Author: Tanujit Chakraborty; Indrajit Ghosh
Title: Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis Document date: 2020_4_14
ID: ba6mdgq3_8
Snippet: Five univariate time-series datasets are collected for the real-time prediction purpose of COVID-19 cases for India, Canada, France, South Korea, and the UK. Several previous studies have forecasted future COVID cases for China and a few other countries using mathematical and traditional time series forecasting models, for details see [29; 21; 34; 20; 36] . We try to nowcast the COVID-19 cases of five different countries based on their past cases.....
Document: Five univariate time-series datasets are collected for the real-time prediction purpose of COVID-19 cases for India, Canada, France, South Korea, and the UK. Several previous studies have forecasted future COVID cases for China and a few other countries using mathematical and traditional time series forecasting models, for details see [29; 21; 34; 20; 36] . We try to nowcast the COVID-19 cases of five different countries based on their past cases. For India and UK, we consider the daily laboratory-confirmed cases from January 30, 2020, through April 4, 2020 and from January 31, 2020 through April 4, 2020, respectively, for model building. Daily COVID-19 cases data for Canada, France, and South Korea are taken for the time period January 20, 2020 through April 4, 2020, January 25, 2020 through April 4 2020, and January 26 through April 4 2020, respectively.
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