Selected article for: "case fatality rate and public health"

Author: Hawkins, Robert B.; Charles, Eric J.; Mehaffey, J. Hunter
Title: Socioeconomic Status and Coronavirus Disease 2019 (COVID-19) Related Cases and Fatalities
  • Cord-id: 0110umgp
  • Document date: 2020_10_17
  • ID: 0110umgp
    Snippet: Objectives The United States has the highest number of Coronavirus Disease 2019 (COVID-19) in the world, with high variability in cases and mortality between communities. We aimed to quantify the associations between socioeconomic status and Coronavirus Disease 2019 (COVID-19) related cases and mortality in the U.S. Study Design: Nationwide COVID-19 data at the county level that was paired with the Distressed Communities Index (DCI) and its component metrics of socioeconomic status. Methods Seve
    Document: Objectives The United States has the highest number of Coronavirus Disease 2019 (COVID-19) in the world, with high variability in cases and mortality between communities. We aimed to quantify the associations between socioeconomic status and Coronavirus Disease 2019 (COVID-19) related cases and mortality in the U.S. Study Design: Nationwide COVID-19 data at the county level that was paired with the Distressed Communities Index (DCI) and its component metrics of socioeconomic status. Methods Severely distressed communities were classified by DCI>75 for univariate analyses. Adjusted rate ratios were calculated for cases and fatalities per 100,000 persons using hierarchical linear mixed models. Results This cohort included 1,089,999 cases and 62,298 deaths in 3,127 counties for a case-fatality rate of 5.7%. Severely distressed counties had significantly fewer deaths from COVID-19, but higher number of deaths/100,000. In risk-adjusted analysis, the two socioeconomic determinants of health with the strongest association with both higher cases/100,000 and higher fatalities/100,000 were percent of adults without a high school degree (cases: RR 1.10; fatalities: RR 1.08) and proportion of black residents (cases and fatalities: RR 1.03). The percentage of the population over 65 was also highly predictive for fatalities/100,000 (RR 1.07). Conclusion Lower education levels and greater percentages of black residents are strongly associated with higher rates of both COVID-19 cases and fatalities. Socioeconomic factors should be considered when implementing public health interventions in order to ameliorate the disparities in the impact of COVID-19 on distressed communities.

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