> What do you expect to see from that data alone? How much immunity and for how long the actual covid infection provides?
Yes, so we can deduce remaining susceptible.
The basic model in a pandemic is SIR. Susceptible, Infected, Recovered. Vaxed is a secondary factor.
We live in crazy land when I have to explain why we should be tracking Susceptible (computable when you know number infected and reinfection rate). (not to pick on you, just speaking about general trends I'm seeing)
Imagine if in computing someone asked, "why should we measure RAM usage?"
It's like, the very very basics.
Without that, you cannot accurately model and forecast the pandemic. And you can see for yourself how poorly the CDC is still modeling this when they said "vax work great! no masks!" and then "shit! vax don't work as great as we said, masks back on!" It's like they are pretending that natural immunity without a vax does not exist. One of the very basics in epi, both theoretically and empirically from mountains of data. It's crazy town, I tell you.
At the individual level you should know this to make the proper conditional decisions. There is scant benefit to be had from the vax if you were infected and recovered naturally (and yes, I've read the Kentucky study, and if that's someone's main argument they're a moron).
