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SARS-CoV-2 infections in migrant populations in Germany: results from the COVID-19 snapshot monitoring survey
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 infe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd on behalf of The Royal Society for Public Health.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030330/ https://www.ncbi.nlm.nih.gov/pubmed/37098323 http://dx.doi.org/10.1016/j.puhe.2023.03.015 |
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author | Koschollek, Carmen Kajikhina, Katja El Bcheraoui, Charbel Wieler, Lothar H. Michalski, Niels Hövener, Claudia |
author_facet | Koschollek, Carmen Kajikhina, Katja El Bcheraoui, Charbel Wieler, Lothar H. Michalski, Niels Hövener, Claudia |
author_sort | Koschollek, Carmen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10030330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Authors. Published by Elsevier Ltd on behalf of The Royal Society for Public Health. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100303302023-03-22 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 Public Health Short Communication 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. The Authors. Published by Elsevier Ltd on behalf of The Royal Society for Public Health. 2023-06 2023-03-22 /pmc/articles/PMC10030330/ /pubmed/37098323 http://dx.doi.org/10.1016/j.puhe.2023.03.015 Text en © 2023 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Short Communication Koschollek, Carmen Kajikhina, Katja El Bcheraoui, Charbel Wieler, Lothar H. Michalski, Niels Hövener, Claudia SARS-CoV-2 infections in migrant populations in Germany: results from the COVID-19 snapshot monitoring survey |
title | SARS-CoV-2 infections in migrant populations in Germany: results from the COVID-19 snapshot monitoring survey |
title_full | SARS-CoV-2 infections in migrant populations in Germany: results from the COVID-19 snapshot monitoring survey |
title_fullStr | SARS-CoV-2 infections in migrant populations in Germany: results from the COVID-19 snapshot monitoring survey |
title_full_unstemmed | SARS-CoV-2 infections in migrant populations in Germany: results from the COVID-19 snapshot monitoring survey |
title_short | SARS-CoV-2 infections in migrant populations in Germany: results from the COVID-19 snapshot monitoring survey |
title_sort | sars-cov-2 infections in migrant populations in germany: results from the covid-19 snapshot monitoring survey |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030330/ https://www.ncbi.nlm.nih.gov/pubmed/37098323 http://dx.doi.org/10.1016/j.puhe.2023.03.015 |
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