COVID-19 health awareness among the United Arab Emirates population

  1. Balsam Qubais Saeed
  2. Iffat Elbarazi
  3. Mai Barakat
  4. Ahmed Omer Adrees
  5. Kubais Saeed Fahady

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Abstract

In response to the global COVID-19 epidemic, the United Arab Emirates (UAE) government is taking precautionary action to mitigate the spread of the virus. The aim of this study was to evaluate the knowledge and practices toward COVID-19 among the general public in the UAE during the current outbreak. A cross-sectional online survey of 1356 respondents in the UAE was conducted during the epidemic outbreak between 9 th to 24 th June-2020. The questionnaire consisted of three sections: Socio-demographic, knowledge, practices. Independent-samples t-test, one-way analysis of variance (ANOVA), chi-square and binary logistic regression was used. A p-value of (p < 0.05) was considered statistically significant. The total correct score of knowledge and practice questions was high 85% and 90%, respectively. Male’s sex, other marital status, and illiterate/primary educational levels had a lower level of knowledge and practices than others. Participants aged 18–29 had little higher knowledge than other ages but had a lower level in practices, people who live in Abu Dhabi had better knowledge and practices than other emirates, employed people had a lower level of knowledge but higher in practices. Binary logistic regression analysis presented that females, 18–29 years, and married participants significantly associated with a higher score of knowledge, while female, over 30 years old, the martial status of singles, college-level and higher, unemployed, were significantly associated with high mean practices score. This study provided a full screening of the knowledge and practices among a sample of residents in The UAE toward COVID-19, continuing to implement the health education programs pursued by the UAE is highly important to maintain the appropriate level of awareness among the public.

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  1. Version published to 10.1371/journal.pone.0255408
  2. ScreenIT

    SciScore for 10.1101/2020.09.10.20191890: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Each questionnaire took approximately10-15 minutes to answer. 2.3. Data Analysis: Data analysis conducted using Statistical Package for Social Software (SPSS) version
    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 10.1101/2020.09.10.20191890v1 on medRxiv