State of emergency and human mobility during the COVID-19 pandemic in Japan

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

No abstract available

Article activity feed

  1. SciScore for 10.1101/2021.06.16.21259061: (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

    Software and Algorithms
    SentencesResources
    Data: (1) Human mobility: To track one of the indicators affecting COVID-19 transmissibility, a human mobility index published by Google (hereafter, mobility index) was utilised12.
    Google
    suggested: (Google, RRID:SCR_017097)
    All analyses were conducted by the Stata software version 16.1
    Stata
    suggested: (Stata, RRID:SCR_012763)
    1 (StataCorp LLC, College Station, USA).
    StataCorp
    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:
    Despite the significant findings of this study, there are still some limitations that should be considered. First, the Google mobility index used in the study is limited since it does not count an absolute amount of human mobility. Although the mobility index was de-trended in this study, relative changes from the baseline given narrow time range may be inappropriate, making interpretation difficult. Also, the Google mobility index does not include information on smaller units of regions (e.g. city-level), time (e.g. daytime and night), and comparisons by sex and age. Second, the generalisability of the findings should be carefully considered. As the government responses to the pandemic could reflect cultural and institutional differences,17, 18 the findings from this study may not be applicable in other countries. Nevertheless, implications from this study should be helpful in highlighting the limitations of less stringent, repeated, and prolonged public health interventions. In conclusion, while less stringent government responses to the pandemic are effective in promoting social distancing by controlling human mobilities outside the home, their effectiveness may decrease if similar interventions are repeated for extended periods of time. However, by combining these with other measures such as risk-communication strategies, even less costly interventions such as mild containment and closure policies can be effective in curbing the spread of the COVID-19 virus.

    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.