Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jul 8, 2020
Date Accepted: Aug 17, 2020
Date Submitted to PubMed: Jan 11, 2021

The final, peer-reviewed published version of this preprint can be found here:

Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study

Erinoso O, Wright K, Anya S, Kuyinu Y, Abdurrazzaq H, Adewuya A

Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study

JMIR Public Health Surveill 2021;7(1):e22273

DOI: 10.2196/22273

PMID: 33428580

PMCID: 7837450

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

COVID-19 Infodemiology in Nigeria- Predictors of Sources and Perceived accuracy: An online cross-sectional study

  • Olufemi Erinoso; 
  • Kikelomo Wright; 
  • Samuel Anya; 
  • Yetunde Kuyinu; 
  • Hussein Abdurrazzaq; 
  • Abiodun Adewuya

ABSTRACT

Background:

Effective communication is critical in mitigating the public health risks associated with the COVID-19 pandemic.

Objective:

This study assesses the source(s) of COVID-19 Information among Nigerians, predictors and the perceived accuracy of information from these sources.

Methods:

We conducted an online survey on consenting adults residing in Nigeria between April and May 2020 during the lockdown and first wave of COVID-19. The major sources of information about COVID-19 were distilled from seven potential sources (family or friends; place of worship; health care providers; internet; work-place; traditional media and public posters/ banners). An open-ended question was asked to explore how respondents determined the accuracy of information. Statistical analysis was done using STATA 15.0 software (StataCorp Texas) with significance placed at p-value <0.05. Approval was obtained for the conduct of this study from the Lagos State University Teaching Hospital Ethical Committee.

Results:

A total of 719 respondents completed the survey. Most of the respondents (89.3%) obtained COVID-19 related information from the internet. About 85.8% considered their source(s) of information as accurate; and 32.6% depended on only one out of the seven potential sources of COVID-19 information. Respondents earning a monthly income between NGN 70,000-120,000 had lower odds of obtaining COVID-19 information from the internet compared to respondents earning less than NGN 20,000 (OR: 0.49; 95% CI: 0.24,0.98; p: 0.04). Also, a significant proportion of respondents sought accurate information from recognized health organisations, such as, the Nigeria Centre for Disease Control (NCDC) and the World Health Organisation (WHO).

Conclusions:

The internet was the most common source of COVID-19 information, and the population sampled had a relatively high level of perceived accuracy for the COVID-19 information received. Effective communication requires dissemination of information via credible communication channels, as identified from this study. This is potentially beneficial for risk communication in the control of the COVID-19 pandemic. Clinical Trial: NA


 Citation

Please cite as:

Erinoso O, Wright K, Anya S, Kuyinu Y, Abdurrazzaq H, Adewuya A

Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study

JMIR Public Health Surveill 2021;7(1):e22273

DOI: 10.2196/22273

PMID: 33428580

PMCID: 7837450

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.