Stevens' typology of variable types isn't written in stone and it has some problems. See my blog post: Nominal, ordinal, interval, ratio: Stevens' typology and some problems with it.
However, this is usually not relevant when the variable is a control variable; you can simply add it to the model. If the count took only a very few levels (e.g. it was always either 5, 6, or 10) then you might consider adding it as a categorical variable. That seems unlikely here. If you are concerned about nonlinear effects, you could try a spline of the count, or some form of optimal scoring (in SAS this is available in PROC TRANSREG) but that may not be necessary.
Once again thank you for your clear answer.
– vincitus Mar 01 '15 at 14:09