ICYMI - our systematic review of COVID-19 IFR is now published in the IJID (as a pre-proof) https://www.sciencedirect.com/science/article/pii/S1201971220321809 …pic.twitter.com/GwiD8i3HTC
Epidemiologist. Writer (Guardian, Observer etc). "Well known research trouble-maker". PhDing at @UoW Host of @senscipod Email gidmk.healthnerd@gmail.com he/him
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ICYMI - our systematic review of COVID-19 IFR is now published in the IJID (as a pre-proof) https://www.sciencedirect.com/science/article/pii/S1201971220321809 …pic.twitter.com/GwiD8i3HTC
Can you think of another subject where the effect size magnifies with the quality of the research model?
I'm not sure I'd say that the effect size magnifies here - what's happening is that better studies capture a lower seroprevalence, which in turn drives the IFR up. Bad serosurveys tend to oversample people who've been sick for whatever reason
It's also likely that IFR is not a constant (regionally, temporally), so we are looking at a complex reality, aren't we?
Definitely. This paper is actually a bit outdated now (the vagaries of academic publishing!) and our newer preprint on age-stratified IFR a bit more informative
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