SMDM Course: Infectious Disease Modeling Using Dynamic Compartmental Models in R
In this course, we focus on a commonly used form of infectious disease models: dynamic compartmental models governed by differential equations. Our course has two parts: 1) providing a brief overview of basic concepts in infectious disease epidemiology – such as the basic reproductive number, contact matrixes, and herd immunity, and 2) demonstrating how to translate these concepts into model assumptions and parameters in R.
Register here: https://smdm.org/meeting/infectious-disease-modeling
SMDM Course: Simulation Models for Public Health Decision Making
The primary objective of this course will be to provide a survey of commonly used simulation models for decision making in public health research, including cohort-/population-based, microsimulation, agent-based, and compartmental models. Emphasis will be on the applications of these models to inform decision making, such as in cost-effectiveness analysis (CEA) and comparative effectiveness research (CER). Basic concepts of the design and analysis of simulation studies will be covered. The course will also provide an overview of statistical methods for developing these models, including parameter calibration, validation, predictive accuracy, uncertainty propagation, and reporting practices.