Application of the ARIMA model on the COVID-2019 epidemic dataset

• Published in: Data in brief Vol. 29; p. 105340
• Main Authors: Benvenuto, Domenico, Giovanetti, Marta, Vassallo, Lazzaro, Angeletti, Silvia, Ciccozzi, Massimo
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.04.2020; Elsevier
• Subjects: ARIMA model; COVID-19 infection; COVID-2019 epidemic; data collection; econometric models; evolution; Forecast; Immunology and Microbiology; Infection control; prediction; ARIMA model; COVID-2019 epidemic; Forecast; Infection control

Coronavirus disease 2019 (COVID-2019) has been recognized as a global threat, and several studies are being conducted using various mathematical models to predict the probable evolution of this epidemic. These mathematical models based on various factors and analyses are subject to potential bias. H...