COVID-19 mortality in California based on death certificates: disproportionate impacts across racial/ethnic groups and nativity

  1. Erika Garcia
  2. Sandrah P. Eckel
  3. Zhanghua Chen
  4. Kenan Li
  5. Frank D. Gilliland

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Abstract

No abstract available

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  1. Version published to 10.1016/j.annepidem.2021.03.006
  2. ScreenIT

    SciScore for 10.1101/2021.03.01.21252678: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Experimental Models: Organisms/Strains
    SentencesResources
    Non-Hispanic White was used as the referent group.
    Non-Hispanic White
    suggested: None
    Software and Algorithms
    SentencesResources
    All analyses were performed using SAS statistical software version 9.4 (SAS Institute Inc., Cary, NC) and statistical tests were based on 2-sided tests with α=0.05.
    SAS statistical
    suggested: None
    SAS Institute
    suggested: (Statistical Analysis System, RRID:SCR_008567)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    This study also has limitations. First, while use of death certificate data has many advantages, there are a limited number of available demographic and few socioeconomic variables. Augmentation of these data with neighborhood characteristics based on decedent residential address is an area of future work. Second, PM, and thus PMR, uses as a comparison all-cause mortality, which if different between groups may over or underestimate differences in mortality between groups. When all-cause mortality rates are lower compared with the referent group, PMR will overestimate differences in COVID-19 mortality but as discussed differences in all-cause mortality rates were not sufficient to explain away all observed COVID-19 disparities. When all-cause mortality rates are higher, however, such as was observed for Black individuals the PMR will underestimate differences COVID-19 mortality.

    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.
    • Thank you for including a protocol registration statement.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2021.03.01.21252678v1 on medRxiv