Predictors of Risk Perception About COVID-19: A Comparison Between USA, Canada, and UK
Madellena Conte1 ,Tanzim Bhuiya1, Richard J Klares III1, and Joseph Cervia1 1
Donald and Barbara Zucker School of Medicine at Hofstra/Northwell
Background
Results
● Government interventions play a crucial role in
mitigating the spread and controlling the COVID-19 pandemic. ● Behavior change will occur only if interventions target perceived barriers, benefits, self-efficacy, and threats. ● There is a disconnect between policy and public actions, as seen by lack of adherence to COVID-19 public health measures. ● This can, in part, be attributed to the public’s risk perceptions about COVID-19.
Objective ● We report on the roles of education and income in
predicting risk perceptions about COVID-19 among residents in the US, Canada, and UK.
Methods ● Dataset obtained from Pennycook et, al. ● Data was extracted from three pre-registered surveys
conducted by the polling firm Prolific ● Parallel quota sampling was conducted for residents
from the U.S.A (N=689) and the U.K (N=642). Convenience sampling was conducted for residents from Canada (N=644). ● Three key outcome variables were analyzed this study: 1) Misperceptions about COVID-19, 2) Risk perceptions about COVID-19, and 3) Personal risk perceptions about COVID-19. ● Binary logistic regressions were conducted to investigate the roles country of residence, education and household income had on the outcome variables
Discussion ● Statistically significant: Being a resident of the UK was
associated with a higher odds of having risk perception about COVID-19 compared with residents of the USA (OR = 1.5, 95%CI 0.818 – 1.264) Figure 7: Independent CRISPR knockout of CDK4 or CDK6 ● In our model, education and income quartiles were not does not cause dropout in most breast cancer cell lines studied. statistically significant predictors for risk perceptions about COVID-19 ● Limitations: income quartiles did not consider currency or household number
Conclusion ● Differences in risk perception about COVID-19 was
statistically significant across countries. Predicting risk perception using education and income was not statistically significant. ● Successful adherence to public health policies requires messaging that considers populations’ risk perceptions
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