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Using big data analytics to explore the relationship between government stringency and preventative social behaviour during the COVID-19 pandemic in the United Kingdom

Al-Zubaidy, N.; Fernandez Crespo, R.; Jones, S.; Drikvandi, R.; Gould, L.; Leis, M.; Maheswaran, H.; Neves, A. L.; Darzi, A.

2021-07-10 public and global health
10.1101/2021.07.09.21260246 medRxiv
Show abstract

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.

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