The Mathematics and Statistics of Infectious Disease Outbreaks

The course gives an introduction to the mathematical and statistical modelling of infectious diseases.

The aim of the course is to gain understanding of models for the spread of infectious diseases and to draw conclusions from observations of an ongoing outbreak. The contents of the course includes basic models for the spread of infectious diseases and their basic properties, simulation of more complicated epidemic models and finally statistical methods for estimating parameters and predicting the outcome of an epidemic.

The course consists of two elements; theory and project.


Teaching Format

Teaching consists of lectures and supervision of project work. The course is given in English, and has no mandatory teaching.


Assessment

The course is assessed in the following manner:

  • Written exam for the theory part.
  • Hand-in assignments for the project work.

Both parts are graded according to a 7-point scale. In order to pass, a grade of at least E is required for both parts of the course. The final grade combines the grades of the two parts of the course, weighted according to their numbers of credits.

Examiner

A list of examiners can be found on

Exam information

The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.


Note that the course literature can be changed up to two months before the start of the course.

No mandatory literature.

Recommended supplementary reading:
Books:

  • Becker, N, Modeling to Inform Infectious Disease Control (2015)
  • Diekmann O, Heesterbeek H, Britton T, Mathematical Tools for Understanding Infectious Disease Dynamics (2013)
  • Keeling MJ, Rohani P, Modeling Infectious Diseases (2008)

Articles:

  • Britton, T. Epidemic models on social networks - With inference (2020) Statistica Neerlandica 74 (3), 222-241.
  • Britton, T. (2010) Stochastic epidemic models: a survey. Math. Biosci, 225, 24-35.

List of course literature Department of Mathematics

Course reports are displayed for the three most recent course instances.


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Course web

You can find our course webpages on kurser.math.su.se.