Heterogeneity in SARS-CoV-2 Positivity by Ethnicity in Los Angeles

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.05.10.21256955: (What is this?)

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

    Table 1: Rigor

    EthicsField Sample Permit: Specimens were collected via oral swabs and processed as has been previously reported (12).
    IRB: The Mass General Brigham institutional review board deemed the analysis of de- identified data did not constitute human subjects’ research (2020P003530).
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    No key resources detected.


    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:
    However, given the diversity within Los Angeles (mirrored partially among our sample), and the fact that Los Angeles in particular is an important case study of the ongoing socioeconomic disparities surrounding the SARS-CoV-2 pandemic, we do not feel that limitation reduces the importance of our results. Our study is additionally limited in that we were unable to adjust our analysis based on socioeconomic status, and thus our results may be confounded, thus further research is warranted.

    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.


    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.