Stanford Study concurs with CDC's estimated Covid IFR of 0.26%
"While COVID-19 is a formidable threat, the fact that its IFR is typically much lower than originally feared, is a welcome piece of evidence. The median of 0.26% found in this analysis is very similar to the estimate recently adopted by CDC for planning purposes. Estimates of IFR inferred from seroprevalence studies tend to be much lower than original speculations made in the early days of the pandemic.
23 studies were identified with usable data. IFR ranged from 0.02% to 0.86% (median 0.26%) and corrected values ranged from 0.02% to 0.78% (median 0.25%). Among people <70 years old, IFR ranged from 0.00% to 0.26% with median of 0.05% (corrected, 0.00-0.23% with median of 0.04%). Most studies were done in pandemic epicenters and the few studies done in locations with more modest death burden also suggested lower infection fatality rates.
The fact that IFR can vary substantially across different locations, population age structure and case-mix of patients as well as multiple other factors also creates additional ground for more evidence-based and precise management strategies."
Profit motives are always at play and "probable" deaths, while perhaps helpful, is not verified scientific data and is not being differentiated publicly. Neither is CFR and IFR.
Autopsies and Covid tests are not being done to verify the of cause of death and it is distorting the death rate. To what extent is anyone's guess.
Study by: Departments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science, and of Statistics and Meta-Research Innovation Center at Stanford (METRICS)
www.medrxiv.org/content/10.1101/2020.05.13.20101253v2.full.pdf
CDC data for planning scenarios:
www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
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