Early detection of SARS-CoV-2 infection cases or outbreaks at nursing homes by targeted wastewater tracking

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.01.21.21249640: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Ethical approval for this study was waived by the Hospital Clínico Universitario INCLIVA Ethics Committee because RT-PCR testing either for diagnosis purposes or surveillance of both nursing home residents and staff are usual practices at health Department Clínico-Malvarrosa, Valencia, Spain.
    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:
    The main limitation of the current study is the relatively limited number of NH recruited for the study. In conclusion, this pilot study proved that intermittent or persistent detection of SARS-CoV-2 RNA in NH sewage drains often anticipates declaration of individual cases or outbreaks. Frequent SARS-CoV-2 RT-qPCR sewage testing coupled with targeted screening of residents and staff may prove useful for early blunting of virus transmission and spread at NH. Further studies with a larger site sample are warranted to confirm this assumption.

    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.