Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks

• Published in: Applied soft computing Vol. 96; p. 106626
• Main Authors: Hazarika, Barenya Bikash, Gupta, Deepak
• Format: Journal Article
• Language: English
• Published: United States Elsevier B.V 01.11.2020
• Subjects: Coronavirus disease; COVID-19; Random vector functional link; SARS-CoV-2; Time series forecasting; Wavelets; COVID-19; Time series forecasting; Wavelets; SARS-CoV-2; Coronavirus disease; Random vector functional link

Researchers around the world are applying various prediction models for COVID-19 to make informed decisions and impose appropriate control measures. Because of a high degree of uncertainty and lack of necessary data, the traditional models showed low accuracy over the long term forecast. Although th...