Knowledge, attitude and practices of COVID-19 among medical laboratory professionals in Zambia

  1. Adon Chawe
  2. Ruth L. Mfune
  3. Paul M. Syapiila
  4. Sharon D. Zimba
  5. Pipina A. Vlahakis
  6. Samson Mwale
  7. Kapambwe Mwape
  8. Memory Chirambo-Kalolekesha
  9. Misheck Chileshe
  10. Joseph Mutale
  11. Tobela Mudenda
  12. Grace Manda
  13. Victor Daka

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Abstract

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  1. Version published to 10.4102/ajlm.v10i1.1403
  2. ScreenIT

    SciScore for 10.1101/2020.09.22.20199240: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Ethical consideration: Ethical clearance for this study was obtained from the Tropical Diseases Research Centre institutional review board (IRB registration number: 00002911).
    Consent: The questionnaire contained an information sheet regarding the study and an informed consent statement for participants to agree to participate or not.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data management and statistical analysis: Collected data were downloaded and cleaned in Microsoft excel and exported to SPSS version 23 for statistical analysis.
    Microsoft excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    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: 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 10.1101/2020.09.22.20199240v1 on medRxiv