[quote MRex]**@BigChocFrenzy* - would it be valid to scale all of them to 1% to identify expected actual infection rates? Against current testing, if the total number of tests is X then the number needed to get 1% is X/100. If positivity rate is Y% then the "true infections" number is (XY)/100. Despite obvious flaws, it would at least be closer as an estimate.[/quote]
....
If we scale different countries to compare to each other, that would bring in the complication of different testing regimes and choices of who to test,
but it would give a very rough ballpark figure
Where it works best is to compare within the same country, cases now vs calculating "real" numbers of cases in the past, say at peak
When I was assessing # cases in Germany compared to peak, to help me assess the curent situation:
I had that handy RKI table of weekly confirmed cases and % positive tests
I saw that positivity at peak was roughly 10 x higher than recently
So I multiplied the # peak cases x 10, to get my rough ballpark estimate that cases are about 3% of peak
Checking back and considering the lower infection age & improved treatment, that correlated roughly with current v low hospitalisations and deaths here
However, it is only a ballpark figure, not something that could be used much for other calculations, just the best I could do with the available data