Racial and ethnic disparities in the observed COVID-19 case fatality rate among the U.S. population

  1. L. Philip Schumm
  2. Mihai C. Giurcanu
  3. Kenneth J. Locey
  4. Jean Czerlinski Ortega
  5. Zhenyu Zhang
  6. Robert L. Grossman

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Abstract

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  1. Version published to 10.1016/j.annepidem.2022.07.010
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    SciScore for 10.1101/2022.03.01.22271708: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All analyses were performed using Stata version 17.0, Python, pandas and geopandas (for data management) and Altair (for plotting).
    Python
    suggested: (IPython, RRID:SCR_001658)

    Results from OddPub: Thank you for sharing your code and data.

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Despite these limitations, analysis of this dataset correctly revealed the improvements in COVID-19 survival over the first 6–8 months of the pandemic as well as the established lower risk of death for women relative to men.24–26 While the overall CFR ratios comparing minorities to Whites were smaller than for the CTP dataset, the basic conclusion is the same. Finally, though we found evidence of racial/ethnic disparities in CFR among those under age 65, our study was also intended to highlight the limitations in data available on race/ethnicity of COVID-19 cases and deaths at the national level. Specifically, using information on the joint distribution of race/ethnicity and age (as available in the CDC dataset only) reveals an entirely different understanding than when not using it. Chowkwanyun and Reed argue convincingly that while identifying racial/ethnic disparities in COVID-19 is important, a lack of context as provided by richer data “can perpetuate harmful myths and misunderstandings that actually undermine the goal of eliminating health inequities.”27 Acquiring such data from representative samples of the national population is sorely needed.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.

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  3. Version published to 10.1101/2022.03.01.22271708 on medRxiv