Summerschool on Modelling Infectious Diseases and Health Economics
(7-11 September 2020)

We incorporated our yearly course into the Antwerp Summer University and welcome the Institute of Tropical Medicine Antwerp as partner in this initiative. In addition, the 2020 edition contains a second course track on network modelling for epidemics. The latter will be taught by Martina Morris, Steve Goodreau and Samuel Jennes from the University of  Washington. More info and a link to register are provided via our course page.

[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.

(*Tracks 1a and 1b can be followed separately)


Course on Modelling Infectious Diseases and Health Economic Evaluation of Vaccines (2010-2015,2018,2019)

  • Day 1 Introduction to Mathematical  models for infectious diseases (using R)
  • Day 2 Inferring parameters from data (using R)
  • Day 3 Meta-population and agent-based models (using R)
  • Day 4 Introduction to health economic evaluation: general concepts and uncertainty (using R and MS Excel)
  • Day 5 Economic evaluation of vaccination programmes: specific issues (using R and MS Excel)

Summer Course in Public Health Modeling @YALE  (17-19 June 2019)

This “crash course” is intended to provide the fundamentals of modeling and public health decision-making, including cost-effectiveness analysis and health care operations (and not just infectious disease modeling). More info at


Epidemiological evaluation of vaccines: efficacy, safety and policy (July 2018)

Anthony Scott and Stefan Flasche run an intensive 2-week course on The Epidemiological Evaluation of Vaccines at LSHTM.  In 2018, the course will run from 2rd to 13th July. Although there are several courses in vaccinology, few are aimed at advanced epidemiological tools for vaccine evaluation. This course fills that gap, providing an understanding of the methods used in the evaluation of vaccines from early clinical trials through to assessment of population impact, modelling, cost-effectiveness analysis, safety surveillance and policy. It aims to tackle issues in high, middle and low income countries.

Further information can be found at the webpage or the leaflet.


Individual-based Modelling in Epidemiology: a Practical Introduction (3th edition in May 2018)

Individual-based model, also frequently referred to as agent-based models, are a relatively new class of models suited to gain insight into the population dynamics of complex systems that emerge from the characteristics and interactions of individuals in the population. Throughout the course there will be a strong focus on the practical implementation and analysis with R and NetLogo.  The course will be in English and is based on three “class-room examples” (HIV, influenza and malaria) to illustrate the theoretical concepts and methods. By the end of the week, participants will be able to develop their own (extensions of an) individual-based model, which they will present in small teams on the final day of the course. Please find more info on the second edition in 2017 edition here.


Course on Modelling Infectious Diseases and Health Economic Evaluation of Vaccines (2010-2015,2018)


  • Day 1: General introduction to R
  • Day 2: Mathematical models for infectious diseases
  • Day 3: Estimating infectious disease parameters from serological and social contact data (Day 3)
  • Day 4: Health economic evaluations: general concepts & dealing with uncertainty
  • Day 5: Health economic evaluations: vaccination programs