Estimation of true number of COVID-19 infected people in Japan using LINE questionnaire

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Abstract

The authors estimated the true number of COVID-19 infected people in Japan using the LINE questionnaire data and the PCR test results. A statistically significant correlation was observed between the infection rate per prefecture with PCR test and the rate of high fever. Using this correlation, true number of COVID-19 infected people in Japan was estimated approximately twenty thousand (±ten thousand) as of April 1, 2020.

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  1. SciScore for 10.1101/2020.04.15.20066100: (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
    Anaconda Python 3.77 was employed to acquire data from the Internet, analyze and draw graphics.
    Python
    suggested: (IPython, RRID:SCR_001658)

    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:
    As the limitation to the current method, the regression coefficient is not more than around 0.6; while the existence of correlation and the appropriateness of the method could be proved, it could not give a very precise estimation. Although the authors did not perform the detailed evaluation in terms of the accuracy of the methodology, the estimated value of twenty thousand includes the statistical error of approximately ten thousand. Despite this level of exactitude, this is the first ever paper which successfully determined the true number of the infected nationwide in Japan, the medical/social significance of this evaluation remains huge. A further investigation using the more accumulated statistical data and the continuous revision of this analysis would enhance the accuracy of this estimation method to a large extent, which will serve to determine the national/regional policy against this evolving enemy to the mankind.

    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.

    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.