The Gangelt study was used by flu bros and herd immunity via infection enthusiasts to sow doubt and discontent with respect to the public health interventions. The delay and dilution of those measures in the early stages of the almost certainly cost lives.
Simply shocking. How on earth is it possible that @NatureComms publishes a highly criticized study with a flawed estimate of the IFR that is based on 7 (!) deaths only, when there are several national seroprevalence studies?https://twitter.com/hristio/status/1331968923558944769 …
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*of the epidemic
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So if these delayed outcomes are included, would scale the IFR estimate up to 0.35% x 13/7 = 0.65%?pic.twitter.com/xKyaTbBwpY
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Yes. 13/1956 = 0.66% and the binomial confidence interval would be 0.35% - 1.13%. But they can’t even get that right.
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Another garbage IFR meta-analysis, toss it in the circular file next to the one from Ioannidis.
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Could you elaborate on the loannidis one? It’s being cited in arguments against measures again.
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Given the importance of such studies and their public perception it would be good if some other researchers would adress their critic directly to the editors, so that they can publish it.
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@medwatch_de did adress questions to him and another author, they declined to answer afaik.
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The slow pace of science? It's definitely outdated but so was our meta-analysis of IFR by the time it was actually published in IJID The flaws, of course, are a different story, that's not great
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You're a gentleman, but in this case I am afraid lesser motives can be assumed concerning Prof. All clear also known as Prof. Idle, because he stated in German Television it would be idle, pointless to look at the Covid fatalities numbers. ...Pheew!
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Wydaje się, że ładowanie zajmuje dużo czasu.
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