Screening and vaccination against COVID-19 to minimise school closure: a modelling study

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Abstract

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  1. SciScore for 10.1101/2021.08.15.21261243: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    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:
    This study has a set of limitations. First, it focuses on two school settings for which empirical contact data were available, but contacts in other schools may be different, depending on the structure of curricula and the organization of activities. While precise estimates reported here remain specific to the schools under study, findings on the efficiency of self-testing and vaccination are robust across a range of epidemic conditions and synthetic contact patterns, and can thus inform on the choice of strategies to safely keep schools open. Second, we considered only contacts occurring within the school premises during school hours, but we did not consider socializing activities outside the school, for example at the exit. These contacts may further increase viral circulation in the student population, making vaccination and regular testing at school even more important. Third, the study focuses on school outbreaks and it does not assess the impact that these strategies will have on the viral circulation in the community. In the fall, COVID-19 epidemic will likely continue to pose a risk to the safe opening of schools. Regular testing remains a key strategy to epidemic control in primary schools, and an important additional support in secondary schools with low or moderate vaccination coverage, all the while minimizing days lost.

    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.