4.7 Article

County-level socio-economic disparities in COVID-19 mortality in the USA

期刊

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
卷 51, 期 2, 页码 418-428

出版社

OXFORD UNIV PRESS
DOI: 10.1093/ije/dyab267

关键词

Mortality; COVID-19; age-standardized death rates; years of life lost; the USA

资金

  1. National Institutes of Health via the University of California, Berkeley Center for the Economics and Demography of Aging [P30AG012839]
  2. National Institute on Aging [R03AG058110]
  3. Society of Actuaries

向作者/读者索取更多资源

A study found a link between socio-economic characteristics and COVID-19 mortality rates in US counties. The study revealed that during the pandemic waves in 2020, COVID-19 mortality rates were higher in socio-economically advantaged counties, but reversed and widened by September-December, with higher rates in socio-economically disadvantaged counties. The study suggests that addressing socio-economic disparities can reduce the inequities in COVID-19 mortality burden.
Background Preliminary studies have suggested a link between socio-economic characteristics and COVID-19 mortality. Such studies have been carried out on particular geographies within the USA or selective data that do not represent the complete experience for 2020. Methods We estimated COVID-19 mortality rates, number of years of life lost to SARS-CoV-2 and reduction in life expectancy during each of the three pandemic waves in 2020 for 3144 US counties grouped into five socio-economic status categories, using daily death data from the Johns Hopkins University of Medicine and weekly mortality age structure from the Centers for Disease Control. Results During March-May 2020, COVID-19 mortality was highest in the most socio-economically advantaged quintile of counties and lowest in the two most-disadvantaged quintiles. The pattern reversed during June-August and widened by September-December, such that COVID-19 mortality rates were 2.58 times higher in the bottom than in the top quintile of counties. Differences in the number of years of life lost followed a similar pattern, ultimately resulting in 1.002 (1.000, 1.004) million years in the middle quintile to 1.381 (1.378, 1.384) million years of life lost in the first (most-disadvantaged) quintile during the whole year. Conclusions Diverging trajectories of COVID-19 mortality among the poor and affluent counties indicated a progressively higher rate of loss of life among socio-economically disadvantaged communities. Accounting for socio-economic disparities when allocating resources to control the spread of the infection and to reinforce local public health infrastructure would reduce inequities in the mortality burden of the disease.

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