Association between overcrowded households, multigenerational households, and COVID-19: a cohort study

  1. A.K. Ghosh
  2. S. Venkatraman
  3. O. Soroka
  4. E. Reshetnyak
  5. M. Rajan
  6. A. An
  7. J.K. Chae
  8. C. Gonzalez
  9. J. Prince
  10. C. DiMaggio
  11. S. Ibrahim
  12. M.M. Safford
  13. N. Hupert

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Abstract

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  1. Version published to 10.1016/j.puhe.2021.07.039
  2. ScreenIT

    SciScore for 10.1101/2021.06.14.21258904: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: The study protocol was approved by the [withheld for review] Institutional Review Board.
    Sex as a biological variablenot detected.
    RandomizationWe used Moran’s I17 to formally assess spatial clustering of suspected severe COVID-19 cases, for which the null hypothesis is that suspected COVID-19 cases were randomly dispersed across the city.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All analyses were conducted in GeoDa version 1.16, QGIS version 3.16.2 and R version 4.0.3.
    GeoDa
    suggested: (GeoDa, RRID:SCR_018559)

    Results from OddPub: Thank you for sharing your code.

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    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.

  3. Version published to 10.1101/2021.06.14.21258904v1 on medRxiv