Case-Control Study of Use of Personal Protective Measures and Risk for SARS-CoV 2 Infection, Thailand

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Abstract

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  1. SciScore for 10.1101/2020.06.11.20128900: (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

    Software and Algorithms
    SentencesResources
    STATA version 14.2 and R version 4.0.0 were used for all analyses.
    STATA
    suggested: (Stata, RRID:SCR_012763)

    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:
    Our study has several limitations. First, our findings might not be generalizable to all settings, since they were based on contacts related to three major COVID-19 clusters in Thailand during March 2020. Second, estimated ORs were conditioned on occurrence of the reported contact with index patients. Our study did not evaluate or consider the probability of having contact with other infected people in the community setting, which must have occurred. Third, since only 89% of controls were tested at least once, those not tested could have been infected, and therefore, cases with mild or no symptoms who did not report symptoms or seek care and testing could have been missed. Fourth, it is impossible to identify every potential contact an individual has and some individuals may have had contact with >1 COVID-19 patient. Hence, our estimated secondary attack rates among contacts with high-risk exposure could be over- or underestimated. Fifth, findings were subject to common biases of retrospective case-control studies, including memory bias, observer bias, and information bias (43). To reduce potential biases, we used structured interviews where each participant was asked the same set of defined questions. As social distancing measures are being relaxed in many countries, our findings provide evidence supporting consistent mask-wearing, handwashing, and adhering to social distancing recommendations can reduce COVID-19 transmission in public gathering places. Wearing non-medical m...

    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.
    • Thank you for including a protocol registration statement.

    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.