ABSTRACT
PurposeBased on text content analysis using big data, this study aims to explore differences in guest perceptions of peer-to-peer accommodations before and after COVID-19 to provide suggestions for the development of these properties in China postpandemic. Design/methodology/approachA guest perception dictionary was established by collecting Ctrip customer reviews of peer-to-peer accommodations. After data cleaning, thematic word analysis and semantic association network analysis were used to explore perceptions and thematic differences before and after COVID-19. FindingsThis research constructed a multidimensional framework of guest-perceived values for peer-to-peer accommodation in the context of COVID-19. The findings showed that the emphasis on functionality in peer-to-peer accommodation changed;perceived emotional values associated with peer-to-peer stays were more complex;perceived social values decreased, host-guest interactions were reduced and online communication became a stronger trend;tourist preferences for types of experiences changed, and people changed their destination selections;perceived conditional value was reflected in perceived risks, and the perceptions of environmental health, service and physical risks increased. Research limitations/implicationsThis research has constructed a multidimensional framework of tourist perceived value on the basis of peer-to-peer accommodation context and epidemic background and has thus shown the changes in tourist perceived value of peer-to-peer accommodation before and after COVID-19. Originality/valueTo the best of authors' knowledge, this research constitutes the first attempt to explore the perceptual differences for peer-to-peer accommodations before and after COVID-19 based on an extensive data set of online reviews from multiple provinces of China.
ABSTRACT
Introduction/Objective: In response to the sudden COVID-19 pandemic, the Chinese government has restricted student visas for international students as part of an emergency "zero COVID" plan. As a result of these border closures, most international students enrolled in Chinese medical universities have not returned to campus for more than 2.5 years and have continued their medical education online. Basic medical science study has continued relatively smoothly compared to clinical apprenticeships, which focus more on clinical traineeship and practice. How to turn the crisis caused by the pandemic into an opportunity to improve the level of basic medical science education and level of pathology interest in our school is the topic explored in this paper. Methods/Case Report: The methods proposed in this study include the intelligence of artificial intelligence technology and adaptive teaching tools for teaching students in accordance with their aptitude, interactive microscopic slides and gross pathology recognition methods based on computer graphics technology, and Internet-based group learning and large group discussions. All the advantages of traditional classroom teaching are therefore included and some overcome the shortcomings of traditional classroom teaching. Results (if a Case Study enter NA): Grades in 2019-2020 school year basic medical science courses were obtained. In this school year, the first semester was traditional education on campus and the second semester was online using the method described in this paper. Second semester grades were 17.2% higher than the first. USMLE Step 1 performance was another measured outcome because it focuses on basic science and pathology. A good outcome on this exam was obtained and the teaching method proposed in this paper is verified. Conclusion(s): The author is preparing to expand the sample size to further verify, improve, and perfect the method proposed in this paper, so as to promote the depth and breadth of basic medical education and continuing success from education into success in pathology careers.
ABSTRACT
In order to correctly evaluate the travel infection risks during the COVID-19 pandemic, this study proposed an infection risk assessment model based on the travel behavior analysis. Using the epidemiological survey data and online questionnaire data in Jiangsu, China this study developed and calibrated the travel behavior models for virus carriers and ordinary individuals. The travel behaviors of virus carriers and ordinary individuals were also compared. The infection risks were evaluated for different travel modes and travel activities. The results indicate that: (1) implementing strict traffic control measures significantly reduces the infection risk;(2) the infection risk of medical treatment travel activities is significantly higher than other travel activities;(3) business or leisure travel activities expose to a higher infection risk in the early stages of the pandemic;(4) the risk of non-motor vehicle travel is relatively low. Copyright © 2020 by Science Press.