From april to august this year, 15222 people were hospitalized with Covid in the Netherlands.
Of those, only 4.6% were fully vaccinated.
7.4% were incompletely vaccinated.
88% were not vaccinated.
Vaccination prevents 95% of hospitalizations from Covid, and even 97% of ICU admissions.
People, get that vaccin if you can.
Noting that you'd need to correlate admissions with the rate of full-/incomplete-/non-vaccination in the population as a whole to make that a decisive statistic in the face of anyone who tries to find wiggle-room. But I suspect you're in the right area.
Hmm,
LMGTFY. Looks like 61.9% are fully vaccinated.
Plugging in populations given/implied to be involved, we can say (somewhat less than) 0.01% of the fully vaccinated in the general population are hospitalised, while (slightly more than) 0.22% of everyone else is hospitalised.
Or, putting it the other way, 65 per million of the vaccinated are affected, 2205(ish) of the unvaccinated. That's 33.7 times difference, or full vaccination gives you only 2.97% the chance of hospitalisation, compared to the not/partially vaccination group. Which might be interpretted as a 97(.03)% advantage, by one interpretation[1] (which probably isn't the one used behind the statement above).
(Obviously GIGO might apply, and I just took the simplest way of comparison at each stage. There's probably something Bayesian you could do to it with Poisson gamma beta-binomial doodads, but those things are far less easy to make someone else understand the logic of the formulae, especially as I haven't used them myself for the longest time.)
I remain convinced, of course. But it's nice to know.
[1] I always get rather annoyed with statements like "<foo> is
three times less than <bar>". Is <foo> a
third of <bar>? Or is <foo> a quarter (1 <foo> for every 4 <bar>)? Or is <foo> a negative value twice the magnitude of <bar>'s positive value (<foo>=<bar>*(1-3)=<bar>*(-2))? Or... well, you get the idea. And percentages can be missused grossly. Take 10% from a value, then add 10% to what you now have, and you get 99% of the original value, not 100%. The same also happens if you start by adding 10%, then remove 10% of the (new) value again.