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I’ll admit, I watch the whole video with the sound off just to see the newscaster...she’s pretty.
What's the current wisdom on treating the cytokine storm?We aren’t (from what I have seen) seeing dramatic anemia in these patients which would be an obviously sign of massive red blood destruction.
The elevated ferritin has to do with immune system activation and is linked to the cytokine storm theory related to COVID.
You don’t get a vaccine every year from the flu, you get a flu shot which is a treatment. Why would you get a vaccine every year doesn’t make any sense?..If there was a vaccine for the flu no one would get sick ever.
Please explain to me how a seasonal flu shot is a vaccine? I’m just a simple plain lo’ Marine Veteran and half a hack electrician.You're not understanding how the seasonal flu vaccine is formulated.
Ahhhh the Summer of 2020!!...did all we could to keep from getting heat stroke because we have no A/C and we were stuck inside. I remember it vividly! LolNot looking good....
COVID-19 Projections | US | Massachusetts
We take a data-driven approach rooted in epidemiology to forecast infections, deaths, and recovery timelines of the COVID-19 / coronavirus epidemic in the US and around the world.covid19-projections.com
Please explain to me how a seasonal flu shot is a vaccine? I’m just a simple plain lo’ Marine Veteran and half a hack electrician.
I went on a doctor’s chat room the other day. The guys there were talking all about guns and bullets.
I think the site was also called NES coincidentally enough. Northeast surgeons or something to that affect. They seemed to know all about guns and stuff. Very interesting.
Thanks
Except the data is incorrect and makes assumptions. Total infected cannot be quantified without testing 100% of the population for infection or antibodies. Additionally if only 10K die as projected, that is a VERY low percentage of the population of 6.9M. Which, I will point out, they even have the population #'s wrong....Not looking good....
COVID-19 Projections | US | Massachusetts
We take a data-driven approach rooted in epidemiology to forecast infections, deaths, and recovery timelines of the COVID-19 / coronavirus epidemic in the US and around the world.covid19-projections.com
How I know you didn’t read about their methodology:Except the data is incorrect and makes assumptions. Total infected cannot be quantified without testing 100% of the population for infection or antibodies. Additionally if only 10K die as projected, that is a VERY low percentage of the population of 6.9M. Which, I will point out, they even have the population #'s wrong....
It’s called a flu shot not a flu vaccine...I don’t know why this is being questioned???..I know there are other methods of targeting a specific seasonal flu strains like Tamiflu but I laugh at people holding there breath for a vaccine, ain’t happening and of course this thing is going to mutate if not already. Hopefully this Remvisidir shows long term promise for the really sick. Now, for the unhealthy ppl out there who chose a life of bad choices, it’s time to get healthy!!!!!! When this respiratory illness grabs a hold of him it’s not even Covid19 that’s killing them it’s the blood clots in all the other organs. A lot off doctors not on mainstream media (including fox) are not talking about this. Covid 19 could be a blood clot issue more than a respiratory one.I'm not sure how "shot" would be different than "vaccine." I think of "shot" (medically) as a delivery method, not a definition of a type of medical agent. So to me, anything delivered subcutaneously with a needle is a "shot."
Which countries?What their data shows - and what other countries are already seeing - is that lifting restrictions results in a second jump in numbers. Hoping the May 18 date will stick but this will b3 with us all summer.
Read the methodology. Oh, then read the methodology. Then read it again. Then show me the model you think is most accurate. What some of you seem to be saying is “I don’t like any model that doesn’t agree with ME!”Which countries?
I'm not buying their model, FWIW. There are certain things they're not taking into account.
I don't think any of them are, frankly. And the predictions of the so-called experts have turned out to be woefully, horribly wrong.Read the methodology. Oh, then read the methodology. Then read it again. Then show me the model you think is most accurate.
Everyone’s an Epidemiologist these days, so your credentials are just as good as Doctors and Scientists who’ve spent their entire careers studying infectious disease and transmission.
My point went over your head. You cannot have an accurate percentage of the population infected without 100% testing. It's called math. What they did is called a guess.How I know you didn’t read about their methodology:
They are independent, the only model shared by the CDC that does not receive government funding.
It’s an AI-based simulation of actual infection rates, not just those tested.
They continually update the model based on local data.
They were one of the first models to suggest really low fatality rate.
About covid19-projections.com
We use artificial intelligence to accurately forecast infections, deaths, and recovery timelines of the COVID-19 / coronavirus pandemic in the US and globallycovid19-projections.com
Personally, I’m tracking actual deaths and hospitalizations. They’ve both been going down in MA for 5-6 days. My understanding is the restrictions will be lifted when they’ve been going down for two weeks, View attachment 353875View attachment 353876
What their data shows - and what other countries are already seeing - is that lifting restrictions results in a second jump in numbers. Hoping the May 18 date will stick but this will b3 with us all summer.
FIFYWhich countries?
I'm not buying their model, FWIW. There arecertainA LOT of things they're not taking into account.
Why they are calling it a simulator. And why I am tracking deaths and hospitalizations. But those are lagging indicators.My point went over your head. You cannot have an accurate percentage of the population infected without 100% testing. It's called math. What they did is called a guess.//.
Since PreCogs don't exist, there is NO guestimate that is accurate unless 100% of the potential data is collected and then the model can be extrapolated. There is NO consistency in how the numbers are obtained. Since the models currently are based on inconsistent quantities (lets count them one way today, no let's count them another tomorrow) and inaccurate numbers (let's guess they have the Wu Flu, lets not test 100% potentials) not have they tested 100% of all potential past infected (antibodies)Read the methodology. Oh, then read the methodology. Then read it again. Then show me the model you think is most accurate. What some of you seem to be saying is “I don’t like any model that doesn’t agree with ME!”
Everyone’s an Epidemiologist these days, so your credentials are just as good as Doctors and Scientists who’ve spent their entire careers studying infectious disease and transmission.
No guess is ever accurate without accurate numbers. I don't make estimates based on half baked numbers that inconsistently applied and on half truths. So far there is NO way to even model this, since they can't even agree on who is positive or not.Why they are calling it a simulator. And why aim tracking deaths and hospitalizations. But those are lagging indicators.
Please post up the model you think is most accurate.
May be a better model, structurally speaking, but GIGO. Given the way authorities have been manipulating and massaging the reported data I'd be hesitant to make any model-based decisions without significant normalization and cleaning of the input data.Not looking good....
COVID-19 Projections | US | Massachusetts
We take a data-driven approach rooted in epidemiology to forecast infections, deaths, and recovery timelines of the COVID-19 / coronavirus epidemic in the US and around the world.covid19-projections.com
EXACTLY!May be a better model, structurally speaking, but GIGO. Given the way authorities have been manipulating and massaging the reported data I'd be hesitant to make any model-based decisions without significant normalization and cleaning of the input data.
What kind of shots were they giving?
No guess is ever accurate without accurate numbers. I don't make estimates based on half baked numbers that inconsistently applied and on half truths. So far there is NO way to even model this, since they can't even agree on who is positive or not.
The one thing I will say is that the Worldometer numbers for Connecticut match what's been coming out of the governor's office.FYI. Here's a comparison of 3 major sources of COVID-19 data: COVID-19 deaths and cases: how do sources compare?
And here's the list of known issues with the JHU CSSE data: CSSEGISandData/COVID-19
IMNSHO there's not good data set (yet). Too much of the reporting has been skewed by multiple factors in different directions (ex. deliberate under-reporting, over-reporting deaths, variable degree of infection and anti-body testing, etc). All the data sources are going to be crap until those factors can be accounted for.