Survey data of COVID-19-related Knowledge, Risk Perceptions and Precautionary Behavior among Nigerians

  1. Peter O. Olapegba
  2. Steven K. Iorfa
  3. Samson O. Kolawole
  4. Rotimi Oguntayo
  5. Joshua C. Gandi
  6. Iboro F.A. Ottu
  7. Olusola Ayandele

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Abstract

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  1. ScreenIT

    SciScore for 10.1101/2020.04.11.20061408: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Participation was completely consensual, anonymous and voluntary, and informed consent was obtained from all respondents. 2.3. Instruments: Socio-demographic data were elicited from the respondents on variables such as gender, age, marital status, ethnicity, educational qualification, religion, perceived financial situation and present location.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Descriptive statistical analysis was performed using IBM SPSS Statistic version 20.
    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:
    Limitations: The time-sensitivity of the novel Coronavirus disease 2019 pandemic led to the adoption of the snowball sampling strategy which might limit generalizability of the finding to the general population. There was an oversampling of respondents from the Yoruba ethnic group, leading to selection bias. Similarly the findings may not be generalizable to the less educated people. Notwithstanding the above limitations, this study provides a baseline of information on knowledge and perceptions about the ravaging COVID-19 from respondents across 180 municipalities in Nigeria. It is worthy of note that this study is an exploratory one and is part of a larger study aimed at understanding and outlining how knowledge and awareness of COVID-19 among Nigerians is shaping their response to the pandemic and precautionary behavior. There is need for further research to build the evidence base for the study of COVID-19 knowledge and precautionary measures.

    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.dib.2020.105685
  3. Version published to 10.1101/2020.04.11.20061408v2 on medRxiv
  4. Version published to 10.1101/2020.04.11.20061408v1 on medRxiv