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Optimization of COVID-19 prevention and control measures during the Beijing 2022 Winter Olympics: a model-based study

BACKGROUND: The continuous mutation of severe acute respiratory syndrome coronavirus 2 has made the coronavirus disease 2019 (COVID-19) pandemic complicated to predict and posed a severe challenge to the Beijing 2022 Winter Olympics and Winter Paralympics held in February and March 2022. METHODS: Du...

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Autores principales: Kong, Lingcai, Duan, Mengwei, Shi, Jin, Hong, Jie, Zhou, Xuan, Yang, Xinyi, Zhao, Zheng, Huang, Jiaqi, Chen, Xi, Yin, Yun, Li, Ke, Liu, Yuanhua, Liu, Jinggang, Wang, Xiaozhe, Zhang, Po, Xie, Xiyang, Li, Fei, Chang, Zhaorui, Zhang, Zhijie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9447360/
https://www.ncbi.nlm.nih.gov/pubmed/36068625
http://dx.doi.org/10.1186/s40249-022-01019-2
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author Kong, Lingcai
Duan, Mengwei
Shi, Jin
Hong, Jie
Zhou, Xuan
Yang, Xinyi
Zhao, Zheng
Huang, Jiaqi
Chen, Xi
Yin, Yun
Li, Ke
Liu, Yuanhua
Liu, Jinggang
Wang, Xiaozhe
Zhang, Po
Xie, Xiyang
Li, Fei
Chang, Zhaorui
Zhang, Zhijie
author_facet Kong, Lingcai
Duan, Mengwei
Shi, Jin
Hong, Jie
Zhou, Xuan
Yang, Xinyi
Zhao, Zheng
Huang, Jiaqi
Chen, Xi
Yin, Yun
Li, Ke
Liu, Yuanhua
Liu, Jinggang
Wang, Xiaozhe
Zhang, Po
Xie, Xiyang
Li, Fei
Chang, Zhaorui
Zhang, Zhijie
author_sort Kong, Lingcai
collection PubMed
description BACKGROUND: The continuous mutation of severe acute respiratory syndrome coronavirus 2 has made the coronavirus disease 2019 (COVID-19) pandemic complicated to predict and posed a severe challenge to the Beijing 2022 Winter Olympics and Winter Paralympics held in February and March 2022. METHODS: During the preparations for the Beijing 2022 Winter Olympics, we established a dynamic model with pulse detection and isolation effect to evaluate the effect of epidemic prevention and control measures such as entry policies, contact reduction, nucleic acid testing, tracking, isolation, and health monitoring in a closed-loop management environment, by simulating the transmission dynamics in assumed scenarios. We also compared the importance of each parameter in the combination of intervention measures through sensitivity analysis. RESULTS: At the assumed baseline levels, the peak of the epidemic reached on the 57th day. During the simulation period (100 days), 13,382 people infected COVID-19. The mean and peak values of hospitalized cases were 2650 and 6746, respectively. The simulation and sensitivity analysis showed that: (1) the most important measures to stop COVID-19 transmission during the event were daily nucleic acid testing, reducing contact among people, and daily health monitoring, with cumulative infections at 0.04%, 0.14%, and 14.92% of baseline levels, respectively (2) strictly implementing the entry policy and reducing the number of cases entering the closed-loop system could delay the peak of the epidemic by 9 days and provide time for medical resources to be mobilized; (3) the risk of environmental transmission was low. CONCLUSIONS: Comprehensive measures under certain scenarios such as reducing contact, nucleic acid testing, health monitoring, and timely tracking and isolation could effectively prevent virus transmission. Our research results provided an important reference for formulating prevention and control measures during the Winter Olympics, and no epidemic spread in the closed-loop during the games indirectly proved the rationality of our research results. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-022-01019-2.
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spelling pubmed-94473602022-09-06 Optimization of COVID-19 prevention and control measures during the Beijing 2022 Winter Olympics: a model-based study Kong, Lingcai Duan, Mengwei Shi, Jin Hong, Jie Zhou, Xuan Yang, Xinyi Zhao, Zheng Huang, Jiaqi Chen, Xi Yin, Yun Li, Ke Liu, Yuanhua Liu, Jinggang Wang, Xiaozhe Zhang, Po Xie, Xiyang Li, Fei Chang, Zhaorui Zhang, Zhijie Infect Dis Poverty Research Article BACKGROUND: The continuous mutation of severe acute respiratory syndrome coronavirus 2 has made the coronavirus disease 2019 (COVID-19) pandemic complicated to predict and posed a severe challenge to the Beijing 2022 Winter Olympics and Winter Paralympics held in February and March 2022. METHODS: During the preparations for the Beijing 2022 Winter Olympics, we established a dynamic model with pulse detection and isolation effect to evaluate the effect of epidemic prevention and control measures such as entry policies, contact reduction, nucleic acid testing, tracking, isolation, and health monitoring in a closed-loop management environment, by simulating the transmission dynamics in assumed scenarios. We also compared the importance of each parameter in the combination of intervention measures through sensitivity analysis. RESULTS: At the assumed baseline levels, the peak of the epidemic reached on the 57th day. During the simulation period (100 days), 13,382 people infected COVID-19. The mean and peak values of hospitalized cases were 2650 and 6746, respectively. The simulation and sensitivity analysis showed that: (1) the most important measures to stop COVID-19 transmission during the event were daily nucleic acid testing, reducing contact among people, and daily health monitoring, with cumulative infections at 0.04%, 0.14%, and 14.92% of baseline levels, respectively (2) strictly implementing the entry policy and reducing the number of cases entering the closed-loop system could delay the peak of the epidemic by 9 days and provide time for medical resources to be mobilized; (3) the risk of environmental transmission was low. CONCLUSIONS: Comprehensive measures under certain scenarios such as reducing contact, nucleic acid testing, health monitoring, and timely tracking and isolation could effectively prevent virus transmission. Our research results provided an important reference for formulating prevention and control measures during the Winter Olympics, and no epidemic spread in the closed-loop during the games indirectly proved the rationality of our research results. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-022-01019-2. BioMed Central 2022-09-06 /pmc/articles/PMC9447360/ /pubmed/36068625 http://dx.doi.org/10.1186/s40249-022-01019-2 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Kong, Lingcai
Duan, Mengwei
Shi, Jin
Hong, Jie
Zhou, Xuan
Yang, Xinyi
Zhao, Zheng
Huang, Jiaqi
Chen, Xi
Yin, Yun
Li, Ke
Liu, Yuanhua
Liu, Jinggang
Wang, Xiaozhe
Zhang, Po
Xie, Xiyang
Li, Fei
Chang, Zhaorui
Zhang, Zhijie
Optimization of COVID-19 prevention and control measures during the Beijing 2022 Winter Olympics: a model-based study
title Optimization of COVID-19 prevention and control measures during the Beijing 2022 Winter Olympics: a model-based study
title_full Optimization of COVID-19 prevention and control measures during the Beijing 2022 Winter Olympics: a model-based study
title_fullStr Optimization of COVID-19 prevention and control measures during the Beijing 2022 Winter Olympics: a model-based study
title_full_unstemmed Optimization of COVID-19 prevention and control measures during the Beijing 2022 Winter Olympics: a model-based study
title_short Optimization of COVID-19 prevention and control measures during the Beijing 2022 Winter Olympics: a model-based study
title_sort optimization of covid-19 prevention and control measures during the beijing 2022 winter olympics: a model-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9447360/
https://www.ncbi.nlm.nih.gov/pubmed/36068625
http://dx.doi.org/10.1186/s40249-022-01019-2
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