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
(+A more widely-read revisit on March 4: )

5/X
(+This update on March 25, after publication in @LancetGH: )

7/X
(+This update on September 24, after publication in @PNASNews: )

9/X
(+This update on June 9, in a more academic format that was accepted at @kdd_news 2020 Humanitarian Mapping Workshop): )

14/X
(+This update on September 17, after publication in @Patterns_CP: )

16/X
(+This update on September 29, after publication in @LancetDigitalH: )

19/X
On July 21, with senior author Ingemar Cox and first author @lampos (which was recently accepted for publication):

20/X
On October 12, with senior author @MauSantillana and first author Canelle Poirier:

23/X
On October 14, with senior author @mandl and first author @MaryalineC:

24/X
On November 28, with @perraultandrew, @MLCharpignon, Jon Gruber (who isn’t active on Twitter), & @MilindTambe_AI:

27/X
I’ve also been able to participate in some amazing non-#COVID19-related work this past year… But if I had to choose just one to plug (that’s still related to the pandemic in its own way), it would be this open access book for @SpringerNature:

28/X
There’s so much more I want to share (& I’m sorry for anyone I’ve left out), but I need to run for now. In the meanwhile, I hope the above is a sufficient sample (though anyone responding to #COVID19 can attest the work is never done).

Stay safe this new year, everyone. 29/29

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More from @maiamajumder

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
12 Feb 20
New analysis from me & @mandl suggests that preprints might have driven global discourse about #nCoV2019 (#COVID19) transmissibility prior to the publication of relevant peer-reviewed studies. Find our preprint here [ssrn.com/abstract=35366…] as well as an explainer thread below!
@mandl Assuming representativeness, we first collected Google search trend interest & MediaCloud news volume data on #nCoV2019 (#COVID19) transmissibility. We then curated relevant studies from Google Scholar & four popular preprint servers. (Discovery specs are noted in our preprint.)
@mandl After plotting search interest & news media volume, we overlaid when each of the relevant studies were published. We found that both search interest & news media RE: the transmissibility potential of #nCoV2019 (#COVID19) peaked before publication of the first peer-reviewed study.
Read 11 tweets

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