We certainly need more data on long covid in children (studies are underway), but given infection in children is predominantly mild or asymptomatic, prolonged, severe symptoms are unlikely to be common
5/10
Myth 3. International modelling shows schools drive transmission, and are less biased
That was not the finding of this systematic review of these studies
Nor was it the finding of this modelling study from the US which determined children played a relatively minor role and young adults were the driving factor (which is what has been observed internationally)
Models have their uses, but are subject to the limitations of the data and assumptions put into them
Modelling of school closures relies heavily on data from Spring 2020, when accompanied by near simultaneous implementation of other interventions. This bias is baked in.
6/10
Myth 4. Primary schools play just as important a role in transmission as secondary
I've heard people quote the number of outbreaks being the same from PHE data as evidence
Not untrue, but ignores the fact there are nearly FIVE TIMES MORE primary than secondary schools
7/10
Not only this, but data from a survey from the first half term in autumn showed the *majority* of cases in primary school outbreaks were in staff, not children
Also, random, in school sampling by ONS found lower prevalence in primary than secondary schools
8/10
Does this mean transmission doesn't happen in schools? No
Does it mean we can open schools willy nilly? No
Does it mean the consensus of the EU and US CDC that transmission within schools is relatively low and not the driving factor in community transmission is sound? Yes
9/10
For the excellent review document from @ECDC_EU see link
These numbers are roughly accurate, but do not reflect anything like a comparable scenario to spring
These children are MUCH less unwell, due to a combination of recognising less severe cases, early management, and perhaps a degree of over diagnosis to be on the safe side
2/4
Only a couple of patients per day are even unwell enough to be enrolled in the worlds only clinical trial for this condition, the RECOVERY trial
Very few cases of coronary artery aneurysms, which even after spring resolved for most children over follow up
3/4
They use age specific mortality data to eliminate bias from undertesting of cases, alongside mobility and contact data
They found adults age 20 - 49 are the origins of most infections
This did not change over time, nor with school reopenings
2/5
Conclusion:
"This study provides evidence that the resurgent COVID-19 epidemics in the US in 2020 have been driven by adults aged 20-49, and in particular adults aged 35-49, before and after school reopening."
3/5
I've seen suggestions that the idea younger children might be less susceptible to infection with #COVID19 is a "myth", based on children just not being tested enough
That is untrue!
Whilst it's true children are under tested, this is not where this idea came from!
1/8
It comes from household contact tracing studies
When someone in a home is identified as being infected, the other members of the house are tested to see if they are infected
It's a useful experiment as everyone at home gets very similar exposure
2/8
Some early studies did only test contacts with symptoms, but actually most large studies since then have tested ALL close contacts REGARDLESS of symptoms
The current issue of #schoolclosures is so complex I am loathed to add my opinion to the twitter soup
Massive uncertainties✅
High stakes✅
Huge health trade offs✅
Opposing opinions ✅
Easy answers 🚫
I'll just add a few simple thoughts
1/9
Firstly, don't be fooled by twitter
It has the most shouty and polarised opinions only, the moderates have been largely hounded out
Both public and scientific opinion is almost certainly much more nuanced and balanced than this platform would fool you into believing
2/9
Next, advocating for widespread closure is a legitimate opinion in the current environment
Massive, uncontrolled community transmission and looming hospital capacity issues, with high prevalence of infections among children (esp teens) are a bad mix
3/9