OT: Keyontae Johnson UF | Page 4 | The Boneyard

OT: Keyontae Johnson UF

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Not talked about is how hard he hit his head...he fell forward unconcious right onto his face...no hands breaking the fall...face hit first....
That’s something that count my eye too. Almost guaranteed concussion
 
A lot of us woke up and had flu shots...I know my wife and I did this year.
 
There was a Johns Hopkins study that came out recently that concluded that the overall death rate for elderly people in the United States since the pandemic began have been fairly similar to prior years, with an overall increase of just over 11,000 from 2018 peaks. Why? Because the deaths attributed to Covid-19 have been offset by fewer deaths from all other causes. Dr. Genevieve Briand concluded that it's likely that many deaths have been misreported as Covid-19. In other words, she concluded that it is statistically impossible that all deaths from heart disease, aneurism, and so on went down almost exactly as much as Covid-19 caused deaths. This study was pulled, not because her numbers were bad - they were taken directly from the CDC. Her analysis was irrefutable, because it was just number crunching. The study was pulled because, bizarrely, some people were concerned it would be used for improper purposes.

BTW - pneumonia kills about 45k a year in the U.S., including, tragically, many children. Covid-19 has, by official numbers, killed almost a third of a million, and fewer than 200 children - so not comparable, officially.

According to a NY Times article yesterday, in 2020 USA there are at least 356,000 more deaths than usual from all causes. In addition to the COVID 19 deaths, there have been higher than normal numbers of deaths reported from diabetes, Alzheimer's, high blood pressure, and pneumonia.

 
According to a NY Times article yesterday, in 2020 USA there are at least 356,000 more deaths than usual from all causes. In addition to the COVID 19 deaths, there have been higher than normal numbers of deaths reported from diabetes, Alzheimer's, high blood pressure, and pneumonia.

May be hard to quantify the reasons, but I would guess the stress and social isolation of the pandemic and being isolated from extended family (for those who have done so and followed protocols strictly), and the reluctance of many to seek medical care especially in an institutional setting, may have some bearing on it.

No studies, nothing peer-reviewed, just my guess.

FWIW.
 
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According to [CDC Data] yesterday, in 2020 USA there are at least 356,000 more deaths than usual from all causes.
You are absolutely correct. Better to ignore the NYT, however, which is fairly radical now, and go right to the source the NYT writer cites, which is the CDC - here's the link . . . Excess Deaths Associated with COVID-19 (cdc.gov) . I recommend scrolling down to the blue histogram, which shows the data. The Hopkins author pointed out that the peak weekly death rate in '18, about 67,664, was only exceeded by 12,000/week at the peak of Covid-19 mortality in March, and was only exceeded for 4 weeks during that peak period. In other words, total deaths in U.S., per week, since Covid began, were less than those experienced week-ending Jan 13, 2018 for all but 4 weeks. Her point was that non-Covid-19 deaths have been swapped with Covid-19 deaths. Others have extended her point to - unscientifically - attempt to minimize what this is, by making the point, "well if fewer people died in pandemic week ending Dec. 14, 2020 than did pre-pandemic early January 2018, then how bad can this pandemic really be?" Terrible logic, of course.

This is a severe pandemic, no doubt. How severe? That's a question for history, I suppose.
 
The social distancing, masking, and probably just as important the work/school from home stuff we are doing which is only moderately effective against COVID is incredible against regular influenza. We should very much consider encouraging as a society more mask usage during the winter months each year, especially for susceptible individuals or anyone with flu symptoms like they do in Asia.
 
"You are absolutely correct. Better to ignore the NYT, however, which is fairly radical now, and go right to the source the NYT writer cites, which is the CDC - here's the link . . . Excess Deaths Associated with COVID-19 (cdc.gov) . I recommend scrolling down to the blue histogram, which shows the data. The Hopkins author pointed out that the peak weekly death rate in '18, about 67,664, was only exceeded by 12,000/week at the peak of Covid-19 mortality in March, and was only exceeded for 4 weeks during that peak period. In other words, total deaths in U.S., per week, since Covid began, were less than those experienced week-ending Jan 13, 2018 for all but 4 weeks. Her point was that non-Covid-19 deaths have been swapped with Covid-19 deaths. Others have extended her point to - unscientifically - attempt to minimize what this is, by making the point, "well if fewer people died in pandemic week ending Dec. 14, 2020 than did pre-pandemic early January 2018, then how bad can this pandemic really be?" Terrible logic, of course.

This is a severe pandemic, no doubt. How severe? That's a question for history, I suppose.
Data generation and collection is one of the most underreported shortcomnigs of this pandemic, especially considering this data is what drives life and death decisions made by governments.

"Death caused by Covid 19" is an incomplete statistic. It neglects the level of impact Covid had on the person's death. Was Covid the primary contributing factor? Was Covid the straw the broke the camel's back? Was Covid even a factor at all?

Similar logic applies to "cases." While it's important to know how many people test positive to gauge the prevalence of the virus, that doesn't tell us much about its impact. What is the rate of cases that lead to symptoms? What is the rate of cases that lead to hospitalization? What is the rate of cases that lead to deaths? How is this distributed across segments of the population by age, gender, socioeconomic status, etc.

This level of data would lead to much more informed decisions on public health measures and increase public trust that leaders aren't just winging it.
 
The social distancing, masking, and probably just as important the work/school from home stuff we are doing which is only moderately effective against COVID is incredible against regular influenza. We should very much consider encouraging as a society more mask usage during the winter months each year, especially for susceptible individuals or anyone with flu symptoms like they do in Asia.
You won't get public buy-in on universal mask wearing in the winter for regular flu. Masks are a key and necessary tool to prevent Covid, absent immunity and other therapies.

But there are inconveniences and drawbacks to universal masking in a "just to be safe" scenario - especially for a virus like influenza that does not overwhelm hospitals, there are extensive therapies for, and is not as transmittable as Covid.
 
You are absolutely correct. Better to ignore the NYT, however, which is fairly radical now, and go right to the source the NYT writer cites, which is the CDC - here's the link . . . Excess Deaths Associated with COVID-19 (cdc.gov) . I recommend scrolling down to the blue histogram, which shows the data. The Hopkins author pointed out that the peak weekly death rate in '18, about 67,664, was only exceeded by 12,000/week at the peak of Covid-19 mortality in March, and was only exceeded for 4 weeks during that peak period. In other words, total deaths in U.S., per week, since Covid began, were less than those experienced week-ending Jan 13, 2018 for all but 4 weeks. Her point was that non-Covid-19 deaths have been swapped with Covid-19 deaths. Others have extended her point to - unscientifically - attempt to minimize what this is, by making the point, "well if fewer people died in pandemic week ending Dec. 14, 2020 than did pre-pandemic early January 2018, then how bad can this pandemic really be?" Terrible logic, of course.

This is a severe pandemic, no doubt. How severe? That's a question for history, I suppose.

Thanks, the pictogram is indeed helpful. Looks like the Hopkins author picked the one brief period during January 2018 when, for a short time, actual deaths exceeded predicted deaths, and used that as a basis of comparison to indicate that things aren't that bad. You concede this is terrible logic, and I would add totally misleading.

The pictograph shows that except for the January 2018 period, actual deaths (the blue bars) have been trending below predicted deaths (the yellow line) consistently up to March 2020, when actual deaths began to consistently exceed predicted deaths in a months long trend. Add up all those blue bars above the line and you get the meaningful picture.
 
You won't get public buy-in on universal mask wearing in the winter for regular flu. Masks are a key and necessary tool to prevent Covid, absent immunity and other therapies.

But there are inconveniences and drawbacks to universal masking in a "just to be safe" scenario - especially for a virus like influenza that does not overwhelm hospitals, there are extensive therapies for, and is not as transmittable as Covid.

Yeah definitely wouldn't call for universal mask wearing, just too much public health blowback. But just more people wearing when they have flu symptoms? Especially post-COVID where pretty much everyone now owns masks and the policy inertial hump is lowered.
 
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Yeah definitely wouldn't call for universal mask wearing, just too much public health blowback. But just more people wearing when they have flu symptoms? Especially post-COVID where pretty much everyone now owns masks and the policy inertial hump is lowered.
Agreed. Masking in targeted spots as a best practice where you're sick and need to go out in public can be a useful tool.

But public health messaging there is key. It can't be communicated as "forever masking" as some have implied.
 
Study relates to Covid-19 pneumonia, as far as I can tell (can't find peer-reviewed publication). It appears to involve people who were hospitalized with pneumonia related to Covid-19 disease, then released.
If that's the case, then this is likely inapplicable to young, healthy, asymptomatic or mildly symptomatic athletes who did not have pneumonia.
Not a good article I admit. I had hoped to find a better report directly from the researchers. If you find a peer reviewed paper on this research I'd appreciate a link to it. From the article:

Eight of them had persistent shortness of breath and tiredness three months after being ill with coronavirus, even though none of them had been admitted to intensive care or required ventilation, and conventional scans had found no problems in their lungs.

The scans
(Xenon scans) showed signs of lung damage - by highlighting areas where air is not flowing easily into the blood - in the eight who reported breathlessness.

Regarding what was available I interpreted this new research approach and the MRI images presented in the article as showing areas in the lung in which there was no exchange of gases between the alveoli and capillaries as opposed to lung fluid, necrosis, inflammation or infection. This implies the damage is occurring at a microscopic level.

If my interpretation is correct than either the alveoli are present but not exchanging oxygen implying a loss of function in the alveolar cells or it's the endothelial cells of the capillaries adjacent to the alveoli that are not functioning properly. I've read papers showing that Covid-19 has been observed to have endothelial involvement so I linked the article to @upstater.
 
Well, life insurance is monetary. It is a fiancial contract.

health insurance is medical care.

life insurance is also based on risk
medical care should be available for all american citizens regardless
 
Data generation and collection is one of the most underreported shortcomnigs of this pandemic, especially considering this data is what drives life and death decisions made by governments.

"Death caused by Covid 19" is an incomplete statistic. It neglects the level of impact Covid had on the person's death. Was Covid the primary contributing factor? Was Covid the straw the broke the camel's back? Was Covid even a factor at all?

Similar logic applies to "cases." While it's important to know how many people test positive to gauge the prevalence of the virus, that doesn't tell us much about its impact. What is the rate of cases that lead to symptoms? What is the rate of cases that lead to hospitalization? What is the rate of cases that lead to deaths? How is this distributed across segments of the population by age, gender, socioeconomic status, etc.

This level of data would lead to much more informed decisions on public health measures and increase public trust that leaders aren't just winging it.

Here is what people don't understand. If you have Stage 4 cancer and have a year or 2 to live. You catch Covid and die in 30 days. That is a Covid death with a co-morbidity of cancer.

You died of both.
 
Apparently he’s in a medically induced coma. Biggest prayers up for this young man regardless of the cause.
 
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Apparently he’s in a medically induced coma. Biggest prayers up for this young man regardless of the cause.

I erased my post earlier about this...because not from an official source...but a staff at the hospital leaked to a friend who psted on Warchant that he is in a hyperthermia protocol...intended to protect brain...ventilated and in coma.

It is now moving around the boards slowly...but it has not been authenticated that I know of...
 
You are absolutely correct. Better to ignore the NYT, however, which is fairly radical now, and go right to the source the NYT writer cites, which is the CDC - here's the link . . . Excess Deaths Associated with COVID-19 (cdc.gov) . I recommend scrolling down to the blue histogram, which shows the data. The Hopkins author pointed out that the peak weekly death rate in '18, about 67,664, was only exceeded by 12,000/week at the peak of Covid-19 mortality in March, and was only exceeded for 4 weeks during that peak period. In other words, total deaths in U.S., per week, since Covid began, were less than those experienced week-ending Jan 13, 2018 for all but 4 weeks. Her point was that non-Covid-19 deaths have been swapped with Covid-19 deaths. Others have extended her point to - unscientifically - attempt to minimize what this is, by making the point, "well if fewer people died in pandemic week ending Dec. 14, 2020 than did pre-pandemic early January 2018, then how bad can this pandemic really be?" Terrible logic, of course.

This is a severe pandemic, no doubt. How severe? That's a question for history, I suppose.

Delusional
 
The masks and social distancing have reduced cases of the common flu and colds too for that matter.
 
The social distancing, masking, and probably just as important the work/school from home stuff we are doing which is only moderately effective against COVID is incredible against regular influenza. We should very much consider encouraging as a society more mask usage during the winter months each year, especially for susceptible individuals or anyone with flu symptoms like they do in Asia.

But, but...@Jay-Bone said if I got vaxxed my society won't have to mask and social distance....is that not true?
 
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Someone mentioned the light influenza seasons for Covid. That somehow something is off. That’s an easier answer. Social distancing and masks has led to much lower flu transmission. It isn’t doctors fudging numbers for $.
Amen to that, now if we could get a clear read on the numbers for Covid-19
I guess we will someday when we have moved on to the next calamity/emergency/issue - can't wait!
 
Thanks, the pictogram is indeed helpful. Looks like the Hopkins author picked the one brief period during January 2018 when, for a short time, actual deaths exceeded predicted deaths, and used that as a basis of comparison to indicate that things aren't that bad. You concede this is terrible logic, and I would add totally misleading.

The pictograph shows that except for the January 2018 period, actual deaths (the blue bars) have been trending below predicted deaths (the yellow line) consistently up to March 2020, when actual deaths began to consistently exceed predicted deaths in a months long trend. Add up all those blue bars above the line and you get the meaningful picture.
 
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