...between 5-15 minutes. Typically, there seems to be only one registration desk per centre. The injection takes less than 5 minutes. A 30 minute observation wait is mandated.
The numbers of *immediate* AEFIs following injection suggest an infinitesimally minuscule risk. +
But you wouldn't want to have the observation area unsupervised by a trained medical staff. So, it's possible to hold a mid-sized count of people safely at that stage.
Ideally, if I were to hold 10 at a go in the observation area for 30 minutes. I would need to get 10 ...+
... Registration in 30 minutes. Assuming 10 minutes per, 3-4 terminals can deal with it. There's already a minor waiting area before injection, so mild overflows can be buffered on both sides of the injection.
At 5min for the shot, a single terminal can clear 5 in 30 minutes. +
You'd want to maintain a bit of margin on either side, so this does not need to be exact.
So two injection stations can clear 10 in 30 minutes. Observation can hold 10 for 30. Waiting buffers before/after the injection.
The Registration seems to connect to both UIDAI and ...+
...the Co-Win portal for authentication and registration, one or the other of which is either down or overloaded or otherwise slow to respond.
If this still be deemed to be necessary, then the full process for an individual vaccinee - working backwards - ...+
... from observation area would be 30 (wait) + 5 (buffer) + 5 (shot) + 5 (buffer) + 10 (registration) = 55 minutes. Add another 5 to round it off and you're at a max of one hour.
3 Regn terminals, 2 shot stations and 1 observation area. Clearing 10 in 30min and 20 in an hour. +
I've been waiting for three hours now (got a token 20min back) and am in the first staging area. It'll be another 30-40min before I'm able to even register for the dose.
This is a colossal waste of time and effort and massively increases risk of vaccinees infecting each other.
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Most states now have their latest TPR > 10% (contra WHO ref level of 5% and below). Average now risen to 19%+ on the higher side of the inner 1st-3rd quantile range from 14%-23%
TPR growth negative for CT, DL, JH, MH, MP and UP
+
There are certain matters on which - for the survival (or a better future) of the collective - everyone (aka those whose survival is not threatened) contributes to or invests in. Education, Public Health, National Security are three well understood cases.
... argue stupidly for "free markets" in these contexts haven't , quite clearly, thought through any of this and so end up betraying their immature understanding of how markets and societies generally function.
It can also be considered a form of insurance by/for those...+
...that have the most to lose (wealth, status, authority etc). There aren't too many of them - if you get the drift. So when things get bad, if it were everyone for himself, there's nothing preventing the larger # of threatened members of the society from banding together...+
... and shifts his prediction and says something else. And when that fails as well, then he adds some other variable which has behaved unpredictably. You get the drift, if you're an Indian.
The problem though, is NOT that they're not epidemiologists. The issue is that ... +
... they're #clueless hacks who know one thing (in a bounded domain) possibly well. But cannot distinguish an extremely complex phenomenon, with fractal behavior/cascaded (or multi-scale) consequences and feedback loops, which is modelling-resistant.
Quite frankly, I don't (and couldn't know). I've mucked around from simple to ensemble #ML models over the last year, only to realize that something this complex cannot be modelled or predicted.
However, you can pick up what's happening, currently, based...
+
... off the standard epidemiological metrics - changes in trends, TPR, testing rates, recoveries etc. And what that means in terms of the near and medium-term horizons.
The most sensible benchmark would be TPR declining or levelling off against testing rates that are rising...
+
... against/ahead of case growth rates. If the data is passably reliable, it's a good indicator that a peak is to be expected, followed by a decline.
This would also show in R[t] hitting 1.0 on a decline and continuing to go under. If testing is doubtful, TPR is rising ...
+