Sarah Jarvis saying that last year, 75% of Brazil population showed antibodies. Now look at the state of them. This thing is only just starting.
Pretty sure that was just Manaus, they thought that they had cracked it and basically went back to normal last December opening everything up then the P1 variant kicked in and devastated the place and Brazil.
"Unherd
The initial title of a non-peer reviewed study released in pre-print in September 2020, Covid-19 herd immunity in the Brazilian Amazon, was, in hindsight, premature.
1 Why the conclusion was so wrong is less certain, and not just down to overly optimistic assumptions.
For one thing, using blood donors as a sample may have skewed the results. “Donors are a special subset of the population,” says Paulo Lotufo, an epidemiologist at the University of São Paulo. They are more likely to spend time outside the home and work in jobs that put them at higher risk of contracting covid-19, he says. Lotufo believes the proportion of residents who have antibodies was likely lower, and that false confidence created by the first study played a role in causing the second surge in cases.
But several leading epidemiologists, while acknowledging the study’s limitations, believe significant inaccuracies are unlikely.
“It’s possible that the modelling is wrong, and seroprevalence (the amount of antibodies measured in the blood serum as a marker of pathogen exposure, used to estimate the proportion of the population that has been infected) in people is actually lower, ” says William Hanage, an epidemiologist at Harvard. “But I don’t think it’s possible that they were that much lower.”
Applying the expected fatality rate of covid-19 in Manaus with the study’s estimated 76% seroprevalence rate would also result in around the same amount of deaths that have been reported there, Hanage and others point out. “It’s likely that a large proportion of the population has been infected,” concludes Deepti Gurdasani, an epidemiologist at Queen Mary University of London.
The donors mirror the general population well in age and income, contends Nuno Faria, an Oxford epidemiologist who co-led the study. “Excluding samples from people with covid-19 symptoms may have actually resulted in an undercount of antibodies,” he says.
So if the majority of the population had already been infected, and antibody levels really were that prevalent, how could the levels of infection have shot back up?"
https://www.bmj.com/content/372/bmj.n394