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originally posted by: Asmodeus3
originally posted by: chr0naut
originally posted by: Asmodeus3
Adding on the above comment.
The CFR is not a good indicator eventhough it describes the ratio of deaths to the actual confirmed cases.
The IFR is the most important from all and much harder to estimate as it describes the ratio of deaths to the total number of infected individuals.
The use of statistics play an importany role in determining the IFR. Surveillance and seroprevalence data mainly.
Seroprevalence is the analysis of blood borne factors of disease in blood bank samples.
For diseases that aren't blood borne, these factors would not be particularly clear indicators.
Also, how much seroprevalence data do we have from 1918 or even the following decade of the 1920's?
In 1918, they couldn't genotype a pathogen. They definitely couldn't see a virus under an optical microscope. Electron microscopy and X-ray crystallography were half a century in the future. And there's no way that they could preserve biological samples from then, so that we could assay them with modern technology.
The only way they could define a disease at the time, was symptomatically - which gets back to actual cases under clinical care.
They could count cases by symptoms, and death of a patient is fairly obvious.
They usually did keep quite meticulous notes about hospitalized patients in 1918, but Florence Nightingale hadn't even been born then, so it was nowhere near as systematic or rigorous as modern medicine.
That is why CFR is a good measure and IFR is a guess, especially so for the 1918 flu.
Here goes again a refuted argument!
CFR isn't good at all.
IFR is what you are looking for. Which is much harder to estimate.
originally posted by: chr0naut
originally posted by: Asmodeus3
originally posted by: chr0naut
originally posted by: Asmodeus3
Adding on the above comment.
The CFR is not a good indicator eventhough it describes the ratio of deaths to the actual confirmed cases.
The IFR is the most important from all and much harder to estimate as it describes the ratio of deaths to the total number of infected individuals.
The use of statistics play an importany role in determining the IFR. Surveillance and seroprevalence data mainly.
Seroprevalence is the analysis of blood borne factors of disease in blood bank samples.
For diseases that aren't blood borne, these factors would not be particularly clear indicators.
Also, how much seroprevalence data do we have from 1918 or even the following decade of the 1920's?
In 1918, they couldn't genotype a pathogen. They definitely couldn't see a virus under an optical microscope. Electron microscopy and X-ray crystallography were half a century in the future. And there's no way that they could preserve biological samples from then, so that we could assay them with modern technology.
The only way they could define a disease at the time, was symptomatically - which gets back to actual cases under clinical care.
They could count cases by symptoms, and death of a patient is fairly obvious.
They usually did keep quite meticulous notes about hospitalized patients in 1918, but Florence Nightingale hadn't even been born then, so it was nowhere near as systematic or rigorous as modern medicine.
That is why CFR is a good measure and IFR is a guess, especially so for the 1918 flu.
Here goes again a refuted argument!
CFR isn't good at all.
IFR is what you are looking for. Which is much harder to estimate.
So, how many cases, worldwide, were there of the 1918 flu?
Even the death estimates from the 1918 flu over three years (something fairly easy to identify) vary from 17 million to 100 million. That's a big discrepancy. Now apply the same sort of error ratios to the estimated range of infection. Even as an estimate, it is fairly dubious.
What it does show is that both the numerator and the denominator in IFR estimates are wildly inaccurate. And therefore not a trust-able value.
But we do have a far more accurate and trust-able number in the CFR. Especially when most of the people who died from the 1918 flu, who had it seriously enough to cause death, would have been hospitalized. Ditto for COVID-19 patients.
I understand that for epidemiology, under modern conditions, IFR is important. But how much mathematical epidemiology existed in 1918?
originally posted by: Thrumbo
a reply to: ColeYounger
6.5 million people died from covid-19 globally,
originally posted by: thethinkingman
a reply to: NorthOfStuff
somehow these people dont understand 50 million is MORE than 6.5 million.....
they read a webpage they dont understand, without thinking about any of the information what so ever.
This is basically how so many people got shot up with a untested drug and are now a guinea pig in a world wide experiment.