Modeling COVID-19 Using a Modified SVIR Compartmental Model and LSTM-Estimated Parameters

Modeling COVID-19 Using a Modified SVIR Compartmental Model and LSTM-Estimated Parameters

This article presents a modified version of the SVIR compartmental model for predicting the evolution of the COVID-19 pandemic, which incorporates vaccination and a saturated incidence rate, as well as piece-wise time-dependent parameters that enable self-regulation based on the epidemic trend. We h...

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Bibliographic Details
Main Authors: Alejandra Wyss, Arturo Hidalgo
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Mathematics
Subjects:
epidemiological models
artificial neural networks
numerical simulations
diffusion
finite volumes
COVID-19
Online Access:https://www.mdpi.com/2227-7390/11/6/1436

Internet

https://www.mdpi.com/2227-7390/11/6/1436

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