We organize a modelling course where participants can choose between mathematical and health economic models for airborne and close-contact diseases or network models for epidemics. The course is arranged as 2 parallel tracks:
[Track 1a]* Mathematical Infectious Disease Models (Monday-Wednesday)
Mathematical models are increasingly used to study infectious disease transmission and reactive strategies. In this track, we handle basic concepts of disease transmission models, parameter estimation and social contact patterns. The tutorials in R range from deterministic compartmental models up to stochastic individual-based models.
[Track 1b]* Health Economics for Vaccines (Thursday-Friday)
How to evaluate health interventions with the objective to obtain maximum health outcomes for a given health budget? In this track, we elaborate on cost-effectiveness and cost-benefit analysis for infectious disease interventions. We demonstrate how to deal with different types of uncertainty and discuss differences to evaluate preventive versus curative health care technologies.
[Track 2] Network Modelling for Epidemics (Monday-Friday)
This track introduces deterministic- and stochastic models though focuses on the theory, methods of network models with applications for e.g. HIV. The course uses a mix of lectures, tutorials and projects in small groups using the EpiModel software package in R. On the final day, participants develop a prototype model.
Evaluation: To award ECTS credits, participants are evaluated on a report of a case-study linked to the course material, which has to be send in one month after the course.
A certificate of attendance will be provided for each participant.
(*Tracks 1a and 1b can be followed separately)
Experience with R is a plus, though we provide basic info upfront and are there to help you.