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SARS-CoV-2 infections in migrant populations in Germany: results from the COVID-19 snapshot monitoring survey.
Koschollek, Carmen; Kajikhina, Katja; El Bcheraoui, Charbel; Wieler, Lothar H; Michalski, Niels; Hövener, Claudia.
  • Koschollek C; Robert Koch Institute, Department for Epidemiology and Health Monitoring, Unit for Social Determinants of Health, Berlin, Germany. Electronic address: KoschollekC@rki.de.
  • Kajikhina K; Robert Koch Institute, Department for Epidemiology and Health Monitoring, Unit for Social Determinants of Health, Berlin, Germany; Robert Koch Institute, Department for Infectious Disease Epidemiology, Unit for Crisis Management, Outbreak Investigations and Training Programs, Berlin, Germany.
  • El Bcheraoui C; Robert Koch Institute, Centre for International Health Protection, Evidence-based Public Health Unit, Berlin, Germany.
  • Wieler LH; Robert Koch Institute, Methodology and Research Infrastructure, Berlin, Germany.
  • Michalski N; Robert Koch Institute, Department for Epidemiology and Health Monitoring, Unit for Social Determinants of Health, Berlin, Germany.
  • Hövener C; Robert Koch Institute, Department for Epidemiology and Health Monitoring, Unit for Social Determinants of Health, Berlin, Germany.
Public Health ; 219: 35-38, 2023 Jun.
Artículo en Inglés | MEDLINE | ID: covidwho-2298133
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.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Migrantes / COVID-19 Tipo de estudio: Estudio observacional / Estudio pronóstico / Ensayo controlado aleatorizado Límite: Humanos País/Región como asunto: Europa Idioma: Inglés Revista: Public Health Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Migrantes / COVID-19 Tipo de estudio: Estudio observacional / Estudio pronóstico / Ensayo controlado aleatorizado Límite: Humanos País/Región como asunto: Europa Idioma: Inglés Revista: Public Health Año: 2023 Tipo del documento: Artículo