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Infectious Disease Dynamics
Last Updated: 2026-06-01 11:33:01
Abstract
This course introduces into current research on the population biology of infectious diseases. The course discusses the most important mathematical tools and their application to relevant diseases of human, natural or managed populations.
Objective
Attendees will learn about: * the impact of important infectious pathogens and their evolution on human, natural and managed populations * the population biological impact of interventions such as treatment or vaccination * the impact of population structure on disease transmission Attendees will learn how: * the emergence spread of infectious diseases is described mathematically * the impact of interventions can be predicted and optimized with mathematical models * population biological models are parameterized from empirical data * genetic information can be used to infer the population biology of the infectious disease The course will focus on how the formal methods ("how") can be used to derive biological insights about the host-pathogen system ("about").
Content
After an introduction into the history of infectious diseases and epidemiology the course will discuss basic epidemiological models and the mathematical methods of their analysis. We will then discuss the population dynamical effects of intervention strategies such as vaccination and treatment. In the second part of the course we will introduce into more advanced topics such as the effect of spatial population structure, explicit contact structure, host heterogeneity, and stochasticity. In the final part of the course we will introduce basic concepts of phylogenetic analysis in the context of infectious diseases.
Resources
Lecture Notes
Slides and script of the lecture will be available online.
Literature
The course is not based on any of the textbooks below, but they are excellent choices as accompanying material: * Keeling & Rohani, Modeling Infectious Diseases in Humans and Animals, Princeton Univ Press 2008 * Anderson & May, Infectious Diseases in Humans, Oxford Univ Press 1990 * Murray, Mathematical Biology, Springer 2002/3 * Nowak & May, Virus Dynamics, Oxford Univ Press 2000 * Holmes, The Evolution and Emergence of RNA Viruses, Oxford Univ Press 2009
General Information
- Language
- English
- Levels
- BSC , DR , MSC
- Frequency
- Yearly recurring
Examination
- Type
- end-of-semester examination
- Mode
- oral 20 minutes
Registration & Places
- Max Places
- 90
- Signup End
- 28.02.2025
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Infectious Disease Dynamics |
|
2 h weekly |
Offered In
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Weitere Wahlfächer aus den Vertiefungsgebieten (RW Master) (227-0662-00L und 227-0662-10L sind nur zusammen anrechenbar)
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Computational Biology and Bioinformatics Master (More informations at: )
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Vertiefungsfächer (A total of 30 ECTS needs to be acquired in the Advanced Courses category. Thereof at least 16 ECTS in the Theory and 10 ECTS in the Biology category.)
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Biologie (At least 10 ECTS need to be acquired in this category.)
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Allgemeine Wahlfächer (Den Studierenden steht das gesamte Lehrangebot der ETH Zürich zur individuellen Auswahl offen - mit folgenden Einschränkungen: Lehrveranstaltungen aus den ersten beiden Studienjahren eines Bachelor-Curriculums der ETH Zürich sowie Lehrveranstaltungen aus GESS "Wissenschaft im Kontext" sind nicht als allgemeines Wahlfach anrechenbar. Die Dozierenden folgender Lehrveranstaltungen empfehlen sie ausdrücklich den Studierenden der Physik. (Für die Lehrveranstaltungen in dieser Liste können Sie die Kategorie "Allgemeine Wahlfächer" direkt in myStudies zuordnen. Für die Kategoriezuordnung anderer zugelassener Lehrveranstaltungen lassen Sie bei der Prüfungsanmeldung "keine Kategorie" ausgewählt und wenden Sie sich nach dem Verfügen des Prüfungsresultates an das Studiensekretariat ( ).))
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Doktorat Umweltsystemwissenschaften (Mehr Informationen unter: )
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Modul: Infektionskrankheiten (Studierende in der Vertiefung Gesundheit, Ernährung und Umwelt: Es muss mindestens ein Kurs aus diesem Modul gewählt werden.)
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