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Socioeconomic inequalities in the risk of SARS-CoV-2 infection – First results from an analysis of surveillance data from Germany
Experiences with acute respiratory diseases which caused virus epidemics in the past and initial findings in the research literature on the current COVID-19 pandemic suggest a higher SARS-CoV-2 infection risk for socioeconomically disadvantaged populations. Nevertheless, further research on such a p...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Robert Koch Institute
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734178/ https://www.ncbi.nlm.nih.gov/pubmed/35146299 http://dx.doi.org/10.25646/7057 |
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author | Wachtler, Benjamin Michalski, Niels Nowossadeck, Enno Diercke, Michaela Wahrendorf, Morten Santos-Hövener, Claudia Lampert, Thomas Hoebel, Jens |
author_facet | Wachtler, Benjamin Michalski, Niels Nowossadeck, Enno Diercke, Michaela Wahrendorf, Morten Santos-Hövener, Claudia Lampert, Thomas Hoebel, Jens |
author_sort | Wachtler, Benjamin |
collection | PubMed |
description | Experiences with acute respiratory diseases which caused virus epidemics in the past and initial findings in the research literature on the current COVID-19 pandemic suggest a higher SARS-CoV-2 infection risk for socioeconomically disadvantaged populations. Nevertheless, further research on such a potential association between socioeconomic status and SARS-CoV-2 incidence in Germany is required. This article reports on the results of a first Germany-wide analysis of COVID-19 surveillance data to which an area-level index of socioeconomic deprivation was linked. The analysis included 186,839 laboratory-confirmed COVID-19 cases, the data of which was transferred to the Robert Koch Institute by 16 June 2020, 00:00. During the early stage of the epidemic up to mid-April, the data show a socioeconomic gradient with higher incidence in less deprived regions of Germany. Over the course of the epidemic, however, this gradient becomes less measurable and finally reverses in south Germany, the region hardest hit by the epidemic, to the greater detriment of the more deprived regions. These results highlight the need to continue monitoring social epidemiological patterns in COVID-19 and analysing the underlying causes to detect dynamics and trends early on and countering a potential exacerbation of health inequalities. |
format | Online Article Text |
id | pubmed-8734178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Robert Koch Institute |
record_format | MEDLINE/PubMed |
spelling | pubmed-87341782022-02-09 Socioeconomic inequalities in the risk of SARS-CoV-2 infection – First results from an analysis of surveillance data from Germany Wachtler, Benjamin Michalski, Niels Nowossadeck, Enno Diercke, Michaela Wahrendorf, Morten Santos-Hövener, Claudia Lampert, Thomas Hoebel, Jens J Health Monit Focus Experiences with acute respiratory diseases which caused virus epidemics in the past and initial findings in the research literature on the current COVID-19 pandemic suggest a higher SARS-CoV-2 infection risk for socioeconomically disadvantaged populations. Nevertheless, further research on such a potential association between socioeconomic status and SARS-CoV-2 incidence in Germany is required. This article reports on the results of a first Germany-wide analysis of COVID-19 surveillance data to which an area-level index of socioeconomic deprivation was linked. The analysis included 186,839 laboratory-confirmed COVID-19 cases, the data of which was transferred to the Robert Koch Institute by 16 June 2020, 00:00. During the early stage of the epidemic up to mid-April, the data show a socioeconomic gradient with higher incidence in less deprived regions of Germany. Over the course of the epidemic, however, this gradient becomes less measurable and finally reverses in south Germany, the region hardest hit by the epidemic, to the greater detriment of the more deprived regions. These results highlight the need to continue monitoring social epidemiological patterns in COVID-19 and analysing the underlying causes to detect dynamics and trends early on and countering a potential exacerbation of health inequalities. Robert Koch Institute 2020-10-09 /pmc/articles/PMC8734178/ /pubmed/35146299 http://dx.doi.org/10.25646/7057 Text en © Robert Koch Institute. All rights reserved unless explicitly granted. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Focus Wachtler, Benjamin Michalski, Niels Nowossadeck, Enno Diercke, Michaela Wahrendorf, Morten Santos-Hövener, Claudia Lampert, Thomas Hoebel, Jens Socioeconomic inequalities in the risk of SARS-CoV-2 infection – First results from an analysis of surveillance data from Germany |
title | Socioeconomic inequalities in the risk of SARS-CoV-2 infection – First results from an analysis of surveillance data from Germany |
title_full | Socioeconomic inequalities in the risk of SARS-CoV-2 infection – First results from an analysis of surveillance data from Germany |
title_fullStr | Socioeconomic inequalities in the risk of SARS-CoV-2 infection – First results from an analysis of surveillance data from Germany |
title_full_unstemmed | Socioeconomic inequalities in the risk of SARS-CoV-2 infection – First results from an analysis of surveillance data from Germany |
title_short | Socioeconomic inequalities in the risk of SARS-CoV-2 infection – First results from an analysis of surveillance data from Germany |
title_sort | socioeconomic inequalities in the risk of sars-cov-2 infection – first results from an analysis of surveillance data from germany |
topic | Focus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734178/ https://www.ncbi.nlm.nih.gov/pubmed/35146299 http://dx.doi.org/10.25646/7057 |
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