Infectious Disease Modelling

3 credits · Graduate Programs

Population-level ordinary differential equation models; different compartmental frameworks (SEIR, SIRS, stratified models); stochastic population-level models; Bayesian inference and computation; individual level models; spatial models; network-based models; approximate methods of inference; model-based mitigation methods; disease surveillance methods (time series; spatial models) Prerequisite(s): Admission to a graduate program in Mathematics and Statistics.