This module has reached capacity and registration is now closed.

Live session timeframe (exact schedule with live sessions will be posted by module instructors prior to the start of the module): Wednesday: 11:30 a.m.-2:30 p.m. Pacific (2:30-5:30 p.m. Eastern); Thursday, 8 a.m. – 2:30 p.m. Pacific  (11 a.m. – 5:30 p.m. Eastern); Friday, 8 a.m. – 2:30 p.m. Pacific (11 a.m. – 5:30 p.m. Eastern).

Prerequisites: Students are expected to have a working knowledge of the R computing environment. Programming will be in R. Students new to R should complete a tutorial before the module.

This module covers the principles of dynamic models of infectious diseases. This module will focus on developing and analyzing compartmental models such as the susceptible-infected-recovered (SIR) model. Topics include deriving the basic reproductive ratio using the next generation method, incorporating different mechanisms of heterogeneity in transmission (for instance, age-structure, behavior or seasonality), formulating exact stochastic birth-death models, carrying out sensitivity analysis and statistical fitting of simple models to data. The module will alternate between lectures and computer labs.

Background Reading: Keeling & Rohani (2008) Modeling Infectious Diseases in Humans and Animals, Princeton University Press.