Publication Type
Journal Article
Version
publishedVersion
Publication Date
6-2021
Abstract
While the coronavirus disease 2019 (COVID-19) pandemic wreaked havoc across the globe, we have witnessed substantial mis- and disinformation regarding various aspects of the disease. We conducted a cross-sectional study using a self-administered questionnaire for the general public (recruited via social media) and healthcare workers (recruited via email) from the State of Qatar, and the Middle East and North Africa region to understand the knowledge of and anxiety levels around COVID-19 (April–June 2020) during the early stage of the pandemic. The final dataset used for the analysis comprised of 1658 questionnaires (53.0% of 3129 received questionnaires; 1337 [80.6%] from the general public survey and 321 [19.4%] from the healthcare survey). Knowledge about COVID-19 was significantly different across the two survey populations, with a much higher proportion of healthcare workers possessing better COVID-19 knowledge than the general public (62.9% vs. 30.0%, p
Keywords
COVID-19, health information, misinformation, anxiety, knowledge
Discipline
Databases and Information Systems | Health Information Technology | Public Health
Research Areas
Data Science and Engineering
Publication
International Journal of Environmental Research and Public Health
Volume
18
Issue
12
First Page
1
Last Page
12
ISSN
1661-7827
Identifier
10.3390/ijerph18126439
Publisher
MDPI
Citation
DORAISWAMY, Sathyanarayanan; CHEEMA, Sohaila; MAISONNEUVE Patrick; ABRAHAM, Amit; WEBER, Ingmar; AN, Jisun; LOWENFELS, Albert B.; and MAMTANI, Ravinder.
Knowledge and anxiety about COVID-19 in the State of Qatar, and the Middle East and North Africa Region—A Cross Sectional Study. (2021). International Journal of Environmental Research and Public Health. 18, (12), 1-12.
Available at: https://ink.library.smu.edu.sg/sis_research/6767
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://www.mdpi.com/1660-4601/18/12/6439
Included in
Databases and Information Systems Commons, Health Information Technology Commons, Public Health Commons