Knowledge, attitude, and perceptions towards the 2019 Coronavirus Pandemic: A bi-national survey in Africa

  1. Elnadi Hager
  2. Ismail A. Odetokun
  3. Obasanjo Bolarinwa
  4. Ahmed Zainab
  5. Ochulor Okechukwu
  6. Ahmad I. Al-Mustapha

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Abstract

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  1. Version published to 10.1371/journal.pone.0236918
  2. ScreenIT

    SciScore for 10.1101/2020.05.27.20113951: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Informed consent was sought from the respondents and participants could withdraw from the survey at any time in line with stipulations of the World Medical Association Declaration of Helsinki Ethical principles (15).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data analysis: Data were summarized using Microsoft Excel 2019 and analyzed utilizing the Statistical Package for the Social Sciences (SPSS) software, v.22, and the OpenEpi.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    Statistical Package for the Social Sciences
    suggested: (SPSS, RRID:SCR_002865)
    SPSS
    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: We detected the following sentences addressing limitations in the study:
    The major limitations of this study were the low internet penetration rate in Nigeria (42%) and Egypt (54%); in which a significant proportion of the population could not gain access to this online survey. This, coupled with the lockdown limited the sample size of this preliminary study to 1437 (Nigeria - 1132 and Egypt - 305). A more encompassing global survey is currently being undertaken. Also, the data was skewed in favor of young respondents (18 – 39 years) due to their profound interest in social media. Our results cannot be generalized for Africa as a whole as each country had specific measures and peculiarities with regards to controlling the pandemic. For example, in Nigeria and Egypt, not all states have closed their borders, permitting the free movement of people across states.

    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 10.1101/2020.05.27.20113951v1 on medRxiv