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Broken-Edge Decision-Making Strategy for COVID-19 over Air Railway Composite Network
In order to control the spread of the COVID-19 virus, this study proposes an ARCN-SUTS (air railway composite network susceptible-untested-tested-susceptible) model based on the correlation characteristics of the air railway composite network in mainland China. Furthermore, this study also puts forw...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767395/ https://www.ncbi.nlm.nih.gov/pubmed/35069717 http://dx.doi.org/10.1155/2022/4149477 |
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author | Sun, Hui Qin, Yicong Mu, Zhicheng Wang, Rui |
author_facet | Sun, Hui Qin, Yicong Mu, Zhicheng Wang, Rui |
author_sort | Sun, Hui |
collection | PubMed |
description | In order to control the spread of the COVID-19 virus, this study proposes an ARCN-SUTS (air railway composite network susceptible-untested-tested-susceptible) model based on the correlation characteristics of the air railway composite network in mainland China. Furthermore, this study also puts forward a broken-edge decision-making strategy for the purpose of making decision about the edge efficiently broken and avoiding the second outbreak of the virus spread to minimize the economic losses for railway and civil aviation companies. Finally, simulation results demonstrate that the proposed strategy can effectively control the spread of the virus with minimal economic losses. |
format | Online Article Text |
id | pubmed-8767395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-87673952022-01-20 Broken-Edge Decision-Making Strategy for COVID-19 over Air Railway Composite Network Sun, Hui Qin, Yicong Mu, Zhicheng Wang, Rui Comput Intell Neurosci Research Article In order to control the spread of the COVID-19 virus, this study proposes an ARCN-SUTS (air railway composite network susceptible-untested-tested-susceptible) model based on the correlation characteristics of the air railway composite network in mainland China. Furthermore, this study also puts forward a broken-edge decision-making strategy for the purpose of making decision about the edge efficiently broken and avoiding the second outbreak of the virus spread to minimize the economic losses for railway and civil aviation companies. Finally, simulation results demonstrate that the proposed strategy can effectively control the spread of the virus with minimal economic losses. Hindawi 2022-01-18 /pmc/articles/PMC8767395/ /pubmed/35069717 http://dx.doi.org/10.1155/2022/4149477 Text en Copyright © 2022 Hui Sun 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 Sun, Hui Qin, Yicong Mu, Zhicheng Wang, Rui Broken-Edge Decision-Making Strategy for COVID-19 over Air Railway Composite Network |
title | Broken-Edge Decision-Making Strategy for COVID-19 over Air Railway Composite Network |
title_full | Broken-Edge Decision-Making Strategy for COVID-19 over Air Railway Composite Network |
title_fullStr | Broken-Edge Decision-Making Strategy for COVID-19 over Air Railway Composite Network |
title_full_unstemmed | Broken-Edge Decision-Making Strategy for COVID-19 over Air Railway Composite Network |
title_short | Broken-Edge Decision-Making Strategy for COVID-19 over Air Railway Composite Network |
title_sort | broken-edge decision-making strategy for covid-19 over air railway composite network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767395/ https://www.ncbi.nlm.nih.gov/pubmed/35069717 http://dx.doi.org/10.1155/2022/4149477 |
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