un-nerfed link: https://old.reddit.com/r/COVID19/comments/hdxwf5/intrafamili...
In Brooklyn and Queens between 0.2 and 0.25 percent of the total population (!) died.
So this sort of puts a floor on the IFR and 0.2 is not that far off from the IFR determined through serological testing – maybe a half or a third of that.
So yeah, maybe there is an effect – but can it really be a drastic effect? I don’t think there are orders of magnitude of difference in there, maybe a difference of a few percent (e.g. an IFR of 0.45 instead of 0.5 percent)?
My working hypothesis has been an IFR of around 0.5% for a pretty long time, which seems pretty realistic to me.
If we have a higher immune population than we think, NYC might have passed the worst, if not millions will die in a second wave (though there are no signs of that yet). So this does matter.
As many European countries show (including Germany, where the infected population is very low, much lower than the European average, much much lower than Italy or Spain) it’s very possible to keep the epidemic at a low, simmering level without extremely drastic lockdowns.
Given a probably pretty low K value it’s also often sufficient to not be super-efficient about prevention. Some efficiency goes a long way.
It's very hard to know the cause of the dramatic decline in nations that were hit hard, so I don't think we can attribute it as simply as that. It could be immunity we're unable to test (T-cell), weather meaning more are outdoors, awareness and measures like distancing and masks, or a mix of many things. We just don't know at this stage.
I'd note that Germany is still seeing outbreaks, and they were hit less hard in the initial wave in Europe. Italy in contrast, which has relaxed restrictions, is seeing very low levels of deaths and cases.
Any potential people with covid19 but no symptoms would be above and beyond what’s being raised here.
So somebody who had no exposure to COVID-19 could test positive.
Afaik that's the main drawback of the antibody test.
A positive test result is much more reliable than a negative result.
I guess it depends on what you mean by "significant amount", though.