A major strategy for STI/HIV prevention has been network-based and partner-based targeting strategies for increasing screening, treatment, and linkage to other services. Disease intervention specialists (DIS) within health departments attempt to break onward STI transmission chains by offering treatment to a subset of named partners that may be contacted. While these DIS efforts have been successful in identifying and treating STIs, their population-level epidemiological impact and cost-effectiveness for men who have sex with men (MSM) has not been modeled robustly. In this modeling study, we will investigate these disease prevention approaches as used in the real world by local and state health departments. We will simulate the scale-up of DIS-based STI disease identification and treatment through sexual partnership networks of MSM. The goal will be to evaluate how DIS services may be optimally used compared to other potential STI testing and treatment approaches.