calm, sweet, transparent, compassionate stanford scientist w santa clara covid study
science based addressing all aspects, good questions posed and thorough responses:
what's the actual fatality rate?
what happened and where do we go now?
how did other countries handle this and how did they fare.
time to breath out. jude
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Below is a full interview with Dr. John P.A. Ioannidis, a professor of medicine and epidemiology at Stanford University. Ioannidis, and several other academics from the Stanford University School of Medicine recently published a [/URL]study titled “COVID-19 Antibody Seroprevalence in in Santa Clara County, California.” In the study the authors point out that “many epidemic projections and policies addressing COVD-19 have been designed without seroprevalence data to inform epidemic parameters.”
The study, based on its findings, suggested that the number of infected people is somewhere between 50 and 85 times more compared to what’s been thought and compared to what has been documented so far. Immediately that means the infection fatality rate, the chance of dying, or probably of dying if you are infected diminishes by 50 to 85 fold because the denominator in the calculation becomes 50 to 85 fold bigger. Their data suggests that COVID-19 has an infection fatality rate that is in the same ball park as seasonal influenza, and they hypothesize that this is probably the case all over the world.
In the interview below Ioannidis goes into more detail about the study, and about COVID-19 in general. Although he does refer to the fear and hysteria that has accompanied the epidemic, he doesn’t downplay the seriousness of it. The interview was conducted by Journeyman Pictures, as part of their series titled “Perspectives on the Pandemic.”
This article (A Full Interview With Stanford’s Dr. John Ioannidis About COVID-19 “Hysteria”) was originally created for Collective Evolution and is published here under Creative Commons.
