mandated — may have on our most marginalized communities. That doesn’t mean we shouldn’t implement them; it means we need to do what we can to limit the harms. 3/N
Read 10 tweets

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