Posted on 04/17/2020 11:02:46 AM PDT by a little elbow grease
If SARS-Cov-2 is already endemic in the population, there is nothing we can do to stop it but no great reason to try to stop it, either
Another day, and yet more evidence has appeared that could indicate the number of people who have been infected with SARS-CoV-2, the virus which causes COVID-19, might be vastly higher than official figures suggest. This time a Californian study suggests the figure in one county could be more than 50 times the number who knew they had had the virus.
A team from Stanford University and other colleges recruited volunteers in Santa Clara County via Facebook adverts and produced a sample of 3,000 representatives of the county as a whole. They were then invited for blood tests to detect the presence of antibodies to the virus. The result was positive in 1.5 percent of cases. Adjusting for age, gender and ethnicity the results suggest that 2.8 percent of people in the county had already had the virus. That might not seem many, but at the time of the study on April 4 and 5 only 1,094 people in the county were recorded as having the virus. The study suggests the real figure is between 48,000 and 81,000.
Like many studies which have been pre-published in order to aid understanding of the COVID-19 pandemic, the paper produced by the Stanford-led team has not yet been peer-reviewed. Moreover, it took place in a part of the United States where very few people have so far tested positive with the virus. It would be interesting to see the experiment repeated in New York City, where recorded infections are far higher.
(Excerpt) Read more at spectator.us ...
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Liz Wheeler is repeatedly all over this matter on 'The Tipping Point' on OANN.
She talks fast, but she's smart as can be.
The reason the false positive rate is important here is that if you test 1,000,000 who don’t have CV with a 1% false positive rate you will claim that 10,000 people have it when none do. The false negative rate is an issue in containment, when you are trying to isolate everyone with the disease. It’s a problem, but a different problem in the context of the current article.
Liz Wheeler (OAN) talks about this nearly every night.
The test kit used in this study (Premier Biotech, Minneapolis, MN) was tested in a Stanford laboratory
prior to field deployment. Among 37 samples of known PCR-positive COVID-19 patients with positive
IgG or IgM detected on a locally-developed ELISA test, 25 were kit-positive. A sample of 30 pre-COVID
samples from hip surgery patients were also tested, and all 30 were negative. The manufacturers test
characteristics relied on samples from clinically confirmed COVID-19 patients as positive gold standard
and pre-COVID sera for negative gold standard. Among 75 samples of clinically confirmed COVID-19
patients with positive IgG, 75 were kit-positive, and among 85 samples with positive IgM, 78 were kitpositive. Among 371 pre-COVID samples, 369 were negative. Our estimates of sensitivity based on the
manufacturers and locally tested data were 91.8% (using the lower estimate based on IgM, 95 CI 83.8-
96.6%) and 67.6% (95 CI 50.2-82.0%), respectively. Similarly, our estimates of specificity are 99.5% (95
CI 98.1-99.9%) and 100% (95 CI 90.5-100%). A combination of both data sources provides us with a
combined sensitivity of 80.3% (95 CI 72.1-87.0%) and a specificity of 99.5% (95 CI 98.3-99.9%).
My wife and I (70 and 73) are feeling a little weird these days too in PA.
Precisely, my good FRiend.
I've run hundreds (thousands?) of various immunoassays, and am very familiar with the cross-reactivity problems that almost all antibodies have.
How many immunoassays have you run?
The opposite of what our caretaker overlords want. They push us to get let sunlight by convincing people that with even moderate exposure to the sun and you will get skin cancer and ride more mass transit to save the planet.
Nope. Wrong again.
“Cuomo is a mouthy ass and an embarrassment to Italians...”
Which Cuomo - Guido or Fredo? Not much difference that I see.
INFs Pres Free High Dose (FLUZONE) (influenza) Administered 9/26/2019
I would be interested to know the vaccination history of every COVID positive patient with more severe symptoms, especially the High Dose as you received as these are specifically limited to 65+ year olds.
Can I ask you a question? I'm curious why you would get a vaccination before you know whether you already have immunity to the flu?
Do you realize that your doctor can order testing for Influenza A and B IgG/IgM antibody?
If you're not a diagnosed diabetic, would you take a shot of insulin (if it was offered without prescription) just in case you might develop it? Or would you take chemotherapy just because you have a family history of cancer?
I don't know what kind of relationship you have with your GP but if it is open and honest I would ask him/her why they are advising you get a flu shot or any other vaccination without first finding out whether you really need it.
Hope I'm not offending, certainly not my intention.
Regards!
It’s good to know both numbers when comparing tests.
Plus to get a good statistical number for an individual, one may have to take a number of tests to get to the desired degree of confidence.
There is not accurate antibody test as of yet
Dr. Yvonne Maldonado, a Stanford professor of pediatric infectious diseases and health research and policy, said during the April 9 virtual town hall that she believes the negative predictive value of the Stanford test is between 95% and 99%."If you get a negative test, you can be 95% to 99% certain that the test is accurate," Maldonado said.
I have not found the Positive Predictive Value anywhere. With even a 1% false positive rate and only 1.5% positive, then up to 66% of the positive tests could be false positives. When evaluating such a low rate of infection, your test has to have extreme accuracy.
I read that they used 2 year old stored blood as a negative control group, but have not seen any any info on the positive control group. I assume they used confirmed "recovered" patient blood, but that could vary significantly from patient to patient.
We will have to see just how accurate the study is. I know we were hoping for much higher than 1.5%. The study was published here
https://www.medrxiv.org/content/10.1101/2020.04.14.20062463v1.full.pdf
The new narrative is things won’t EVER get better and we need more time.......into the heart of the Presidential election.
p
So, does this mean herd immunity is farther along than previously thought?
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