Model Fitting and Inference for Infectious Disease Dynamics London School of Hygiene and Tropical Medicine

Overview

With this Model Fitting and Inference for Infectious Disease Dynamics course offered by London School of Hygiene and Tropical Medicine we aim to bridge the gap between state-of-the-art statistical inference methods and training in infectious disease modelling. 

What you will study

• There is a growing demand for mathematical modellers in public health to explain observed disease trends and predict the outcome of interventions, often by synthesising information from different data sources. 
• At the same time, increasing computational power and methodological advances are providing exciting opportunities to fit ever more complex mechanistic models to data. In light of the speed of methodological advances and the broad nature of the field, the task of choosing from the available methods and packages, as well as putting them into practice, can be daunting.

• We will introduce key terminology from frequentist and Bayesian approaches as well as methods ranging from Markov-Chain Monte Carlo (MCMC) to particle filters and Approximate Bayesian Computation (ABC).