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Spread of variants of epidemic disease based on the microscopic numerical simulations on networks
Viruses constantly undergo mutations with genomic changes. The propagation of variants of viruses is an interesting problem. We perform numerical simulations of the microscopic epidemic model based on network theory for the spread of variants. Assume that a small number of individuals infected with...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752609/ https://www.ncbi.nlm.nih.gov/pubmed/35017624 http://dx.doi.org/10.1038/s41598-021-04520-0 |
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author | Okabe, Yutaka Shudo, Akira |
author_facet | Okabe, Yutaka Shudo, Akira |
author_sort | Okabe, Yutaka |
collection | PubMed |
description | Viruses constantly undergo mutations with genomic changes. The propagation of variants of viruses is an interesting problem. We perform numerical simulations of the microscopic epidemic model based on network theory for the spread of variants. Assume that a small number of individuals infected with the variant are added to widespread infection with the original virus. When a highly infectious variant that is more transmissible than the original lineage is added, the variant spreads quickly to the wide space. On the other hand, if the infectivity is about the same as that of the original virus, the infection will not spread. The rate of spread is not linear as a function of the infection strength but increases non-linearly. This cannot be explained by the compartmental model of epidemiology but can be understood in terms of the dynamic absorbing state known from the contact process. |
format | Online Article Text |
id | pubmed-8752609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87526092022-01-13 Spread of variants of epidemic disease based on the microscopic numerical simulations on networks Okabe, Yutaka Shudo, Akira Sci Rep Article Viruses constantly undergo mutations with genomic changes. The propagation of variants of viruses is an interesting problem. We perform numerical simulations of the microscopic epidemic model based on network theory for the spread of variants. Assume that a small number of individuals infected with the variant are added to widespread infection with the original virus. When a highly infectious variant that is more transmissible than the original lineage is added, the variant spreads quickly to the wide space. On the other hand, if the infectivity is about the same as that of the original virus, the infection will not spread. The rate of spread is not linear as a function of the infection strength but increases non-linearly. This cannot be explained by the compartmental model of epidemiology but can be understood in terms of the dynamic absorbing state known from the contact process. Nature Publishing Group UK 2022-01-11 /pmc/articles/PMC8752609/ /pubmed/35017624 http://dx.doi.org/10.1038/s41598-021-04520-0 Text en © The Author(s) 2022 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 Okabe, Yutaka Shudo, Akira Spread of variants of epidemic disease based on the microscopic numerical simulations on networks |
title | Spread of variants of epidemic disease based on the microscopic numerical simulations on networks |
title_full | Spread of variants of epidemic disease based on the microscopic numerical simulations on networks |
title_fullStr | Spread of variants of epidemic disease based on the microscopic numerical simulations on networks |
title_full_unstemmed | Spread of variants of epidemic disease based on the microscopic numerical simulations on networks |
title_short | Spread of variants of epidemic disease based on the microscopic numerical simulations on networks |
title_sort | spread of variants of epidemic disease based on the microscopic numerical simulations on networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752609/ https://www.ncbi.nlm.nih.gov/pubmed/35017624 http://dx.doi.org/10.1038/s41598-021-04520-0 |
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