NOTE: In addition to the standard in-person workshop format, we will be offering a concurrent virtual, web-based option for participation in 2020. See website for details.
This ‘’hands-on’’ course uses the EpiModel software package in R (www.epimodel.org).
EpiModel provides a unified framework for statistically based modeling of dynamic networks from empirical data, and simulation of epidemic dynamics on these networks. It has a flexible open-source platform for learning and building several types of epidemic models: deterministic compartmental, stochastic individual-based, and stochastic network models. Resources include simple models that run in a browser window, built-in generic models that provide basic control over population contact patterns, pathogen properties and demographics, and templates for user-programmed modules that allow EpiModel to be extended to the full range of pathogens, hosts, and disease dynamics for advanced research.
This course will touch on the deterministic and individual-based models, but its primary focus is on the theory, methods and application of network models. The course uses a mix of lectures, tutorials, and labs with students working in small groups. On the final day, students work to develop an EpiModel prototype model (either individually or in groups based on shared research interests), with input from the instructors. Students are required to bring their own laptop computer to the course.