Author: Cosimo Distante; Igor Gadelha Pereira; Luiz Marcos Garcia Goncalves; Prisco Piscitelli; Alessandro Miani
Title: Forecasting Covid-19 Outbreak Progression in Italian Regions: A model based on neural network training from Chinese data Document date: 2020_4_14
ID: azpz6e7q_24
Snippet: We used the susceptible-exposed-infectious-recovered (SEIR) model [4] to simulate epidemic since it was established on January 2020. This model is used with the predictions from the modified auto-encoder neural network to better estimate the peaks. It is based on a previous model SIR which was based on three compartments, but since the infection has an incubation period, the compartment E (Exposed) is included......
Document: We used the susceptible-exposed-infectious-recovered (SEIR) model [4] to simulate epidemic since it was established on January 2020. This model is used with the predictions from the modified auto-encoder neural network to better estimate the peaks. It is based on a previous model SIR which was based on three compartments, but since the infection has an incubation period, the compartment E (Exposed) is included.
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