Building on the SIR Model

The other two courses in this specialisation require you to perform deterministic modelling - in other words, the epidemic outcome is predictable as all parameters are fully known. However, this course delves into the many cases – especially in the early stages of an epidemic – where chance events can be influential in the future of an epidemic. So, you'll be introduced to some examples of such ‘stochasticity’, as well as simple approaches to modelling these epidemics using R. You will examine h

• Distinguish between stochastic and deterministic models and perform simulations
• Design and simulate transmission models with population structure
• Evaluate and code Ross MacDonald model using R
• Critically assess modelling studies and communicate findings