1/ #SARSCoV2#COVID19 transmission isn't equal: some cases transmit much more than others. We know that close, crowded, poor ventilated places (esp w loud talking/singing) link to superspreader events.
Minimising these situations will have an outsized effect - without 'lockdown'
2/ We can also reduce *risk* in those situations: make them less crowded (density rules), make them quieter (no singing, turn down music so talking is easier), increase ventilation (open doors/windows, turn up HVAC), reduce aerosols (wear masks if possible).
3/ @AdamJKucharski explains that this uneven transmission also means a person, on average, was infected by someone who infected others too. If we trace *backwards* & find the 'source' - then trace their contacts - we'll identify more cases.
More effective use of tracing efforts!
4/ Countries vary in important ways, but one of those is likely how many 'superspread risk' situations an average citizen encounters regularly - & how much that's been reduced (or not) through restrictions. This may explain partly why outbreak trajectories vary so much.
5/ We're hyperfocused on Sweden these days - but their restrictions likely cut the opportunity & risk for superspreading events (outside of carehomes). However, they may also have started as a place with relatively less 'superspread risk' (low density, wealthy, cultural factors)
6/ Thus, what works in one country - or even city - may not be as effective for another. If restaurants in one country are generally less busy & less frequented, for example, closing them may make little difference. In another place, reducing their risk may have a big impact.
7/ While we can & must learn what strategies are working in other countries, "copy & pasting" probably isn't smart. Taking into account the risks & behaviours of our own countries & cities, we need to 'custom-fit' existing good strategies to ensure they're maximally effective.
8/ @AdamJKucharski also highlights the fragility an unevenly-transmitting virus brings to 'containment' - a few superspreading events can explode a small number of cases into alarmingly climbing numbers, suddenly turning a 'got it under control' situation on its head
9/ But these superspreading events also provide effective targets: invest in backwards-tracking & "cluster busting" & you likely have an outside impact on transmission! Combined with targeted superspread risk reduction & testing scale-up, staying largely open is likely possible!
10/ What we should avoid, says @dylanhmorris, is "the worst of both worlds... burdensome restrictions that fail to achieve substantial mitigation". (UK likely an example here)
Let's use our restrictions as effectively as we can - to both save lives AND livelihoods. #SARSCoV2
11/ This thread a mix of summary of the fantastic article by @zeynep with a little bit of own commentary!
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I'm excited to announce a new paper with @MLReichmuth and @C_Althaus, out now in @PLOSPathogens!
We used phylogenetics & modelling to investigate the introduction & expansion of #SARSCoV2 Alpha & Delta variants into #Switzerland & to simulate different interventions.
1/17
First, we wanted to estimate the number of times Alpha & Delta were introduced into Switzerland before they were dominant.
For this we used sequences: we looked for where Swiss Alpha/Delta seqs descend from non-Swiss sequences - coming to Switzerland from elsewhere.
2/17
We looked at two ways of counting these introductions:
Liberal: every Swiss sequence coming from non-Swiss sequences is an introduction
Conservative: only the first Swiss sequence in a subtree of mixed-Swiss-non-Swiss sequences is an introduction
Benevolent dictators have no place in academic science.
I don't care if they usually make the right decision. Or if people don't think they've abused their power yet.
Science should not depend on one person being well-behaved.
Balance should be built in, power distributed.
1/5
"If you want to go fast, go alone, if you want to go far, go together" the African proverb says.
Can driven, visionary people start up groundbreaking ideas & cut through barriers to implement them? Absolutely! This 100% is part of science.
2/5
But if you want your idea to be a keystone of science communities & the public, you have to make it about more than *you*.
If you want to run a private business, go do that.
If you want to be keystone of public science, you have to be transparent, trustworthy, & stable.
3/5
23B (XBB.1.16) is now available on CoVariants! It's visible as part of Per Country & Per Variant plots, on the shared mutation page - and of course, has a page of its own.
As I covered earlier, 23B (XBB.1.16) is descended from the recombinant 22F (XBB) variant, with some additional mutations. You can read more about how it evolved & acquired those mutations below 👇🏻.
Also from this article:
'Marion Koopmans ... says she has received multiple calls from Bogner“with a rather intimidating tone.” So have colleagues, she adds. “I have heard similar experiences from quite a few.”'
And:
"And Science heard many stories about researchers who saw their data curtailed, or cut off, without explanation. Some linked the actions to their being critical of GISAID or being seen as a potential threat."
If you're an early career researcher (yes even 'just' a PhD student!) 1 of my biggest pieces of advice would be:
Go claim/create your Google Scholar page!! 👈🏻✍️🏻
I put this off bc I thought I 'didn't have enough on it'. I also generally thought "nobody is looking for me".
1/4
Now that I'm (a little) on the other end, I see how wrong I was.
It's *just fine* to not have "much" in your Google Scholar profile - anyone worth their salt will be evaluating you relative to your career state.
Much more important: to be findable!
2/4
And alongside that: it's so useful to have an easy way for people to see what your field is & what you've been up to/who you work with/your expertise.
Google Scholar is also pretty easy to maintain (will vary depending on how unique your name is), as it auto-updates.
3/4
23A (XBB.1.5) is now available on CoVariants! It's visible as part of Per Country & Per Variant plots, on the shared mutation page - and of course, has a page of its own.
As I covered earlier, 23A (XBB.1.5) is descended from the recombinant 22F (XBB) variant, with some additional mutations. You can read more about how it evolved & acquired those mutations below 👇🏻.