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Racial, Economic and Health Inequality and COVID-19 Infection in the United States. | LitMetric

AI Article Synopsis

  • There are significant racial and socioeconomic disparities in COVID-19 infection and mortality rates in the U.S., with African Americans being disproportionately affected.
  • A study analyzed data from 369 counties in seven states, revealing that higher infection rates were linked to diverse demographics and greater education and income levels, while higher death rates were associated with higher poverty and disability rates.
  • The findings suggest that urban areas may be better equipped for healthcare access, and the observed inequalities may stem from factors like essential service employment, poverty, and variations in mobility during the pandemic.

Article Abstract

Background: There is preliminary evidence of racial and social-economic disparities in the population infected by and dying from COVID-19. The goal of this study is to report the associations of COVID-19 with respect to race, health and economic inequality in the United States.

Methods: We performed a cross-sectional study of the associations between infection and mortality rate of COVID-19 and demographic, socioeconomic and mobility variables from 369 counties (total population: 102,178,117 [median: 73,447, IQR: 30,761-256,098]) from the seven most affected states (Michigan, New York, New Jersey, Pennsylvania, California, Louisiana, Massachusetts).

Findings: The risk factors for infection and mortality are different. Our analysis shows that counties with more diverse demographics, higher population, education, income levels, and lower disability rates were at a higher risk of COVID-19 infection. However, counties with higher disability and poverty rates had a higher death rate. African Americans were more vulnerable to COVID-19 than other ethnic groups (1,981 African American infected cases versus 658 Whites per million). Data on mobility changes corroborate the impact of social distancing.

Interpretation: The observed inequality might be due to the workforce of essential services, poverty, and access to care. Counties in more urban areas are probably better equipped at providing care. The lower rate of infection, but a higher death rate in counties with higher poverty and disability could be due to lower levels of mobility, but a higher rate of comorbidities and health care access.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277003PMC
http://dx.doi.org/10.1101/2020.04.26.20079756DOI Listing

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