BIFM: Big-Data Driven Intelligent Forecasting Model for COVID-19

Ever since the pandemic of Coronavirus disease (COVID-19) emerged in Wuhan, China, it has been recognized as a global threat and several studies have been carried out nationally and globally to predict the outbreak with varying levels of dependability and accuracy. Also, the mobility restrictions ha...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.97505-97517
Hauptverfasser:	Dash, Sujata, Chakraborty, Chinmay, Giri, Sourav Kumar, Pani, Subhendu Kumar, Frnda, Jaroslav
Format:	Artikel
Sprache:	eng
Schlagworte:	ARIMA models autocorrelation function Autoregressive models Biological system modeling Computational modeling Coronaviruses COVID-19 Diseases Forecasting Goodness of fit infectious disease Ljung-box test Machine learning Outbreaks Pandemics partial autocorrelation function Predictive models Public transportation time series models transportation Transportation industry Viral diseases white residual
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