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COVID-19 Forecast for Nepal and Active infections estimate
(Last updated: May 18, 23:30)
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.
This research is led by Jan Kulveit (Senior Research Scholar, University of Oxford). The project is managed by Jacob Lagerros (Research Scholar, University of Oxford).
This 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).
ESTIMATED ACTIVE INFECTIONS
COVID19: WHO calls for stronger whole of society approach in South-East Asia Region
Guideline for use of Personal Protective Equipments in relation to COVID-19 in Nepal
