Association of Homelessness with COVID-19 Positivity among Individuals Visiting a Testing Centre: A Cross-Sectional Study

  1. Tara Kiran
  2. Amy Craig-Neil
  3. Paul Das
  4. Joel Lockwood
  5. Ri Wang
  6. Nikki Nathanielsz
  7. Esther Rosenthal
  8. Stephen Hwang

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Abstract

No abstract available

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  1. Version published to 10.12927/hcpol.2022.26730
  2. ScreenIT

    SciScore for 10.1101/2021.01.04.20248661: (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

    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:
    A limitation of this study is that it reflects testing at a single centre early in the pandemic when testing was largely limited to those living or working in high-risk settings. The City of Toronto has since moved more than 3500 individuals experiencing homelessness into spaces that allow for physical distancing.6 Research is needed to understand whether these efforts have lowered the rates of COVID-19 infection among people who are unhoused. Our results confirm that people experiencing homelessness are at high-risk of COVID-19 and that targeted efforts are needed to reduce transmission rates.

    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.

    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 10.1101/2021.01.04.20248661 on medRxiv