Can't be 9x. Some places are above 12%. That gives you a 108% infection rate.
An OC study in the fall found 6x, for them..
Even 6x gives you above 100% infection rate for certain counties.
Going with 4 or 5x, depending on positivity rate. High positivity implies higher multiplier.
So as the variable for ‘undocumented’ (test positive confirmed cases) shifts based on increased testing, positivity rate, etc., is it appropriate to run a regression based on a curve over time as the variable changes in order to create a predictive model (polynominal)? Most models or assumptions regarding heard immunity I’ve seen seem to be linear.