Bletchleyite
Veteran Member
So one thing that seems clear is that so far we don't have reliable antibody tests nor any certainty about immunity, so releasing antibody tests into the community might do more harm than good, as people who think they're immune but aren't take big risks and end up in intensive care.
But what I don't understand is why a test with a known level of error, even if it's quite high (I think we are generally talking 70-80% reliable, so 20-30% error), can't be used without telling people their result to do a sample-based analysis of how many cases are in the field, which is still useful to know? Error can, after all, be brought into the calculation of an overall figure, and a figure for the population of % previously infected could still be useful even with that large level of error?
Any thoughts on why this is seemingly not being done? Or am I missing something?
But what I don't understand is why a test with a known level of error, even if it's quite high (I think we are generally talking 70-80% reliable, so 20-30% error), can't be used without telling people their result to do a sample-based analysis of how many cases are in the field, which is still useful to know? Error can, after all, be brought into the calculation of an overall figure, and a figure for the population of % previously infected could still be useful even with that large level of error?
Any thoughts on why this is seemingly not being done? Or am I missing something?