This study used data from the Catalan school surveillance system
All contacts within school bubbles are tested following a positive index case
Linked cases determined by onset within 10d of index
They matched this data against the wider health surveillance system data
2/
Mitigations included masks from age 6 upwards, school bubbles, and increased ventilation
They found data matched well between school and wider health surveillance
This is a massive study of roughly 15,000 index cases within schools
Let's take a look at the results!
3/
The main finding was of a clear age dependant gradient on transmission within school bubbles
R* = 0.2 in pre-schools up to 0.6 in high schools
4/
A substantial proportion of index cases transmit to no secondary cases (left) - 78.5% of primary and 71% of secondary school
A higher number of index cases found in the older children also corresponded with a higher number of linked secondary cases (hence higher R*) (right)
5/
As with many studies of COVID-19, transmission was over dispersed (lots of super spreading)
14% of cases in primary and 17% in middle school resulted in 80% of transmission within bubbles
6/
The strengths of this study are that bubbles were screened - so all students tested. Therefore it is unlikely secondary cases were missed.
Data was also linked to wider health surveillance with a good match, so we can have good confidence here
7/
Caveats are asymptomatic index cases resulting in asymptomatic secondary cases may have been missed - it is unlikely large outbreaks could have gone unnoticed in this context
This was pre Alpha or Delta - as a rule of thumb you could probably double R* for Delta vs Wild type
8/
An extraordinary study from a great team, confirming R*0 surprisingly low in the school environment, and increasing in an age dependant manner.
In the era of vaccines, we can hope for fewer introductions from outside school too
9 end/
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Putting aside that even achieving elimination (no more left in your country) once you have reached high levels of disease is near impossible (see @TAH_Sci blog)
A randomised trial of daily testing of school contacts of COVID-19 cases found it was just as good (or maybe better) at preventing transmission than sending kids home
Some seems to be some confusion on why it's better to coincide easing of restrictions with schools closing for summer
If schools are not drivers of community transmission, why does it matter?
Don't worry, it's quite simple! Let me explain...
1/
Firstly, closing schools does not just stop transmission in school
When schools are closed, adults have to stay home, change their plans etc to look after children
This appears to be a pretty major source of reduction in R associated with school closures in general
2/
For example, modelling frequently shows closing Primary schools to reduce R by a greater degree than closing Secondary schools, despite more transmission occurring in Secondary age children
This is likely because closing primary schools forces more parents to remain home
3/