In recent years mathematical modelling 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 modelling.
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 human and veterinary infections such as HIV, childhood infections, influenza, and vector borne diseases. The principles of modelling 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 modelling techniques. Topics are among others: basic reproduction ratio, deterministic and stochastic models, population heterogeneity, statistical inference, population biology and vaccination.
Period
04-07-2011 - 15-07-2011 (2 weeks)
Target group
The target group are students and professionals in epidemiology, applied mathematics, biology, biostatistics, and related fields.
Course aim
To provide basic knowledge and insights about formulation and analysis of mathematical models of infectious diseases.
Credits
3.0 ECTS credits+ Certificate of Attendance
Course fee
EUR 1735: Course + course materials + housingStudents can also choose to attend the first week of the course only. The course fee for one week is 855,- (excluding housing).
EUR 1400: Course + course materials
Course leader
Mirjam Kretzschmar
Scholarships
Utrecht Summer School doesn't offer scholarships for this course.
Utrecht University
Address: PO BOX 80148
Postal code: 3508 TC
City: Utrecht
Country: Netherlands
Website: http://www.utrechtsummerschool.nl
E-mail: summerschool@uu.nl
Phone: 0031302534400
Mathematical Modelling of Infectious Diseases
