Inadequate level of knowledge, mixed outlook and poor adherence to COVID-19 prevention guideline among Ethiopians

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Abstract

COVID-19 has a potential to cause chaos in Ethiopia due to the country’s already daunting economic and social challenges. Living and working conditions are highly conducive for transmission, as people live in crowded inter-generational households that often lack running water and other basic sanitary facilities. Thus, the aim of this study was to investigate the knowledge, attitudes and practices (KAP) of Ethiopians toward COVID-19 following the introduction of state of emergency by the Ethiopian government to curb the spread of the disease. A cross-sectional study design was conducted in nine reginal states and two chartered cities. Data for demographic, Knowledge, attitude and practice toward COVID-19 were collected through telephone interview from 1570 participants. Descriptive and bivariate analyses using chi-square test, t-test or analysis of variance were performed as appropriate. Binary and multiple logistic regression analysis were used to measure the relationship between the categorical dependent variables and one or more socio-demographic independent variables with two-tailed at α=0.05 significance level and 95% of confidence interval. The level of good knowledge, favourable attitude and good practice among the respondents were 42%, 53.8% and 24.3% respectively. Being rural resident, older than 50 years, having at least primary education, being resident of Amhara and Oromia regions were independent predictors of knowledge level. While being rural resident, married, employed, having at least basic education, being residents of Afar, Amhara, Gambela, Oromia and Somali regions were found to be the best predictors of the attitude, being rural resident, government employee, having at least basic education, and living outside of the capital were the independent predictors of practice level of the respondents. The finding revealed that Ethiopians have inadequate level of knowledge and are generally have a mixed outlook on overcoming the pandemic with poor adherence to COVID-19 prevention practice. reinforcing preventive measures and intensifying sensitization campaigns to fill the knowledge gap and persuading people to follow the preventive measures set by the government with concurrent evaluation of the impacts of these measures on knowledge and practice is highly recommended to mitigate the disease.

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  1. SciScore for 10.1101/2020.07.22.215590: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Following the verbal consent, each respondent was assured that the voice is not recorded, and any personal data is not required to participate in the study. 2.6.
    RandomizationIn most cases, phone numbers were randomly selected from local phone book.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.


    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.
    • No funding statement was detected.
    • 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.