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The rapid and efficient strategy for SARS-CoV-2 Omicron transmission control: analysis of outbreaks at the city level
BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron (B.1.1.529) variant is highly transmissible with potential immune escape. Hence, control measures are continuously being optimized to guard against large-scale coronavirus disease 2019 (COVID-19) outbreaks. This study a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694873/ https://www.ncbi.nlm.nih.gov/pubmed/36434701 http://dx.doi.org/10.1186/s40249-022-01043-2 |
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author | Zheng, Jin-Xin Lv, Shan Tian, Li-Guang Guo, Zhao-Yu Zheng, Pei-Yong Chen, Yue-Lai Guan, Shi-Yang Wang, Wei-Ming Zhang, Shun-Xian |
author_facet | Zheng, Jin-Xin Lv, Shan Tian, Li-Guang Guo, Zhao-Yu Zheng, Pei-Yong Chen, Yue-Lai Guan, Shi-Yang Wang, Wei-Ming Zhang, Shun-Xian |
author_sort | Zheng, Jin-Xin |
collection | PubMed |
description | BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron (B.1.1.529) variant is highly transmissible with potential immune escape. Hence, control measures are continuously being optimized to guard against large-scale coronavirus disease 2019 (COVID-19) outbreaks. This study aimed to explore the relationship between the intensity of control measures in response to different SARS-CoV-2 variants and the degree of outbreak control at city level. METHODS: A retrospective study was conducted in 49 cities with COVID-19 outbreaks between January 2020 and June 2022. Epidemiological data on COVID-19 were extracted from the National Health Commission, People’s Republic of China, and the population flow data were sourced from the Baidu migration data provided by the Baidu platform. Outbreak control was quantified by calculating the degree of infection growth and the time-varying reproduction number ([Formula: see text] ). The intensity of the outbreak response was quantified by calculating the reduction in population mobility during the outbreak period. Correlation and regression analyses of the intensity of the control measures and the degree of outbreak control for the Omicron variant and non-Omicron mutants were conducted, respectively. RESULTS: Overall, 65 outbreaks occurred in 49 cities in China from January 2020 to June 2022. Of them, 66.2% were Omicron outbreaks and 33.8% were non-Omicron outbreaks. The intensity of the control measures was positively correlated with the degree of outbreak control (r = 0.351, P = 0.03). The degree of reduction in population mobility was negatively correlated with the R(t) value (r = − 0.612, P < 0.01). Therefore, under the same control measure intensity, the number of new daily Omicron infections was 6.04 times higher than those attributed to non-Omicron variants, and the R(t) value of Omicron outbreaks was 2.6 times higher than that of non-Omicron variants. In addition, the duration of non-Omicron variant outbreaks was shorter than that of the outbreaks caused by the Omicron variant (23.0 ± 10.7, 32.9 ± 16.3, t = 2.243, P = 0.031). CONCLUSIONS: Greater intensity of control measures was associated with more effective outbreak control. Thus, in response to the Omicron variant, the management to restrict population movement should be used to control its spread quickly, especially in the case of community transmission occurs widely. Faster than is needed for non-Omicron variants, and decisive control measures should be imposed and dynamically adjusted in accordance with the evolving epidemic situation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-022-01043-2. |
format | Online Article Text |
id | pubmed-9694873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96948732022-11-26 The rapid and efficient strategy for SARS-CoV-2 Omicron transmission control: analysis of outbreaks at the city level Zheng, Jin-Xin Lv, Shan Tian, Li-Guang Guo, Zhao-Yu Zheng, Pei-Yong Chen, Yue-Lai Guan, Shi-Yang Wang, Wei-Ming Zhang, Shun-Xian Infect Dis Poverty Research Article BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron (B.1.1.529) variant is highly transmissible with potential immune escape. Hence, control measures are continuously being optimized to guard against large-scale coronavirus disease 2019 (COVID-19) outbreaks. This study aimed to explore the relationship between the intensity of control measures in response to different SARS-CoV-2 variants and the degree of outbreak control at city level. METHODS: A retrospective study was conducted in 49 cities with COVID-19 outbreaks between January 2020 and June 2022. Epidemiological data on COVID-19 were extracted from the National Health Commission, People’s Republic of China, and the population flow data were sourced from the Baidu migration data provided by the Baidu platform. Outbreak control was quantified by calculating the degree of infection growth and the time-varying reproduction number ([Formula: see text] ). The intensity of the outbreak response was quantified by calculating the reduction in population mobility during the outbreak period. Correlation and regression analyses of the intensity of the control measures and the degree of outbreak control for the Omicron variant and non-Omicron mutants were conducted, respectively. RESULTS: Overall, 65 outbreaks occurred in 49 cities in China from January 2020 to June 2022. Of them, 66.2% were Omicron outbreaks and 33.8% were non-Omicron outbreaks. The intensity of the control measures was positively correlated with the degree of outbreak control (r = 0.351, P = 0.03). The degree of reduction in population mobility was negatively correlated with the R(t) value (r = − 0.612, P < 0.01). Therefore, under the same control measure intensity, the number of new daily Omicron infections was 6.04 times higher than those attributed to non-Omicron variants, and the R(t) value of Omicron outbreaks was 2.6 times higher than that of non-Omicron variants. In addition, the duration of non-Omicron variant outbreaks was shorter than that of the outbreaks caused by the Omicron variant (23.0 ± 10.7, 32.9 ± 16.3, t = 2.243, P = 0.031). CONCLUSIONS: Greater intensity of control measures was associated with more effective outbreak control. Thus, in response to the Omicron variant, the management to restrict population movement should be used to control its spread quickly, especially in the case of community transmission occurs widely. Faster than is needed for non-Omicron variants, and decisive control measures should be imposed and dynamically adjusted in accordance with the evolving epidemic situation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-022-01043-2. BioMed Central 2022-11-24 /pmc/articles/PMC9694873/ /pubmed/36434701 http://dx.doi.org/10.1186/s40249-022-01043-2 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 Zheng, Jin-Xin Lv, Shan Tian, Li-Guang Guo, Zhao-Yu Zheng, Pei-Yong Chen, Yue-Lai Guan, Shi-Yang Wang, Wei-Ming Zhang, Shun-Xian The rapid and efficient strategy for SARS-CoV-2 Omicron transmission control: analysis of outbreaks at the city level |
title | The rapid and efficient strategy for SARS-CoV-2 Omicron transmission control: analysis of outbreaks at the city level |
title_full | The rapid and efficient strategy for SARS-CoV-2 Omicron transmission control: analysis of outbreaks at the city level |
title_fullStr | The rapid and efficient strategy for SARS-CoV-2 Omicron transmission control: analysis of outbreaks at the city level |
title_full_unstemmed | The rapid and efficient strategy for SARS-CoV-2 Omicron transmission control: analysis of outbreaks at the city level |
title_short | The rapid and efficient strategy for SARS-CoV-2 Omicron transmission control: analysis of outbreaks at the city level |
title_sort | rapid and efficient strategy for sars-cov-2 omicron transmission control: analysis of outbreaks at the city level |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694873/ https://www.ncbi.nlm.nih.gov/pubmed/36434701 http://dx.doi.org/10.1186/s40249-022-01043-2 |
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