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Objective. This study examined associations between socio-demographic characteristics and knowledge, attitudes, and practices (KAP) related to COVID-19 among healthcare workers in Bangkok, Thailand. Materials and methods. A cross-sectional online survey was distributed among healthcare workers in Bangkok, Thailand from July - August 2021. Results. A total of 637 responses were received. Most participants were clinical workers (68.4%), and nearly half (47.3%) had been at risk of infection with COVID-19 (ever screening test). Binary logistic regression analysis found associations between high knowledge scores and the 26–35-year age group (OR=1.776-1.562, 95%CI 1.021–2.853), having a bachelor’s degree or higher (OR=1.672, 95%CI 1.058–2.644), and clinical workers (OR=1.784, 95CI% 1.188–2.678). The 36 year and above age group was associated with higher attitude scores (OR=2.406, 95%CI 1.567–3.695). Higher practice scores were associated with females (OR=1.913, 95%CI 1.057–3.464), and clinical workers (OR=1.903, 95CI% 1.170–3.095). Correlation analysis found a positive correlation between practice scores and knowledge (r=0.322, p <0.001) and attitudes (r=0.263, p <0.001). Conclusion. Although healthcare workers demonstrated overall high knowledge, attitude, and practice scores, this study identified several factors that influence KAP. This study can guide public health strategies regarding healthcare workers during the third wave of the COVID-19 pandemic in Thailand.
Background. The COVID-19 pandemic is having a serious impact around the world. Many countries have experienced a two or three wave pattern in reported cases. The virus’s spread in Thailand was a cluster event distributed over multiple locations, multi-spender, and multiple waves of outbreaks. Objective. This study aims to study gender associated with age, risk factors, and nationality during coronavirus pandemic in Thailand. Material and methods. A retrospective cohort study was conducted from January 2020 to May 2021 (17 months) to determine the number of confirmed cases and identify gender associated with, age, various risk factors and nationality were analyzed by chi square test and binary logistic regression analyses. Results. The results show that the number of cases increased by over 100,000 over the course of three waves of outbreaks. The logistic regression analysis revealed that genders were significantly related with age, various risk factors, and nationality across different waves (p < 0.01). Across the primary risk factors were community risk, community cluster and close contact with a previously confirmed patient on confirmed cases during COVID-19 pandemic Conclusion. Significant differences between genders were significantly associated with age, various risk factors, and nationality may be due to weak social distancing policies and the lack of public health interventions. A COVID-19 vaccination plan is needed for people who are at risk of suffering severe symptoms as well as the general population in outbreak areas to increase immunity.
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