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The course focuses on concepts and methods of mathematical modelling of infectious diseases. Starting from basic assumptions on transmission of infection models will be formulated and key quantities will be derived. Mathematical tools to formulate and analyse compartmental infectious disease models will be introduced and applications to specific infectious diseases and intervention strategies will be discussed. Students will develop their own models using specialized software.

The course is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using both SPSS and R. Topics include complex sampling, nonresponse adjustment, measurement error, analysis of incomplete data and advanced use of administrative data. Special attention will be given to the analysis of complex surveys that include weighting, stratification and design effects.

Changes in technology and society strongly influence modern survey research. This course covers the essentials of modern survey methodology, organized by the Department of Methodology and Statistics. Central to the course is survey quality and the reduction of Total Survey Error (coverage, sampling, nonresponse, including questionnaire and mode effects), while balancing logistics and survey costs. Best practice guidelines for surveys from design to implementation, analysis and reporting will be discussed.