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. Better understanding of who is at highest risk of death from COVID-19 is important for public health planning. Here, the authors demonstrate an unequal mortality burden associated with socially disadvantaged groups in Sweden.
【저자키워드】 Risk factors, Infectious diseases, Social sciences, Sociology, 【초록키워드】 COVID-19, public health, Mortality, virus, survival, male, death, group, predict, Interaction, Analysis, risk of death, higher risk, social environment, total population, agency, being, country, highest, less, cause, Better, recorded, 【제목키워드】 COVID-19, risk factor, death, population-based cohort, socio-demographic,