EPIB 638 — Mathematical Modeling of Infectious Diseases

Mathematical models of infectious diseases –computer simulations of epidemics–enable detailed analyses and understanding of factors affecting the distribution of infections/diseases in populations and now play a key role in policy making. Covered topics include: short-term dynamics of infections (R0), compartmental models, stochastic models (including agent-based), contact patterns and heterogeneity, and Bayesian model calibration. The learning objectives are: 1) recognize research questions that can be addressed using modeling; 2) develop, parameterize, calibrate, and analyze simple infectious disease models in R; and 3) critically appraise scientific modeling papers.

• Credits: 3
• Faculty: Graduate Studies
• Department: Epidemiology and Biostatistics
• Prerequisite(s): EPIB 621 or permission of the instructor