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  1. SciScore for 10.1101/2022.05.12.22274931: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: This research protocol was approved by the Research Ethics Committee of the Graduate School of Life Science, Osaka City University (No. 21-58).
    Sex as a biological variablenot detected.
    RandomizationA bootstrap sample is a random sample of observations drawn with replacement.
    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:
    Air pollution was reduced by the human mobility limitation [34]. If governments simply reactivate human mobility, carbon dioxide emissions may increase due to car traffic [35]. Therefore, the government needs to conduct a mix of several policies, such as working from home, online shopping, and active use of public transportation. Those policies could contribute to improving the urban sustainability for the post COVID-19 pandemic. The limitation of this study was that it was able to analyze only six types of human mobility available on Google Community Mobility Reports. Therefore, we cannot deny the possibility that the control of human mobility proposed by this study might cause an increase in another type of human mobility and a gradual increase in the number of infections. For example, would it truly be effective to restrict mainly dining and drinking establishments? To address this limitation, future research should research more diverse types of human mobility using GPS location history data. These GPS log data can be obtained at regular intervals from mobile phones with users’ consent. Using such data, we can clarify the relationship with the number of infections in more detail.

    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.

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