Posted on 04/07/2020 10:55:13 PM PDT by Vendome
What if the CDC were only reporting the CCP-19 exact numbers(supposedly) of those "They Tested" who are infected?
See, infected might mean this virus is just on your skin or you may be asymptomatic.
Would they be lying? Well, no. Not in a literaly sense but, if you look at how they determine how many sick and dead people get, had or died from influenza you might think "These guys must scientists!"
Well, they are epidemiologists and a bit like biologists in their methodology.
This going to be over simplified
That is: They make determinations about populations of whatever a thing is by a technique known as "sampling"
For instance, if a biologist counts 100 bears living in a 200-square mile area, they could could predict that there are 1000 bears living in 2000 square miles. This is a simple ratio.
Epidemioligists do the same thing. They take a known quantity and extrapolate that to another known larger quantity.
In fact, look here: https://www.sccgov.org/sites/phd/DiseaseInformation/novel-coronavirus/Pages/dashboard.aspx
That is Santa Clara county. They tell you
11782 tests were completed of those 1285 were infected resulting in 43 deaths
Santa Clara County has a population of 1.2 million so if you can use numbers the way an epidemiologist would and using "simple sample method"
Does that mean 1,200,000 / 11782 = 130,877 people are infected (estimated/guess)?
and the death rate in percentage of those infected with CCP-19 is .03%
???
*Because influenza surveillance does not capture all cases of flu that occur in the U.S., CDC provides these estimated ranges to better reflect the larger burden of influenza. These estimates are calculated based on CDC’s weekly influenza surveillance data and are preliminary.
**Influenza testing across the United States may be higher than normal at this time of year because of the COVID-19 pandemic. These estimates may partly reflect increases in testing in recent weeks and may be adjusted downward once the season is complete and final data for the 2019/20 season are available.
This web page provides weekly, preliminary estimates of the cumulative in-season numbers of flu illnesses, medical visits, hospitalizations, and deaths in the United States. CDC does not know the exact number of people who have been sick and affected by influenza because influenza is not a reportable disease in most areas of the U.S. However, CDC has estimated the burden of flu since 2010 using a mathematical model that is based on data collected through the U.S. Influenza Surveillance System, a network that covers approximately 8.5% of the U.S. population (~27 million people).
The estimates of the cumulative burden of seasonal influenza are subject to several limitations.
First, the cumulative rate of laboratory-confirmed influenza-associated hospitalizations reported during the season may be an under-estimate of the rate at the end of the season because of identification and reporting delays.
Second, rates of laboratory-confirmed influenza-associated hospitalizations were adjusted for the frequency of influenza testing and the sensitivity of influenza diagnostic assays. However, data on testing practices during the 2019-2020 season are not available in real-time. CDC used data on testing practices from the past influenza seasons as a proxy. Burden estimates will be updated at a later date when data on contemporary testing practices become available.
Third, estimates of influenza-associated illness and medical visits are based on data from prior seasons, which may not be accurate if the seriousness of illness or patterns of care-seeking have changed.
The cumulative burden of influenza is an estimate of the number of people who have been sick, seen a healthcare provider, been hospitalized, or died as a result of influenza since October 01, 2018. CDC does not know the exact number of people who have been sick and affected by influenza because influenza is not a reportable disease in most areas of the United States. However, these numbers are estimated using a mathematical model, based on observed rates of laboratory-confirmed influenza-associated hospitalizations.
Preliminary estimates of the cumulative burden of seasonal influenza during the 2019-2020 season in the United States are based on crude rates of laboratory-confirmed influenza-associated hospitalizations, reported through the Influenza Hospitalization Surveillance Network (FluSurv-NET), which were adjusted for the frequency of influenza testing during recent prior seasons and the sensitivity of influenza diagnostic assays. Rates of hospitalization were then multiplied by previously estimated ratio of hospitalizations to symptomatic illnesses, and frequency of seeking medical care to calculate symptomatic illnesses, medical visits, and deaths associated with seasonal influenza, respectively.
The estimates of cumulative burden of seasonal influenza are considered preliminary and may change each week as new laboratory-confirmed influenza-associated hospitalizations are reported to CDC. New reports include both new admissions that have occurred during the reporting week and also patients admitted in previous weeks that have been newly reported to CDC.
The number of hospitalizations estimated so far this season is lower than end-of-season total hospitalization estimates for any season since CDC began making these estimates. This table also summarizes all estimated influenza disease burden, by season, in U.S. from 2010-11 through 2017-18.
I believe it was Mark Twain who used to say “There are lies, damn lies, and statistics”
Now, overlay the several known viral patterns that occur simultaneously and tell us what the big overall n=fatalities is annually.
Those who would die if one or more of the several competing risks cannot be counted more than once. Soif I am at risk of death for one or more, it is likely that I will die of one or the other...
N cannot exceed 100%.....
If flu goes down, sars can kill me, or some other risk, but you can only count me once....
could you provide the CDC link for all the stuff you copied into the text of your post.
For outside FR, I would rather share that link, than copy and past your post.
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