COVID-19 epidemic peaks distribution in the United-States of America, from epidemiological modeling to public health policies

Abstract COVID-19 prediction models are characterized by uncertainties due to fluctuating parameters, such as changes in infection or recovery rates. While deterministic models often predict epidemic peaks too early, incorporating these fluctuations into the SIR model can provide a more accurate rep...

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Bibliographic Details
Main Authors: Alexandre Vallée, Davide Faranda, Maxence Arutkin
Format: Article
Language:English
Published: Nature Portfolio 2023-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-30014-2