Limits of Compartmental Models and New Opportunities for Machine Learning: A Case Study to Forecast the Second Wave of COVID-19 Hospitalizations in Lombardy, Italy

Limits of Compartmental Models and New Opportunities for Machine Learning: A Case Study to Forecast the Second Wave of COVID-19 Hospitalizations in Lombardy, Italy

Compartmental models have long been used in epidemiological studies for predicting disease spread. However, a major issue when using compartmental mathematical models concerns the time-invariant formulation of hyper-parameters that prevent the model from following the evolution over time of the epid...

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Bibliographic Details
Main Authors: Andrea Gatto, Gabriele Accarino, Valeria Aloisi, Francesco Immorlano, Francesco Donato, Giovanni Aloisio
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Informatics
Subjects:
accurate forecasts
compartmental models
containment measures
health emergency
health systems
Machine Learning
Online Access:https://www.mdpi.com/2227-9709/8/3/57

Internet

https://www.mdpi.com/2227-9709/8/3/57

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