Expert System to Model and Forecast Time Series of Epidemiological Counts with Applications to COVID-19

Expert System to Model and Forecast Time Series of Epidemiological Counts with Applications to COVID-19

We developed two models for real-time monitoring and forecasting of the evolution of the COVID-19 pandemic: a non-linear regression model and an error correction model. Our strategy allows us to detect pandemic peaks and make short- and long-term forecasts of the number of infected, deaths and peopl...

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Bibliographic Details
Main Authors: Beatriz González-Pérez, Concepción Núñez, José L. Sánchez, Gabriel Valverde, José Manuel Velasco
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Mathematics
Subjects:
artificial intelligence
machine learning
non-linear regression
error correction model
SIR
Online Access:https://www.mdpi.com/2227-7390/9/13/1485

Internet

https://www.mdpi.com/2227-7390/9/13/1485

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