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A modified age-structured SIR model for COVID-19 type viruses

We present a modified age-structured SIR model based on known patterns of social contact and distancing measures within Washington, USA. We find that population age-distribution has a significant effect on disease spread and mortality rate, and contribute to the efficacy of age-specific contact and...

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Detalles Bibliográficos
Autores principales: Ram, Vishaal, Schaposnik, Laura P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8313685/
https://www.ncbi.nlm.nih.gov/pubmed/34312473
http://dx.doi.org/10.1038/s41598-021-94609-3
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author Ram, Vishaal
Schaposnik, Laura P.
author_facet Ram, Vishaal
Schaposnik, Laura P.
author_sort Ram, Vishaal
collection PubMed
description We present a modified age-structured SIR model based on known patterns of social contact and distancing measures within Washington, USA. We find that population age-distribution has a significant effect on disease spread and mortality rate, and contribute to the efficacy of age-specific contact and treatment measures. We consider the effect of relaxing restrictions across less vulnerable age-brackets, comparing results across selected groups of varying population parameters. Moreover, we analyze the mitigating effects of vaccinations and examine the effectiveness of age-targeted distributions. Lastly, we explore how our model can applied to other states to reflect social-distancing policy based on different parameters and metrics.
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spelling pubmed-83136852021-07-28 A modified age-structured SIR model for COVID-19 type viruses Ram, Vishaal Schaposnik, Laura P. Sci Rep Article We present a modified age-structured SIR model based on known patterns of social contact and distancing measures within Washington, USA. We find that population age-distribution has a significant effect on disease spread and mortality rate, and contribute to the efficacy of age-specific contact and treatment measures. We consider the effect of relaxing restrictions across less vulnerable age-brackets, comparing results across selected groups of varying population parameters. Moreover, we analyze the mitigating effects of vaccinations and examine the effectiveness of age-targeted distributions. Lastly, we explore how our model can applied to other states to reflect social-distancing policy based on different parameters and metrics. Nature Publishing Group UK 2021-07-26 /pmc/articles/PMC8313685/ /pubmed/34312473 http://dx.doi.org/10.1038/s41598-021-94609-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ram, Vishaal
Schaposnik, Laura P.
A modified age-structured SIR model for COVID-19 type viruses
title A modified age-structured SIR model for COVID-19 type viruses
title_full A modified age-structured SIR model for COVID-19 type viruses
title_fullStr A modified age-structured SIR model for COVID-19 type viruses
title_full_unstemmed A modified age-structured SIR model for COVID-19 type viruses
title_short A modified age-structured SIR model for COVID-19 type viruses
title_sort modified age-structured sir model for covid-19 type viruses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8313685/
https://www.ncbi.nlm.nih.gov/pubmed/34312473
http://dx.doi.org/10.1038/s41598-021-94609-3
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