A population-based cohort study of socio-demographic risk factors for COVID-19 deaths in Sweden
Sven Drefahl (),
Matthew Wallace,
Eleonora Mussino,
Siddartha Aradhya,
Martin Kolk,
Maria Brandén,
Bo Malmberg and
Gunnar Andersson
Additional contact information
Sven Drefahl: Stockholm University
Matthew Wallace: Stockholm University
Eleonora Mussino: Stockholm University
Siddartha Aradhya: Stockholm University
Martin Kolk: Stockholm University
Maria Brandén: Stockholm University
Bo Malmberg: Stockholm University
Gunnar Andersson: Stockholm University
Nature Communications, 2020, vol. 11, issue 1, 1-7
Abstract:
Abstract As global deaths from COVID-19 continue to rise, the world’s governments, institutions, and agencies are still working toward an understanding of who is most at risk of death. In this study, data on all recorded COVID-19 deaths in Sweden up to May 7, 2020 are linked to high-quality and accurate individual-level background data from administrative registers of the total population. By means of individual-level survival analysis we demonstrate that being male, having less individual income, lower education, not being married all independently predict a higher risk of death from COVID-19 and from all other causes of death. Being an immigrant from a low- or middle-income country predicts higher risk of death from COVID-19 but not for all other causes of death. The main message of this work is that the interaction of the virus causing COVID-19 and its social environment exerts an unequal burden on the most disadvantaged members of society.
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (29)
Downloads: (external link)
https://www.nature.com/articles/s41467-020-18926-3 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18926-3
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-020-18926-3
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().