Abstract
AbstractAs 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.
Funder
Forskningsrådet om Hälsa, Arbetsliv och Välfärd
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry
Reference24 articles.
1. Roser, M., Ritchie, H., Ortiz-Ospina, E. & Hasell, J. Coronavirus (COVID-19) deaths - statistics and research. Our World in Data https://ourworldindata.org/covid-deaths (2020).
2. Jin, J.-M. et al. Gender differences in patients with COVID-19: focus on severity and mortality. Front Public Health 8, 152 (2020).
3. Onder, G., Rezza, G. & Brusaferro, S. Case-fatality rate and characteristics of patients dying in relation to COVID-19 in Italy. JAMA 323, 1775–1776 (2020).
4. de Lusignan, S. et al. Risk factors for SARS-CoV-2 among patients in the Oxford Royal College of General Practitioners Research and Surveillance Centre primary care network: a cross-sectional study. Lancet Infect. Dis. 20, 1034–1042 (2020).
5. Lippi, G., Mattiuzzi, C., Sanchis-Gomar, F. & Henry, B. M. Clinical and demographic characteristics of patients dying from COVID-19 in Italy vs China. J. Med. Virol. 92, 1759–1760 (2020).
Cited by
258 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献