Social contacts provide the backbone over which infectious diseases are transmitted. The dynamic networks that describe the contact patterns of social systems over time make predicting disease outbreaks difficult. In this talk, I'll discuss some computational experiments that show how disease patterns on static networks are observably different from those on dynamic networks. I'll then provide some intuition about how to prove boundary conditions about transmission on networks that explain why and under what circumstances we are likely to see those differences.