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An Epidemic Model with Time-Distributed Recovery and Death Rates
A compartmental epidemiological model with distributed recovery and death rates is proposed. In some particular cases, the model can be reduced to the conventional SIR model. However, in general, the dynamics of epidemic progression in this model is different. Distributed recovery and death rates ar...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243747/ https://www.ncbi.nlm.nih.gov/pubmed/35763126 http://dx.doi.org/10.1007/s11538-022-01028-0 |
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author | Ghosh, Samiran Volpert, Vitaly Banerjee, Malay |
author_facet | Ghosh, Samiran Volpert, Vitaly Banerjee, Malay |
author_sort | Ghosh, Samiran |
collection | PubMed |
description | A compartmental epidemiological model with distributed recovery and death rates is proposed. In some particular cases, the model can be reduced to the conventional SIR model. However, in general, the dynamics of epidemic progression in this model is different. Distributed recovery and death rates are evaluated from COVID-19 data. The model is validated by the epidemiological data for different countries, and it shows better agreement with the data than the SIR model. The time-dependent disease transmission rate is estimated. |
format | Online Article Text |
id | pubmed-9243747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-92437472022-06-30 An Epidemic Model with Time-Distributed Recovery and Death Rates Ghosh, Samiran Volpert, Vitaly Banerjee, Malay Bull Math Biol Special Collection: Modelling of Biological Systems A compartmental epidemiological model with distributed recovery and death rates is proposed. In some particular cases, the model can be reduced to the conventional SIR model. However, in general, the dynamics of epidemic progression in this model is different. Distributed recovery and death rates are evaluated from COVID-19 data. The model is validated by the epidemiological data for different countries, and it shows better agreement with the data than the SIR model. The time-dependent disease transmission rate is estimated. Springer US 2022-06-28 2022 /pmc/articles/PMC9243747/ /pubmed/35763126 http://dx.doi.org/10.1007/s11538-022-01028-0 Text en © The Author(s), under exclusive licence to Society for Mathematical Biology 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Special Collection: Modelling of Biological Systems Ghosh, Samiran Volpert, Vitaly Banerjee, Malay An Epidemic Model with Time-Distributed Recovery and Death Rates |
title | An Epidemic Model with Time-Distributed Recovery and Death Rates |
title_full | An Epidemic Model with Time-Distributed Recovery and Death Rates |
title_fullStr | An Epidemic Model with Time-Distributed Recovery and Death Rates |
title_full_unstemmed | An Epidemic Model with Time-Distributed Recovery and Death Rates |
title_short | An Epidemic Model with Time-Distributed Recovery and Death Rates |
title_sort | epidemic model with time-distributed recovery and death rates |
topic | Special Collection: Modelling of Biological Systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243747/ https://www.ncbi.nlm.nih.gov/pubmed/35763126 http://dx.doi.org/10.1007/s11538-022-01028-0 |
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