Model-based evaluation of policy impacts and the continued COVID-19 risk at long term care facilities

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.07.06.21259931: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    No key resources detected.


    Results from OddPub: Thank you for sharing your data.


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Limitations: The results of the LTCF-ABM should be considered along with model limitations. We have tried to use realistic parameters when estimates are available from the literature. However, some parameters are not well studied. We assume a contact structure between staff and residents that is static over the simulation. This may not be true if staff limit their contact with each other and residents in the event of an outbreak. Researches have also documented increased risk to facilities whose staff work at other facilties.23 This additional risk is not explicitly modeled here but could be captured by assuming a higher community prevalence quantifying the risk of outside infection to staff. The testing protocol is determined at the beginning of the simulation and does not change. Facilities that detect a positive case may engage in investigation and more rigorous testing procedures to mitigate the further spread of the virus. However, one important result from our analysis is that when community transmission is present, there is a continual risk that a staff member reintroduces the virus.

    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.