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Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study
BACKGROUND: Effective communication is critical for mitigating the public health risks associated with the COVID-19 pandemic. OBJECTIVE: This study assesses the source(s) of COVID-19 information among people in Nigeria, as well as the predictors and the perceived accuracy of information from these s...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837450/ https://www.ncbi.nlm.nih.gov/pubmed/33428580 http://dx.doi.org/10.2196/22273 |
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author | Erinoso, Olufemi Wright, Kikelomo Ololade Anya, Samuel Kuyinu, Yetunde Abdur-Razzaq, Hussein Adewuya, Abiodun |
author_facet | Erinoso, Olufemi Wright, Kikelomo Ololade Anya, Samuel Kuyinu, Yetunde Abdur-Razzaq, Hussein Adewuya, Abiodun |
author_sort | Erinoso, Olufemi |
collection | PubMed |
description | BACKGROUND: Effective communication is critical for mitigating the public health risks associated with the COVID-19 pandemic. OBJECTIVE: This study assesses the source(s) of COVID-19 information among people in Nigeria, as well as the predictors and the perceived accuracy of information from these sources. METHODS: We conducted an online survey of 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 7 potential sources (family and friends, places of worship, health care providers, internet, workplace, traditional media, and public posters/banners). An open-ended question was asked to explore how respondents determined accuracy of information. Statistical analysis was conducted using STATA 15.0 software (StataCorp Texas) with significance placed at P<.05. Approval to conduct this study was obtained from the Lagos State University Teaching Hospital Health Research Ethics Committee. RESULTS: A total of 719 respondents completed the survey. Most respondents (n=642, 89.3%) obtained COVID-19–related information from the internet. The majority (n=617, 85.8%) considered their source(s) of information to be accurate, and 32.6% (n=234) depended on only 1 out of the 7 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 (odds ratio [OR] 0.49, 95% CI 0.24-0.98). In addition, a significant proportion of respondents sought accurate information from recognized health organizations, such as the Nigeria Centre for Disease Control and the World Health Organization. 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 can be potentially beneficial for risk communication to control the pandemic. |
format | Online Article Text |
id | pubmed-7837450 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-78374502021-01-29 Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study Erinoso, Olufemi Wright, Kikelomo Ololade Anya, Samuel Kuyinu, Yetunde Abdur-Razzaq, Hussein Adewuya, Abiodun JMIR Public Health Surveill Original Paper BACKGROUND: Effective communication is critical for mitigating the public health risks associated with the COVID-19 pandemic. OBJECTIVE: This study assesses the source(s) of COVID-19 information among people in Nigeria, as well as the predictors and the perceived accuracy of information from these sources. METHODS: We conducted an online survey of 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 7 potential sources (family and friends, places of worship, health care providers, internet, workplace, traditional media, and public posters/banners). An open-ended question was asked to explore how respondents determined accuracy of information. Statistical analysis was conducted using STATA 15.0 software (StataCorp Texas) with significance placed at P<.05. Approval to conduct this study was obtained from the Lagos State University Teaching Hospital Health Research Ethics Committee. RESULTS: A total of 719 respondents completed the survey. Most respondents (n=642, 89.3%) obtained COVID-19–related information from the internet. The majority (n=617, 85.8%) considered their source(s) of information to be accurate, and 32.6% (n=234) depended on only 1 out of the 7 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 (odds ratio [OR] 0.49, 95% CI 0.24-0.98). In addition, a significant proportion of respondents sought accurate information from recognized health organizations, such as the Nigeria Centre for Disease Control and the World Health Organization. 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 can be potentially beneficial for risk communication to control the pandemic. JMIR Publications 2021-01-25 /pmc/articles/PMC7837450/ /pubmed/33428580 http://dx.doi.org/10.2196/22273 Text en ©Olufemi Erinoso, Kikelomo Ololade Wright, Samuel Anya, Yetunde Kuyinu, Hussein Abdur-Razzaq, Abiodun Adewuya. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 25.01.2021. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Erinoso, Olufemi Wright, Kikelomo Ololade Anya, Samuel Kuyinu, Yetunde Abdur-Razzaq, Hussein Adewuya, Abiodun Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study |
title | Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study |
title_full | Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study |
title_fullStr | Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study |
title_full_unstemmed | Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study |
title_short | Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study |
title_sort | predictors of covid-19 information sources and their perceived accuracy in nigeria: online cross-sectional study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837450/ https://www.ncbi.nlm.nih.gov/pubmed/33428580 http://dx.doi.org/10.2196/22273 |
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