Analysis of Covid-19 and non-Covid-19 viruses, including influenza viruses, to determine the influence of intensive preventive measures in Japan

  1. Yosuke Hirotsu
  2. Makoto Maejima
  3. Masahiro Shibusawa
  4. Kenji Amemiya
  5. Yuki Nagakubo
  6. Kazuhiro Hosaka
  7. Hitomi Sueki
  8. Hitoshi Mochizuki
  9. Toshiharu Tsutsui
  10. Yumiko Kakizaki
  11. Yoshihiro Miyashita
  12. Masao Omata

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Abstract

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  1. ScreenIT

    SciScore for 10.1101/2020.05.21.20105106: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The Institutional Review Board at Yamanashi Central Hospital (YCH) approved this study and the use of an opt-out consent method.
    Consent: The requirement for written informed consent was waived.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot 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:
    Although prospective and updated, the limitation was that this single institution study was conducted in our district. Our national registry indicated marked reduction of influenza virus infection not in beginning, but in the latter time of this winter which coincided with our study. Further studies will be necessary to verify whether the lower infection prevalence of influenza transmission by social preventive measures. We learned a lesson that by taking the stringent measure we may prevent influenza viruses which have had bigger impact on human life for long.

    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.

  2. Version published to 10.1016/j.jcv.2020.104543
  3. Version published to 10.1101/2020.05.21.20105106 on medRxiv