Community Medicine Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
J Epidemiol Glob Health. 2022 Dec;12(4):449-455. doi: 10.1007/s44197-022-00063-3. Epub 2022 Sep 20.
As the pandemic unfolds, major concerns remain with those in disadvantaged positions who may be disproportionately affected. This paper aimed to present the characteristics of COVID-19 immigrant patients and investigate whether they were disproportionately affected by COVID-19 pandemic.
A cross-sectional study was performed using data on 589,146 patients diagnosed with COVID-19 in Iran. Descriptive analyses were used to summarize the study population's characteristics. Chi-squared test and logistic regression model were applied.
After accounting for possible confounding covariates, being an immigrant was significantly associated with increased risk of death due to COVID-19 (OR 1.64, CI 1.568-1.727). When compared to Iranian-born patients, the prevalence of low blood oxygen levels on admission was higher among immigrant patients (53.9% versus 47.7%, P value < 0.001). Moreover, greater proportions of immigrants who were diagnosed with COVID-19 were admitted to an ICU (17% versus 15.8%, P value < 0.001). Patients aged 65 and above were the largest age category in both populations. However, there was a significant difference between the age profiles of patients, with children under the age of eighteen presenting 16% of immigrant patients vs 6.6% of Iranian-born patients (P value < 0.001). In both groups, more men were affected by COVID-19 than women, yet the sex bias was more prominent for migrant patients (P value < 0.001).
The evidence from this study revealed that immigrant patients infected with COVID-19 were more likely to suffer from severe health outcome of the disease compared to Iranian-born patients.
随着疫情的发展，人们主要关注那些可能受到不成比例影响的弱势群体。本文旨在介绍 COVID-19 移民患者的特征，并研究他们是否受到 COVID-19 大流行的不成比例影响。
使用伊朗 589146 例 COVID-19 确诊患者的数据进行横断面研究。采用描述性分析总结研究人群的特征。采用卡方检验和逻辑回归模型进行分析。
在考虑了可能的混杂因素后，移民身份与 COVID-19 死亡风险增加显著相关（OR 1.64，CI 1.568-1.727）。与伊朗出生的患者相比，移民患者入院时低血氧水平的患病率更高（53.9%比 47.7%，P 值<0.001）。此外，更多的移民患者被诊断为 COVID-19 后被收入重症监护病房（17%比 15.8%，P 值<0.001）。65 岁及以上的患者是两个群体中最大的年龄组。然而，两组患者的年龄分布存在显著差异，16%的移民患者为 18 岁以下儿童，而伊朗出生患者为 6.6%（P 值<0.001）。在两组中，COVID-19 感染的男性多于女性，但移民患者的性别差异更为明显（P 值<0.001）。
本研究结果表明，与伊朗出生的患者相比，感染 COVID-19 的移民患者更有可能出现严重的疾病后果。
