Public knowledge, attitudes, and practice about COVID-19 pandemic

Autor: Ala Ashour, Ahmad Mohammad Al-Smadi, Noor Abu-Al-Rous, Abedalmajeed Alshajrawi, Loai Issa Tawalbeh, Omar Salem Gammoh
Rok vydání: 2021
Předmět:
Zdroj: Journal of Public Health in Africa
Journal of Public Health in Africa (2021)
ISSN: 2038-9922
Popis: Background: COVID-19 is a newly discovered global pandemic that affected almost all countries including Jordan. Knowledge, attitude and practices are fundamental to suppress the spread of the virus. Objective: This study aimed to examine knowledge, attitude and practices about COVID-19 in Jordan. Methods: A cross-sectional design was used to recruit a convenience sample of public from Jordan. An online instrument used to assess knowledge, attitude and practices about COVID-19, and was developed by the research team. The data were collected online through social media networks in Jordan. The data were collected during May 2020. Results: 2470 participants participated and completed the study questionnaire. Results indicated good knowledge, practice, and attitude, about COVID-19 among the public in Jordan. Linear regression showed that female, aged 40 years or more, married, with Bachelor degree or higher, employed, and participants believe that Jordan will control COVID-19 had higher knowledge compared to their counterparts. Besides, linear regression showed that female, living in Amman city, with high knowledge about COVID-19, and believe that Jordan will control COVID-19 had higher practice compared to their counterparts. Conclusion: Knowledge, attitude and practices levels regarding COVID-19 among Jordanian population during the pandemic were high. However, health authorities and government have to implement and maintain educational programs to enhance the Jordanian population’s awareness regarding COVID-19 and to prevent its spread specially among male, aged less than 40 years, unmarried, with less than Bachelor degree, unemployed, and for participants believe that Jordan will not control COVID-19
Databáze: OpenAIRE