1st I'd like to acknowledge @bjesseshapiro @cl_murall & other amazing #scientists whose work & analysis should be relied on by policy makers & media alike.

See my summary of their phylogenetic study of #SARSCoV2 in Québec 👇🏾 https://twitter.com/DeNovo_Fatima/status/1308113245073534976
2/11
Analyzing samples from 734 Québec residents shows a global introduction of the virus into Québec. However, once the borders were closed & restriction were put in place, certain clades of the virus become more frequent.
What is a clade you ask? good question, keep reading👇🏾
3/11
Think of clades as cousins. You & your cousin share the same ancestor (grand parents, great grand parents, etc.) & therefore your genes are very similar (this is why inbreeding is bad).
Viral clades are like cousin, they are closely related with a common ancestor
4/11
What are strains then? Another good question...
In the example of you & your cousins, if your family tree keeps growing w/ everyone reproducing w/ non-relatives, after many generations, you & your cousin, 100 times removed, are now markedly different.
same applies to viruses
5/11
In Québec once travel restrictions were put in place, depending on a number of factors, including people's movements & contacts within the province, a few of those clades had the opportunity to spread more & therefore become more prominent.
6/11
Now you're probably wondering what if those prominent clades were more virulent?
And that's a brilliant question to ask; good job, you're starting to think like a #scientist👩🏾‍🔬
Scientists have indeed looked at these scenarios & our current evidence shows that is not the case
7/11
The clades that became prominent in Québec were also present in other part of Canada & the U.S.

If these clades were more virulent as @ArrudaHoracio claims, then we would see
*⃣ similar transmission dynamics in other regions
*⃣ those clades out competing other clades
8/11
Lastly, so far clinical data has NOT shown association between severity of symptom or positivity rate and a particular clade.

*⃣ Positivity rate = # of positive tests / total daily tests * 100

9/11
This shows that the devastation seen last spring was the result of
*⃣ Early spring break
*⃣ Delayed governmental response
*⃣ Years of bad policies w/ respect to eldercare, childcare & healthcare in general
10/11
Disclaimer:
#Science in not a static set of facts. It evolves as we do more experiments, develop better methodologies & revise our thinking.
My assertions here are based on current evidence. Should our ongoing studies reveal a different outlook, I will update & revise.
11/11
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