This is the online headquarters for the Network Modeling for Epidemics (NME) course. This course will introduce traditional compartmental models for epidemics, the methodology for classical descriptive network analysis, and new statistical methods for network analysis using exponential-family random graph models. The final goal will be to use these methods to develop stochastic network models for epidemics, with a focus on empirical models of HIV/STI transmission and control.

The course will use integrated lectures, example-driven computer lab sessions, and extensive tutorial materials to teach deterministic and stochastic models for infectious disease epidemics. Students are required to bring their own laptop computer to the course. Prior to the course, students are recommended to review the materials on the PREP page. Each day’s materials will be posted on the respective page linked above.

2016 Course

The course dates are August 29 to September 2 at the University of Washington in Seattle. The course scheduled will run from approximately 9 am to 5 pm each day, with breaks for lunch.


The syllabus for each day of the course is below.

Day Topics
1 Introduction to epidemic modeling; Stochastic models for epidemics; Classical descriptive network analysis
2 Cross-sectional statistical network analysis (ERGMs); Dynamic statistical network analysis (STERGMs)
3 Simple epidemic models on networks; Epidemics in fixed populations with network dynamics independent of disease state
4 General epidemic models on networks; Epidemics in open populations, with interactions between networks, demographics and infection
5 Extending EpiModel for original research projects; Individual consultations on participant projects

Application Information

  • April 15: Fellowship application deadline. Decisions will be made by April 30.
  • June 1: General application deadline. Applications will continue to be accepted on a rolling basis until this date. Decisions will be made by June 15.

Course fee is $500. Travel and accommodation are the responsibility of the participant, although discounted hotel rates are available. We offer a limited number of fellowships for pre-doctoral students or for attendees from low income countries; these cover waiver of the registration fee only (travel and accommodation are still the responsibility of the fellowship recipient).

Previous Courses

This course, either in its entirety or parts of it, has been offered at the following locations:


Email Lists

We encourage you to join the email lists for Statnet and EpiModel as a place to ask questions, report bugs, and tell us about your research using these tools.


This course is supported by grant number R01HD68395 from the National Institute of Child Health and Human Development.