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A Network Dynamics Model for the Transmission of COVID-19 in Diamond Princess and a Response to Reopen Large-Scale Public Facilities
Background: The current epidemic of COVID-19 has become the new normal. However, the novel coronavirus is constantly mutating. In public transportation or large entertainment venues, it can spread more quickly once an infected person is introduced. This study aims to discuss whether large public fac...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775839/ https://www.ncbi.nlm.nih.gov/pubmed/35052302 http://dx.doi.org/10.3390/healthcare10010139 |
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author | Zhu, Yuchen Wang, Ying Li, Chunyu Liu, Lili Qi, Chang Jia, Yan She, Kaili Liu, Tingxuan Zhu, Huaiping Li, Xiujun |
author_facet | Zhu, Yuchen Wang, Ying Li, Chunyu Liu, Lili Qi, Chang Jia, Yan She, Kaili Liu, Tingxuan Zhu, Huaiping Li, Xiujun |
author_sort | Zhu, Yuchen |
collection | PubMed |
description | Background: The current epidemic of COVID-19 has become the new normal. However, the novel coronavirus is constantly mutating. In public transportation or large entertainment venues, it can spread more quickly once an infected person is introduced. This study aims to discuss whether large public facilities can be opened and operated under the current epidemic situation. Methods: The dual Barabási–Albert (DBA) model was used to build a contact network. A dynamics compartmental modeling framework was used to simulate the COVID-19 epidemic with different interventions on the Diamond Princess. Results: The effect of isolation only was minor. Regardless of the transmission rate of the virus, joint interventions can prevent 96.95% (95% CI: 96.70–97.15%) of infections. Compared with evacuating only passengers, evacuating the crew and passengers can avoid about 11.90% (95% CI: 11.83–12.06%) of infections; Conclusions: It is feasible to restore public transportation services and reopen large-scale public facilities if monitoring and testing can be in place. Evacuating all people as soon as possible is the most effective way to contain the outbreak in large-scale public facilities. |
format | Online Article Text |
id | pubmed-8775839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87758392022-01-21 A Network Dynamics Model for the Transmission of COVID-19 in Diamond Princess and a Response to Reopen Large-Scale Public Facilities Zhu, Yuchen Wang, Ying Li, Chunyu Liu, Lili Qi, Chang Jia, Yan She, Kaili Liu, Tingxuan Zhu, Huaiping Li, Xiujun Healthcare (Basel) Article Background: The current epidemic of COVID-19 has become the new normal. However, the novel coronavirus is constantly mutating. In public transportation or large entertainment venues, it can spread more quickly once an infected person is introduced. This study aims to discuss whether large public facilities can be opened and operated under the current epidemic situation. Methods: The dual Barabási–Albert (DBA) model was used to build a contact network. A dynamics compartmental modeling framework was used to simulate the COVID-19 epidemic with different interventions on the Diamond Princess. Results: The effect of isolation only was minor. Regardless of the transmission rate of the virus, joint interventions can prevent 96.95% (95% CI: 96.70–97.15%) of infections. Compared with evacuating only passengers, evacuating the crew and passengers can avoid about 11.90% (95% CI: 11.83–12.06%) of infections; Conclusions: It is feasible to restore public transportation services and reopen large-scale public facilities if monitoring and testing can be in place. Evacuating all people as soon as possible is the most effective way to contain the outbreak in large-scale public facilities. MDPI 2022-01-12 /pmc/articles/PMC8775839/ /pubmed/35052302 http://dx.doi.org/10.3390/healthcare10010139 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhu, Yuchen Wang, Ying Li, Chunyu Liu, Lili Qi, Chang Jia, Yan She, Kaili Liu, Tingxuan Zhu, Huaiping Li, Xiujun A Network Dynamics Model for the Transmission of COVID-19 in Diamond Princess and a Response to Reopen Large-Scale Public Facilities |
title | A Network Dynamics Model for the Transmission of COVID-19 in Diamond Princess and a Response to Reopen Large-Scale Public Facilities |
title_full | A Network Dynamics Model for the Transmission of COVID-19 in Diamond Princess and a Response to Reopen Large-Scale Public Facilities |
title_fullStr | A Network Dynamics Model for the Transmission of COVID-19 in Diamond Princess and a Response to Reopen Large-Scale Public Facilities |
title_full_unstemmed | A Network Dynamics Model for the Transmission of COVID-19 in Diamond Princess and a Response to Reopen Large-Scale Public Facilities |
title_short | A Network Dynamics Model for the Transmission of COVID-19 in Diamond Princess and a Response to Reopen Large-Scale Public Facilities |
title_sort | network dynamics model for the transmission of covid-19 in diamond princess and a response to reopen large-scale public facilities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775839/ https://www.ncbi.nlm.nih.gov/pubmed/35052302 http://dx.doi.org/10.3390/healthcare10010139 |
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