Supplementary Information for Edge-Based Compartmental Modeling for Infectious Disease Spread

In this supplementary information, we give additional information for the edge-based compartmental modeling approach for the spread of susceptible-infected-recovered (SIR) diseases in different types of static and dynamic networks. We give a more detailed discussion of the use of a test node and the assumption that test nodes do not cause infections. We then discuss the calculation of R0, the behavior of our equations at early time (showing that the thresholds they predict are the same as those given by R0), and for some cases we give the final size prediction. Finally, we show that the MFSH models we have used are in fact equivalent to some more familiar existing models.