Abstract
In the present study, I explored the relationship between people's trust in different agents related to the prevention of the spread of coronavirus disease 2019 (COVID-19) and their compliance with pharmaceutical and non-pharmaceutical preventive measures. The COVIDiSTRESSII Global Survey dataset, which was collected from international samples, was analysed to examine the aforementioned relationship across different countries. For data-driven exploration, network analysis and Bayesian generalised linear model (GLM) analysis were performed. The result from network analysis demonstrated that trust in the scientific research community was most central in the network of trust and compliance. In addition, the outcome from Bayesian GLM analysis indicated that the same factor, trust in the scientific research community, was most fundamental in predicting participants' intent to comply with both pharmaceutical and non-pharmaceutical preventive measures. I briefly discussed the implications of the findings, the importance of trust in the scientific research community in explaining people's compliance with a measure to prevent the spread of COVID-19.
Highlights
Since the onset of the current COVID-19 pandemic, different agents, including but not limited to, governments, organizations, and scientific communities, have been developing, implementing, and enforcing measures to prevent spread of COVID-19
The outcome of Bayesian generalized linear model (GLM) analysis with each compliance dependent variable was presented in each row
Robust connectivity between trust and compliance variables even after penalizing unnecessary edge features via graphical LASSO (GLASSO) was demonstrated in the visualized network plot
Summary
Since the onset of the current COVID-19 pandemic, different agents, including but not limited to, governments, organizations, and scientific communities, have been developing, implementing, and enforcing measures to prevent spread of COVID-19. Such measures embrace both pharmaceutical and non-pharmaceutical means. It would be important to understand which factors are involved in people‘s compliance as well as noncompliance with preventive measures. Previous research has suggested that trust in agents addressing pandemic-related matters is one of the most fundamental factors predicting compliance with preventive measures [8].
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