Cargando…
Understanding the immunological landscape of England during SARS-CoV2 Omicron variant wave
Understanding the scale of the threat posed by SARS-CoV2 B.1.1.529, or Omicron, variant formed a key problem in public health in the early part of 2022. Early evidence indicated that the variant was more transmissible and less severe than previous variants. As the virus was expected to spread quickl...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565446/ https://www.ncbi.nlm.nih.gov/pubmed/36240178 http://dx.doi.org/10.1371/journal.pone.0264870 |
_version_ | 1784808892073508864 |
---|---|
author | Shingleton, Joseph Dyke, Steven Herrick, Archie Finnie, Thomas |
author_facet | Shingleton, Joseph Dyke, Steven Herrick, Archie Finnie, Thomas |
author_sort | Shingleton, Joseph |
collection | PubMed |
description | Understanding the scale of the threat posed by SARS-CoV2 B.1.1.529, or Omicron, variant formed a key problem in public health in the early part of 2022. Early evidence indicated that the variant was more transmissible and less severe than previous variants. As the virus was expected to spread quickly through the population of England, it was important that some understanding of the immunological landscape of the country was developed. This paper attempts to estimate the number of people with good immunity to the Omicron variant, defined as either recent infection with two doses of vaccine, or two doses of vaccine with a recent booster dose. To achieve this, we use a process of iterative proportional fitting to estimate the cell values of a contingency table, using national immunisation records and real-time model infection estimates as marginal values. Our results indicate that, despite the increased risk of immune evasion with the Omicron variant, a high proportion of England’s population had good immunity to the virus, particularly in older age groups. However, low rates of immunity in younger populations may allow endemic infection to persist for some time. |
format | Online Article Text |
id | pubmed-9565446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-95654462022-10-15 Understanding the immunological landscape of England during SARS-CoV2 Omicron variant wave Shingleton, Joseph Dyke, Steven Herrick, Archie Finnie, Thomas PLoS One Research Article Understanding the scale of the threat posed by SARS-CoV2 B.1.1.529, or Omicron, variant formed a key problem in public health in the early part of 2022. Early evidence indicated that the variant was more transmissible and less severe than previous variants. As the virus was expected to spread quickly through the population of England, it was important that some understanding of the immunological landscape of the country was developed. This paper attempts to estimate the number of people with good immunity to the Omicron variant, defined as either recent infection with two doses of vaccine, or two doses of vaccine with a recent booster dose. To achieve this, we use a process of iterative proportional fitting to estimate the cell values of a contingency table, using national immunisation records and real-time model infection estimates as marginal values. Our results indicate that, despite the increased risk of immune evasion with the Omicron variant, a high proportion of England’s population had good immunity to the virus, particularly in older age groups. However, low rates of immunity in younger populations may allow endemic infection to persist for some time. Public Library of Science 2022-10-14 /pmc/articles/PMC9565446/ /pubmed/36240178 http://dx.doi.org/10.1371/journal.pone.0264870 Text en © 2022 Shingleton et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Shingleton, Joseph Dyke, Steven Herrick, Archie Finnie, Thomas Understanding the immunological landscape of England during SARS-CoV2 Omicron variant wave |
title | Understanding the immunological landscape of England during SARS-CoV2 Omicron variant wave |
title_full | Understanding the immunological landscape of England during SARS-CoV2 Omicron variant wave |
title_fullStr | Understanding the immunological landscape of England during SARS-CoV2 Omicron variant wave |
title_full_unstemmed | Understanding the immunological landscape of England during SARS-CoV2 Omicron variant wave |
title_short | Understanding the immunological landscape of England during SARS-CoV2 Omicron variant wave |
title_sort | understanding the immunological landscape of england during sars-cov2 omicron variant wave |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565446/ https://www.ncbi.nlm.nih.gov/pubmed/36240178 http://dx.doi.org/10.1371/journal.pone.0264870 |
work_keys_str_mv | AT shingletonjoseph understandingtheimmunologicallandscapeofenglandduringsarscov2omicronvariantwave AT dykesteven understandingtheimmunologicallandscapeofenglandduringsarscov2omicronvariantwave AT herrickarchie understandingtheimmunologicallandscapeofenglandduringsarscov2omicronvariantwave AT finniethomas understandingtheimmunologicallandscapeofenglandduringsarscov2omicronvariantwave |