ABSTRACT
Objectives: We explored in this study whether insomnia, viral anxiety, reassurance-seeking behavior, and preoccupation with COVID-19 are related among the general population. As well, we explored the possibility that insomnia may mediate the association between COVID-19 viral anxiety and preoccupation. Method(s): During November 9-15, 2021, 400 participants voluntarily completed this survey, and participants' age, sex, living location, and marital status were collected. Responses to questions about COVID- 19, were also gathered, and their symptoms were rated using the Obsession with COVID-19 scale (OCS), Coronavirus Reassurance- Seeking Behaviors Scale (CRBS), Fear of COVID-19 scale (FCV-19S), and Insomnia Severity Index (ISI). The mean and standard deviation of participants' demographic characteristics and rating scale scores are summarized. Two-tailed significance was determined by a p value of 0.05. Correlation analysis was performed using Pearson's correlation coefficient. We used linear regression to examine which variables can predict obsession with COVID-19. The bootstrap method with 2,000 resamples was implemented to determine whether insomnia mediates the influence of viral anxiety or reassurance seeking behavior on preoccupation with COVID-19. Result(s): A total of 400 participants were analyzed in this study. Preoccupation with COVID-19 was predicted by young age (beta = -0.08, p = 0.012), CRBS (beta = 0.52, p < 0.001), FCV-19S (beta = 0.30, p < 0.001), and ISI (beta = 0.07, p = 0.029) (adjusted R2 = 0.62, F = 163.6, p < 0.001). Mediation analysis showed that insomnia partially mediates the influence of reassurance seeking behavior and viral anxiety on preoccupation with COVID-19. Conclusion(s): Sleep disturbances can contribute to a vicious cycle of hypochondriacal preoccupation with COVID-19. In order to reduce an individual's viral anxiety, insomnia symptoms must be addressed.
ABSTRACT
Background and Objective We explored in this study whether insomnia, viral anxiety, reassurance-seeking behavior, and preoccupation with coronavirus disease (COVID-19) are related among the general population. As well, we explored the possibility that insomnia may mediate the association between COVID-19 viral anxiety and preoccupation. Methods During November 9-15, 2021, 400 participants voluntarily completed this survey, and participants' age, sex, living location, and marital status were collected. Responses to questions about COVID-19 were also gathered, and their symptoms were rated using the Obsession with COVID-19 Scale (OCS), Coronavirus Reassurance-Seeking Behaviors Scale (CRBS), Fear of COVID-19 scale (FCV-19S), and Insomnia Severity Index (ISI). Results Preoccupation with COVID-19 was predicted by young age (beta = -0.08, p = 0.012), CRBS (beta = 0.52, p < 0.001), FCV-19S (beta = 0.30, p < 0.001), and ISI (beta = 0.07, p = 0.029) (adjusted R2 = 0.62, F = 163.6, p < 0.001). Mediation analysis showed that insomnia partially mediates the influence of reassurance seeking behavior and viral anxiety on preoccupation with COVID-19. Conclusions Sleep disturbances can contribute to a vicious cycle of hypochondriacal preoccupation with COVID-19. In order to reduce an individual's viral anxiety, insomnia symptoms must be addressed. Copyright © 2022 The Korean Society of Sleep Medicine
ABSTRACT
This study examines how consumers’ intention to use a curbside pickup responds to the COVID-19 vaccination rates. With our first survey conducted in March 2021, we find that a low (high) vaccination rate is associated with consumers’ high (low) intention to maintain contact avoidance and their high (low) anticipation for shipping delays. Heightened contact avoidance and anticipation for shipping delays may encourage consumers to use a curbside pickup. Our results also show that when a product is needed immediately, and a consumer expects shipping delays, s/he is more likely to use a curbside pickup. However, with our second survey conducted in November 2021, we find heterogeneous consumer responses to the vaccination rates. Specifically, consumers’ political affiliation moderates the relationship between the vaccination rates and their intention to maintain contact avoidance. The association between the vaccination rates and the anticipation for shipping delays is also weakened compared to March 2021. Our empirical results illustrate how consumers’ intention to use a curbside pickup emerges and changes amid the COVID-19 pandemic. © 2022, Asia Pacific Journal of Information Systems. All Rights Reserved.
ABSTRACT
This study explores the status and needs of Cambodia Technical Vocational Education Training (TVET) for the hair and beauty Industry to develop Cambodia’s very first online TVET diploma curriculum for hair and beauty localize from the curriculums of the Korean online (cyber or digital) universities specialized in beauty area. The study conducted a comprehensive situational analysis by qualitative approach through focus group interviewing Government, Industry, TVET institution and descriptive survey to potential 176 students: 116 hair shop owners and 60 staff. The findings confirmed that stakeholders from government, industry, and TVET institutions expressed high need to introduce an innovative online hybrid model of TVET diploma program for the development of Cambodia hair and beauty industry as well as potential students from the industry. In conclusion, the study’s result suggests adopting a hybrid blended learning approach in TVET should be encouraged under the current Covid-19 pandemic. The study recommends further studies to evaluate its effectiveness and impact of this newly designed program with various perspective from the individual level, institutional level, and hair and beauty TVET sector in Cambodia. © 2021 UTHM Publisher. All rights reserved.
ABSTRACT
With the advancement of ICT in the 21st century, ICT adopted education environment and teaching approaches are introduced in higher education setting globally. In the year of 2020 when global education sector encountered unprecedent difficult phenomena in Covid-19 Pandemic, teachers, students, and education administrators had to familiar with the terminology of online platform, hybrid learning and Flipped Learning (FL). With this strong intervention of ICT into the Education setting, this study aims to explore the students' experience and perception toward the FL by analyzing and interpreting interview data from the qualitative studies on FL between 2014 and 2020. This study conducted text mining analysis, and topic modeling method from the selected 102 SSCI and Scopus level research articles on FL. The result of the study categorized the findings from the pure text analysis into three latent topics for the FL which were 'teacher and classroom', 'motivation and students' growth', 'educational needs and difficulties. From the result, the study confirmed the other two topics which are related to student' experience and characteristics such as growth of motivation, practical challenges, and difficulties from the FL experience. The result indicates that teachers need to give attentive attention and observation to the challenges that students are encountering during the classroom activities in FL setting.
ABSTRACT
Amid the pandemic COVID-19, the world is facing unprecedented infodemic with the proliferation of both fake and real information. Considering the problematic consequences that the COVID-19 fake-news have brought, the scientific community has put effort to tackle it. To contribute to this fight against the infodemic, we aim to achieve a robust model for the COVID-19 fake-news detection task proposed at CONSTRAINT 2021 (FakeNews-19) by taking two separate approaches: 1) fine-tuning transformers based language models with robust loss functions and 2) removing harmful training instances through influence calculation. We further evaluate the robustness of our models by evaluating on different COVID-19 misinformation test set (Tweets-19) to understand model generalization ability. With the first approach, we achieve 98.13% for weighted F1 score (W-F1) for the shared task, whereas 38.18% W-F1 on the Tweets-19 highest. On the contrary, by performing influence data cleansing, our model with 99% cleansing percentage can achieve 54.33% W-F1 score on Tweets-19 with a trade-off. By evaluating our models on two COVID-19 fake-news test sets, we suggest the importance of model generalization ability in this task to step forward to tackle the COVID-19 fake-news problem in online social media platforms. © 2021, Springer Nature Switzerland AG.