Knowledge, attitudes, and practices toward the novel coronavirus among Bangladeshis: Implications for mitigation measures

  1. Alak Paul
  2. Dwaipayan Sikdar
  3. Mohammad Mosharraf Hossain
  4. Md Robed Amin
  5. Farah Deeba
  6. Janardan Mahanta
  7. Md. Akib Jabed
  8. Mohammad Mohaiminul Islam
  9. Sharifa Jahan Noon
  10. Tapan Kumar Nath

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Abstract

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  1. Version published to 10.1371/journal.pone.0238492
  2. ScreenIT

    SciScore for 10.1101/2020.05.05.20091181: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: They provided informed consent prior to complete the survey.
    IACUC: The ethical review committee of Dhaka Medical College, Bangladesh has approved this survey (Memo No. ERC-DMC/ECC/2020/88).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Responses were automatically stored in Microsoft Excel.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    Some statistical analyseses were performed on SPSS (Statistical Package for the Social Sciences) version 16.
    SPSS
    suggested: (SPSS, RRID:SCR_002865)
    Statistical Package for the Social Sciences
    suggested: (SPSS, RRID:SCR_002865)

    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: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    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.

  3. Version published to 10.1101/2020.05.05.20091181 on medRxiv