A data-driven model to describe and forecast the dynamics of COVID-19 transmission.

A data-driven model to describe and forecast the dynamics of COVID-19 transmission.

This paper proposes a dynamic model to describe and forecast the dynamics of the coronavirus disease COVID-19 transmission. The model is based on an approach previously used to describe the Middle East Respiratory Syndrome (MERS) epidemic. This methodology is used to describe the COVID-19 dynamics i...

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Bibliographic Details
Main Authors: Henrique Mohallem Paiva, Rubens Junqueira Magalhães Afonso, Igor Luppi de Oliveira, Gabriele Fernandes Garcia
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0236386

Internet

https://doi.org/10.1371/journal.pone.0236386

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