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Using an influenza surveillance system to estimate the number of SARS-CoV-2 infections in Beijing, China, weeks 2 to 6 2023
With COVID-19 public health control measures downgraded in China in January 2023, reported COVID-19 case numbers may underestimate the true numbers after the SARS-CoV-2 Omicron wave. Using a multiplier model based on our influenza surveillance system, we estimated that the overall incidence of SARS-...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Centre for Disease Prevention and Control (ECDC)
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021470/ https://www.ncbi.nlm.nih.gov/pubmed/36927716 http://dx.doi.org/10.2807/1560-7917.ES.2023.28.11.2300128 |
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author | Zhang, Li Zhang, Yi Duan, Wei Wu, Shuangsheng Sun, Ying Ma, Chunna Wang, Quanyi Zhang, Daitao Yang, Peng |
author_facet | Zhang, Li Zhang, Yi Duan, Wei Wu, Shuangsheng Sun, Ying Ma, Chunna Wang, Quanyi Zhang, Daitao Yang, Peng |
author_sort | Zhang, Li |
collection | PubMed |
description | With COVID-19 public health control measures downgraded in China in January 2023, reported COVID-19 case numbers may underestimate the true numbers after the SARS-CoV-2 Omicron wave. Using a multiplier model based on our influenza surveillance system, we estimated that the overall incidence of SARS-CoV-2 infections was 392/100,000 population in Beijing during the 5 weeks following policy adjustment. No notable change occurred after the Spring Festival in early February. The multiplier model provides an opportunity for assessing the actual COVID-19 situation. |
format | Online Article Text |
id | pubmed-10021470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | European Centre for Disease Prevention and Control (ECDC) |
record_format | MEDLINE/PubMed |
spelling | pubmed-100214702023-03-18 Using an influenza surveillance system to estimate the number of SARS-CoV-2 infections in Beijing, China, weeks 2 to 6 2023 Zhang, Li Zhang, Yi Duan, Wei Wu, Shuangsheng Sun, Ying Ma, Chunna Wang, Quanyi Zhang, Daitao Yang, Peng Euro Surveill Rapid Communication With COVID-19 public health control measures downgraded in China in January 2023, reported COVID-19 case numbers may underestimate the true numbers after the SARS-CoV-2 Omicron wave. Using a multiplier model based on our influenza surveillance system, we estimated that the overall incidence of SARS-CoV-2 infections was 392/100,000 population in Beijing during the 5 weeks following policy adjustment. No notable change occurred after the Spring Festival in early February. The multiplier model provides an opportunity for assessing the actual COVID-19 situation. European Centre for Disease Prevention and Control (ECDC) 2023-03-16 /pmc/articles/PMC10021470/ /pubmed/36927716 http://dx.doi.org/10.2807/1560-7917.ES.2023.28.11.2300128 Text en This article is copyright of the authors or their affiliated institutions, 2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made. |
spellingShingle | Rapid Communication Zhang, Li Zhang, Yi Duan, Wei Wu, Shuangsheng Sun, Ying Ma, Chunna Wang, Quanyi Zhang, Daitao Yang, Peng Using an influenza surveillance system to estimate the number of SARS-CoV-2 infections in Beijing, China, weeks 2 to 6 2023 |
title | Using an influenza surveillance system to estimate the number of SARS-CoV-2 infections in Beijing, China, weeks 2 to 6 2023 |
title_full | Using an influenza surveillance system to estimate the number of SARS-CoV-2 infections in Beijing, China, weeks 2 to 6 2023 |
title_fullStr | Using an influenza surveillance system to estimate the number of SARS-CoV-2 infections in Beijing, China, weeks 2 to 6 2023 |
title_full_unstemmed | Using an influenza surveillance system to estimate the number of SARS-CoV-2 infections in Beijing, China, weeks 2 to 6 2023 |
title_short | Using an influenza surveillance system to estimate the number of SARS-CoV-2 infections in Beijing, China, weeks 2 to 6 2023 |
title_sort | using an influenza surveillance system to estimate the number of sars-cov-2 infections in beijing, china, weeks 2 to 6 2023 |
topic | Rapid Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021470/ https://www.ncbi.nlm.nih.gov/pubmed/36927716 http://dx.doi.org/10.2807/1560-7917.ES.2023.28.11.2300128 |
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