A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil

This paper deals with the mathematical modeling and numerical simulations related to the coronavirus dynamics. A description is developed based on the framework of the susceptible-exposed-infectious-removed model. Initially, a model verification is carried out calibrating system parameters with data...

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Detalles Bibliográficos
Autores principales: Savi, Pedro V., Savi, Marcelo A., Borges, Beatriz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528041/
https://www.ncbi.nlm.nih.gov/pubmed/33029196
http://dx.doi.org/10.1155/2020/9017157
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author Savi, Pedro V.
Savi, Marcelo A.
Borges, Beatriz
author_facet Savi, Pedro V.
Savi, Marcelo A.
Borges, Beatriz
author_sort Savi, Pedro V.
collection PubMed
description This paper deals with the mathematical modeling and numerical simulations related to the coronavirus dynamics. A description is developed based on the framework of the susceptible-exposed-infectious-removed model. Initially, a model verification is carried out calibrating system parameters with data from China, Italy, Iran, and Brazil. Results show the model capability to predict infectious evolution. Afterward, numerical simulations are performed in order to analyze different scenarios of COVID-19 in Brazil. Results show the importance of the governmental and individual actions to control the number and the period of the critical situations related to the pandemic.
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spelling pubmed-75280412020-10-06 A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil Savi, Pedro V. Savi, Marcelo A. Borges, Beatriz Comput Math Methods Med Research Article This paper deals with the mathematical modeling and numerical simulations related to the coronavirus dynamics. A description is developed based on the framework of the susceptible-exposed-infectious-removed model. Initially, a model verification is carried out calibrating system parameters with data from China, Italy, Iran, and Brazil. Results show the model capability to predict infectious evolution. Afterward, numerical simulations are performed in order to analyze different scenarios of COVID-19 in Brazil. Results show the importance of the governmental and individual actions to control the number and the period of the critical situations related to the pandemic. Hindawi 2020-09-30 /pmc/articles/PMC7528041/ /pubmed/33029196 http://dx.doi.org/10.1155/2020/9017157 Text en Copyright © 2020 Pedro V. Savi et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Savi, Pedro V.
Savi, Marcelo A.
Borges, Beatriz
A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil
title A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil
title_full A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil
title_fullStr A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil
title_full_unstemmed A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil
title_short A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil
title_sort mathematical description of the dynamics of coronavirus disease 2019 (covid-19): a case study of brazil
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528041/
https://www.ncbi.nlm.nih.gov/pubmed/33029196
http://dx.doi.org/10.1155/2020/9017157
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