SARS-CoV-2 infections in migrant populations in Germany: results from the COVID-19 snapshot monitoring survey

Abstract

Objectives: Research shows that there is an increased risk of SARS-CoV-2 infection in migrants and ethnic minorities. However, increasing evidence indicates that socio-economic factors, such as employment, education and income, contribute to the association between migrant status and SARS-CoV-2 infection. This study aimed to examine the association between migrant status and the risk of SARS-CoV-2 infection in Germany and to discuss potential explanations for these associations. Study design: This was a cross-sectional study. Methods: Data from the German COVID-19 Snapshot Monitoring online survey were analysed, and hierarchical multiple linear regression models were used to calculate the probabilities of self-reported SARS-CoV-2 infection. Predictor variables were integrated in a stepwise method as follows: (1) migrant status (defined by own or parental country of birth other than Germany); (2) gender, age and education; (3) household size; (4) household language; and (5) occupation in the health sector, including an interaction term of migrant status (yes) and occupation in the health sector (yes). Results: Of 45,858 participants, 3.5% reported a SARS-CoV-2 infection, and 16% were migrants. Migrants, participants in large households, those speaking a language other than German in their household and those working in the health sector were more likely to report SARS-CoV-2 infection. The probability of reporting SARS-CoV-2 infection was 3.95 percentage points higher for migrants than non-migrants; this probability decreased when integrating further predictor variables. The strongest association of reporting a SARS-CoV-2 infection was observed for migrants working in the health sector. Conclusions: Migrants and health sector employees, and especially migrant health workers, are at an increased risk of SARS-CoV-2 infection. The results show that the risk of SARS-CoV-2 infection is determined by living and working conditions rather than migrant status.