Posted on 01/02/2021 9:50:19 AM PST by daniel1212
Every day, states report on how many new hospitalizations they had for covid patients. During September and October, as cases were rising, we could reliably predict how many people would be hospitalized based on the number of new diagnoses. Clinically, we know that after someone is diagnosed, it usually takes a few days before they get sick enough to be hospitalized....
But as we entered November, something began to change. For instance, on Nov. 1, the Covid Tracking Project’s seven-day average showed about 80,000 new cases – which we would predict should lead to about 2,800 new hospitalizations a week later, by Nov. 8. Instead, there were 2,600, a little fewer than expected. On Nov. 15, we had 146,000 new cases, which should have resulted in about 5,100 new hospitalizations by Nov. 22. However, there were fewer than 3,700. This pattern of declining rates of hospitalization continued through the end of November.
What is happening is pretty simple: As hospitals fill up, they are admitting fewer and fewer people...What is happening is that patients who would have been admitted to hospitals earlier in the year are not being admitted now. Indeed, by my best calculation, between a third and half of covid patients who would have been admitted in the beginning of October are now being sent home instead.
What’s their explanation for the declining death rate? More people refusing to die as commanded?
Did you see the story out of England about the woman that got arrested? She went into a “packed” hospital and filmed scenes of the empty hallways and rooms.
That's a temporary situation that can easily be fixed when Biden Kamala takes power.
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and as an added courtesy I can inform you you are 1 of 2 in the drawing which will be drawn in the next 15 minutes....Please send me your phone # and have a valid credit card at the ready...ohhh..and thanks for the tip on the tree epidemic! and have a Happy New Year!
I understood that, but understand my logic that if this was the case then hospitalization counts would not end up rising (in correspondence to cases)? The writer states, "Nov. 1, the Covid Tracking Project’s seven-day average showed about 80,000 new cases – which we would predict should lead to about 2,800 new hospitalizations a week later, by Nov. 8. Instead, there were 2,600, a little fewer than expected." Therefore if a substantial rise in cases does not result in substantial rise in a hospitalization counts before the hospitals cannot take more, then we should not see reports such as these: "Since the Thanksgiving holiday, California has faced a surge of Covid-19 infections unparalleled across the United States, leading to continued daily record highs in hospitalizations and deaths." (https://www.cnn.com/2020/12/18/us/california-covid-surge-alarming-rise/index.html) .
Thus is likely due to wanting to be politically correct rather than merit, although immigrants usually do work harder than the natives.
You mean a California Coronavirus Death Rate high of 4.16% on May 2nd to 1.13% on Jan. 1? "California Coronavirus Death Rate is at 1.13%, compared to 1.13% yesterday. This is lower than the long term average of 2.35%."?
That must be blamed on the President and his admin for doing nothing except (from World Meters),
avel Alert: Do Not Travel to China
On January 17, the CDC announced that 3 airports in the United States would begin screening incoming passengers from China: SFO, JFK, and LAX [6] Other 2 airports were added subsequently, and on January 28, the U.S. Department of Health and Human Services (HHS) announced that 15 additional U.S. airports (bringing the total to 20) would begin screening incoming travelers from China.
More: https://www.whitehouse.gov/briefings-statements/president-trumps-historic-coronavirus-response/
But then you do have what the President often erroneously said in downplaying it: https://doggett.house.gov/media-center/blog-posts/timeline-trump-s-coronavirus-responses
How about it...just whacky...
Is not also possible that more healthy individuals who were not among the more at-risk demographic to get infected early are now coming down with more mild cases? Or that the virus has mutated into a less dangerous strain?
Aren’t there lots of ways to interpret data?
Sounds like my tomato plant blight last summer.
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