TEAM
EpidemicForecasting.org was created by a team of research scholars from the Future of Humanity Institute, University of Oxford, with collaborators from Australian National University, Harvard University and a number of volunteer data scientists and developers from Google, GitLab and other organisations.
Our research is led by Jan Kulveit (Senior Research Scholar, University of Oxford). The project is managed by Jacob Lagerros (Research Scholar, University of Oxford). To contact us please use the form below.
Our modelling is in part based on
- GLEAMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale. W. Van den Broeck, C. Gioannini, B. Gonçalves, M. Quaggiotto, V. Colizza, and A. Vespignani. BMC Infectious Diseases 11, 37 (2011).
- Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility. D. Balcan, H. Hu, B. Gonçalves, P. Bajardi, C. Poletto, J. J. Ramasco, D. Paolotti, N. Perra, M. Tizzoni, W. Van den Broeck, V. Colizza, and A. Vespignani. BMC Medicine 7, 45 (2009).
- Modeling the spatial spread of infectious diseases: The Global Epidemic and Mobility computational model. D. Balcan, B. Gonçalves, H. Hu, J. J. Ramasco, V. Colizza, and A. Vespignani. Journal of Computational Science 1, 132 (2010).
Active datasets
- GLEAM simulation definitions with infection estimates
- Results data (JSON, see the specification)
- Country containment measures
- Country spreads map data
License of the output data
The original scenario's output data are licensed under CC0
