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Analyzing and Modeling the Spread of SARS-CoV-2 Omicron Lineages BA.1 and BA.2, France, September 2021–February 2022
We analyzed 324,734 SARS-CoV-2 variant screening tests from France enriched with 16,973 whole-genome sequences sampled during September 1, 2021–February 28, 2022. Results showed the estimated growth advantage of the Omicron variant over the Delta variant to be 105% (95% CI 96%–114%) and that of the...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Centers for Disease Control and Prevention
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239895/ https://www.ncbi.nlm.nih.gov/pubmed/35642476 http://dx.doi.org/10.3201/eid2807.220033 |
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author | Sofonea, Mircea T. Roquebert, Bénédicte Foulongne, Vincent Morquin, David Verdurme, Laura Trombert-Paolantoni, Sabine Roussel, Mathilde Bonetti, Jean-Christophe Zerah, Judith Haim-Boukobza, Stéphanie Alizon, Samuel |
author_facet | Sofonea, Mircea T. Roquebert, Bénédicte Foulongne, Vincent Morquin, David Verdurme, Laura Trombert-Paolantoni, Sabine Roussel, Mathilde Bonetti, Jean-Christophe Zerah, Judith Haim-Boukobza, Stéphanie Alizon, Samuel |
author_sort | Sofonea, Mircea T. |
collection | PubMed |
description | We analyzed 324,734 SARS-CoV-2 variant screening tests from France enriched with 16,973 whole-genome sequences sampled during September 1, 2021–February 28, 2022. Results showed the estimated growth advantage of the Omicron variant over the Delta variant to be 105% (95% CI 96%–114%) and that of the BA.2 lineage over the BA.1 lineage to be 49% (95% CI 44%–52%). Quantitative PCR cycle threshold values were consistent with an increased ability of Omicron to generate breakthrough infections. Epidemiologic modeling shows that, in spite of its decreased virulence, the Omicron variant can generate important critical COVID-19 activity in hospitals in France. The magnitude of the BA.2 wave in hospitals depends on the level of relaxing of control measures but remains lower than that of BA.1 in median scenarios. |
format | Online Article Text |
id | pubmed-9239895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-92398952022-07-06 Analyzing and Modeling the Spread of SARS-CoV-2 Omicron Lineages BA.1 and BA.2, France, September 2021–February 2022 Sofonea, Mircea T. Roquebert, Bénédicte Foulongne, Vincent Morquin, David Verdurme, Laura Trombert-Paolantoni, Sabine Roussel, Mathilde Bonetti, Jean-Christophe Zerah, Judith Haim-Boukobza, Stéphanie Alizon, Samuel Emerg Infect Dis Research We analyzed 324,734 SARS-CoV-2 variant screening tests from France enriched with 16,973 whole-genome sequences sampled during September 1, 2021–February 28, 2022. Results showed the estimated growth advantage of the Omicron variant over the Delta variant to be 105% (95% CI 96%–114%) and that of the BA.2 lineage over the BA.1 lineage to be 49% (95% CI 44%–52%). Quantitative PCR cycle threshold values were consistent with an increased ability of Omicron to generate breakthrough infections. Epidemiologic modeling shows that, in spite of its decreased virulence, the Omicron variant can generate important critical COVID-19 activity in hospitals in France. The magnitude of the BA.2 wave in hospitals depends on the level of relaxing of control measures but remains lower than that of BA.1 in median scenarios. Centers for Disease Control and Prevention 2022-07 /pmc/articles/PMC9239895/ /pubmed/35642476 http://dx.doi.org/10.3201/eid2807.220033 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Sofonea, Mircea T. Roquebert, Bénédicte Foulongne, Vincent Morquin, David Verdurme, Laura Trombert-Paolantoni, Sabine Roussel, Mathilde Bonetti, Jean-Christophe Zerah, Judith Haim-Boukobza, Stéphanie Alizon, Samuel Analyzing and Modeling the Spread of SARS-CoV-2 Omicron Lineages BA.1 and BA.2, France, September 2021–February 2022 |
title | Analyzing and Modeling the Spread of SARS-CoV-2 Omicron Lineages BA.1 and BA.2, France, September 2021–February 2022 |
title_full | Analyzing and Modeling the Spread of SARS-CoV-2 Omicron Lineages BA.1 and BA.2, France, September 2021–February 2022 |
title_fullStr | Analyzing and Modeling the Spread of SARS-CoV-2 Omicron Lineages BA.1 and BA.2, France, September 2021–February 2022 |
title_full_unstemmed | Analyzing and Modeling the Spread of SARS-CoV-2 Omicron Lineages BA.1 and BA.2, France, September 2021–February 2022 |
title_short | Analyzing and Modeling the Spread of SARS-CoV-2 Omicron Lineages BA.1 and BA.2, France, September 2021–February 2022 |
title_sort | analyzing and modeling the spread of sars-cov-2 omicron lineages ba.1 and ba.2, france, september 2021–february 2022 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239895/ https://www.ncbi.nlm.nih.gov/pubmed/35642476 http://dx.doi.org/10.3201/eid2807.220033 |
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