Modeling and Forecasting Cases of RSV Using Artificial Neural Networks

In this paper, we study and present a mathematical modeling approach based on artificial neural networks to forecast the number of cases of respiratory syncytial virus (RSV). The number of RSV-positive cases in most of the countries around the world present a seasonal-type behavior. We constructed a...

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Bibliographic Details
Main Authors: Myladis R. Cogollo, Gilberto González-Parra, Abraham J. Arenas
Format: article
Language:EN
Published: MDPI AG 2021
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Online Access:https://doaj.org/article/119951f3937c4bfabc088e36a0195a36
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