Erratum: An Epidemiological Compartmental Model With Automated Parameter Estimation and Forecasting of the Spread of COVID-19 With Analysis of Data From Germany and Brazil

, Frontiers Production Office

doi:10.3389/fams.2022.935742

ERRATUM article

Front. Appl. Math. Stat. , 08 June 2022

Sec. Dynamical Systems

Volume 8 - 2022 | https://doi.org/10.3389/fams.2022.935742

This article is part of the Research Topic Modelling the dynamics of the COVID-19 epidemic and implementation of intervention strategies View all 4 articles

Erratum: An Epidemiological Compartmental Model With Automated Parameter Estimation and Forecasting of the Spread of COVID-19 With Analysis of Data From Germany and Brazil

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An Epidemiological Compartmental Model With Automated Parameter Estimation and Forecasting of the Spread of COVID-19 With Analysis of Data From Germany and Brazil
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An Erratum on
An Epidemiological Compartmental Model With Automated Parameter Estimation and Forecasting of the Spread of COVID-19 With Analysis of Data From Germany and Brazil

by Batista, A. A., and da Silva, S. H. (2022). Front. Appl. Math. Stat. 8:645614. doi: 10.3389/fams.2022.645614

Due to a production error, the appendix section was not typeset. The article has been updated to include Appendix A, B, and C.

The publisher apologizes for this mistake. The original version of this article has been updated.

Keywords: epidemiological model, COVID-19, parameter estimation, forecasting, compartmental model

Citation: Frontiers Production Office (2022) Erratum: An Epidemiological Compartmental Model With Automated Parameter Estimation and Forecasting of the Spread of COVID-19 With Analysis of Data From Germany and Brazil. Front. Appl. Math. Stat. 8:935742. doi: 10.3389/fams.2022.935742

Received: 04 May 2022; Accepted: 04 May 2022;
Published: 08 June 2022.

Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland

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Erratum: An Epidemiological Compartmental Model With Automated Parameter Estimation and Forecasting of the Spread of COVID-19 With Analysis of Data From Germany and Brazil

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