Systems Science Modeling and Simulation in Epidemiology

Theoretical and practical introduction to modeling and simulation methods for conducting comparative, cost-effectiveness, and forecasting research. These methods include population-level (e.g., Markov state-transition models and system dynamics) and individual-level (e.g., microsimulation and agent-based modeling) simulations. These methods are employed in field sometimes referred to as systems epidemiology or computational epidemiology. Multidisciplinary fields that use tools and techniques from computer sciences, econometrics, operations research, engineering, and epidemiology to better understand disease mechanisms or evaluate intervention effectiveness.

S/U or letter grading.