Assessment of knowledge, attitudes, practices, and vaccine acceptance for coronavirus disease 2019 among the public in a MERS-CoV-endemic country

Objective: The objective of the study is to identify associations between the sociodemographic characteristics and the level of knowledge, scope of attitudes, and self-reported practices among adults during the coronavirus disease 2019 (COVID-19) pandemic in Riyadh. Methods: A quantitative, cross-se...

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Bibliographic Details
Main Authors: Mazin Adnan Barry, Bader A Zawawi, Moath K AlGhusoon, Abdulrahman S AlArifi, Saud K AlHothaly, Omar Abdulmohsen Fatani
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Journal of Nature and Science of Medicine
Subjects:
Online Access:http://www.jnsmonline.org/article.asp?issn=2589-627X;year=2021;volume=4;issue=4;spage=317;epage=323;aulast=Barry
Description
Summary:Objective: The objective of the study is to identify associations between the sociodemographic characteristics and the level of knowledge, scope of attitudes, and self-reported practices among adults during the coronavirus disease 2019 (COVID-19) pandemic in Riyadh. Methods: A quantitative, cross-sectional study of adults was conducted using a multistage participatory approach between May 31 and June 7, 2020, in Riyadh, Saudi Arabia. Results: Of 1364 study participants, 73.9% knew the descriptive type of COVID-19. Females showed a statistically significant higher knowledge composite (P < 0.0001), and the majority had higher sufficient knowledge scores than males. Only 24.9% agreed that individuals could be tested positive for influenza and COVID-19 at the same time. Negative attitudes were highly prevalent among younger, unmarried, non-Saudi, male participants (P < 0.05). 72.9% reported placing masks on infants or children under 2 years. Similarly, older age groups and Saudi females were better at practicing risk-based preventive controls for COVID-19 than younger age groups and non-Saudi males (P < 0.0001). 60% expressed that if a vaccine would be available this year, they would feel it was rushed, while 56% would consider receiving it but would wait to see what happens to others. Conclusion: These findings could be helpful in guiding machine learning models in groups more affected by knowledge insufficiency, gaps in attitudes, and behavioral compliance.
ISSN:2589-627X
2589-6288