The course will provide an overview of the mathematical modelling of the spread of infectious disease within populations and equip students to use mathematical models to describe real-world disease incidence data. Topics include: ordinary differential equation models of endemic, epidemic and pandemic diseases; model selection, data fitting and parameter estimation.

Antirequisite(s): Applied Mathematics 3615A/B, if taken in the 2020-21 or 2021-22, and Mathematics 4958B, if taken in 2022-23 with the topic “Covid Modelling”.

Prerequisite(s): Applied Mathematics 2402A/B or Statistical Sciences 2503A/B or Numerical and Mathematical Methods 2270A/B. Recommended: Applied Mathematics 3615A/B and Applied Mathematics 2814A/B as pre- or co-requisites.

Extra Information: 3 lecture hours.