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Trends of SARS-CoV-2 Infection in Sentinel Community-Based Surveillance After the Optimization of Prevention and Control Measures — China, December 2022–January 2023
INTRODUCTION: On December 7, 2022, China implemented the “Ten New Measures” to optimize its prevention and control measures for coronavirus disease 2019 (COVID-19). To provide the latest data after the optimization, we evaluated trends of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061761/ https://www.ncbi.nlm.nih.gov/pubmed/37009518 http://dx.doi.org/10.46234/ccdcw2023.028 |
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author | Liu, Jue Ding, Fan Wu, Yu Jing, Wenzhan Yan, Wenxin Qin, Chenyuan Li, Fangyuan Zhang, Yanping Liu, Min Liang, Wannian Li, Qun |
author_facet | Liu, Jue Ding, Fan Wu, Yu Jing, Wenzhan Yan, Wenxin Qin, Chenyuan Li, Fangyuan Zhang, Yanping Liu, Min Liang, Wannian Li, Qun |
author_sort | Liu, Jue |
collection | PubMed |
description | INTRODUCTION: On December 7, 2022, China implemented the “Ten New Measures” to optimize its prevention and control measures for coronavirus disease 2019 (COVID-19). To provide the latest data after the optimization, we evaluated trends of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among the community population in China. METHODS: We utilized data from the National Sentinel Community-Based Surveillance (NSCS) system in China to assess trends of SARS-CoV-2 infection. NSCS is a national community-based surveillance cohort with 0.42 million participants from all 31 provincial-level administrative divisions (PLADs) and Xinjiang Production and Construction Corps (XPCC). Participants were tested for infection twice a week (a total of eight rounds) from December 16, 2022 to January 12, 2023. SARS-CoV-2 infection was defined as testing positive for SARS-CoV-2 nucleic acid or antigen. We calculated the daily average of newly positive rates of SARS-CoV-2 infection. RESULTS: In this national cohort, the daily average newly positive rate of SARS-CoV-2 infection decreased from 4.13% in Round 1 (December 16–19, 2022) to 0.69% in Round 8 (January 10–12, 2023). The epidemic peak occurred in Round 2 (December 20–22, 2022). Similar trends were observed in urban areas (decreasing from 4.65% to 0.73%), rural areas (decreasing from 2.83% to 0.57%), the eastern region (decreasing from 4.18% to 0.67%), the central region (decreasing from 5.43% to 0.61%), and the western region (decreasing from 3.01% to 0.77%). CONCLUSIONS: NSCS data showed that the peak of SARS-CoV-2 infection in China had passed. SARS-CoV-2 infection in community populations in China is currently at a low epidemic level. |
format | Online Article Text |
id | pubmed-10061761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-100617612023-03-31 Trends of SARS-CoV-2 Infection in Sentinel Community-Based Surveillance After the Optimization of Prevention and Control Measures — China, December 2022–January 2023 Liu, Jue Ding, Fan Wu, Yu Jing, Wenzhan Yan, Wenxin Qin, Chenyuan Li, Fangyuan Zhang, Yanping Liu, Min Liang, Wannian Li, Qun China CDC Wkly Vital Surveillances INTRODUCTION: On December 7, 2022, China implemented the “Ten New Measures” to optimize its prevention and control measures for coronavirus disease 2019 (COVID-19). To provide the latest data after the optimization, we evaluated trends of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among the community population in China. METHODS: We utilized data from the National Sentinel Community-Based Surveillance (NSCS) system in China to assess trends of SARS-CoV-2 infection. NSCS is a national community-based surveillance cohort with 0.42 million participants from all 31 provincial-level administrative divisions (PLADs) and Xinjiang Production and Construction Corps (XPCC). Participants were tested for infection twice a week (a total of eight rounds) from December 16, 2022 to January 12, 2023. SARS-CoV-2 infection was defined as testing positive for SARS-CoV-2 nucleic acid or antigen. We calculated the daily average of newly positive rates of SARS-CoV-2 infection. RESULTS: In this national cohort, the daily average newly positive rate of SARS-CoV-2 infection decreased from 4.13% in Round 1 (December 16–19, 2022) to 0.69% in Round 8 (January 10–12, 2023). The epidemic peak occurred in Round 2 (December 20–22, 2022). Similar trends were observed in urban areas (decreasing from 4.65% to 0.73%), rural areas (decreasing from 2.83% to 0.57%), the eastern region (decreasing from 4.18% to 0.67%), the central region (decreasing from 5.43% to 0.61%), and the western region (decreasing from 3.01% to 0.77%). CONCLUSIONS: NSCS data showed that the peak of SARS-CoV-2 infection in China had passed. SARS-CoV-2 infection in community populations in China is currently at a low epidemic level. Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2023-02-17 /pmc/articles/PMC10061761/ /pubmed/37009518 http://dx.doi.org/10.46234/ccdcw2023.028 Text en Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2023 https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ (https://creativecommons.org/licenses/by-nc-sa/4.0/) |
spellingShingle | Vital Surveillances Liu, Jue Ding, Fan Wu, Yu Jing, Wenzhan Yan, Wenxin Qin, Chenyuan Li, Fangyuan Zhang, Yanping Liu, Min Liang, Wannian Li, Qun Trends of SARS-CoV-2 Infection in Sentinel Community-Based Surveillance After the Optimization of Prevention and Control Measures — China, December 2022–January 2023 |
title | Trends of SARS-CoV-2 Infection in Sentinel Community-Based Surveillance After the Optimization of Prevention and Control Measures — China, December 2022–January 2023 |
title_full | Trends of SARS-CoV-2 Infection in Sentinel Community-Based Surveillance After the Optimization of Prevention and Control Measures — China, December 2022–January 2023 |
title_fullStr | Trends of SARS-CoV-2 Infection in Sentinel Community-Based Surveillance After the Optimization of Prevention and Control Measures — China, December 2022–January 2023 |
title_full_unstemmed | Trends of SARS-CoV-2 Infection in Sentinel Community-Based Surveillance After the Optimization of Prevention and Control Measures — China, December 2022–January 2023 |
title_short | Trends of SARS-CoV-2 Infection in Sentinel Community-Based Surveillance After the Optimization of Prevention and Control Measures — China, December 2022–January 2023 |
title_sort | trends of sars-cov-2 infection in sentinel community-based surveillance after the optimization of prevention and control measures — china, december 2022–january 2023 |
topic | Vital Surveillances |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061761/ https://www.ncbi.nlm.nih.gov/pubmed/37009518 http://dx.doi.org/10.46234/ccdcw2023.028 |
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