The study marks the first large-scale study of its kind, researchers said. The study was conducted by identifying antibodies in healthy individuals through a finger prick test, which indicated whether they had already contracted and recovered from the virus. At the time of the study, Santa Clara county had 1,094 confirmed cases of Covid-19, resulting in 50 deaths. But based on the rate of people who have antibodies, it is likely that between 48,000 and 81,000 people had been infected in Santa Clara county by early April – a number approximately 50 to 80 times higher. That also means coronavirus is potentially much less deadly to the overall population than initially thought. As of Tuesday, the US’s coronavirus death rate was 4.1% and Stanford researchers said their findings show a death rate of just 0.12% to 0.2%. The study has been interpreted by some to mean we are closer to herd immunity – the concept that if enough people in a population have developed antibodies to a disease that population becomes immune – than expected. This would allow some to more quickly get back to work, a strategy currently being deployed in Sweden. April 4 https://www.stanforddaily.com/2020/...ers-test-3200-people-for-covid-19-antibodies/ April 17 https://www.theguardian.com/world/2...s-far-more-widespread-than-previously-thought
There must be thousands of studies by now with each study showing an absolutely different outcome. Honestly can't believe anything you read anymore.
Thank you, that is what statisticians on statnews posited on March 14. Walter Duranty toilet newspaper is pulling its tail yet another time.
Only about 1.5% of people tested in this study had antibodies. Would equate to 5 million people in the US. Still leaves over 320 million who havent been infected yet.
Just 50 people out 3,300 in this study had antibodies. That is 1.5% of the sample. But some how they fiddle with the numbers and get it up to over 4%. Then others use that to show covid is being under reported by a factor 80. The group's analysis indicated 50 blood samples from the study, or 1.5% of the total, tested positive for either immunoglobulin M (IgM), the antibody that the body produces when the infection occurs and that disappears after several weeks, or immunoglobulin G (IgG), the antibody that appears later, stays longer and provides the basis for immunity. After weighting to match the county population by race, sex and ZIP code, the prevalence rate was adjusted to 2.81%, according to the study. Other factors, including uncertainties relating to the sensitivity of the tests that were used, contributed to the range of up to 4.16%. https://paloaltoonline.com/news/202...ents-have-likely-been-infected-by-coronavirus
Plus there were other issues with the study, which indicate that even a low number like 50 out 3300 might still be too high. https://medium.com/@balajis/peer-review-of-covid-19-antibody-seroprevalence-in-santa-clara-county-california-1f6382258c2
In other words: we don't know, we are scared and we want them guarantees... exactly what Dr Fauci and the CDC sages say
Its amazing how they can go from 50 out 3,300 were positive in this test sample. To giving the impression that 50 million people in the US might already be infected.