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Assessment of COVID-19 Information Overload Among the General Public

BACKGROUND: A relentless flood of information accompanied the novel coronavirus 2019 (COVID-19) pandemic. False news, conspiracy theories, and magical cures were shared with the general public at an alarming rate, which may lead to increased anxiety and stress levels and associated debilitating cons...

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Autores principales: Mohammed, Mustapha, Sha’aban, Abubakar, Jatau, Abubakar Ibrahim, Yunusa, Ismaeel, Isa, Abubakar Musa, Wada, Abubakar Sadiq, Obamiro, Kehinde, Zainal, Hadzliana, Ibrahim, Baharudin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815186/
https://www.ncbi.nlm.nih.gov/pubmed/33469869
http://dx.doi.org/10.1007/s40615-020-00942-0
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author Mohammed, Mustapha
Sha’aban, Abubakar
Jatau, Abubakar Ibrahim
Yunusa, Ismaeel
Isa, Abubakar Musa
Wada, Abubakar Sadiq
Obamiro, Kehinde
Zainal, Hadzliana
Ibrahim, Baharudin
author_facet Mohammed, Mustapha
Sha’aban, Abubakar
Jatau, Abubakar Ibrahim
Yunusa, Ismaeel
Isa, Abubakar Musa
Wada, Abubakar Sadiq
Obamiro, Kehinde
Zainal, Hadzliana
Ibrahim, Baharudin
author_sort Mohammed, Mustapha
collection PubMed
description BACKGROUND: A relentless flood of information accompanied the novel coronavirus 2019 (COVID-19) pandemic. False news, conspiracy theories, and magical cures were shared with the general public at an alarming rate, which may lead to increased anxiety and stress levels and associated debilitating consequences. OBJECTIVES: To measure the level of COVID-19 information overload (COVIO) and assess the association between COVIO and sociodemographic characteristics among the general public. METHODS: A cross-sectional online survey was conducted between April and May 2020 using a modified Cancer Information Overload scale. The survey was developed and posted on four social media platforms. The data were only collected from those who consented to participate. COVIO score was classified into high vs. low using the asymmetrical distribution as a guide and conducted a binary logistic regression to examine the factors associated with COVIO. RESULTS: A total number of 584 respondents participated in this study. The mean COVIO score of the respondents was 19.4 (± 4.0). Sources and frequency of receiving COVID-19 information were found to be significant predictors of COVIO. Participants who received information via the broadcast media were more likely to have high COVIO than those who received information via the social media (adjusted odds ratio ([aOR],14.599; 95% confidence interval [CI], 1.608–132.559; p = 0.017). Also, participants who received COVID-19 information every minute (aOR, 3.892; 95% CI, 1.124–13.480; p = 0.032) were more likely to have high COVIO than those who received information every week. CONCLUSION: The source of information and the frequency of receiving COVID-19 information were significantly associated with COVIO. The COVID-19 information is often conflicting, leading to confusion and overload of information in the general population. This can have unfavorable effects on the measures taken to control the transmission and management of COVID-19 infection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40615-020-00942-0.
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spelling pubmed-78151862021-01-21 Assessment of COVID-19 Information Overload Among the General Public Mohammed, Mustapha Sha’aban, Abubakar Jatau, Abubakar Ibrahim Yunusa, Ismaeel Isa, Abubakar Musa Wada, Abubakar Sadiq Obamiro, Kehinde Zainal, Hadzliana Ibrahim, Baharudin J Racial Ethn Health Disparities Article BACKGROUND: A relentless flood of information accompanied the novel coronavirus 2019 (COVID-19) pandemic. False news, conspiracy theories, and magical cures were shared with the general public at an alarming rate, which may lead to increased anxiety and stress levels and associated debilitating consequences. OBJECTIVES: To measure the level of COVID-19 information overload (COVIO) and assess the association between COVIO and sociodemographic characteristics among the general public. METHODS: A cross-sectional online survey was conducted between April and May 2020 using a modified Cancer Information Overload scale. The survey was developed and posted on four social media platforms. The data were only collected from those who consented to participate. COVIO score was classified into high vs. low using the asymmetrical distribution as a guide and conducted a binary logistic regression to examine the factors associated with COVIO. RESULTS: A total number of 584 respondents participated in this study. The mean COVIO score of the respondents was 19.4 (± 4.0). Sources and frequency of receiving COVID-19 information were found to be significant predictors of COVIO. Participants who received information via the broadcast media were more likely to have high COVIO than those who received information via the social media (adjusted odds ratio ([aOR],14.599; 95% confidence interval [CI], 1.608–132.559; p = 0.017). Also, participants who received COVID-19 information every minute (aOR, 3.892; 95% CI, 1.124–13.480; p = 0.032) were more likely to have high COVIO than those who received information every week. CONCLUSION: The source of information and the frequency of receiving COVID-19 information were significantly associated with COVIO. The COVID-19 information is often conflicting, leading to confusion and overload of information in the general population. This can have unfavorable effects on the measures taken to control the transmission and management of COVID-19 infection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40615-020-00942-0. Springer International Publishing 2021-01-19 2022 /pmc/articles/PMC7815186/ /pubmed/33469869 http://dx.doi.org/10.1007/s40615-020-00942-0 Text en © W. Montague Cobb-NMA Health Institute 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Mohammed, Mustapha
Sha’aban, Abubakar
Jatau, Abubakar Ibrahim
Yunusa, Ismaeel
Isa, Abubakar Musa
Wada, Abubakar Sadiq
Obamiro, Kehinde
Zainal, Hadzliana
Ibrahim, Baharudin
Assessment of COVID-19 Information Overload Among the General Public
title Assessment of COVID-19 Information Overload Among the General Public
title_full Assessment of COVID-19 Information Overload Among the General Public
title_fullStr Assessment of COVID-19 Information Overload Among the General Public
title_full_unstemmed Assessment of COVID-19 Information Overload Among the General Public
title_short Assessment of COVID-19 Information Overload Among the General Public
title_sort assessment of covid-19 information overload among the general public
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815186/
https://www.ncbi.nlm.nih.gov/pubmed/33469869
http://dx.doi.org/10.1007/s40615-020-00942-0
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