Efficient and Short-Range Forecasting Model for COVID-19 Time Series Parameters - Daily Confirmed Cases, Deaths, Recoveries
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 11, Pages 2143-2153
AbstractCoronavirus cases maintain to sore up to 16.2 Million worldwide. Human beings globally had been pronounced to be intensified by the virus as almost 6.5 Lakh human beings have misplaced their lives. Researchers throughout the arena are making attempts to forecast the movement of this pandemic, using Artificial Intelligence (AI). In this paper, we are using Prophet Model to forecast the daily number of new cases, new deaths, and new recoveries that would be brought about by COVID-19 in India. A dataset of 179 (30 January 2020 to 24 July 2020) days is used for training the proposed model, and we forecasted values for the next 15 days, i.e. till 08 August 2020. The forecasted data obtained by the proposed method is accurate within a certain range and will be very beneficial in promoting the understanding of the spreading pattern of COVID-19 across the nation.
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