...The woefully inadequate data we have so far, the meta-research specialist argues, indicates that the extreme measures taken by many countries are likely way out of line and may result in ultimately unnecessary and catastrophic consequences. Due to extremely limited testing, we are likely missing “the vast majority of infections” from COVID-19, he states, thus making reported fatality rates from the World Health Organization “meaningless.”Quoted at The Wire. A link to his entire essay is found there.
“Patients who have been tested for SARS-CoV-2 are disproportionately those with severe symptoms and bad outcomes,” Ioannidis explains. With very limited testing in many health systems, he suggests, that “selection bias” may only get worse going forward.
Ioannidis then zooms in on the “one situation” where “an entire, closed population was tested”: the Diamond Princess cruise ship’s quarantined passengers. While the fatality rate was 1.0%, he points out, the population was largely elderly, the most at-risk demographic. Projected out onto the age structure of the U.S. population, he calculates, the death rate is more like 0.125%, with a range of 0.025% to 0.625% based on the sample size.....
Thursday, March 19, 2020
Kung Flu NOT "Doom" Part Two
Stanford prof of medicine, biomedical data science, statistics, and epidemiology and population health......decidedly more qualifications than those of Tokin'Tony the Tavern-Closer:
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