COVID-19: A Comparison of Time Series Methods to Forecast Percentage of Active Cases per Population

COVID-19: A Comparison of Time Series Methods to Forecast Percentage of Active Cases per Population

The ongoing COVID-19 pandemic has caused worldwide socioeconomic unrest, forcing governments to introduce extreme measures to reduce its spread. Being able to accurately forecast when the outbreak will hit its peak would significantly diminish the impact of the disease, as it would allow governments...

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Bibliographic Details
Main Authors:	Vasilis Papastefanopoulos, Pantelis Linardatos, Sotiris Kotsiantis
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Series:	Applied Sciences
Subjects:	pandemic COVID-19 coronavirus machine learning statistics time-series
Online Access:	https://www.mdpi.com/2076-3417/10/11/3880

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