The headline result on Tweets is that VL is higher in children than adults. But the same p-value seems to appear with different comparisons in different parts of the manuscript. Have a look. NB: I am not a fan of p-values or sub-group comparisons (2/n)
Abstract: “Nasopharyngeal viral load was highest in children in the first 2 days of symptoms, significantly higher than hospitalized adults with severe disease (P = .002).
So, in the first 2 days, when there were 2 adults and 9 children?
The #COVID19 data problem in Switzerland. As @sbonhoeffer says, we need to analyse #ContactTracing data to look at where coronavirus is, but they still aren’t available... 1/n
The point is to have info to break transmission chains. Showing that families account for a large proportion of #COVID19 is one thing. But it doesn’t show the source of infection. Where did the family member get infected? #ContactTracing should joint the dots... 2/n
This piece on #SARSCoV2 viral load in children and adults has been highly influential.
Can you extrapolate from “Data on viral load” that “we have to caution against an unlimited re-opening of schools and kindergartens in the present situation”
I have serious concerns. 1/7
There are two issues: science and politics
On the science 1. There is no methods section about how study population was selected and who they represent
– yes, I know it is a bunch of samples tested in a virology lab - with no denominators about how many samples tested by age 2/7
2. The very low number of samples from children already says a lot about selection into the study. There is no information about their clinical characteristics, stage of infection, etc.
And unequal numbers across the groups makes them very difficult to compare, even visually 3/7