Awareness, perception and the practice of COVID-19 prevention among residents of a state in the South-South region of Nigeria: implications for public health control efforts

  1. Golden Owhonda
  2. Omosivie Maduka
  3. Ifeoma Nwadiuto
  4. Charles Tobin-West
  5. Esther Azi
  6. Chibianotu Ojimah
  7. Datonye Alasia
  8. Ayo-Maria Olofinuka
  9. Vetty Agala
  10. John Nwolim Paul
  11. Doris Nria
  12. Chinenye Okafor
  13. Ifeoma Ndekwu
  14. Chikezie Opara
  15. Chris Newsom

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Abstract

Background

As with any epidemic, coronavirus disease 2019 (COVID-19) has evoked panic, fear and misconceptions. The risk communication pillar of the Public Health Emergency Operations Centre is responding to the pandemic by facilitating correct and consistent information to enable the adoption of behaviours to prevent and control COVID-19. This study explored awareness, perception and practice of COVID-19 prevention among residents in Rivers State, Nigeria, during the early stages of the COVID-19 pandemic response.

Methods

This was a descriptive cross-sectional survey among 1294 adult residents across all districts of the state. It employed an interviewer-administered questionnaire. Knowledge was graded as excellent for scores of ≥80%, good for scores of 50–79% and poor for scores of <50%. Respondents who washed all critical parts of their hands were categorised as adopting correct handwashing practice. Regression modelling was employed to determine predictors of knowledge and practice of COVID-19 prevention with p=0.05.

Results

The respondents were aged 18–80 y with an average age of 39.6 (SD=11.9) y. A total of 710 (54.9%) were male, 476 (36.8%) were unemployed with 685 (52.9%) having secondary education. The most common sources of information about COVID-19 were radio jingles (1102; 86.7%) and television adverts (940; 74.0%). Overall, 608 (47.0%) of the respondents had a poor knowledge of COVID-19. About 443 (34.9%) respondents believed they were unlikely to contract the virus. Only 505 (39.0%) of respondents washed all the critical parts of their hands correctly. Occupation (adjusted OR [AOR]=1.39, 95% CI 1.07 to 1.82, p=0.01), level of education (AOR=4.71, 95% CI 1.90 to 11.68, p<0.001) and location (AOR=1.75, 95% CI 1.29 to 2.38; p<0.001) significantly predicted respondents’ knowledge about COVID-19. The significant predictors of practice of COVID-19 were age (AOR=0.60, 95% CI 0.42 to 0.84, p=0.003), occupation (AOR=1.93, 95% CI 1.41 to 2.63, p<0.001), location (AOR=2.35, 95% CI 1.65 to 3.34, p<0.001) and knowledge about COVID-19 (AOR=7.75, 95% CI 5.94 to 10.11, p<0.001).

Conclusions

Broadcast media has a pivotal role to play in risk communication for behavioural change for the control of current and future epidemics in this population.

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  1. Version published to 10.1093/inthealth/ihab046
  2. ScreenIT

    SciScore for 10.1101/2020.10.11.20210864: (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
    Data was exported to Microsoft Excel and analysed with SPSS version 23.
    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 10.1101/2020.10.11.20210864v1 on medRxiv