Textbook: O. Diekmann, H. Heesterbeek and T. Britton: Mathematical Tools for Understanding Infectious Disease Dynamics. Princeton University Press, 2012; ISBN-10: 0691155399.
The course will cover the following chapters of the textbook: chapters 1-9, 12 (with the exception of 8.2, but with added material on the evolution of pathogens).
The set of additional exercises and the model exam are optional. We can discuss them, as well as any questions you have, on 12-13 December. If you are generally comfortable with the techniques we have used, do #7 of the additional exercises as a "crowning" exercise.
EXAM: Written exam with problems similar to the exercises of the textbook. You may use one A4 paper of your own notes ("cheat sheet") in the exam. The final grade is a combination of the exam grade (with weight 2/3) and course activity (presentations, exercises, end-chapter quick tests (no cheat sheet!) with weight 1/3).
EXAM TIMES: Mon 16 December 10.15-13.00 in the lecture room, Exactum B121. We can have more exams, email me if 16 December is not good for you.
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Master's Programme in Life Science Informatics is responsible for the course.
The course belongs to the Mathematics and Applied mathematics module.
The course is available to students from other degree programmes.
BSc courses on differential equations, linear algebra, probability theory
Modelling the dynamics of infectious diseases using a variety of mathematical techniques (differential equations, renewal equations, stochastic models, network models).
Recommended time/stage of studies for completion: 1. or 2. year
Term/teaching period when the course will be offered: varying
This course is an introduction to mathematical modelling of the dynamics of infectious diseases in human and other populations. The topics include the basic models of epidemics (e.g. SIR); the basic reproduction number (R0); vaccination; the final size of an epidemic; persistence; the evolution of pathogens; diseases in small communities; time to extinction; epidemics in structured host populations; multi-level mixing (households); epidemics on networks. The course is given as a book-reading course based on a textbook that approaches much of the material via problem-solving. Lectures and exercise classes are combined; next to traditional lectures, also students present sections of the book and discuss the solutions of the problems.
O. Diekmann, H. Heesterbeek and T. Britton: Mathematical Tools for Understanding Infectious Disease Dynamics. Princeton University Press, 2012; ISBN-10: 0691155399.
Lectures, student presentations, problem solving
Exam and course activity (presentations and problem solving), Course will be graded with grades 1-5
Exam, other methods will be described later