This seems like it would complicate the tracing of clusters (in e.g. households), especially when there are delays in getting a test prescribed, scheduled, processed, etc.
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The error bars make it feel all ~sciencey~
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well. if it were MY PCR, no. no I wouldn't. No way I'm still contagious.
End of conversation
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Wouldn't the better graph be "days after infection?"
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Big implications for the debate on "false positive" tests with high Ct values.
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Eeesh. This needs SO much context... This effectively represents rate of turning into very low positive due to viral clearance. This graph, IMO, shows the issues we see with PCR If you are so low that you're fluctuating between +ve and -ve... then it's not really a relevant pos
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Agreed. The data are useful though, for those of us trying to model the early stages of testing.
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Thanks! One interesting aspect of the study is that it looks at series of tests to the same patient. This makes one wonder if some of the negative results observed mid way (e.g. at 9, 14, 21 days) could be an expression of long covid 'waves'.
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I hear lots of anecdotal information about this, in particular about households where all were sick with the same symtoms but one person tests negative several times while the others tested positive.
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