Your browser doesn't support javascript.
Drivers of SARS-CoV-2 testing behaviour: a modelling study using nationwide testing data in England.
Kim, Younjung; Donnelly, Christl A; Nouvellet, Pierre.
  • Kim Y; Department of Evolution, Behaviour, and Environment, School of Life Sciences, University of Sussex, Brighton, UK.
  • Donnelly CA; Department of Statistics, University of Oxford, Oxford, UK.
  • Nouvellet P; Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Nat Commun ; 14(1): 2148, 2023 04 14.
Article in English | MEDLINE | ID: covidwho-2297890
ABSTRACT
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Systematic review/Meta Analysis Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Europa Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2023 Document Type: Article Affiliation country: S41467-023-37813-1

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Systematic review/Meta Analysis Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Europa Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2023 Document Type: Article Affiliation country: S41467-023-37813-1