Is there a trustworthy confusion matrix on for all the various testing methods? The drive to quote “cases” in a hysterical media seems to be misleading without it. Also a definition of “cases” seems to vary widely.
My other issue is a net deaths versus dyeing from other things previously. Is there a good metric seeing as there is a economic reason to label deaths for Covid over the other usual suspects.
There was a preprint a while back suggesting that we should use the geometric mean of the positivity rate and cases per 100K to estimate actual prevalence. That’s the heuristic I’ve been using.
For deaths, I’m not sure what you’re asking. We already track excess deaths.
Is there a trustworthy confusion matrix on for all the various testing methods? The drive to quote “cases” in a hysterical media seems to be misleading without it. Also a definition of “cases” seems to vary widely.
My other issue is a net deaths versus dyeing from other things previously. Is there a good metric seeing as there is a economic reason to label deaths for Covid over the other usual suspects.
There was a preprint a while back suggesting that we should use the geometric mean of the positivity rate and cases per 100K to estimate actual prevalence. That’s the heuristic I’ve been using.
For deaths, I’m not sure what you’re asking. We already track excess deaths.