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Proof_Read_Forecasting Models for Coronavirus COVID19_4_April.pdf (530.89 kB)

Forecasting Models for Coronavirus (COVID-19): A Survey of the State-of-the-Art

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posted on 10.04.2020, 03:18 by Parikshit Mahalle, Asmita B. Kalamkar, Nilanjan Dey, Jyotismita Chaki, Aboul ella Hassanien, Gitanjali R. Shinde
When new virus and its respective disease cause more infections, it is very important to decide the strategies to control the spread and determine its impact. Considering the recent example of Coronavirus initially identified in Wuhan China has now targeted Italy badly, It is very important to study different forecasting models to control this pandemic. In the view of this, this study present the comparative analysis of various forecasting models, their classification and the techniques used. The detail analysis of forecasting models with respect to the parameters like data source, techniques, algorithms, mathematical parameters is also presented in this study. In the sequel, this study also presents useful recommendations to help government and healthcare community in designing better strategies and in taking productive decisions to control this outbreak.

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aalborg.pnm@gmail.com

Submitting Author's Institution

Sinhgad Institutes's Smt. Kashibai Navale College of Engineering, Department of Computer Engineering, Pune

Submitting Author's Country

India

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