In this article, we aim to understand how community structure affects epidemic dynamics and control of infectious disease. Community structure exists when connections between members of a group of nodes are more dense than connections between members of different groups of nodes [15] . The terminology is relatively new in network analysis and recent algorithm development has greatly expanded our ability to detect sub-structuring in networks. While there has been a recent explosion in interest and methodological development, the concept is an old one in the study of social networks where it is typically referred to as a ''cohesive subgroups,'' groups of vertices in a graph that share connections with each other at a higher rate than with vertices outside the group [18] . Empirical data on social structure suggests that community structuring is extensive in epidemiological contacts [25, 26, 27] relevant for infectious diseases transmitted by the respiratory or close-contact route (e.g. influenza-like illnesses), and in social groups more generally [16, 17, 28, 29, 30] . Similarly, the results of epidemic models of directly transmitted infections such as influenza are most consistent with the existence of such structure [8, 9, 11, 31, 32, 33] .