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Course module: BMB524817
Mathematical Modelling of Infectious Diseases
Course info
Course codeBMB524817
ECTS Credits3
Category / LevelM (Master)
Course typeCourse
Language of instructionDutch
Offered byFaculty of Medicine; Graduate School of Life Sciences; Epidemiology;
Contact personM.E.E. Kretzschmar
Contactperson for the course
M.E.E. Kretzschmar
Other courses by this lecturer
Teaching period
MASTER  (20/08/2018 to 17/08/2019)
Teaching period in which the course begins
Time slot-: Not in use
Study mode
Course application processadministratie onderwijsinstituut
Enrolling through OSIRISNo
Enrolment open to students taking subsidiary coursesNo
Waiting listNo
Course placement processadministratie onderwijsinstituut
After completing this course the student:
  1. understands the basic concepts of infectious disease modelling;
  2. has the ability of formulating and analyzing a simple model;
  3. has knowledge of how to estimate some basic parameters.
Period (from-till): 8 - 19 July 2019

Egil Fischer, Faculty of Veterinary Medicine, Department of Farm Animal Health
Martin Bootsma, UMCU, Julius Center of Health Sciences and Primary Care, Department of Epidemiology
Mirjam Kretzschmar, UMCU, Julius Center of Health Sciences and Primary Care, Department of Epidemiology
And many others

Course description:
In recent years mathematical modeling has become a valuable tool in the analysis of infectious disease dynamics and to support the development of control strategies. This course will give a thorough introduction to the conceptual ideas and mathematical tools needed for infectious disease modeling.

The focus will be on the dynamics of infectious diseases, the analysis of transmission patterns in various populations and methods to assess the effectiveness of control strategies. These methods will be illustrated with examples of specific infections such as HIV, childhood infections, influenza, and vector borne diseases. The principles of modeling will be addressed in the first week of the course and expanded to more in-depth level in the advanced second week of the course.

The aim is to provide the participants with the knowledge to evaluate and judge infectious disease epidemiology research and data analysis using mathematical modeling techniques. Topics are among others: basic reproduction ratio, deterministic and stochastic models, population heterogeneity, statistical inference, population biology and vaccination. Participants will learn to design and analyze mathematical models using specialized software.

DEELNAME Active participation (80% presence is required)  
EINDTOETS End test 50%
PRESENT Presentation 1 10%
PRESENT Presentation 2 40%
Literature/study material used:
  • Scientific papers
  • Handouts ppt presentations  
Contact details: Educational Office Epidemiology

Registration: – learning environment

Mandatory for students in own Master’s programme:
Yes, EPIM/EPMM students for specific ONEH students.
Optional for students in other GSLS Master’s programme:
Prerequisite knowledge:
Students should have a BSc in Biology, Biomedical Sciences, College of Pharmaceutical Sciences, Medicine, Veterinary Medicine or any other relevant BSc in a Life Sciences field.
Entry requirements
You must meet the following requirements
  • Enrolled for a degree programme of faculty Faculty of Medicine
Required materials
Instructional formats
Computer practical


Final result
Test weight100
Minimum grade5.5

Kies de Nederlandse taal