COVID (Mar 2023)

Assessing Internet Surfing Behaviours and Digital Health Literacy among University Students in Ghana during the COVID-19 Pandemic

  • Francis Britwum,
  • Stephen Kofi Anin,
  • Edmond Kwesi Agormedah,
  • Frank Quansah,
  • Medina Srem-Sai,
  • John Elvis Hagan,
  • Thomas Schack

DOI
https://doi.org/10.3390/covid3030030
Journal volume & issue
Vol. 3, no. 3
pp. 405 – 417

Abstract

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This study assessed the internet surfing behaviours and digital health literacy (DHL) among university students in Ghana during the COVID-19 pandemic. The research was guided by three major objectives: (1) examine the online information searching behaviours of university students during the COVID-19 pandemic, (2) investigate the thematic areas university students searched during COVID-19, and (3) examine the DHL level of university students. The study conveniently sampled 1014 university students to solicit their responses through questionnaire administration. Using frequency and percent counts, multiple response analysis, as well as mean and standard deviation, the study revealed that the predominant platforms university students used were search engines (n = 954, 94.1%), social media (n = 950, 93.7%), and WhatsApp (n = 950, 93.7%). Predominant themes among the thematic areas university students searched during COVID-19 were symptoms of COVID-19 (n = 701, 81.7%), COVID-19 vaccines (n = 689, 80.3%), and transmission routes of the coronavirus (n = 664, 77.4%). Further, other results showed that students enrolled in health-related programmes showed significantly higher levels of DHL compared to those in non-health-related programmes. The findings suggest the need to implement health education measures to strengthen students’ health literacy capacities and their DHL ability. This finding requires governments and health authorities to implement evidence-informed health communication strategies to provide valid and reliable health information concerning the COVID-19 pandemic and support individuals to make health-promoting decisions.

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