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re: Covid 19: misunderstandings in statistics, ascertainment bias (more testing= more "cases")

Posted on 4/17/20 at 1:38 pm to
Posted by ThinePreparedAni
In a sea of cognitive dissonance
Member since Mar 2013
11100 posts
Posted on 4/17/20 at 1:38 pm to
https://www.cnbc.com/2020/04/17/santa-clara-covid-19-antibody-study-suggests-broad-asymptomatic-spread.html

quote:

Antibody study suggests Covid-19 could be far more prevalent in the Bay Area than official numbers suggest
PUBLISHED FRI, APR 17 20201:35 PM EDTUPDATED 21 MIN AGO
Christina Farr
@CHRISSYFARR


quote:

In a study published on Friday, the researchers, many of whom hailed from Stanford University, noted that the results suggest that Covid-19 could be far more widespread than the official counts suggest.

Specifically, they estimate that between 2.5% and 4.2% of people in Santa Clara County may have antibodies. (The range is a result of different models used to extrapolate the test results to a representative population.)

“These prevalence estimates represent a range between 48,000 and 81,000 people infected in Santa Clara County by early April, 50 (to) 85-fold more than the number of confirmed cases,” the authors wrote.


Suprises no one here...

Again, does our current response match the threat being posed...

The folks in Sweden (who are typically held up as models to follow when discussing health policy) are laughing at us...

What is going on here...
Posted by ThinePreparedAni
In a sea of cognitive dissonance
Member since Mar 2013
11100 posts
Posted on 4/20/20 at 8:15 am to
https://m.youtube.com/watch?v=jGUgrEfSgaU

quote:

Dr. John Ioannidis Announces Results of COVID-19 Serology Study
62,758 views 2K 67 Share Save Report Journeyman Pictures 1.42M subscribers SUBSCRIBE

Published on Apr 19, 2020

Dr. John Ioannidis announces the results of his serology study in Santa Clara, California. Full Perspectives on the Pandemic interview coming soon! "Our Santa Clara seroprevalence study is now out. It shows 50-85 times underestimated number of infections, therefore 50-85 times overestimated infection rate fatality. True infection rate fatality is in the ballpark of seasonal influenza." To read the study, head here: https://www.medrxiv.org/content/10.11...
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