New findings from Swiss seroprevalence and an good opportunity to learn some more infectious disease epidemiology!

A similar prevalence in children aged 6 - 18 y (23%) than the adult population (~27%)

Lower in kids <6y (~15%) and over 65y (<15%)

What can we learn?

1/8 https://twitter.com/ScottGottliebMD/status/1339635334934646784
First, another lesson in age binning for kids (will we ever learn?)

6 - 18y is a weird age bin which I would not recommend

It hides big epidemiological differences

In fact, we have seen it in related data before...

2/8
The pre print of the first study from this team used age bin 5-19 y and reported no statistically different prevalence vs adults

https://www.medrxiv.org/content/10.1101/2020.05.02.20088898v1

They changed for publication and found significantly lower prevalence in children <10y

https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(20)31304-0/fulltext

3/8
Unsure why they would do the same thing again here, especially as a much lower prevalence in the under 6s hints it is very likely lower in the under 10's again

This is a much more important category policy wise as encompasses primary education

But we will move on...

4/8
Lets just assume for now the prevalence is the same for adults and children. Would this imply children are just as susceptible as adults?

Prevalence of infection is determined by 2 things:
- Susceptibility
- Exposure

5/8
Even if my susceptibility is low, if I lick door handles on a COVID ward I'll probably get infected

If my susceptibility is high and I lock myself in a cupboard for 6 months, I won't get infected

Seroprevalence alone cannot inform us about susceptibility, but can hint...

6/8
In summary:

-Don't use silly age bins for children (please), split by policy implications
-Seroprevalence cannot in and of itself tell us about susceptibility
-These results are as expected if young children were less susceptible to infection (evened out by exposure)

8/8
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