Network Modeling for Epidemics (NME)

6 day Summer Workshop
University of Washington, Seattle WA
July 8-13, 2013

Mathematical modeling plays a growing role in infectious disease epidemiology, for studying the dynamics of pathogen invasion and persistence, understanding the sources of disease disparities among populations, and predicting the impact of interventions. Deterministic compartmental models (based on ordinary differential equations) have been the traditional basis for this work during the past two decades. Recent advances in statistical theory and methods have given rise to a new class of stochastic “agent-based” network models, however, and these models are more appropriate for small scale assessments, where the effects of chance lead to wide variation in potential outcomes, or when infection is spread by a small number of highly structured contacts, as with HIV and other STIs.

This course will provide an introduction to the new stochastic network models for epidemiology, with a focus on empirically based modeling of HIV transmission and control. It will be a “hands-on” course, with integrated lectures and computer lab sessions devoted to programming. Labs will be based on the user-friendly computational tools available in the package “statnet” (a free package that uses the R programming language). The statnet package is designed to allow users to estimate generative network models from empirical data, and then use those models to simulate dynamic transmission networks with the observed properties. The new “epinetsim” tools for statnet provide utilities for simulating the transmission of infections across the dynamic network, and visualizing the results. The course outline for the week is:

Monday July 8th
Introduction to epidemic modeling
Deterministic and stochastic models for epidemics
Lab: Programming simple deterministic and stochastic SIR models
Tuesday July 9th
Classical network analysis
Introduction to Exponential Random Graph Models (ERGMs) for networks
Lab: Using statnet for static network modeling and visualization
Wednesday July 10th
ERGMs: Separable temporal ERGMs (STERGMs) for dynamic networks
Egocentric network data in ERGMs and STERGMs
Lab: Using statnet for dynamic network modeling and visualization
Thursday July 11th
Epidemic models on networks: Independent network and epidemic processes
Lab: Using the epinetsim epidemic modeling tools
Friday July 12th
Epidemic models on networks: Dependent network and epidemic processes
Lab: epinetsim and dynamic network models with vital dynamics
Saturday July 13th
Open, to discuss projects and research ideas of interest to students
Saturday attendance is optional

Participants will develop the basic tools and knowledge needed to specify and program models for their own research projects.


Dates: Monday, July 8 – Saturday, July 13, 2013

Times: 10 am (sharp) – 4 pm

Location: Main campus of the University of Washington in Seattle

Instructors: Professors Martina Morris and Steven Goodreau

Costs: Registration is $250 On-campus housing will be available for about $70/night. A small number of fellowships will be provided to predoctoral students and/or international (non-US/Canada) scholars

Target audience: Researchers and students in any field with an interest in epidemic modeling

Course webpage:

Prior experience: Basic familiarity with R is required (but see below). Previous modeling experience (broadly defined) is recommended.

Those with general statistical/modeling skills but no knowledge of R may apply now, and obtain familiarity with R in the interim, via or


Complete the application form at

Attendance is limited to 30 participants; preference will be given to applicants with prior experience and an active research project that uses mathematical modeling.

Application dates

Mar 1 deadline for those who wish to apply for fellowship support or on-campus housing. Decisions made by Mar 15.

We will accept other applications on a rolling basis until the workshop limit is reached through April 1. Final decisions made by Apr 15.

Questions? Email us: goodreau at, morrism at

Steven M. Goodreau / Assoc. Professor / Dept. of Anthropology / University of Washington

Martina Morris / Professor of Sociology and Statistics / University of Washington

Last modified 5 years ago Last modified on 02/07/13 19:13:53