Compliance with COVID-19 preventative health measures in the United Kingdom: a latent profile analysis.

Governments have adopted unprecedented measures to assist in slowing the spread of the COVID-19 pandemic, but compliance varies among individuals. This UK study uses latent profile analysis to identify four classes of individuals on factors believed to influence compliance. Those who sought health information from authoritative sources and actively sought information from multiple sources were most compliant. Profile differences in compliance and vaccination status were also primarily driven by trust in healthcare institutions over trust in government. These findings contribute to understanding compliance profiles and emphasise the importance of authoritative information and trust in healthcare systems.

Profiling adopters (and non-adopters) of a contact tracing mobile application: Insights from Australia.

OBJECTIVE: Many governments are using contact tracing mobile applications (CTMAs) yet public adoption of such systems has been relatively low. The main objective of this paper is to profile adopters (and non-adopters) of Australia's COVIDSafe CTMA. MATERIALS AND METHODS: We use latent profile analysis to examine predictors of CTMA download behaviour. Specifically, we draw on a representative Australian sample (N = 2575) to examine the interplay between age, education, income, dispositional desire for privacy and political ideology on download behaviour. We examine trust in government as a mediating mechanism between profiles and download behaviour. RESULTS: Our analysis produces seven profiles. Trust in government mediates the relationship between most profiles and download behaviour. A combination of wealth and education appear to be key explanatory factors of CTMA download behaviour. Two profiles -- comprising individuals with high income and education -- had the highest rates of download behaviour. Profiles with low download percentages comprised politically left-leaning participants with average to low income and education. CONCLUSION: Our findings clearly indicate the profiles of people who are (not) likely to download a CTMA. Practical ways to improve widespread adoption include providing structural support to the more vulnerable members of society, making clear the societal benefits of downloading CTMAs, and engaging in bipartisan promotion of such apps.