Infectious Disease Modelling: Applied Methods in R

Infectious disease modelling is a growing field and can provide valuable insights into the spread and control of infectious diseases.By fitting models of disease transmission and recovery to data, we can evaluate potential interventions and scenarios through fixed metrics, such as the basic reproduction number (or R number), or by comparing forward predictions using the outcomes of stochastic simulations.This course provides an introduction to implementing and summarising models of infectious disease in the statistical programming language R, with a particular focus on modelling for policy and the importance of communicating uncertainty. No previous experience with modelling or using R is required.