BC EDUCATION
Saved by @jay_millerjay

Normally I enjoy the high standards of journalism in @guardian . Not today as disappointed with misleading headline that suggest infections are spreading fastest in children. It'll worry parents/teachers & I doubt most readers will unpick the

 The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
2/
https://t.co/SR9PioFNHd
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
3/
I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound conclusions.
4/
https://t.co/CRW6uFXUdf
Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
5/
What REACT1 can’t tell us is how infectious children are or how much child infections drive the pandemic. Finding viral RNA on PCR from a child tells you nothing about how much virus they are shedding. Neither can it tell you the direction of transmisison (who infected who).
6/
Those of us in public health are well familiar with Bradford Hill criteria for causation that outlines key factors to consider. It would make sense to apply this approach to this issue.
7/
Is there CONSISTENCY? What’s been reported has been mixed, but @ECDC_EU , @CDCgov , @RCPCHtweets & other expert review groups have concluded the balance of evidence suggests kids aren't key transmitters of infection.
https://t.co/llVkHkwrRS
https://t.co/c8oOgua9FE
8/
Is the SPECIFICITY of the association or are there other confounders? Indeed the REACT1 report clearly show there are multiple other drivers such as deprivation & household size, etc...

9/
What about TEMPORAL SEQUENCE, i.e. does a rise in school outbreaks then follow a rise in community outbreaks? We aren’t seeing that.
https://t.co/VPbAmsbApG
10/
For me what also matters is PLAUSIBILITY & COHERENCE with what is known about the natural history and biology of the disease. Studies have shown that kids, being smaller, produce far fewer aerosols than adults. They also shed less virus than others.
https://t.co/Rv1e2VfJi6
11/
And also

https://t.co/GHa0FoJ34m
https://t.co/vW1b7j9p9j

And we know symptomatic persons shed more virus. So it follows that an adult is more likely to infect a child than the other way.
https://t.co/NpVoTakbzs

12/
This isn't to say that infections from children to adults don’t happen. Of course they do, but at much lower levels than the other way around. We mustn't lose sight of the fact that adults still account for the bulk of infections.

13/
We know that of all settings, household transmission is the highest risk. If infection is introduced into the household the majority of household members are likely to get infected. Community transmission matters.
https://t.co/OvWN28MZ0Y
https://t.co/fEOOvn6eE0

14/
This in no way refutes need for public health measures in schools to reduce risks of infection. Yes precautionary principle is important but need to balance both benefits & harms. Measures must be proportionate to actual (rather than perceived) risk.
https://t.co/VkugKMnS9R

15/
See also @apsmunro's excellent thread that outlines the evidence base.

https://t.co/VkugKMnS9R

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But, but, but...! This is such an unreasonable question!


Just hold the **** exams, for God's sake!


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1) 他的剑从船上掉到河里去
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Dr. Theresa Chapple
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My thoughts about Covid in schools-
Our studies are crap. We haven't put appropriate resources into studying this. Merging "in-person school" v "remote school" across the country makes little sense since there's so much heterogeneity in what "in-person school" looks like. 🧵

A teacher in Louisiana in an area with high rates of covid & in-person school, has a class with just 2 students in it. The entire school has 37 students and 12 staff, in a building that can hold hundreds.
Should this school's data be merged with a school that's fully open?

How would merging such disparate data, and everything in-between impact our understanding of Covid in schools? What about when we compare it to the rates in children who are in virtual school?

Things often not considered that should be... Are kids in pods? Are kids doing virtual school in community centers/ churches/ other group settings? Are youth sports or other extracurricular school activities (music, etc) happening in-person. Heterogeneity exist in this group too.

What's asymptomatic testing of children in the community like? We know that children are under-tested, how can we say something is safe if we are NOT TESTING children at the same rate as the rest of the population. We can't embrace the "don't ask (test) don't tell" apprach here.
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