SIMID | Simulation Models of Infectious Disease

Training & Courses

We’re committed to fostering learning and professional development opportunities for individuals passionate about tackling global health challenges.

Whether you’re a seasoned researcher seeking advanced training or a newcomer eager to explore the fundamentals of infectious disease modeling, our courses and workshops cater to diverse skill levels and interests. Led by experts in the field, our programs cover a wide array of topics, including epidemiology, mathematical modeling, data analysis, and public health policy.

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.