Assessment of COVID-19 information overload among the general public
Mohammed, M and Shaaban, A and Jatau Abubakar, I and Yunusa, I and Isa, AM and Wada, AS and Obamiro, O and Zainal, H and Ibrahim, B, Assessment of COVID-19 information overload among the general public, Journal of racial and ethnic health disparities pp. 1-9. ISSN 2197-3792 (2021) [Refereed 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.
COVID 19, information overload, public, assessment