ABSTRACT
Purpose: This study aims to evaluate the psychological status and the attitudes toward the novel coronavirus disease 2019 (COVID-19) vaccine among anesthesiologists. We expected to analyze related factors and offer them some strategies to prevent and manage psychological issues under the post COVID-19 era. Methods: Based on the Checklist for Reporting Results of Internet E-Surveys (CHERRIES), an online survey was designed and conducted among anesthesiologists in Shaanxi, China. Participants were asked to complete a validated questionnaire voluntarily. The following tests were performed: Depression, Anxiety and Stress Scale (DASS-21), Primary Care Post-traumatic Stress Disorder Screen (PC-PTSD), and the attitudes toward COVID-19 vaccine. Results: A total of 795 anesthesiologists completed the survey, the majority of them were female, young and middle-aged, well educated, and married. The prevalence of depression, anxiety, and stress in this sample were 26.5%, 35.5%, and 19.9%, respectively. Longer daily working time, concomitant basic chronic disease, and COVID-19 exposure were extracted as risk factors for the psychological symptoms, while vaccination, elder age, and married status were negatively associated with them. An unsatisfied vaccination rate (71.9%) which might be linked with inadequate awareness and perception of the COVID-19 vaccine was also detected in this study. Conclusion: Anesthesiologists are still under rising pressure of psychological symptoms in the post COVID-19 era. It is imperative to afford continuous psychological support to them and ensure their mental health and professional performance.
ABSTRACT
Purpose of the study: The first purpose of this study is to present the detailed requirements from employers;the second is to share a powerful data collecting and visualization method with translation scholars and practitioners. Method: We proposed a new method of data collection and data analyzation. The technology of web scraping, such as programs written in Python can retrieve the first-hand data in a faster and more convenient manner than traditional questionnaires or interviews;the technology of data visualization, such as Tableau Desktop, can show the results between graphic marks and data values in a graphic representation. With these technologies, we collected, cleaned, analyzed, mapped, and visualized 46144 listings from 51job, an online recruitment website, across China in terms of translators. Results: After analyzation, we find: (1) employers value applicants’ bilingual competences most;(2) employers require applicants should have some working experience;(3) employers require applicants should have relevant knowledge in specific fields;(4) office software and translation technologies are required. Conclusion: Job listing is an important source to analyze industry requirements. With the help of web scraping and visualization technology, a new world will be opened to scholars and practitioners in translation studies.