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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 R statistical software. Knowledge of R is beneficial but not required if you have worked with SPSS, Stata, SAS or other statistical software already. Topics include coverage errors, complex sampling, nonresponse adjustment, measurement error, and analysis of incomplete 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.

This one-week course aims to enhance the participant's knowledge and understanding of major health challenges with a focus on chronic non-communicable diseases globally. The topics discussed range from burden of and risk factors for chronic non-communicable diseases, epidemiologic transition and globalisation, to the effects of early life environment, environmental changes on health, the intersection of communicable and non-communicable diseases and effective approaches for disease prevention and management.