Resources


You are welcome to contribute to Epidemix!

If you would like to share a parameter set or any teaching materials for Epidemix with other users, please contact Guillaume (gfournie@rvc.ac.uk). Thanks to everyone who has already shared their materials.

Infectious Disease Modelling with Epidemix

Gianluigi Rossi (The Roslin Institute)

September 2022 | Available here

This tutorial covers the following:

  • Introduction to models with Epidemix
  • Cholera and outbreak dynamics
  • Influenza modelling

Webinar | Modelling the spread of AI

Prof Dirk Pfeiffer, Dr Guillaume Fournié & Dr Petra Muellner

March 2022

Compartmentalisation Guidelines - African Swine Fever

World Organisation for Animal Health

March 2021 | Available here

The World Organisation for Animal Health (OIE) has developed a set of guidelines that aim to assist OIE Members and stakeholders of the pig industry in the practical implementation of compartmentalisation, specifically for African Swine Fever (ASF).  Epidemix is used in the guidelines to demonstrate how dynamic modelling can help risk management, support stakeholder interactions and assist in the design of rapid detection surveillance systems. Epidemix’s ASF model helps demonstrate the importance of different transmission characteristics and allows users to explore different disease introduction scenarios.

Disease transmission and scientific workflow

Kam Dahlquist (Loyola Marymount University)

February 2021 | Available here

This tutorial covers the following learning objectives:

  • To explore an interactive model of disease transmission.
  • To practice documenting your scientific workflow in the service of reproducible research.

Webinar | Epidemix V2: Modelling ASF and COVID-19

Prof Dirk Pfeiffer, Dr Guillaume Fournié & Dr Petra Muellner

November 2020

Modelling Infectious Diseases

Kim VanderWaal (University of Minnesota)

July 2020 | Available here

An exercise using Epidemix to familiarize students with principles of infectious disease modeling; including assumptions, parameterization and usage, the influence of contact rate and heterogeneity on disease dynamics, and how models can be used to predict outcomes of disease control strategies.

Visualizing the dynamics of COVID‐19 modeling with dental students

Brian E. Laurence, Cheryl E. Fryer, Jezelle Sonnier, Dorienne Taylor‐Bishop (Howard University College of Dentistry)

Journal of Dental Education 2020; 1-2

06 August 2020 | Available here