Purpose Socioeconomic status (SES) has been known to be associated with many aspects of social life such as health We argue that social stratification remains relevant in understanding differentials in health during a pandemic, as countries globally have encouraged or enforced social distancing and remote work measures Design/methodology/approach By examining data sources and news reports on the COVID-19 pandemic, we aim to highlight the relationship between SES and morbidity, through the ability to adopt social distancing measures and work remotely Utilizing publicly available data from the Maryland Transport Institute and the US Census, we performed linear regressions on median income, social distancing index and percentage of individuals working from home Findings Individuals with higher SES are more likely to have jobs that provide opportunities for remote work to be performed, which allows for social distancing Comparatively, individuals with lower SES are more likely to be involved in jobs that cannot be performed remotely The linear regression models suggest a positive moderate and significant correlation between median income and social distancing index (R-2 = 0 4981,p-value < 0 001), and a positive weak and significant correlation between median income and remote work (R-2 = 0 2460,p-value < 0 001) Research limitations/implications Governments need to account for SES in policymaking to reduce inequalities in health Originality/value The paper aims to improve the understanding of social stratification and morbidity through examining data on the COVID-19 pandemic

中文翻译：

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社会分层对COVID-19大流行期间发病率的影响

目的众所周知，社会经济地位（SES）与社会生活的许多方面（例如健康）相关。我们认为，随着全球各国鼓励或实施社会疏远和远程工作措施，社会分层仍对了解大流行期间的健康差异具有重要意义。设计/方法/方法通过检查有关COVID-19大流行的数据源和新闻报道，我们旨在通过采取社会疏远措施和远程工作的能力，强调SES与发病率之间的关系，利用来自马里兰州运输研究所的公开数据和美国人口普查，我们对收入中位数进行了线性回归，社会疏离指数和在家工作的个人所占比例调查结果具有较高SES的个人更有可能从事提供远程工作机会的工作，这有助于社会疏远。相比较而言，具有较低SES的个人更有可能参与工作线性回归模型表明，中位数收入与社会距离指数之间存在正中度和显着正相关（R-2 = 0 4981，p值<0 001），而中位数收入与社会距离之间存在正弱相关和显着正相关远程工作（R-2 = 0 2460，p值<0 001）研究局限性/含义政府需要在决策中考虑SES，以减少健康方面的不平等原创性/价值本文旨在通过研究COVID-19大流行的数据来增进对社会分层和发病率的理解