Implementation and Cancellation of the Dynamic Zero-COVID Policy Led to a Steep Transient Peak in the First COVID-19 Surge in Beijing Dominated by a Nonprevalent SARS-CoV-2 Variant

This study tried to reveal how the implementation and cancellation of the dynamic zero-COVID policy could affect the development of the epidemic through wastewater surveillance of SARS-CoV-2 in Beijing during its first COVID-19 surge. A total of 443 24 h composite wastewater samples were taken from seven manholes and 10 wastewater treatment plants immediately on December 7, 2022, when the new COVID-19 policy was implemented, for the detection of SARS-CoV-2. The results showed that the first COVID-19 surge in Beijing was characterized by a rapid outbreak, short duration (one month), and extremely high infection rate (92.8%). Wastewater tiling amplicon sequencing showed that the main subvariant for this surge was BF.7.14 (65%), which has never caused an outbreak in other countries in the world. The variant BF.7.14 appeared in Beijing on August 15, 2022, as an imported case and then managed to retain and become a dominant variant as the strict dynamic zero policy had blocked the entry of other more infectious SARS-CoV-2 variants. This is the first study to capture the unique picture of the epidemic development in Beijing during its first COVID-19 surge, demonstrating that the strict dynamic zero-COVID strategy could shape the infection patterns greatly.

Authors

Institutions

Publication Details

Journal
ACS ES&T Water
Published
2024-08-16
DOI
https://doi.org/10.1021/acsestwater.4c00295
Citations
4
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
1.56

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation and Cancellation of the Dynamic Zero-COVID Policy Led to a Steep Transient Peak in the First COVID-19 Surge in Beijing Dominated by a Nonprevalent SARS-CoV-2 Variant

Zhe Tian, Peng Wang, Lixin Yu, Song Tang et al.
4 citations
ACS ES&T Water
SARS-CoV-2 detection and testing
1.56
article

Implementation and Cancellation of the Dynamic Zero-COVID Policy Led to a Steep Transient Peak in the First COVID-19 Surge in Beijing Dominated by a Nonprevalent SARS-CoV-2 Variant

Zhe Tian, Peng Wang, Lixin Yu, Song Tang, Xiao Zhang, Wenxiu Chen, Lan Zhang, Tong Zhang, Zhe Wang, Jianxin Zhang, Lina Yu, Min Yang, Dan Gao, Wenhui Gao, Chen Wang, Wei An, Yu Zhang
article en
4 citations

Abstract

This study tried to reveal how the implementation and cancellation of the dynamic zero-COVID policy could affect the development of the epidemic through wastewater surveillance of SARS-CoV-2 in Beijing during its first COVID-19 surge. A total of 443 24 h composite wastewater samples were taken from seven manholes and 10 wastewater treatment plants immediately on December 7, 2022, when the new COVID-19 policy was implemented, for the detection of SARS-CoV-2. The results showed that the first COVID-19 surge in Beijing was characterized by a rapid outbreak, short duration (one month), and extremely high infection rate (92.8%). Wastewater tiling amplicon sequencing showed that the main subvariant for this surge was BF.7.14 (65%), which has never caused an outbreak in other countries in the world. The variant BF.7.14 appeared in Beijing on August 15, 2022, as an imported case and then managed to retain and become a dominant variant as the strict dynamic zero policy had blocked the entry of other more infectious SARS-CoV-2 variants. This is the first study to capture the unique picture of the epidemic development in Beijing during its first COVID-19 surge, demonstrating that the strict dynamic zero-COVID strategy could shape the infection patterns greatly.

ACS ES&T WaterVol. 4(9)
Chinese Center For Disease Control and Prevention (CN), Chinese Academy of Sciences (CN), Sino-Danish Centre for Education and Research (CN), Research Center for Eco-Environmental Sciences (CN), Beijing Drainage Group (China) (CN), Beijing Center for Disease Prevention and Control (CN), University of Chinese Academy of Sciences (CN), University of Hong Kong (HK)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 17%
SARS-CoV-2 detection and testing
1.56
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.