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Drivers of SARS-CoV-2 testing behaviour: a modelling study using nationwide testing data in England
During the COVID-19 pandemic, national testing programmes were conducted worldwide on unprecedented scales. While testing behaviour is generally recognised as dynamic and complex, current literature demonstrating and quantifying such relationships is scarce, despite its importance for infectious dis...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103662/ https://www.ncbi.nlm.nih.gov/pubmed/37059861 http://dx.doi.org/10.1038/s41467-023-37813-1 |
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author | Kim, Younjung Donnelly, Christl A. Nouvellet, Pierre |
author_facet | Kim, Younjung Donnelly, Christl A. Nouvellet, Pierre |
author_sort | Kim, Younjung |
collection | PubMed |
description | During the COVID-19 pandemic, national testing programmes were conducted worldwide on unprecedented scales. While testing behaviour is generally recognised as dynamic and complex, current literature demonstrating and quantifying such relationships is scarce, despite its importance for infectious disease surveillance and control. Here, we characterise the impacts of SARS-CoV-2 transmission, disease susceptibility/severity, risk perception, and public health measures on SARS-CoV-2 PCR testing behaviour in England over 20 months of the pandemic, by linking testing trends to underlying epidemic trends and contextual meta-data within a systematic conceptual framework. The best-fitting model describing SARS-CoV-2 PCR testing behaviour explained close to 80% of the total deviance in NHS test data. Testing behaviour showed complex associations with factors reflecting transmission level, disease susceptibility/severity (e.g. age, dominant variant, and vaccination), public health measures (e.g. testing strategies and lockdown), and associated changes in risk perception, varying throughout the pandemic and differing between infected and non-infected people. |
format | Online Article Text |
id | pubmed-10103662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101036622023-04-16 Drivers of SARS-CoV-2 testing behaviour: a modelling study using nationwide testing data in England Kim, Younjung Donnelly, Christl A. Nouvellet, Pierre Nat Commun Article During the COVID-19 pandemic, national testing programmes were conducted worldwide on unprecedented scales. While testing behaviour is generally recognised as dynamic and complex, current literature demonstrating and quantifying such relationships is scarce, despite its importance for infectious disease surveillance and control. Here, we characterise the impacts of SARS-CoV-2 transmission, disease susceptibility/severity, risk perception, and public health measures on SARS-CoV-2 PCR testing behaviour in England over 20 months of the pandemic, by linking testing trends to underlying epidemic trends and contextual meta-data within a systematic conceptual framework. The best-fitting model describing SARS-CoV-2 PCR testing behaviour explained close to 80% of the total deviance in NHS test data. Testing behaviour showed complex associations with factors reflecting transmission level, disease susceptibility/severity (e.g. age, dominant variant, and vaccination), public health measures (e.g. testing strategies and lockdown), and associated changes in risk perception, varying throughout the pandemic and differing between infected and non-infected people. Nature Publishing Group UK 2023-04-14 /pmc/articles/PMC10103662/ /pubmed/37059861 http://dx.doi.org/10.1038/s41467-023-37813-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kim, Younjung Donnelly, Christl A. Nouvellet, Pierre Drivers of SARS-CoV-2 testing behaviour: a modelling study using nationwide testing data in England |
title | Drivers of SARS-CoV-2 testing behaviour: a modelling study using nationwide testing data in England |
title_full | Drivers of SARS-CoV-2 testing behaviour: a modelling study using nationwide testing data in England |
title_fullStr | Drivers of SARS-CoV-2 testing behaviour: a modelling study using nationwide testing data in England |
title_full_unstemmed | Drivers of SARS-CoV-2 testing behaviour: a modelling study using nationwide testing data in England |
title_short | Drivers of SARS-CoV-2 testing behaviour: a modelling study using nationwide testing data in England |
title_sort | drivers of sars-cov-2 testing behaviour: a modelling study using nationwide testing data in england |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103662/ https://www.ncbi.nlm.nih.gov/pubmed/37059861 http://dx.doi.org/10.1038/s41467-023-37813-1 |
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