Healthcare workers’ SARS-CoV-2 infection rates during the second wave of the pandemic: follow-up study

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Abstract

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  1. SciScore for 10.1101/2021.11.17.21266459: (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: 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:
    Strengths and limitations: Major strengths are the prospective cohort design with day-by-day information that allowed precise account for incubation period and day-by-day change in exposure, the complete follow-up for PCR test results, and information on incident loss of taste and smell that is a signature of SARS-CoV-2 infection.14,16 Other strengths are the free access to PCR testing that required no symptoms and the high testing rate of 7.1% per day. The decision to be PCR tested was therefore unlikely to be strongly associated with COVID-19 contact and result of the PCR test, and we regard collider bias a minor problem.17 Participants were tested 29% more often, participated more often December to February, when population infection rate was high, and showed an 8% higher infection rate than the invited population. Otherwise, participants were comparable with the invited target population and this neither suggest strong collider bias.17 Participants with one COVID-19 contact form more often experienced the other COVID-19 contact forms and the mutually adjusted IRR estimates were substantially reduced and are expected to provide the best estimates of the separate effects. Participants with close contact with co-workers and persons outside work with COVID-19 had been PCR tested for SARS-CoV-2 infection more often than those with no such contact, but this should not have biased the current findings. COVID-19 contact information was partly obtained after the results of the PCR...

    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.