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Factors associated with coronavirus 2019 (COVID-19) prevention behaviors among health sciences students of a higher education institution in Yala province, Thailand
Walailak Journal of Science and Technology ; 17(9):967-978, 2020.
Article | WHO COVID | ID: covidwho-865205
ABSTRACT
The objectives of this research were to study the knowledge on COVID-19 infection, satisfaction of the measures on disease prevention and control, and the association between factors and COVID-19 prevention behaviors among health sciences students Content validity and reliability of research tools were measured Ethical for human study was approved by Research Ethic Committee Self-administered questionnaires were used to collect the data of 184 health sciences students in April, 2020 First, a proportion by curriculum and year of study was made Then, simple random sampling was created based on student identification Data analysis involved descriptive statistics, Chi-square and Fisher's exact tests The results found that participants had correct answer for COVID-19 infection (70 65 - 99 46%) and had a good knowledge level on COVID-19 infection (90 22%) Their satisfaction of the institute's measures on COVID-19 prevention and control was at High level (50 54%) COVID-19 prevention behavior among participants was at moderate level (51 63%) Age, year level, payment per week, and satisfaction level of their organization's measures on COVID-19 prevention and control were closely associated with COVID-19 prevention behavior (p - value < 0 05) These results could be used as guidelines to arrange additional activities for students in lower age and integrate health concern into the curriculum in early year of study For further study, satisfaction theory can be applied to encourage students to have positive behaviors
Full text: Available Collection: Databases of international organizations Database: WHO COVID Type: Article Journal: Walailak Journal of Science and Technology Year: 2020

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Full text: Available Collection: Databases of international organizations Database: WHO COVID Type: Article Journal: Walailak Journal of Science and Technology Year: 2020