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Identifying susceptibility of children and adolescents to the Omicron variant (B.1.1.529)
BACKGROUND: The Omicron variant (B.1.1.529) is estimated to be more transmissible than previous strains of SARS-CoV-2 especially among children, potentially resulting in croup which is a characteristic disease in children. Current coronavirus disease 2019 (COVID-19) cases among children might be hig...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684890/ https://www.ncbi.nlm.nih.gov/pubmed/36419108 http://dx.doi.org/10.1186/s12916-022-02655-z |
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author | Chun, June Young Jeong, Hwichang Kim, Yongdai |
author_facet | Chun, June Young Jeong, Hwichang Kim, Yongdai |
author_sort | Chun, June Young |
collection | PubMed |
description | BACKGROUND: The Omicron variant (B.1.1.529) is estimated to be more transmissible than previous strains of SARS-CoV-2 especially among children, potentially resulting in croup which is a characteristic disease in children. Current coronavirus disease 2019 (COVID-19) cases among children might be higher because (i) school-aged children have higher contact rates and (ii) the COVID-19 vaccination strategy prioritizes the elderly in most countries. However, there have been no reports confirming the age-varying susceptibility to the Omicron variant to date. METHODS: We developed an age-structured compartmental model, combining age-specific contact matrix in South Korea and observed distribution of periods between each stage of infection in the national epidemiological investigation. A Bayesian inference method was used to estimate the age-specific force of infection and, accordingly, age-specific susceptibility, given epidemic data during the third (pre-Delta), fourth (Delta driven), and fifth (Omicron driven) waves in South Korea. As vaccine uptake increased, individuals who were vaccinated were excluded from the susceptible population in accordance with vaccine effectiveness against the Delta and Omicron variants, respectively. RESULTS: A significant difference between the age-specific susceptibility to the Omicron and that to the pre-Omicron variants was found in the younger age group. The rise in susceptibility to the Omicron/pre-Delta variant was highest in the 10–15 years age group (5.28 times [95% CI, 4.94–5.60]), and the rise in susceptibility to the Omicron/Delta variant was highest in the 15–19 years age group (3.21 times [95% CI, 3.12–3.31]), whereas in those aged 50 years or more, the susceptibility to the Omicron/pre-Omicron remained stable at approximately twofold. CONCLUSIONS: Even after adjusting for contact pattern, vaccination status, and waning of vaccine effectiveness, the Omicron variant of SARS-CoV-2 tends to propagate more easily among children than the pre-Omicron strains. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02655-z. |
format | Online Article Text |
id | pubmed-9684890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96848902022-11-25 Identifying susceptibility of children and adolescents to the Omicron variant (B.1.1.529) Chun, June Young Jeong, Hwichang Kim, Yongdai BMC Med Research Article BACKGROUND: The Omicron variant (B.1.1.529) is estimated to be more transmissible than previous strains of SARS-CoV-2 especially among children, potentially resulting in croup which is a characteristic disease in children. Current coronavirus disease 2019 (COVID-19) cases among children might be higher because (i) school-aged children have higher contact rates and (ii) the COVID-19 vaccination strategy prioritizes the elderly in most countries. However, there have been no reports confirming the age-varying susceptibility to the Omicron variant to date. METHODS: We developed an age-structured compartmental model, combining age-specific contact matrix in South Korea and observed distribution of periods between each stage of infection in the national epidemiological investigation. A Bayesian inference method was used to estimate the age-specific force of infection and, accordingly, age-specific susceptibility, given epidemic data during the third (pre-Delta), fourth (Delta driven), and fifth (Omicron driven) waves in South Korea. As vaccine uptake increased, individuals who were vaccinated were excluded from the susceptible population in accordance with vaccine effectiveness against the Delta and Omicron variants, respectively. RESULTS: A significant difference between the age-specific susceptibility to the Omicron and that to the pre-Omicron variants was found in the younger age group. The rise in susceptibility to the Omicron/pre-Delta variant was highest in the 10–15 years age group (5.28 times [95% CI, 4.94–5.60]), and the rise in susceptibility to the Omicron/Delta variant was highest in the 15–19 years age group (3.21 times [95% CI, 3.12–3.31]), whereas in those aged 50 years or more, the susceptibility to the Omicron/pre-Omicron remained stable at approximately twofold. CONCLUSIONS: Even after adjusting for contact pattern, vaccination status, and waning of vaccine effectiveness, the Omicron variant of SARS-CoV-2 tends to propagate more easily among children than the pre-Omicron strains. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02655-z. BioMed Central 2022-11-23 /pmc/articles/PMC9684890/ /pubmed/36419108 http://dx.doi.org/10.1186/s12916-022-02655-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Chun, June Young Jeong, Hwichang Kim, Yongdai Identifying susceptibility of children and adolescents to the Omicron variant (B.1.1.529) |
title | Identifying susceptibility of children and adolescents to the Omicron variant (B.1.1.529) |
title_full | Identifying susceptibility of children and adolescents to the Omicron variant (B.1.1.529) |
title_fullStr | Identifying susceptibility of children and adolescents to the Omicron variant (B.1.1.529) |
title_full_unstemmed | Identifying susceptibility of children and adolescents to the Omicron variant (B.1.1.529) |
title_short | Identifying susceptibility of children and adolescents to the Omicron variant (B.1.1.529) |
title_sort | identifying susceptibility of children and adolescents to the omicron variant (b.1.1.529) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684890/ https://www.ncbi.nlm.nih.gov/pubmed/36419108 http://dx.doi.org/10.1186/s12916-022-02655-z |
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