Covid-19 IFR from a Bayesian point of view (part 2)

In my last post, I proposed to improve on covid-19 IFR estimates in the literature. Mathematically, I had a rather nice model and the code would have been straightforward too.

But – I didn’t factor in how hard it would be to find raw data. So I gave up. My sincere apologies. Maybe one day someone will build a database of Covid-19 deaths on which “figuring out how many people died in age group X of country Y by date Z” is just an SQL query.


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