Identify the relationship between models and real-world epidemiological data

Incorporate treatment or vaccination into an SIR model, accounting for imperfect efficacy, and for different mechanisms of action

Perform simple calibrations of an SIR model against time-series data, selecting parameters to maximise the fit of the model to the data

Recognise two simple approaches to computer-based model calibration and perform model calibrations under each of these approaches in R.

Distinguish between stochastic and deterministic models, explain when either are appropriate, and perform simple simulations of a stochastic model

Identify where it is important to incorporate population structure in a model and design and simulate a transmission model capturing such structure 

Evaluate the assumptions behind the Ross MacDonald model, and code such a model using R to simulate the dynamics of a vector-borne disease 

Critically evaluate a modelling study and communicate its strengths and weaknesses to a scientifically literate audience