My wife, unvaxed got covid pretty bad.
The first four to five days was pretty bad flu type symptoms and then on night five it was getting scary for her. She took ivermectin and that night she had a proper sleep. The symptoms still persisted and started to get more enflamed over day 6. So she upped her dose of hydrocortisone and that seemed to do the trick to control the inflammation.
It is instructive to look at that data on a log scale, which you can do with an option. Further, I'd like an option to remove the bias between the categories, to study trends.
Of course, if you are afraid of dying from covid, and think the vex is the best way to preserve your life, then in the name of all that's holy, Recode!
Lots of stuff in the literature on this. Here is an example: Omicron escapes the majority of existing SARS-CoV-2 neutralizing antibodies | Nature
I thought that might be what you were getting at, but I wasn't certain. Thanks for clarifying.As for the non-correlative study, I would hope for a non-epidemiological (I generally regard epidemiology as interesting and a signal but not necessarily causative) or general single variable correlative study (survey). I am yet to find something so I asked.
Thanks again.
I'm not aware of any non-epidemiological studies on this. There is a group in the UK that has completed a proof of concept for a human challenge study. I don't know whether they will continue or not.They are very difficult studies to do. You need large numbers of participants because of the variation from person to person. Also, those folks all need to have no previous history of infection, and that is becoming rarer all the time. Then there are the ethical considerations of intentionally infecting people.
I don't know exact numbers, but almost all of the cases in the US in 2022 have been due to the Omicron lineage and there have been close to 200,000 COVID-19 deaths so far this year in the US.
Coronavirus (COVID-19) Deaths - Our World in Data
Download the CSV and plot the ratio boosted/unvaccinated. While the boosted show much lower mortality, there are several regions of time where that ratio is increasing. Nov-Jan has perhaps the most pronounced feature across age brackets. And 65+ shows a steady increase from early Dec through the end of the dataset in early Feb. Much of it being exponential. Unfortunately, 65+ is the age bracket the vaccine was meant to help most.
1. What are the criteria for "confirmed"? This is terribly critical, since 660,000 people die from heart disease every year in the US, and this is therefore a really interesting number, since it's only May and you're claiming 200K so far.
2. How many of these people were "vaccinated"? This is even more critical, because you guys may be killing them.