1. Migrant Health and COVID-19 Pandemic: A Cross-sectional Study of Characteristics, Clinical Features, and Health Outcome from Iran
- Author
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Mohammad-Reza Sohrabi, Rozhin Amin, Ali Maher, Shahriar Janbazi, and Ali-Reza Zali
- Subjects
Male ,Transients and Migrants ,Cross-Sectional Studies ,Outcome Assessment, Health Care ,Humans ,COVID-19 ,Female ,Iran ,Child ,Pandemics - Abstract
Background 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. Methods 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. Results 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 P value P value P value Conclusion 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.
- Published
- 2022
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