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SARS-CoV-2 Surveillance Through China Influenza Surveillance Information System — China, December 1, 2022 to February 12, 2023
INTRODUCTION: The World Health Organization (WHO) proposed using influenza surveillance systems to carry out coronavirus disease 2019 (COVID-19) surveillance due to the similarity between the two diseases in some respiratory symptoms. To assess the prevalence of COVID-19, we analyzed the influenza-l...
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/PMC10061762/ https://www.ncbi.nlm.nih.gov/pubmed/37009521 http://dx.doi.org/10.46234/ccdcw2023.027 |
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author | Zeng, Xiaoxu Xie, Yiran Yang, Xiaokun Peng, Zhibin Tang, Jing Yang, Lei Lin, Shuxia Han, Jun Zhang, Yanping Wang, Dayan |
author_facet | Zeng, Xiaoxu Xie, Yiran Yang, Xiaokun Peng, Zhibin Tang, Jing Yang, Lei Lin, Shuxia Han, Jun Zhang, Yanping Wang, Dayan |
author_sort | Zeng, Xiaoxu |
collection | PubMed |
description | INTRODUCTION: The World Health Organization (WHO) proposed using influenza surveillance systems to carry out coronavirus disease 2019 (COVID-19) surveillance due to the similarity between the two diseases in some respiratory symptoms. To assess the prevalence of COVID-19, we analyzed the influenza-like illness (ILI) and positive rate of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detections in ILI patients reported to the influenza Surveillance Information System (CNISIS) since late 2022. METHODS: Data related to ILI were reported by national surveillance sentinel hospitals. Positive testing for SARS-CoV-2 and influenza viruses was conducted using real-time reverse transcription polymerase chain reaction (rRT-PCR) detection by the national influenza surveillance network laboratories. Surveillance data were reported to CNISIS. RESULTS: Beginning on December 12, 2022 (Week 50), the ILI percentage increased dramatically, peaking in Week 51 at 12.1%. Subsequently, the ILI percentage began to decline rapidly from Week 52, 2022, and by Week 6, 2023 (February 6–12), the ILI and ILI percentage had returned to the levels observed at the beginning of December 2022. From December 1, 2022 to February 12, 2023, 115,844 specimens were tested for both SARS-CoV-2 and influenza virus. Of these, 30,381 (26.2%) were positive for SARS-CoV-2 and 1,763 (1.5%) were positive for influenza virus. The positive rate of SARS-CoV-2 tests peaked at 74.1% around December 23 and 25. CONCLUSIONS: Sentinel-based surveillance, previously established for influenza, is an effective way to track the circulation trend of SARS-CoV-2 during community-level epidemics. There was no co-prevalence of SARS-CoV-2 and influenza virus during the outbreak of SARS-CoV-2, even during the winter influenza season. However, it is important to remain vigilant for the potential rise of influenza activities following the COVID-19 epidemic. |
format | Online Article Text |
id | pubmed-10061762 |
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-100617622023-03-31 SARS-CoV-2 Surveillance Through China Influenza Surveillance Information System — China, December 1, 2022 to February 12, 2023 Zeng, Xiaoxu Xie, Yiran Yang, Xiaokun Peng, Zhibin Tang, Jing Yang, Lei Lin, Shuxia Han, Jun Zhang, Yanping Wang, Dayan China CDC Wkly Vital Surveillances INTRODUCTION: The World Health Organization (WHO) proposed using influenza surveillance systems to carry out coronavirus disease 2019 (COVID-19) surveillance due to the similarity between the two diseases in some respiratory symptoms. To assess the prevalence of COVID-19, we analyzed the influenza-like illness (ILI) and positive rate of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detections in ILI patients reported to the influenza Surveillance Information System (CNISIS) since late 2022. METHODS: Data related to ILI were reported by national surveillance sentinel hospitals. Positive testing for SARS-CoV-2 and influenza viruses was conducted using real-time reverse transcription polymerase chain reaction (rRT-PCR) detection by the national influenza surveillance network laboratories. Surveillance data were reported to CNISIS. RESULTS: Beginning on December 12, 2022 (Week 50), the ILI percentage increased dramatically, peaking in Week 51 at 12.1%. Subsequently, the ILI percentage began to decline rapidly from Week 52, 2022, and by Week 6, 2023 (February 6–12), the ILI and ILI percentage had returned to the levels observed at the beginning of December 2022. From December 1, 2022 to February 12, 2023, 115,844 specimens were tested for both SARS-CoV-2 and influenza virus. Of these, 30,381 (26.2%) were positive for SARS-CoV-2 and 1,763 (1.5%) were positive for influenza virus. The positive rate of SARS-CoV-2 tests peaked at 74.1% around December 23 and 25. CONCLUSIONS: Sentinel-based surveillance, previously established for influenza, is an effective way to track the circulation trend of SARS-CoV-2 during community-level epidemics. There was no co-prevalence of SARS-CoV-2 and influenza virus during the outbreak of SARS-CoV-2, even during the winter influenza season. However, it is important to remain vigilant for the potential rise of influenza activities following the COVID-19 epidemic. Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2023-02-17 /pmc/articles/PMC10061762/ /pubmed/37009521 http://dx.doi.org/10.46234/ccdcw2023.027 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 Zeng, Xiaoxu Xie, Yiran Yang, Xiaokun Peng, Zhibin Tang, Jing Yang, Lei Lin, Shuxia Han, Jun Zhang, Yanping Wang, Dayan SARS-CoV-2 Surveillance Through China Influenza Surveillance Information System — China, December 1, 2022 to February 12, 2023 |
title | SARS-CoV-2 Surveillance Through China Influenza Surveillance Information System — China, December 1, 2022 to February 12, 2023 |
title_full | SARS-CoV-2 Surveillance Through China Influenza Surveillance Information System — China, December 1, 2022 to February 12, 2023 |
title_fullStr | SARS-CoV-2 Surveillance Through China Influenza Surveillance Information System — China, December 1, 2022 to February 12, 2023 |
title_full_unstemmed | SARS-CoV-2 Surveillance Through China Influenza Surveillance Information System — China, December 1, 2022 to February 12, 2023 |
title_short | SARS-CoV-2 Surveillance Through China Influenza Surveillance Information System — China, December 1, 2022 to February 12, 2023 |
title_sort | sars-cov-2 surveillance through china influenza surveillance information system — china, december 1, 2022 to february 12, 2023 |
topic | Vital Surveillances |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061762/ https://www.ncbi.nlm.nih.gov/pubmed/37009521 http://dx.doi.org/10.46234/ccdcw2023.027 |
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