#NJ #COVID19 Hospital Admission data, updated today through late last week. This will be stratified by age. Note that all these graphs will be 7 day sums. Divide by 7 to get the daily average admissions.
First, the total
Averaging about 24 confirmed hospitalizations per day
/1
First, pediatric and 18-19 yr olds. There hasnt been an 18-19 yr old admitted with confirmed covid in quote some time, and none through our entire fall wave, yet we are mandating vaccines for college kids. Insane.
/2
Second, 20-29 yr olds. Hasnt been a 20-29 yr old admitted with confirmed covid in almost a month. Again, college kids getting mandated to take a vaccine. Insane.
/3
Third, 30-39 yr olds. None in the last week, a handful the weeks before. How many of these are admitted for pregnancy or some other reason and pop positive on a PCR?
/4
Fourth, 40-49 yr olds. None in the last week, and like 30-39, a handful in the previous weeks. How many of these are admitted for some other emergency procedure and pop positive on a PCR?
/5
Fifth age group, the 50-59 yr olds. For whatever reason, this is the age group currently most impacted now. Wish we ever got a breakout of in the hospital FOR covid vs WITH covid. But we'll likely never know.
/6
Sixth Age group, 60-69 yr olds. This is where deaths due to hospitalization risk begins to ramp up. Admissions? Only a handful per week. Total immunity impacts? Seasonality? Either way, this is no different versus late last summer when there was no vaccines.
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Seventh Age group, 70-79 yr olds. Higher risk of death due to hospitalization. No admissions in the last week and only a handful in the last month. Sensing a pattern here?
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Finally, the 80+ age group. Highest risk of death due to hospitalization. The admissions? Near zero for the last month. Similarly to last summer with no vaccine.
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So how could there be so few admissions per week, but our hospitalization census is still elevated and hovering around 300-330?
Several obvious reasons:
a) Counting too many PUIs as covid but arent TP (Inflating CLI)
b) Too many WITH vs. FOR, skewing the numbers
c) Bad data
/10
As mentioned before, theres a huge disconnect. Is Remdesevir driving hospital stays well beyond how long they should be in there?
Are hospitals gaming the system for more $$$?
Remains to be seen, but one thing is for sure. The data isnt adding up.
/end
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