by eddieblasphemy
Pic 1 – Before Reporting Change = 1 case
Pic 2 – After Reporting Change = 16 casesNothing changed except new definitions.
Pic 3 – Admission pic.twitter.com/JwT4kUzPkZ
— TheLastRefuge (@TheLastRefuge2) July 3, 2020
Some interesting bits:
▪ False positive risks, particularly with tests for Immunoglobulin M (IgM) and potential cross- reactivity with common cold coronaviruses (e.g. HKU1, NL63, OC43, 22
A “positive” test is exceptionally difficult to interpret because the performance of these tests is not well known. For some assays both sensitivity and specificity may be poor, or at the very least undefined.undefined.
- Some FDA-authorized COVID-19 antibody tests are estimated to have 96-98% specificity, which would mean that a positive test result is more likely a false-positive result than a true positive result if the prevalence or pretest probability is 5% or less.
Accompanying article: www.google.com/amp/s/amp.theatlantic.com/amp/article/611935/
Related:
#COVID19 deaths continue to fall, despite an increase in new “cases”. There’s no justification for continued shutdowns, mask mandates, etc. #FactsNotFear #ReturnToNormal. pic.twitter.com/2RKIhPF3rn
— Kelly Victory MD (@DrKellyVictory) July 2, 2020