So how many positive cases of flu are there??? What is your denominator??????? And WHY don’t they show the number of laboratory confirmed ‘positive cases’ in all the CDC data? Where is that number?
Look at my March 21 prediction that everyone said was crazy Corona Virus Death Rate will be about .6% to .7% Look at the WHO's rate in August, The WHO reported serology testing for three locations in Europe (with some data through 2 June) that show IFR estimates converging at approximately 0.5-1%. Looking through this thread, it is really amazing how angry some people got.
Which begs the question, what is all the fuss about? It looks like the rate went from %3.4 to %.2 under Trump's watch.
Once again you are confusing IFR and CFR. The CFR is the proven COVID-19 death rate. The number of cases are a known factor. The current global COVID CFR (Case Fatality Rate) is 3.0%. All medical studies of a disease are based on the CFR since it is a known proven value. It is the "Corona Virus Death Rate". The IFR (Infection Fatality Rate) is merely an estimate. The number of infections is not known and is merely an estimate. So the denominator in the IFR calculation is not proven. The current COVID IFR estimate ranges from 0.2% to 0.8%.
It looks like even my estimate was high compared to what the death rate actually is. Still closer than these clowns that were claiming the death rate was 3.4%.
As carefully explained many times previously -- the proven global Case Fatality Rate (CFR for COVID is 2.5% currently. The estimated Infection Fatality Rate (IFR) is between 0.2% and 0.8%. The estimated IFR in the U.S. is currently around 0.6%.
Please stop the nonsense. You are completely ignorant. Early data from China suggested a 3.4% case fatality rate2 and that asymptomatic infections were uncommon,3 thus the case fatality rate and infection fatality rate would be about the same. Mathematical models have suggested that 40–81% of the world population could be infected,4,5 and have lowered the infection fatality rate to 1.0% or 0.9%.5,6 Since March 2020, many studies have estimated the spread of the virus causing COVID-19 – severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) – in various locations by evaluating seroprevalence. I used the prevalence data from these studies to infer estimates of the COVID-19 infection fatality rate. Objective To estimate the infection fatality rate of coronavirus disease 2019 (COVID-19) from seroprevalence data. Methods I searched PubMed and preprint servers for COVID-19 seroprevalence studies with a sample size 500 as of 9 September, 2020. I also retrieved additional results of national studies from preliminary press releases and reports. I assessed the studies for design features and seroprevalence estimates. I estimated the infection fatality rate for each study by dividing the number of COVID-19 deaths by the number of people estimated to be infected in each region. I corrected for the number of antibody types tested (immunoglobin, IgG, IgM, IgA). Results I included 61 studies (74 estimates) and eight preliminary national estimates. Seroprevalence estimates ranged from 0.02% to 53.40%. Infection fatality rates ranged from 0.00% to 1.63%, corrected values from 0.00% to 1.54%. Across 51 locations, the median COVID-19 infection fatality rate was 0.27% (corrected 0.23%): the rate was 0.09% in locations with COVID-19 population mortality rates less than the global average (< 118 deaths/million), 0.20% in locations with 118–500 COVID-19 deaths/million people and 0.57% in locations with > 500 COVID-19 deaths/million people. In people < 70 years, infection fatality rates ranged from 0.00% to 0.31% with crude and corrected medians of 0.05%.