Reconstructing and forecasting the COVID-19 epidemic in the United States using a 5-parameter logistic growth model

Reconstructing and forecasting the COVID-19 epidemic in the United States using a 5-parameter logistic growth model

Abstract Background Many studies have modeled and predicted the spread of COVID-19 (coronavirus disease 2019) in the U.S. using data that begins with the first reported cases. However, the shortage of testing services to detect infected persons makes this approach subject to error due to its underde...

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Bibliographic Details
Main Authors: Ding-Geng Chen, Xinguang Chen, Jenny K. Chen
Format: Article
Language:English
Published: BMC 2020-05-01
Series:Global Health Research and Policy
Subjects:
COVID-19
Epidemics
Disease dynamics
Population-based model
Logistic growth model
Prediction
Online Access:http://link.springer.com/article/10.1186/s41256-020-00152-5

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http://link.springer.com/article/10.1186/s41256-020-00152-5

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