Abstract
This study compared the Perception of Social Distancing Regulations (PSDR) among Bangladeshis living in Bangladesh (BD) and the United States (US). Methods: Data were collected through a cross-sectional survey (n = 2338; BD=1879, US=459) using social media platforms during June and July 2020. Based on the responses, ‘Perception Scores’ with values ranging from 0-9 were assigned. Using SAS 9.4, bivariate analyses and ordinal logistic regression were conducted to investigate the relationship between PSDR and Sociodemographic Characteristics (SDCs). Results: Bivariate analyses showed PSDR is significantly related with highest level of education among participants from the U.S. (p=0.002) and BD (p<0.0001); household income (p=0.001) and area of residence (p=0.002) among the participants of BD. Ordinal logistic regression revealed significant effect of education but no effect of household income in predicting higher PSDR score. Conclusion: In a population of the same ethnic origin, the role of SDCs varies in predicting the COVID-19 related PSDR score based on their current primary country of residence
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