Ementorhub

What you'll learn

Construct valid mathematical models capturing the natural history of a given infectious disease.

Implement a mathematical model in R, calibrating it against epidemiological data in order to estimate key model parameters

Use a calibrated model to create model projections for different intervention scenarios

Explain the strengths and limitations of a mathematical model in relation to given research and policy questions

Skills you'll gain

Statistical Methods

Differential Equations

Mathematical Modeling

R Programming

Epidemiology

Infectious Diseases

Public Health

Statistical Modeling

Simulations

Specialization - 3 course series

The specialisation will suit you if you have a basic working knowledge of R, but would also like to learn the necessary basic coding skills to write simple mathematical models in this language. While no advanced mathematical skills are required, you should be familiar with ordinary differential equations, and how to interpret them. You'll receive clear instruction in the basic theory of infectious disease modelling alongside practical, hands-on experience of coding models in the programming language R.

Interventions and Calibration

Building on the SIR Model