No, it's because anti-vaxxers and anti-maskers like you didn't comply, duh.Oh, OK. So when I look at CA mask requirements and restrictions and see a surge, it is logical to assume those didn't work. Thanks!
No, it's because anti-vaxxers and anti-maskers like you didn't comply, duh.Oh, OK. So when I look at CA mask requirements and restrictions and see a surge, it is logical to assume those didn't work. Thanks!
I got it and I am in the best shape of my life. My wife loves me, my ds called me yesterday to just say hi and not ask for $$$ and my dd is turning the corner from being 17. The logical reasoning in my brain is that I have nothing to worry about and neither does my family, who got it already too. We have strong Cherokee bloodline ((where the Braves got their name)) mixed with super strong William Wallace Scottish Highlander Bloodline. We are a powerful magnet of love K&S. I can;t wait to share more good news about my family. The tide is turning. Fucking Golden Gate has his head up his ass. I wish I could share all the gossip in my family but it's best I keep it on the down low bro. Goat is going places is all I can say.....lol!!! TGIFS!!!!I'll say the next hospitalization wave due to COVID will be significantly lower.
Current evidence suggests those most at risk of hospitalization are unvaccinated and also haven't had it yet but that is not particularly straightforward to determine. It also likely matters which variant someone caught and the length of time since the vaccination/booster.
It makes sense to focus on overall hospitalizations going forward as testing positive doesn't always indicate symptoms are present or the symptoms are no more than that of a cold. This scenario is/should be more common going forward if the vaccine truly protects from hospitalization as evidence suggests. Here's my unresearched take. After the current wave (which is still playing out a bit in the northern states), the virus and/or vaccine has been well spread across US population, and a large portion of the US was back to very near-normal activity. Assuming "breakthrough" infections are not rampant and not as severe (It's bad if R >1 AND the hospitalization rate is near to what it was), the states that have been back to normal won't see a nearly as significant rise in hospitalizations as they did previously. Those states with many restrictions may see a bigger percentage rise compared to the states without restrictions as they go back to normal or a slower, longer low rise if they continue restrictions (flatten the curve scenario). Now if breakthrough infections are common enough to create an R > 1 and infections are as severe there's no end in sight. Fortunately, there is no evidence of this.
Reasons to be optimistic things will improve
- Our immune system has a long history of surviving viruses about 99% of those who get COVID survive (98.2% of those who test positive)
- The vaccine offers protection from variants.
- Having gone through our population, many of those at the highest risk have already been exposed.
- Many states have been back to normal so their "R" isn't artificially low due to behavior modifications.
- Treatments are improving
There's still time to start exercising more and losing some weight. In some cases, this can lower your risk more than the vaccine. Also, lower weight and better aerobic health "works" regardless of the variant.
Oh, OK. So when I look at CA mask requirements and restrictions and see a surge, it is logical to assume those didn't work. Thanks!
Yes, exactly. “Seasonal effect” is an effect on the “R” value in the same way NPI’s are supposed to effect R. Neither is a guarantee that R will be < 1. Quite some time ago @dad4 explained it to you.Interesting conclusion. I was looking a data for all of USA. My comment referred to the assumed seasonal effect of the infection.
Yes, exactly. “Seasonal effect” is an effect on the “R” value in the same way NPI’s are supposed to effect R. Neither is a guarantee that R will be < 1. Quite some time ago @dad4 explained it to you.
I am not an epidemiologist but most of this stuff is out there. I welcome anyone more qualified to correct any misconceptions below.What seasonal effect factor does one assign to a data set that is displaying no seasonal behavior?
...tell me about it, just look at the sheep on this forum..."thank you sir may I have another!"Must Watch! Yet, kids wear masks all day in school.
Brave men and women didn't sacrifice life and limb for freedoms that are so willingly and easily surrendered. Pathetic.
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The Masked Theater of the Elite…
World leaders rip their masks off after photo shoot.citizenfreepress.com
I am not an epidemiologist but most of this stuff is out there. I welcome anyone more qualified to correct any misconceptions below.
Any virus that is aerosolized will be seasonal as its "R0" will vary throughout the year based on changing humidity and temperature as well as normal behavioral changes associated with the seasons that will put people inside unventilated areas more often. Also, the humidity/temperature in the unventilated (and ventilated for that matter) areas will also have an effect on R and that tends to change during the year. See the link below. The first sentence (shown below the link) is a statement of seasonality.
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The Role of Dry Winter Air in Spreading COVID-19
Low relative humidity can aid in the transmission of COVID-19 in three primary ways. Learn what you should do to create a safer environment at home.www.uhhospitals.org
"As Americans head indoors for the winter, they find themselves at increased risk of contracting and spreading COVID-19 due to lower levels of humidity in the air."
As far as the factor to apply, ask @dad4. He may have an idea. It will vary depending on the virus and it's especially difficult when a virus is first introduced - hence the reference to the "novel" corona virus. The best case is that the COVID variants aren't produced as efficiently as the flu and the combination of getting it and getting vaccinated eventually pushes it to R < 1 regardless of the "season" and variant. I believe the next best scenario is what @Desert Hound describes - a "flu-like" seasonality where the R0 > 1 for part of the year. The worst case is well all get it and die - although, at close to a 99% survival rate, that may take a while.
Yes, with all viruses there are unknowns and assumptions that must be made to come to any conclusions. It's why the experts' predictions are often incorrect.Lots of unknowns and assumptions in there. I am also not an epidemiologist, so I limited my analysis to what I do know -- analyzing large data sets looking for frequency components. If I had told my boss "Ignore the data, we know how it is supposed to work" I would have been transferred to the marketing department.
That's how we got Fauci.Lots of unknowns and assumptions in there. I am also not an epidemiologist, so I limited my analysis to what I do know -- analyzing large data sets looking for frequency components. If I had told my boss "Ignore the data, we know how it is supposed to work" I would have been transferred to the marketing department.
The State is almost universally considered an institution of social service. Some theorists venerate the State as the apotheosis of society; others regard it as an amiable, though often inefficient, organization for achieving social ends; but almost all regard it as a necessary means for achieving the goals of mankind, a means to be ranged against the “private sector” and often winning in this competition of resources. With the rise of democracy, the identification of the State with society has been redoubled, until it is common to hear sentiments expressed which violate virtually every tenet of reason and common sense such as, “we are the government.” The useful collective term “we” has enabled an ideological camouflage to be thrown over the reality of political life. If “we are the government,” then anything a government does to an individual is not only just and un-tyrannical but also “voluntary” on the part of the individual concerned. If the government has incurred a huge public debt which must be paid by taxing one group for the benefit of another, this reality of burden is obscured by saying that “we owe it to ourselves”; if the government conscripts a man, or throws him into jail for dissident opinion, then he is “doing it to himself” and, therefore, nothing untoward has occurred. Under this reasoning, any Jews murdered by the Nazi government were not murdered; instead, they must have “committed suicide,” since they were the government (which was democratically chosen), and, therefore, anything the government did to them was voluntary on their part. One would not think it necessary to belabor this point, and yet the overwhelming bulk of the people hold this fallacy to a greater or lesser degree.Yes, with all viruses there are unknowns and assumptions that must be made to come to any conclusions. It's why the experts' predictions are often incorrect.
Huh?What seasonal effect factor does one assign to a data set that is displaying no seasonal behavior?
Huh?
So far, covid has shown a pretty strong seasonal correlation. ( Have you completely forgotten last winter? ). There are other factors, too. But no one important seems to doubt that there is a weather effect.
I have not bothered trying to predict whether there will be a winter surge. My county has a high enough vax rate that we can probably hospitalize the remaining high risk anti-vaxxers, as needed.
When you understand that your comment above regarding COVID and the seasonality of COVID as @dad4 described it are not incompatible, you will have gained new knowledge.There were also peaks in the summer of 2020 and the summer of 2021.
It's exactly these types of statements that drive public health professionals crazy (at least the ones that stay out of politics).Huh?
So far, covid has shown a pretty strong seasonal correlation. ( Have you completely forgotten last winter? ). There are other factors, too. But no one important seems to doubt that there is a weather effect.
I have not bothered trying to predict whether there will be a winter surge. My county has a high enough vax rate that we can probably hospitalize the remaining high risk anti-vaxxers, as needed.
The weather effect? Please explain this.Huh?
So far, covid has shown a pretty strong seasonal correlation. ( Have you completely forgotten last winter? ). There are other factors, too. But no one important seems to doubt that there is a weather effect.
I have not bothered trying to predict whether there will be a winter surge. My county has a high enough vax rate that we can probably hospitalize the remaining high risk anti-vaxxers, as needed.