Knowledge and Perception of COVID-19 Related Social Distancing Regulations: A Cross-Sectional Study of Bangladeshis Living in Bangladesh and the United States

Sonica Sayam
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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
对COVID-19相关社交距离法规的知识和感知:对生活在孟加拉国和美国的孟加拉国人的横断面研究
本研究比较了生活在孟加拉国(BD)和美国(US)的孟加拉国人对社会距离法规(PSDR)的看法。方法:采用横断面调查法收集资料(n = 2338;英国=1879,美国=459)在2020年6月和7月期间使用社交媒体平台。根据回答,“感知分数”的值在0-9之间。采用SAS 9.4进行双变量分析和有序逻辑回归,探讨PSDR与社会人口统计学特征(sdc)之间的关系。结果:双变量分析显示,PSDR与美国参与者的最高教育水平(p=0.002)和BD (p<0.0001)显著相关;家庭收入(p=0.001)和居住面积(p=0.002)在BD参与者中具有显著的影响。有序逻辑回归显示教育对PSDR评分有显著影响,但家庭收入对PSDR评分没有影响。结论:在同一种族的人群中,sdc在预测COVID-19相关PSDR评分方面的作用因其目前的主要居住国而异
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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