• The Journal of the Convergence on Culture Technology
• /
• v.6 no.3
• /
• pp.75-82
• /
• 2020

This study was attempted to identify differences in depression and psychological emotions according to the degree of self-elasticity of college freshmen in COVID-19. The survey was conducted online from April 6 to 13, 2020, and the results were analyzed using a total of 220 copies of the survey data, excluding insufficient surveys. As a result of the analysis, compared to the case where the self-elasticity is below average, the psychological emotion caused by COVID-19 as well as the depression of new students is statistically significant in all emotions such as anxiety, irritability, helplessness, anger, fear, confusion, and distrust. It was found to be higher. Based on these results, several roles and coping strategies were suggested to help students recover and maintain their psychological stability and mental health.

• Journal of Intelligence and Information Systems
• /
• v.27 no.1
• /
• pp.47-64
• /
• 2021

The global spread of COVID-19 around the world has not only affected many parts of our daily life but also has a huge impact on many areas, including the economy and society. As the number of confirmed cases and deaths increases, medical staff and the public are said to be experiencing psychological problems such as anxiety, depression, and stress. The collective tragedy that accompanies the epidemic raises fear and anxiety, which is known to cause enormous disruptions to the behavior and psychological well-being of many. Long-term negative emotions can reduce people's immunity and destroy their physical balance, so it is essential to understand the psychological state of COVID-19. This study suggests a method of monitoring medial news reflecting current days which requires striving not only for physical but also for psychological quarantine in the prolonged COVID-19 situation. Moreover, it is presented how an easier method of analyzing social media networks applies to those cases. The aim of this study is to assist health policymakers in fast and complex decision-making processes. News plays a major role in setting the policy agenda. Among various major media, news headlines are considered important in the field of communication science as a summary of the core content that the media wants to convey to the audiences who read it. News data used in this study was easily collected using "Bigkinds" that is created by integrating big data technology. With the collected news data, keywords were classified through text mining, and the relationship between words was visualized through semantic network analysis between keywords. Using the KrKwic program, a Korean semantic network analysis tool, text mining was performed and the frequency of words was calculated to easily identify keywords. The frequency of words appearing in keywords of articles related to COVID-19 emotions was checked and visualized in word cloud 'China', 'anxiety', 'situation', 'mind', 'social', and 'health' appeared high in relation to the emotions of COVID-19. In addition, UCINET, a specialized social network analysis program, was used to analyze connection centrality and cluster analysis, and a method of visualizing a graph using Net Draw was performed. As a result of analyzing the connection centrality between each data, it was found that the most central keywords in the keyword-centric network were 'psychology', 'COVID-19', 'blue', and 'anxiety'. The network of frequency of co-occurrence among the keywords appearing in the headlines of the news was visualized as a graph. The thickness of the line on the graph is proportional to the frequency of co-occurrence, and if the frequency of two words appearing at the same time is high, it is indicated by a thick line. It can be seen that the 'COVID-blue' pair is displayed in the boldest, and the 'COVID-emotion' and 'COVID-anxiety' pairs are displayed with a relatively thick line. 'Blue' related to COVID-19 is a word that means depression, and it was confirmed that COVID-19 and depression are keywords that should be of interest now. The research methodology used in this study has the convenience of being able to quickly measure social phenomena and changes while reducing costs. In this study, by analyzing news headlines, we were able to identify people's feelings and perceptions on issues related to COVID-19 depression, and identify the main agendas to be analyzed by deriving important keywords. By presenting and visualizing the subject and important keywords related to the COVID-19 emotion at a time, medical policy managers will be able to be provided a variety of perspectives when identifying and researching the regarding phenomenon. It is expected that it can help to use it as basic data for support, treatment and service development for psychological quarantine issues related to COVID-19.

• Journal of Popular Narrative
• /
• v.27 no.2
• /
• pp.45-77
• /
• 2021

The aftermath of the COVID-19 virus continues. There are two potential fears behind the various preventive and quarantine measures. : the fear that "I may be infected" and the fear that "someone may infect me". This subconscious is built on the 'imagination of infection'. This paper attempted to analyze science fiction(SF) narratives and zombie narratives that influenced our imagination of infection. And this paper attempts to examine how SF novels and movies understand and express "infection", and how zombie narratives reveal "infection" and its horror. Mary Shelley's novel "The Last Man" revealed the paradox that the fear of an infectious disease gave humanity an opportunity for reflection. The films and showed that fear and aversion to infectious diseases can lead to riots and conflict. Zombie narrative is a genre that most dramatically expresses the horror of infection. Director Yeon Sangho's zombie trilogy, including , reveals that people around you can turn into the most dangerous source of infection. Through SF and zombie narratives, we can realize that humanity must have a humble sense of solidarity, ethics, and empathy in the face of infectious diseases. Through this narrative texts, we can realize the importance of the imagination of infection. Imagination of infection is the basis for understanding the causes and consequences of the spread of infection, the process and future prospects.

• Journal of The Korean Society of Integrative Medicine
• /
• v.10 no.3
• /
• pp.151-159
• /
• 2022

Purpose : The purpose of this study was to investigate the structural relationships between fear of missing out, addictive tendencies toward social network services (SNSs), and depression in colleges. Methods : The target subjects were students in colleges across gyeongnam & busan, to whom the purpose of the study was explained and who spontaneously agreed to participate. A survey was conducted with 302 participants over 31 days from March 7, 2022, and data from 299 responses was analyzed. Results : 1. Women felt a higher fear of missing out than men. 2. Women showed greater inability to control their use of SNSs, more SNS-related disorders in daily life, and greater immersion in and tolerance of SNSs when compared to men. 3. Women were more depressed than men. 4. Positive correlations were observed between the fear of missing out and SNS-addictive tendencies, between the fear of missing out and depression, and between SNS-addictive tendencies and depression. Conclusion : A comprehensive review of these findings suggests that women had overall higher levels of isolation fear, SNS-addictive tendencies, and depression than men. Based on this, universities should provide gender-specific educational programs around these issues; this student cohort will ultimately work in healthcare, and this kind of awareness will be essential for treating patients. Considering that the current situation poses unusual challenges due to the COVID-19 pandemic, the study's results can serve as basic data for planning educational programs in the future. Over the coming years, comprehensive and continuous education and counselling relating to the fear of missing out, SNS addiction, and depression will be urgently required.

• International Journal of Advanced Culture Technology
• /
• v.8 no.4
• /
• pp.279-286
• /
• 2020

This study was a phenomenological qualitative research that analyzed the experiences of Korean students studying in Korea after the COVID-19 incident. Participants in this study consisted of 22 international students aged 20 to 40 attending the International Exchange Center at C University. The interview period was from September 10, 2020 to October 10, 2020. Giogi qualitative research method was used to analyze vivid experiences of international students. As a result of the analysis, 26 semantic units, 7 subcomponents were derived. The description of the general structure sentence of phenomenology was a description of the meaning of experience from the perspective of participants, and the context and structure descriptions were integrated. The results of this study showed that: The students who came to Korea to study were concerned about Korea in various ways, but they had to adjust to unexpected changes in education methods, anxious about the unexpected COVID-19 disaster. Participants chose to study in Korea based on existing information, so they felt anxiety, regret, fear, and frustration over sudden changes, but taking online classes helped them learn repeatedly and voluntarily became an experience that suited their learning speed. As commuting time has decreased, they were more opportunities to make money in Korea also. Based on the results of this study, the following is suggested: First, the government should establish systematic online infection prevention measures for international students who have poor Korean language skills in preparation for unexpected disasters. Second, non-face-to-face teaching methods should be prepared with the same weight in the face-to-face teaching methods that have been carried out so far in preparation for unexpected disasters.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.5
• /
• pp.1377-1393
• /
• 2023

Social media is used for various purposes including entertainment, communication, information search, and voicing their thoughts and concerns about a service, product, or issue. The social media data can be used for information mining and getting insights from it. The World Health Organization has listed COVID-19 as a global epidemic since 2020. People from every aspect of life as well as the entire health system have been severely impacted by this pandemic. Even now, after almost three years of the pandemic declaration, the fear caused by the COVID-19 virus leading to higher depression, stress, and anxiety levels has not been fully overcome. This has also triggered numerous kinds of discussions covering various aspects of the pandemic on the social media platforms. Among these aspects is the part focused on vaccines developed by different countries, their features and the advantages and disadvantages associated with each vaccine. Social media users often share their thoughts about vaccinations and vaccines. This data can be used to determine the popularity levels of vaccines, which can provide the producers with some insight for future decision making about their product. In this article, we used Twitter data for the vaccine popularity detection. We gathered data by scraping tweets about various vaccines from different countries. After that, various machine learning and deep learning models, i.e., naive bayes, decision tree, support vector machines, k-nearest neighbor, and deep neural network are used for sentiment analysis to determine the popularity of each vaccine. The results of experiments show that the proposed deep neural network model outperforms the other models by achieving 97.87% accuracy.

• Advances in Computational Design
• /
• v.7 no.4
• /
• pp.345-369
• /
• 2022

Infectious disease emergency hospitals are usually temporarily built during the pneumonia epidemic with higher requirements regarding diagnosis and treatment efficiency, hygiene and safety, and infection control.This study aims to identify how the Building Information Modeling (BIM) + Industrialized Building System (IBS) approach could rapidly deliver an infectious disease hospital and develop site epidemic spreading algorithms. Coronavirus-19 pneumonia construction site spreading algorithm model mind map and block diagram of the construction site epidemic spreading algorithm model were developed. BIM+IBS approach could maximize the repetition of reinforced components and reduce the number of particular components. Huoshenshan Hospital adopted IBS and BIM in the construction, which reduced the workload of on-site operations and avoided later rectification. BIM+IBS integrated information on building materials, building planning, building participants, and construction machinery, and realized construction visualization control and parametric design. The delivery of Huoshenshan Hospital was during the most critical period of the Coronavirus-19 pneumonia epidemic. The development of a construction site epidemic spreading algorithm provided theoretical and numerical support for prevention. The agent-based analysis on hospital evacuation observed "arched" congestion formed at the evacuation exit, indicating behavioral blindness caused by fear in emergencies.

• The Journal of the Convergence on Culture Technology
• /
• v.6 no.3
• /
• pp.135-143
• /
• 2020

This study was attempted to grasp the negative emotions of college freshmen in the COVID-19 situation and how to cope with them. The survey was conducted online from April 6 to 13, 2020, and the results were analyzed using a total of 220 copies of the survey data, excluding insufficient surveys. As a result of the analysis, the subject's negative emotion was the most frustrating, and the average value was highest in the order of helplessness, anxiety, and anger. As a result of verifying the differences according to gender, it was found that anxiety, lethargy, anger, fear, and confusion all experience statistically significantly more women than men. As a result of analyzing the correlation between the negative emotion of the subject and the method for resolving the negative emotion, the helplessness was found to have a significant negative correlation with the activities of talking with family, friends, and acquaintances. Showed statistically significant positive correlation. Based on these results, some practical methods that can be applied in universities are suggested.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.5
• /
• pp.941-949
• /
• 2023

In this paper, the purpose of this qualitative research was to explore the communication experiences of nursing students during their clinical practice in the context of the COVID-19 pandemic among 4th grade nursing students. Data collection involved collecting reflective journals from 87 4th grade nursing college students who participated in clinical practice from December 19, 2022, to February 10, 2023. Participants were asked to freely write about their experiences following their clinical practice. The reflective journals were analyzed using Thematic Analysis by Braun & Clarke. In the context of the COVID-19 pandemic, the research findings have yielded 142 meaningful statements, 30 provisional themes, 9 sub-themes, and 4 central themes regarding the communication experiences of nursing college students during their clinical practice. The four central themes identified are as follows: "A mask that became a language barrier", "Broken Communication", "Fear that the quality of nursing care will decline", "Body and mind overcoming difficulties." In conclusion, this study has facilitated an understanding of the communication experiences of nursing college students during clinical practice in the context of the COVID-19 pandemic. Additionally, this research can serve as foundational information for improving ineffective communication due to the use of various medical equipment required in infectious disease situations and for developing practical strategies in nursing education under infectious disease conditions.

• Journal of the Economic Geographical Society of Korea
• /
• v.25 no.3
• /
• pp.281-298
• /
• 2022

The COVID-19 pandemic has so far given the world a great shock and fear that cannot be compared to other infectious diseases, and local economies are experiencing a serious economic crisis accordingly. This paper examines the regional characteristics of economic recession and resilience due to the COVID-19 pandemic, focusing on the employment fluctuations in 85 cities nationwide. Although the overall trend is in line with national employment indicators, there are some differences in the shock response and the recovery of employment in individual cities. The difference between cities is somewhat greater in the resilience of the recovery stage than the resistance, which is the shock-response stage. In terms of resilience, cities in the capital area have relatively good condition compared to cities in the non-capital area. The weak resilience of large cities such as Seoul, which has a high population density, can be explained to be the effect of the COVID-19 pandemic of infectious diseases. Regarding the economic structure of the city, the ratio of service and sales workers, wholesalers and retailers, and food and lodging businesses are analyzed as valid explanatory variables for the resilience of cities.