Al-Zubaidy, Noor and Crespo, Roberto and Jones, Sarah and Drikvandi, Reza and Gould, Lisa and Leis, Melanie and Maheswaran, Hendramoorty and Neves, Ana Luisa and Darzi, Ara (2021) 'Using big data analytics to explore the relationship between government stringency and preventative social behaviour during the COVID-19 pandemic in the United Kingdom.', Health Informatics Journal .
We evaluated the association between preventative social behaviour and government stringency. Additionally, we sought to evaluate the influence of additional factors including time, need to protect others (using the reported number of COVID-19 deaths as a surrogate measure) and reported confidence in government handling of the COVID-19 pandemic. We used repeated national cross-sectional surveys the UK over the course of 41 weeks from 1st April 2020 to January 28th, 2021, including a total of 38,092 participants. Preventative social behaviour and government stringency index scores were significantly associated on linear regression analyses (R2 =0.6468, p<0.001, and remained significant after controlling for the effect of reported COVID-19 deaths, confidence in government handling of the pandemic, and time (R2=0.898, p<0.001). Longitudinal data suggest that government stringency is an effective tool in promoting preventative social behaviour in the fight against COVID-19.
|Full text:||(AM) Accepted Manuscript|
Download PDF (716Kb)
|Publisher Web site:||https://journals.sagepub.com/home/jhi|
|Publisher statement:||This contribution has been accepted for publication in Health Informatics Journal.|
|Date accepted:||No date available|
|Date deposited:||18 October 2021|
|Date of first online publication:||2021|
|Date first made open access:||18 October 2021|
Save or Share this output
|Look up in GoogleScholar|