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However, the researchers cautioned readers to take any prediction with caution. Too much optimism based on some predicted end dates is dangerous, as it can loosen disciplines and cause virus and infection change to be avoided at all costs.
According to SUTD’s data-driven innovation lab, in India 97% of coronavirus cases will be done before May 25 and 99% before June 20. According to the data analysis, only before August 1, India will be able to carry out 100% of the total expected cases of coronavirus. May 24 is the beginning of the green region on the chart.
United States of America
Similarly, in the US In the US, May 14 has been estimated as the end date, which is the time to get 97% of the total expected coronavirus cases and is the beginning of the green region on the graph. According to the data lab, the United States will account for 100% of the cases around September 4.
World
The world could witness the completion of 97% of the expected coronavirus cases before May 29; 99% by June 16 and 100% completion of the expected cases by November 26.
Italy
As estimated by the innovation laboratory based on SUTD data, in Italy around May 8, 97% of the expected coronavirus cases will be carried out. Prime Minister Conte has announced that the coronavirus blocking measures will be eased from May 4.
Spain
According to estimates based on data, in Spain May 1 is the estimated date to carry out 97% of the total expected epidemic cases. It is the beginning of the green region on the graph.
United Kingdom
Based on data-based estimates, in the United Kingdom, May 16 is the estimated date to perform 97% of all expected epidemic cases. It is the beginning of the green region on the graph. The UK could carry out 99% of cases by May 29 and 100% of coronavirus cases expected by August 20.
* Disclaimer: The content of this website is STRICTLY FOR educational and research purposes ONLY and may contain errors. The model and data are inaccurate to the complex, evolutionary and heterogeneous realities of different countries. Predictions are uncertain by nature. Readers should take any prediction with caution. Excessive optimism based on some expected end dates is dangerous because it can loosen our disciplines and controls and lead to virus and infection change, and should be avoided.
(Source: SUTD data-driven innovation lab)