Finally, we show that larger network structure also has a part to play in disease dynamics, resulting in significant differences in pathogen prevalence across network types. Our results are in agreement with previous results suggesting increased epidemic size in scale-free network structures (such as those found in Barabasi-Albert random graphs) when the spreading rate is sufficiently slow \cite{Pastor_Satorras_2004,Lloyd-Smith2005} due to the high-degree nodes serving as "super-spreaders" \cite{Shirley_2005,Keeling_2005}. Along these lines, there has been some previous research indicating that node degree (the number of other populations a given population is connected to) is directly related to pathogen prevalence in that focal population (\citealt{Godfrey_2009}, but see \citealt{VanderWaal_2013}), however a complete investigation into network structure at the node-level is beyond the scope of this work. A comprehensive investigation of the role of more complex network structures in disease dynamics, however, remains a topic for further investigation.