Drivers of SARS-CoV-2 testing behaviour: a modelling study using nationwide testing data in England
<p>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 infec...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
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Springer Nature
2023
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| _version_ | 1826310329747898368 |
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| author | Kim, Y Donnelly, C Nouvellet, P |
| author_facet | Kim, Y Donnelly, C Nouvellet, P |
| author_sort | Kim, Y |
| collection | OXFORD |
| description | <p>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.</p> |
| first_indexed | 2024-03-07T07:50:20Z |
| format | Journal article |
| id | oxford-uuid:a7528068-6518-4dd3-b2c3-459e000cf730 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:50:20Z |
| publishDate | 2023 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | oxford-uuid:a7528068-6518-4dd3-b2c3-459e000cf7302023-07-07T11:12:38ZDrivers of SARS-CoV-2 testing behaviour: a modelling study using nationwide testing data in EnglandJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a7528068-6518-4dd3-b2c3-459e000cf730EnglishSymplectic ElementsSpringer Nature2023Kim, YDonnelly, CNouvellet, P<p>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.</p> |
| spellingShingle | Kim, Y Donnelly, C Nouvellet, P 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 |
| work_keys_str_mv | AT kimy driversofsarscov2testingbehaviouramodellingstudyusingnationwidetestingdatainengland AT donnellyc driversofsarscov2testingbehaviouramodellingstudyusingnationwidetestingdatainengland AT nouvelletp driversofsarscov2testingbehaviouramodellingstudyusingnationwidetestingdatainengland |