An Artificial Neural Network-Based Approach for Predicting the COVID-19 Daily Effective Reproduction Number <i>R<sub>t</sub></i> in Italy

An Artificial Neural Network-Based Approach for Predicting the COVID-19 Daily Effective Reproduction Number <i>R<sub>t</sub></i> in Italy

Since December 2019, the novel coronavirus disease (COVID-19) has had a considerable impact on the health and socio-economic fabric of Italy. The effective reproduction number <i>R<sub>t</sub></i> is one of the most representative indicators of the contagion status as it repo...

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Bibliographic Details
Main Authors:	Andrea Gatto, Valeria Aloisi, Gabriele Accarino, Francesco Immorlano, Marco Chiarelli, Giovanni Aloisio
Format:	Article
Language:	English
Published:	MDPI AG 2022-02-01
Series:	AI
Subjects:	accurate daily forecasts artificial neural networks COVID-19 effective reproduction number <i>R<sub>t</sub></i> epidemiological factors Italian regions
Online Access:	https://www.mdpi.com/2673-2688/3/1/9

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