There is a big difference between a “dose series” versus “dose units” which means a pretty dynamic algorithm script needs to be created and applied to properly calculate the doses administered for each report. Here is the general absolute counts of doses administered:
Could I say as an example, that 46,994 people received a “4th dose”? Could I also think of this as 46,994 x 4= 187,976 syringes were used? That sound very reasonable but not exactly true.
Let’s take a look at summaries by dose:
Using this 5th dose summary as an example, you can see there are 16,643 people (cases) that had a 5th dose, and there were also a few of these same people that received a 6th & 7th dose. There looks to be at least a few thousand reports that also have an extra line item indicating 1,2,3, and 4 doses as well. There is actually ~21 records that have 5units twice, as in two line items with 5 doses apiece.
Let’s drill in a little further an look at some actual reports and the dosing combinations used:
OMG! talk about adding some layers of complexity, is a bivalent considered a booster or the 3rd dose? How do we treat UNK units? Do we at least treat UNK dose as a single dose? The answer is maybe and sometimes… There is actually quite a bit of UNK units.:
Can you start to see how badly your analysis can be led astray if one does not use any dynamic logic to get more appropriate counts?
If anybody has noticed I have never done a “dose” analysis myself because I know it would be a big pain in the ass to do one properly, and it would have to be a one off, because I myself do not have a dynamic algorithm to rely upon. No doubt in my mind IT CAN BE DONE! No doubt in my mind CDC could spit out a extra column of data with a summated dynamic count per report. It’s one of those things I look forward to in the evolution of a real pharmacovigilance tool. Hopefully done by me or some other person down the road if we insist on marching down the road with these de-pop jabs.
The next time you see someone’s analysis by dose, be sure to ask her what kind of algorithm are you using? Don’t even mention the 30% of UNKNOWN AGES. Needless to say when actually reading thousands of reports the victim is indicating they were one their 2nd, 3rd, 4th dose, etc. but only record it as 1 aka a single dose! God Bless
Ahh Pooter! ;(
Excellent. Yet, some analysts do not hesitate to make ‘final’ conclusions and provide various explanations - as if their logic accounted for everything. I wonder if we ever get true, complete data…
It seems like all our data R hosed!