Skip to content
Research Article Open access CC BY 4.0

Information and Knowledge Sources about COVID-19 amongst Final Year Medical Students in Enugu State, Nigeria: A Cross Sectional Study

Kelechi U. Imediegwu, Stephen I. Okogu, Benson C. Anya, Ezinne V. Uchegbu, Patrick Akhator Omoike, Ufuoma E. Tietie, Abiodun M. Ogundipe, Oliver O. Eusebius, Ikwuoma G. Eleweke, Chukwuemeka V. Mokwe, Chibuzor S. Okonkwo, Daniel U. Ohadinma, Eberechukwu F. Anikpo, Thomas U. Uku

International Journal of TROPICAL DISEASE & Health · pp. 45–54 · Published 22 Aug 2024

10.9734/ijtdh/2024/v45i81581

Abstract

Background: Coronavirus disease (COVID-19) was declared a pandemic by the World Health Organization (WHO) on March 11, 2020. Fortunately and unfortunately, there are various information sources out there; medical students should have optimal knowledge of COVID-19 with all forms of education explored as they would ultimately become the future physicians. Objectives: This current study aimed to identify the knowledge about COVID-19 amongst final year medical students and various means at which they source their information. Methods: This was a cross-sectional study conducted amongst final year medical students in the universities in Enugu State, Nigeria. An online questionnaire was distributed amongst the respondents. The SPSS software was used for analysis with p <0.05 as significant. Results: 84.3% of the respondents first got to know about COVID-19 from the internet amongst others; only 21.9% alluded to being adequately informed about COVID-19. Amongst those that use the internet as their predominant source of information, about 71.7% of them use Social Media as the preferred means. The most commonly used social media was WhatsApp whereas the most trusted Social Media was Twitter. There was a significant association between age and preferred social media for assessing information (X2=30.142; df =12; p=0.03). There was no significant association between age and medium chosen as predominant source of information (X2=2.796; df =6; p=0.834).  Conclusion and Recommendation: Final year medical students showed the expected level of information and knowledge about COVID-19. Medical educators should incorporate social media in medical education especially twitter and WhatsApp, which were the most trusted media of information sources, should be employed in the dissemination of information amongst medical students and the populace in general.

COVID-19 medical students information social media

References (9)

  1. 1 The epidemiology, diagnosis and treatment of COVID-19 [DOI]
  2. 2 Medical Students and COVID-19: Knowledge, Attitudes, and Precautionary Measures. A Descriptive Study From Jordan [DOI]
  3. 3 Knowledge and Information Sources About COVID-19 Among University Students in Jordan: A Cross-Sectional Study [DOI]
  4. 4 Demand for Health Information on COVID-19 among Vietnamese [DOI]
  5. 5 Demographic Factors Influencing the Impact of Coronavirus-Related Misinformation on WhatsApp: Cross-sectional Questionnaire Study [DOI]
  6. 6 Knowledge, Perceptions, and Prevention Practices among Palestinian University Students during the COVID-19 Pandemic: A Questionnaire-Based Survey [DOI]
  7. 7 The Impact of Information Sources on COVID-19-Related Knowledge, Attitudes, and Practices (KAP) among University Students: A Nationwide Cross-Sectional Study [DOI]
  8. 8 Impact of COVID-19-related knowledge on protective behaviors: The moderating role of primary sources of information [DOI]
  9. 9 Predictors of misconceptions, knowledge, attitudes, and practices of COVID-19 pandemic among a sample of Saudi population and its impact: a cross-sectional study [DOI]

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

26

Page views

0

PDF downloads

12

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.