Objectives: We present an applied example of social network diagramming from 2010 to 2012 that was used to guide follow-up in a large HCV cluster in rural Wisconsin.
Methods: In addition to collecting standard individual-level attributes, we also obtained partner-level information. Both sets of data were input into a network diagramming program to create a series of diagrams that emphasized variables, such as risk factors, key location in the network, and number of partners.
Results: The visualization and cluster analysis guided testing and intervention priorities, were useful in sharing de-identified information about the cluster between health departments and community organizations and illustrated the key role young females played in holding the cluster together.
Conclusions: Social network diagramming should be considered a practical and important public health tool for use in cluster management.