한빛사논문
- 조회309
Younjung Kim 1, Christl A. Donnelly 2,3,4 & Pierre Nouvellet 1,4
1Department of Evolution, Behaviour, and Environment, School of Life Sciences, University of Sussex, Brighton, UK.
2Department of Statistics, University of Oxford, Oxford, UK.
3Pandemic Sciences Institute, University of Oxford, Oxford, UK.
4MRC Centre for Global Infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
Corresponding author : Correspondence to Pierre Nouvellet.
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.
논문정보
- Research article
- 2023년 04월 (BRIC 등록일 2023-04-17)
- 국외 연구진
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