Abstract

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. 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. 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. Social network diagramming should be considered a practical and important public health tool for use in cluster management.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call