COVID-19 Forecast for India and Active infections estimate (fraction of population)
PLEASE VISIT OFFICIAL WEBSITE FOR BETTER UNDERSTANDING : http://epidemicforecasting.org
http://epidemicforecasting.org was created by a team of research scholars from the Future of Humanity Institute, University of Oxford, together with a large number of volunteer collaborators, after an original idea by Jan Kulveit.
- Jan Kulveit (Senior Research scholar, Future of Humanity Institute, University of Oxford).
- Jacob Lagerros (Research scholar, Future of Humanity Institute, University of Oxford)
- Ozzie Gooen (Research scholar, Future of Humanity Institute, University of Oxford)
- Nora Ammann (Project manager, Future of Humanity Institute, University of Oxford)
- David Johnston (PhD, Australian National University)
- Daniel Hnyk (Engineering manager, GlobalWebIndex)
- Peter Hrosso (Founder & tech lead, Aird Works)
- Ondřej Švec (Software engineer, Google)
- Jan Pipek (Data scientists, DT One)
- Jan Losert (Product designer, Webflow)
- Tomáš Gavenčiak (Independent researcher)
- Mati Roy (Analyst, Ought)
- Matej Vrzala (Web developer, Metaculus)
- Jerome Ng (Engineering manager, GitLab)
- Mathijs Henquet (Student, Utrecht University)
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).
COVID-19 Forecast for India
India
ESTIMATED ACTIVE INFECTIONS
Apr 2, 2020 update: Active Infections: 72,658 Confirmed Infections: 2280
PLEASE VISIT OFFICIAL WEBSITE FOR BETTER UNDERSTANDING : http://epidemicforecasting.org
Vacancy Announcement for Various Positions- MoSD, Province No. 1
WHO Director-General’s opening remarks at the media briefing on COVID-19 – 10 April 2020
COVID-19 fallout could push half a billion people into poverty in developing countries
WHO Director-General’s opening remarks at the media briefing on COVID-19 – 8 April 2020
COVID-19 Forecast for Nepal and Active infections estimate (fraction of population)
In India, from Jan 31 to 2:00am CEST, 11 April 2020, there have been 7,447 confirmed cases of COVID-19 with 239 deaths.
