Hospital onset COVID in the US. Note the big drop when the required reporting was dropped. I've been reviewing the primary text of my professional association to acquire my board certification in infection prevention again.
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In the legal issues chapter, "In general, for a person to bring a cause of action against another, the following elements must exist:
-The plaintiff must have an interest that is protected by law.
-The plaintiff must show the defendant had a legal duty to act.
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-The plaintiff must prove the defendant breached the duty to act.
-The plaintiff must show injury or damage to the protected interest.
-The plaintiff must prove that the defendant's breach of duty caused the injury...
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To illustrate negligence, consider an example of a patient who acquires an infection during his or her hospital stay. The patient must establish:
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a. He or she contracted an infection in the hospital.
b. The hospital, through an act of negligence, breached its duty to the patient and did not follow a policy or procedure to prevent the infection.
c. The hospital's negligence caused the infection.
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d. The patient's condition worsened because of the infection.
The test for negligence in this example rests on whether the hospital care or lack of care caused the infection and whether the hospital and the personnel working with the patient acted in a reasonable and prudent
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manner to recognize, report, and try to control the infection."
We need respiratory protection standards mandated in ALL healthcare settings. @CDCgov and @OSHA_DOL both should be on the hook to get these requirements back in place to protect patients, staff, and visitors.
Here's my estimate of current COVID cases/day in the US and my rationale. I am using hospital admission data, which is only current until two weeks ago, but this is the most recent that became available today.
2- For the week starting 9/10, there were 17,731 reported COVID admissions. You can see that the change in suspected reporting requirements dropped admission numbers by half, so I'll double admissions to 35,462. Divide that by 7 to get 5,066 admissions per day.
3- About 1% of infections require hospitalization, so from that number alone, one can assume that this accounted for 506,600 infections per day.
I've finally gotten every CSA designated metro area COVID hospitalization data plotted for the US and PR. This should give you an idea of what counties constitute metro areas.
2-A couple of caveats. The data lags by 2 weeks, so pay attention to the shape of the curves recently, not raw numbers. Also, remember that some hospitals are not testing like they had been, so comparisons to the past are not going to be accurate and the values are undercounted.
3-Many of these have data plotted using both the left and right vertical axis in order to show relationships. I also realize I should have titled some as # of reports received, so that explains why the right axis seems like a higher number than the number of hospitals.
Now that I have some relief from a migraine that lasted most of the weekend, I've been thinking about what is driving the surge in the US.
2- Japan seems to be a good place to start since theirs started in April.
3- What seems to be different though is the competition among variants 23D XBB.1.9, 23E XBB.2.3,and 23F EG.5.1 instead of one becoming the most dominant, so I filtered to just those for each country. It was pretty apparent that 23D XBB.1.9 played a major role in Japan.
I stumbled across a review of this book while searching for some information. I reviewed this book before it went to the publisher and I HIGHLY recommend it. However, I had forgotten some of the content.
@soniashah
2- One of the more fascinating sections of it describes how a company that became Chase Bank was responsible for the spread of cholera in NYC.
3- This review of the book though is SO pertinent right now. I am going to quote from one paragraph.
After a considerable amount of work and troubleshooting the last couple of weeks I created a new set of visualizations for each state. I made them relatively high resolution to allow for zooming in. There are 10. I will use NY to walk through them.
2- This is COVID ED visits. I realize I should be only using suspected admissions reporting as the metric to see why there is such a massive drop in ED visits, as you can see in the dotted line in the graph following this one.
3- COVID Admissions by age. There is a massive drop due to the major drop in reporting of suspected cases.
2- There is still a LOT of rain inbound to the area.
3- This could easily drive produces prices sky high this winter, but also meat and dairy prices as well due to the area providing alfalfa to dairy farms and feedlots.