I currently teach one formal course at Emory University along with short courses outside Emory that focus on the EpiModel software tool.
EPI 570. Infectious Disease Dynamics: Theory and Methods. Spring Semester
This course the theory, mathematical framework, and quantitative methods for investigating the mechanics of infectious disease dynamics. Students will learn: why these models are used in infectious disease research compared to other quantitative methods; how to read and evaluate the epidemiological literature on epidemic modeling across many specific diseases; and hands-on skills to develop basic computational models for epidemic spread. Class hours will be evenly split between lecture and computer lab time each week.
Network Modeling for Epidemics. Summers at the University of Washington
Network Modeling for Epidemics is a 5-day short -course at the University of Washington that provides an introduction to stochastic network models for infectious disease transmission dynamics, with a focus on empirically based modeling of HIV transmission. It is a "hands-on" course, using 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.