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Study of SEIR epidemic model and scenario analysis of COVID-19 pandemic
In recent times, the Coronavirus disease (caused by COVID-19) is evidently observed to be the extremely contagious one with high fatality rate worldwide. In March 2020, the disease was declared a “global pandemic” by the World Health Organization (WHO). So far, there is no known/effective vaccine or...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166039/ https://www.ncbi.nlm.nih.gov/pubmed/34095599 http://dx.doi.org/10.1016/j.egg.2021.100087 |
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author | Paul, Subrata Mahata, Animesh Ghosh, Uttam Roy, Banamali |
author_facet | Paul, Subrata Mahata, Animesh Ghosh, Uttam Roy, Banamali |
author_sort | Paul, Subrata |
collection | PubMed |
description | In recent times, the Coronavirus disease (caused by COVID-19) is evidently observed to be the extremely contagious one with high fatality rate worldwide. In March 2020, the disease was declared a “global pandemic” by the World Health Organization (WHO). So far, there is no known/effective vaccine or medicine. In this paper, we propose and analyze an SEIR compartment model. We also compare and analyze the case study of India and Brazil. The model system is discussed by using MATLAB (2018a) software and the numerical results are verified graphically. |
format | Online Article Text |
id | pubmed-8166039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81660392021-06-01 Study of SEIR epidemic model and scenario analysis of COVID-19 pandemic Paul, Subrata Mahata, Animesh Ghosh, Uttam Roy, Banamali Ecol Genet Genom Article In recent times, the Coronavirus disease (caused by COVID-19) is evidently observed to be the extremely contagious one with high fatality rate worldwide. In March 2020, the disease was declared a “global pandemic” by the World Health Organization (WHO). So far, there is no known/effective vaccine or medicine. In this paper, we propose and analyze an SEIR compartment model. We also compare and analyze the case study of India and Brazil. The model system is discussed by using MATLAB (2018a) software and the numerical results are verified graphically. Elsevier Inc. 2021-05 2021-05-31 /pmc/articles/PMC8166039/ /pubmed/34095599 http://dx.doi.org/10.1016/j.egg.2021.100087 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Paul, Subrata Mahata, Animesh Ghosh, Uttam Roy, Banamali Study of SEIR epidemic model and scenario analysis of COVID-19 pandemic |
title | Study of SEIR epidemic model and scenario analysis of COVID-19 pandemic |
title_full | Study of SEIR epidemic model and scenario analysis of COVID-19 pandemic |
title_fullStr | Study of SEIR epidemic model and scenario analysis of COVID-19 pandemic |
title_full_unstemmed | Study of SEIR epidemic model and scenario analysis of COVID-19 pandemic |
title_short | Study of SEIR epidemic model and scenario analysis of COVID-19 pandemic |
title_sort | study of seir epidemic model and scenario analysis of covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166039/ https://www.ncbi.nlm.nih.gov/pubmed/34095599 http://dx.doi.org/10.1016/j.egg.2021.100087 |
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