So, it doesn't necessarily ease the risk for demographics already identified as 'at-risk'. If anything, their risk might be understated given the higher infection rate.
So, it doesn't necessarily ease the risk for demographics already identified as 'at-risk'. If anything, their risk might be understated given the higher infection rate.
this cohort will give us a much better picture of how the virus impacts a totally healthy and young population. as with countless other pieces of evidence, it should also help to put the "it's just a flu bro" falsehood to bed.
The caveat is that mortality rate is intimately tied with the availability of certain types of care; if you need a vent and the hospital is full, you die even if otherwise you would’ve lived. Thus case mortality rate will change dramatically once the hospitals fill up.
This is especially striking with children: if the US had the same number of covid infections as seasonal flu, you'd probably have lower pediatric deaths from covid than flu.
What you should be comparing is case fatality rates.
You have to compare just the case fatality rate. Comparing fatality ratios alone is too likely to measure unrelated factors.
Anyway, here's some IFR estimations for covid by Imperial college: https://www.thelancet.com/journals/laninf/article/PIIS1473-3...
You see significantly higher multipliers by age group than for flu. As one example, they are guessing teenagers have 1/17th the mortality rate of say a 40 year old. For flu (going by deaths), it's about 1/5th.
Sweden and Iceland never closed schools for young kids. Data doesn't look any different.
Including being "old".
I thought that smokers had elevated risks too, are smokers allowed in the military? As far as I can tell they are.
To an extent. The US military caps military service at 30 years (20 for reserve officers), last I checked. So if you enlisted at 35 (right at the cutoff for the usual maximum age to enlist), you'd be forced to retire at 65, whereas if you enlisted at 17, you'd be forced to retire at 47. 65 (IIRC) is right on the edge of when age starts becoming a significant risk factor; for the vast majority of military personnel, it ain't gonna be a factor.
There are of course exceptions to this based on rank or specialization; for example, had my grandpa been promoted to General, he would've been able to serve longer, but he wasn't selected for the promotion so he aged out as a Colonel (or at least that's how he explained it to me).
Squadron commanders, senior medical officer, Dept heads and the CO and Admiral would most likely be in their forties or early fifties.
Army, is an activity with lots of health risks, chemicals and strange diseases exposure attached. Not the best choice if you expect to live for one hundred years.
29 out of 33 pregnant women who tested positive at Columbia University Medical in NYC were also asymptomatic:
https://www.medpagetoday.com/infectiousdisease/covid19/85965
With other viruses, pregnant women are typically considered at elevated risk. For example, they had a significantly higher fatality rate with the Spanish Flu. So it's still unclear who is most likely to be asymptomatic based on the data we have so far.
Then scale that up to US population outside N.Y.: 18,0000 deaths / 0,0006 = 3,000,000 infected out of 300,000,000 for an infection rate of... 1%.
Herd immunity takes about 66% to 70%. So: only 65% to 69% to go, or about 200,000 deaths.
Lower the assumed infection rate in NY to anything realistic and it only gets worse. For (still high) 20% you’re looking at a million deaths to achieve herd immunity.
My layman understanding is that a vaccine relies on the body creating antibodies.
But that doesn't mean that it is impossible to create a vaccine: this problem exists already for successful vaccines. For example, the Hepatitis B vaccine has a relatively high failure rate, but is still provides immunity 90+% of the time. It just means that some smallish percentage of the people you vaccinate aren't actually contributing to population immunity.
See below for more info:
https://en.wikipedia.org/wiki/B_cell
https://en.wikipedia.org/wiki/Memory_B_cell
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3760154/ --> this one is particularly good. A lot of good info in here on how vaccination and "memory" interact.
https://www.sciencedirect.com/science/article/pii/S0264410X0...
EDIT: this one covers the major routes of vaccination failure --> https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4962729/#!po=60...
Moreover, even if the percentage of such people were shockingly high (i.e. over a fraction of a percentage), you would need to conduct a huge survey to distinguish it from error rates on the tests themselves.
https://www.nature.com/articles/s41591-020-0819-2
I can’t find any research suggesting that patients (symptomatic of not) are recovering in some other way.
And in any case, recovery implies some form of immunity, either innate or adaptive. The virus doesn’t just give up after 14 days.
Another fun seminar is this one by Prof Pamela Bjorkman at Caltech; it's useful to watch the slides with at least one eyeball so not for dog-walking. https://www.youtube.com/watch?v=OBcc_dk9Q9U
Now, this rests on symptoms being directly caused by higher virus cell counts rather than toxic byproduct cascades of some sort. I'm not sure that's true
You would be considered immune if your body produced antibodies that prevented infection. This immunity can be gained by successfully fighting the infection or by receiving a vaccination that triggers an immune response.