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(Source: SUTD data-driven innovation lab)

NEW DELHI: In India May 24 could be the end date of the coronavirus, as per estimates made by a Singapore-based data lab. The end date does not mean end of coronavirus in India but the date by when 97% of the total expected coronavirus cases in India will be realised.However, researchers warned the readers to take any predictions with caution. Too much optimism based on some predicted end dates is dangerous as it may loosen disciplines and cause the turnaround of the virus and infection which must be avoided at all costs.As per the SUTD data-driven innovation lab, in India 97% of the coronavirus cases will be realised by May 25 and 99% by June 20. As per the data analysis, only by August 1, will India be able to realise 100% of the total expected cases of coronavirus. May 24 is the start of the green region in the graph.Similarly in the US, May 14 has been estimated as the end date which is the time for realizing 97% of the total expected coronavirus cases and is the start of the green region in the graph. As per the data lab, the US will realise 100% cases around September 4.The world could witness the realisation of 97% of the expected coronavirus cases by May 29; 99% by June 16 and 100% realisation of the expected cases by November 26.As per the estimated by SUTD data-driven innovation lab, in Italy around May 8, 97% of the expected coronavirus cases will be realised. Prime Minister Conte has announced that the coronavirus lockdown measures will be eased starting from May 4.As per estimates based on data, in Spain May 1 is the estimated date for realizing 97% of the total expected epidemic cases. It is the start of the green region in the graph.As per data-based estimates, in the United Kingdom May 16 is the estimated date for realising 97% of the total expected epidemic cases. It is the start of the green region in the graph. The UK could realise 99% of cases by May 29 and 100% expected coronavirus cases by August 20.Content from this website is STRICTLY ONLY for educational and research purposes and may contain errors. The model and data are inaccurate to the complex, evolving, and heterogeneous realities of different countries. Predictions are uncertain by nature. Readers must take any predictions with caution. Overly optimism based on some predicted end dates is dangerous because it may loosen our disciplines and controls and cause the turnaround of the virus and infection, and must be avoided.