We introduce a generic meta-population framework by which the spreading dynamic in both levels of inter-population and intra-populations evolve. Then we show how to estimate A) where, B) when the dynamic had started and C) calculate the cut-off errors in this frame. Finally we redefine the effective distance concept and show that the effective distance vs overtaking time, when the inter-population dynamic overtakes the intra-population dynamic, presents a universal geometry, namely a line, for those neighbours of the origin whose reachability via intermediate nodes are negligible in comparison to the direct effective paths. This line has a universal slope for any disease or network of mobility or origin node. The empirical data of COVID-19 epidemics in Iran and the United States of America as well as the H1N1 pandemic in the world confirms our theory.