Assessment of COVID-19 Information Overload Among the General Public
- PMID: 33469869
- PMCID: PMC7815186
- DOI: 10.1007/s40615-020-00942-0
Assessment of COVID-19 Information Overload Among the General Public
Abstract
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.
Keywords: COVID-19; General public; Information overload.
© 2021. W. Montague Cobb-NMA Health Institute.
Conflict of interest statement
The authors declare that they have no competing interests.
Figures
Similar articles
-
Information overload in the context of COVID-19 pandemic: A repeated cross-sectional study.Patient Educ Couns. 2023 May;110:107672. doi: 10.1016/j.pec.2023.107672. Epub 2023 Feb 13. Patient Educ Couns. 2023. PMID: 36827879 Free PMC article. Clinical Trial.
-
Infodemic vs. Pandemic Factors Associated to Public Anxiety in the Early Stage of the COVID-19 Outbreak: A Cross-Sectional Study in China.Front Public Health. 2021 Aug 30;9:723648. doi: 10.3389/fpubh.2021.723648. eCollection 2021. Front Public Health. 2021. PMID: 34527653 Free PMC article.
-
Excessive Media Consumption About COVID-19 is Associated With Increased State Anxiety: Outcomes of a Large Online Survey in Russia.J Med Internet Res. 2020 Sep 11;22(9):e20955. doi: 10.2196/20955. J Med Internet Res. 2020. PMID: 32788143 Free PMC article.
-
Information Overload and Infodemic in the COVID-19 Pandemic.J Pak Med Assoc. 2020 May;70(Suppl 3)(5):S162-S165. doi: 10.5455/JPMA.38. J Pak Med Assoc. 2020. PMID: 32515403 Review.
-
COVID-19: Pan(info)demic.Turk J Anaesthesiol Reanim. 2020 Dec;48(6):438-442. doi: 10.5152/TJAR.2020.1008. Epub 2020 Oct 7. Turk J Anaesthesiol Reanim. 2020. PMID: 33313581 Free PMC article. Review.
Cited by
-
Living with "long COVID": A systematic review and meta-synthesis of qualitative evidence.PLoS One. 2023 Feb 16;18(2):e0281884. doi: 10.1371/journal.pone.0281884. eCollection 2023. PLoS One. 2023. PMID: 36795701 Free PMC article.
-
Gender-Specificity of Fatigue and Concerns Related to the COVID-19 Pandemic-A Report on the Polish Population.Int J Environ Res Public Health. 2023 Apr 5;20(7):5407. doi: 10.3390/ijerph20075407. Int J Environ Res Public Health. 2023. PMID: 37048021 Free PMC article.
-
Intersection of Perceived COVID-19 Risk, Preparedness, and Preventive Health Behaviors: Latent Class Segmentation Analysis.Online J Public Health Inform. 2023 Oct 24;15:e50967. doi: 10.2196/50967. eCollection 2023. Online J Public Health Inform. 2023. PMID: 38046563 Free PMC article.
-
COVID-19 vaccine literacy in patients with systemic autoimmune diseases.Curr Psychol. 2022 Jan 18:1-16. doi: 10.1007/s12144-022-02713-y. Online ahead of print. Curr Psychol. 2022. PMID: 35068910 Free PMC article.
-
Factors associated with acceptance of COVID-19 vaccine among University health sciences students in Northwest Nigeria.PLoS One. 2021 Nov 29;16(11):e0260672. doi: 10.1371/journal.pone.0260672. eCollection 2021. PLoS One. 2021. PMID: 34843594 Free PMC article.
References
-
- Bawden D. Robinson L. Information overload: an overview. Oxford Encyclopedia of Political Decision Making. Oxford University Press; 2020.
-
- Eppler MJ, Mengis J. A framework for information overload research in organizations. Università della Svizzera italiana. 2003.
-
- Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, Ho RC. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int J Environ Res Public Health. 2020;17(5):1729. doi: 10.3390/ijerph17051729. - DOI - PMC - PubMed
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Miscellaneous