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Epidemiological characteristics and transmission dynamics of the outbreak caused by the SARS-CoV-2 Omicron variant in Shanghai, China: a descriptive study

BACKGROUND: In early March 2022, a major outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant spread rapidly throughout Shanghai, China. Here we aimed to provide a description of the epidemiological characteristics and spatiotemporal transmission dynamics of t...

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Autores principales: Chen, Zhiyuan, Deng, Xiaowei, Fang, Liqun, Sun, Kaiyuan, Wu, Yanpeng, Che, Tianle, Zou, Junyi, Cai, Jun, Liu, Hengcong, Wang, Yan, Wang, Tao, Tian, Yuyang, Zheng, Nan, Yan, Xuemei, Sun, Ruijia, Xu, Xiangyanyu, Zhou, Xiaoyu, Ge, Shijia, Liang, Yuxiang, Yi, Lan, Yang, Juan, Zhang, Juanjuan, Ajelli, Marco, Yu, Hongjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238184/
https://www.ncbi.nlm.nih.gov/pubmed/35765564
http://dx.doi.org/10.1101/2022.06.11.22276273
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author Chen, Zhiyuan
Deng, Xiaowei
Fang, Liqun
Sun, Kaiyuan
Wu, Yanpeng
Che, Tianle
Zou, Junyi
Cai, Jun
Liu, Hengcong
Wang, Yan
Wang, Tao
Tian, Yuyang
Zheng, Nan
Yan, Xuemei
Sun, Ruijia
Xu, Xiangyanyu
Zhou, Xiaoyu
Ge, Shijia
Liang, Yuxiang
Yi, Lan
Yang, Juan
Zhang, Juanjuan
Ajelli, Marco
Yu, Hongjie
author_facet Chen, Zhiyuan
Deng, Xiaowei
Fang, Liqun
Sun, Kaiyuan
Wu, Yanpeng
Che, Tianle
Zou, Junyi
Cai, Jun
Liu, Hengcong
Wang, Yan
Wang, Tao
Tian, Yuyang
Zheng, Nan
Yan, Xuemei
Sun, Ruijia
Xu, Xiangyanyu
Zhou, Xiaoyu
Ge, Shijia
Liang, Yuxiang
Yi, Lan
Yang, Juan
Zhang, Juanjuan
Ajelli, Marco
Yu, Hongjie
author_sort Chen, Zhiyuan
collection PubMed
description BACKGROUND: In early March 2022, a major outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant spread rapidly throughout Shanghai, China. Here we aimed to provide a description of the epidemiological characteristics and spatiotemporal transmission dynamics of the Omicron outbreak under the population-based screening and lockdown policies implemented in Shanghai. METHODS: We extracted individual information on SARS-CoV-2 infections reported between January 1 and May 31, 2022, and on the timeline of the adopted non-pharmacological interventions. The epidemic was divided into three phases: i) sporadic infections (January 1–February 28), ii) local transmission (March 1–March 31), and iii) city-wide lockdown (April 1 to May 31). We described the epidemic spread during these three phases and the subdistrict-level spatiotemporal distribution of the infections. To evaluate the impact on the transmission of SARS-CoV-2 of the adopted targeted interventions in Phase 2 and city-wide lockdown in Phase 3, we estimated the dynamics of the net reproduction number (R(t)). FINDINGS: A surge in imported infections in Phase 1 triggered cryptic local transmission of the Omicron variant in early March, resulting in the largest coronavirus disease 2019 (COVID-19) outbreak in mainland China since the original wave. A total of 626,000 SARS-CoV-2 infections were reported in 99.5% (215/216) of the subdistricts of Shanghai. The spatial distribution of the infections was highly heterogeneous, with 40% of the subdistricts accounting for 80% of all infections. A clear trend from the city center towards adjacent suburban and rural areas was observed, with a progressive slowdown of the epidemic spread (from 544 to 325 meters/day) prior to the citywide lockdown. During Phase 2, R(t) remained well above 1 despite the implementation of multiple targeted interventions. The citywide lockdown imposed on April 1 led to a marked decrease in transmission, bringing R(t) below the epidemic threshold in the entire city on April 14 and ultimately leading to containment of the outbreak. INTERPRETATION: Our results highlight the risk of widespread outbreaks in mainland China, particularly under the heightened pressure of imported infections. The targeted interventions adopted in March 2022 were not capable of halting transmission, and the implementation of a strict, prolonged city-wide lockdown was needed to successfully contain the outbreak, highlighting the challenges for successfully containing Omicron outbreaks. FUNDING: Key Program of the National Natural Science Foundation of China (82130093).
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spelling pubmed-92381842022-06-29 Epidemiological characteristics and transmission dynamics of the outbreak caused by the SARS-CoV-2 Omicron variant in Shanghai, China: a descriptive study Chen, Zhiyuan Deng, Xiaowei Fang, Liqun Sun, Kaiyuan Wu, Yanpeng Che, Tianle Zou, Junyi Cai, Jun Liu, Hengcong Wang, Yan Wang, Tao Tian, Yuyang Zheng, Nan Yan, Xuemei Sun, Ruijia Xu, Xiangyanyu Zhou, Xiaoyu Ge, Shijia Liang, Yuxiang Yi, Lan Yang, Juan Zhang, Juanjuan Ajelli, Marco Yu, Hongjie medRxiv Article BACKGROUND: In early March 2022, a major outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant spread rapidly throughout Shanghai, China. Here we aimed to provide a description of the epidemiological characteristics and spatiotemporal transmission dynamics of the Omicron outbreak under the population-based screening and lockdown policies implemented in Shanghai. METHODS: We extracted individual information on SARS-CoV-2 infections reported between January 1 and May 31, 2022, and on the timeline of the adopted non-pharmacological interventions. The epidemic was divided into three phases: i) sporadic infections (January 1–February 28), ii) local transmission (March 1–March 31), and iii) city-wide lockdown (April 1 to May 31). We described the epidemic spread during these three phases and the subdistrict-level spatiotemporal distribution of the infections. To evaluate the impact on the transmission of SARS-CoV-2 of the adopted targeted interventions in Phase 2 and city-wide lockdown in Phase 3, we estimated the dynamics of the net reproduction number (R(t)). FINDINGS: A surge in imported infections in Phase 1 triggered cryptic local transmission of the Omicron variant in early March, resulting in the largest coronavirus disease 2019 (COVID-19) outbreak in mainland China since the original wave. A total of 626,000 SARS-CoV-2 infections were reported in 99.5% (215/216) of the subdistricts of Shanghai. The spatial distribution of the infections was highly heterogeneous, with 40% of the subdistricts accounting for 80% of all infections. A clear trend from the city center towards adjacent suburban and rural areas was observed, with a progressive slowdown of the epidemic spread (from 544 to 325 meters/day) prior to the citywide lockdown. During Phase 2, R(t) remained well above 1 despite the implementation of multiple targeted interventions. The citywide lockdown imposed on April 1 led to a marked decrease in transmission, bringing R(t) below the epidemic threshold in the entire city on April 14 and ultimately leading to containment of the outbreak. INTERPRETATION: Our results highlight the risk of widespread outbreaks in mainland China, particularly under the heightened pressure of imported infections. The targeted interventions adopted in March 2022 were not capable of halting transmission, and the implementation of a strict, prolonged city-wide lockdown was needed to successfully contain the outbreak, highlighting the challenges for successfully containing Omicron outbreaks. FUNDING: Key Program of the National Natural Science Foundation of China (82130093). Cold Spring Harbor Laboratory 2022-06-18 /pmc/articles/PMC9238184/ /pubmed/35765564 http://dx.doi.org/10.1101/2022.06.11.22276273 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Chen, Zhiyuan
Deng, Xiaowei
Fang, Liqun
Sun, Kaiyuan
Wu, Yanpeng
Che, Tianle
Zou, Junyi
Cai, Jun
Liu, Hengcong
Wang, Yan
Wang, Tao
Tian, Yuyang
Zheng, Nan
Yan, Xuemei
Sun, Ruijia
Xu, Xiangyanyu
Zhou, Xiaoyu
Ge, Shijia
Liang, Yuxiang
Yi, Lan
Yang, Juan
Zhang, Juanjuan
Ajelli, Marco
Yu, Hongjie
Epidemiological characteristics and transmission dynamics of the outbreak caused by the SARS-CoV-2 Omicron variant in Shanghai, China: a descriptive study
title Epidemiological characteristics and transmission dynamics of the outbreak caused by the SARS-CoV-2 Omicron variant in Shanghai, China: a descriptive study
title_full Epidemiological characteristics and transmission dynamics of the outbreak caused by the SARS-CoV-2 Omicron variant in Shanghai, China: a descriptive study
title_fullStr Epidemiological characteristics and transmission dynamics of the outbreak caused by the SARS-CoV-2 Omicron variant in Shanghai, China: a descriptive study
title_full_unstemmed Epidemiological characteristics and transmission dynamics of the outbreak caused by the SARS-CoV-2 Omicron variant in Shanghai, China: a descriptive study
title_short Epidemiological characteristics and transmission dynamics of the outbreak caused by the SARS-CoV-2 Omicron variant in Shanghai, China: a descriptive study
title_sort epidemiological characteristics and transmission dynamics of the outbreak caused by the sars-cov-2 omicron variant in shanghai, china: a descriptive study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238184/
https://www.ncbi.nlm.nih.gov/pubmed/35765564
http://dx.doi.org/10.1101/2022.06.11.22276273
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