• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.171-179
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• 2023

This study was conducted to evaluate the association between knowledge of Coronavirus disease 2019 (COVID-19), perception of infection control and practice of infection control among dental hygienists. The questionnaires consisted of 9 demographic questions, 10 questions about COVID-19 knowledge, and 36 questions about perception and practice of infection control. The study analyzed 120 participants' data gathered from May 1 to May 31, 2021. For data analysis, T-test, ANOVA, and Pearson correlation were used. As a result, COVID-19 knowledge was 6.59 out of 10, the perception of infection control was 3.57 out of 4 and the practice of infection control was 3.55 out of 4. The COVID-19 knowledge(r=0.485) and perception of infection control(r=0.614) were significantly positively related to practice of infection control. To improve the practice of infection control in the dental field, education of infection control should be mandatory for dental hygienists. Also, the practice of infection control following "Dental Infection Control Standard Policy & Procedure" must be mandatory.

• Journal of Korea Port Economic Association
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• v.38 no.4
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• pp.187-198
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• 2022

This study attempted to examine whether the spread of infectious diseases and quarantine measures such as border blockade and restrictions on movement due to the global spread of the COVID-19 pandemic is the cause of a decrease in product trade. To this end, a gravity model analysis was conducted using commodity trade statistics from Korea and major trading partners. As a result of the analysis, it was empirically confirmed that in 2020, the time of the spread of COVID-19, the influence of the COVID-19 pandemic was an obstacle to reducing Korea's trade. However, in the case of 2021, it was not possible to confirm whether the impact of the pandemic had a significant effect on commodity trade. As the impact of the COVID-19 pandemic in 2020 and 2021 is different, the commodity trade situation in 2022 when the COVID-19 epidemic is stably managed is also likely to change. Since factors such as response to COVID-19 and the spread of vaccines vary from country to country, it is thought that such various factors should be fully considered in the process of establishing policies to end the COVID-19 era

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.149-163
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• 2021

The 4th industrial revolution refers to the next-generation industrial revolution led by information and communication technologies such as artificial intelligence (AI), Internet of Things (IoT), robot technology, drones, autonomous driving and virtual reality (VR) and it also has made a significant impact on the development of the advertising industry. However, the world is rapidly changing to a non-contact, non-face-to-face living environment to prevent the spread of COVID 19. Accordingly, the role of the 4th industrial revolution and advertising is changing. Therefore, in this study, text analysis was performed using Big Kinds to examine the 4th industrial revolution and changes in advertising before and after COVID 19. Comparisons were made between 2019 before COVID 19 and 2020 after COVID 19. Main topics and documents were classified through LDA topic model analysis and Word2vec, a deep learning technique. As the result of the study showed that before COVID 19, policies, contents, AI, etc. appeared, but after COVID 19, the field gradually expanded to finance, advertising, and delivery services utilizing data. Further, education appeared as an important issue. In addition, if the use of advertising related to the 4th industrial revolution technology was mainstream before COVID 19, keywords such as participation, cooperation, and daily necessities, were more actively used for education on advanced technology, while talent cultivation appeared prominently. Thus, these research results are meaningful in suggesting a multifaceted strategy that can be applied theoretically and practically, while suggesting the future direction of advertising in the 4th industrial revolution after COVID 19.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.301-313
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• 2021

This study was conducted on 253 artists for a month from April 19, 2020 to study the influence and countermeasures of COVID-19. The analysis results are as follows. First, as a result of frequency analysis, the timing of the occurrence of COVID-19 and the period of the decrease in artist's artistic activities were consistent, and the subjective socioeconomic level perceived by the artist was degraded from COVID-19. Second, as a result of the multivariate variance analysis, the income level and employment environment of artists affected the variables associated with COVID-19. Third, as a result of the hierarchical analysis analysis, the income level and the socioeconomic level changes due to COVID-19, and concerns about COVID-19 infections, have been shown to have had a significant impact on the level of stress felt by artists. Fourth, as a result of qualitative research, the artist reported that he was experiencing economic and psychological difficulties due to the influence of COVID-19, and emphasized the need for policy support as a way to cope with them. We hope that the results of this study will be used as empirical data in the process of developing support systems and programs for artists experiencing economic constraints and social alienation due to COVID-19.

• Pediatric Infection and Vaccine
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• v.29 no.1
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• pp.16-27
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• 2022

In Korea, children aged 5 to 11 have been vaccinated against coronavirus disease 2019 (COVID-19) from March 2022. Due to this age group not being at a high risk of developing severe COVID-19 symptoms, each major country has different, circumstance dependent, immunization policies for children. In this review, the COVID-19 vaccination policies for 5-11 years old children in major countries were reviewed and considerations were presented for Korea, where children 5-11 years old are starting to get vaccinated against COVID-19.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.3
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• pp.93-114
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• 2021

COVID-19 has been affecting the library, not to mention society as a whole. Especially, there are many changes in the role and service of the university libraries as all the classes of the universities are turned into non-face-to-face and the use of the university libraries is restricted. The changes in users' use of information and communication behavior due to COVID-19 could be an opportunity for new utilization of human and material resources the university libraries have and for the development of services. However, on the contrary, the university libraries could face another crisis if they fail to respond appropriately to current changes. Therefore, it is necessary to grasp, analyze the impact of COVID-19 and plan how to respond. A survey on the effects of COVID-19 and the response of the university libraries and the perceptions of the university libraries found that most university libraries are responding appropriately to COVID-19. However, a survey on the perceptions of the present and future of the university libraries under COVID-19 showed that many survey respondents think COVID-19 would have a negative impact on the university libraries. This means that the changes caused by COVID-19 are causing a crisis and anxiety in the university libraries. Therefore, by working hard together, the university libraries need to present the university libraries' new role, service and direction in the post-COVID-19 era as well as responding to the current situation.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.3
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• pp.303-319
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• 2021

This study sought to find out the status of medical libraries in Korea that provide information services related to the Covid-19 situation, and how the librarian's perception of the Covid-19 situation, the main body of the library's information provision, affects the provision of related information services. For this purpose, we checked the website for Covid-19 information service. In order to understand the degree of awareness of Covid-19, Grunig's Situational Theory was applied to classify four types of librarians according to the degree of problem recognition, constraint recognition, and involvement recognition, and to analyze how the three perceptions affect Covid-19 related information services. As a result, only 25 out of 144 korean medical libraries provided information services related to Covid-19. The librarian, the main agent of the library's information provision, found that the problem recognition and involvement recognition in the Covid-19 situation were high, constraint recognition were low, and the level of information service was very active. And only constraint recognition has been shown to have a significant impact on providing Covid-19 related information services. Further research when future sources are available and follow-up research on how librarians' perceptions affect library operations are also proposed.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.9
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• pp.387-398
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• 2023

The COVID-19 outbreak has significantly impacted human lifestyles and patterns. It was recommended to avoid face-to-face contact and over-crowded indoor places as much as possible as COVID-19 spreads through air, as well as through droplets or aerosols. Therefore, if a person who has contacted a COVID-19 patient or was at the place where the COVID-19 patient occurred is concerned that he/she may have been infected with COVID-19, it can be fully expected that he/she will search for COVID-19 symptoms on Google. In this study, an exploratory data analysis using deep learning models(DNN & LSTM) was conducted to see if we could predict the number of confirmed COVID-19 cases by summoning Google Trends, which played a major role in surveillance and management of influenza, again and combining it with data on the number of confirmed COVID-19 cases. In particular, search term frequency data used in this study are available publicly and do not invade privacy. When the deep neural network model was applied, Seoul (9.6 million) with the largest population in South Korea and Busan (3.4 million) with the second largest population recorded lower error rates when forecasting including search term frequency data. These analysis results demonstrate that search term frequency data plays an important role in cities with a population above a certain size. We also hope that these predictions can be used as evidentiary materials to decide policies, such as the deregulation or implementation of stronger preventive measures.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.787-793
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• 2022

After COVID-19, with the emergence of social distancing, non-face-to-face services, and home economics, visiting dining out is rapidly being replaced by non-face-to-face dining out. The purpose of this study is to find ways to create a safe dining culture centered on living quarantine in line with the changing trend of the restaurant industry after the outbreak of COVID-19, establish the direction of food culture improvement projects, and enhance the effectiveness of the project. This study used TEXTOM to collect and refine search frequency, perform TF-IDF analysis, and Ucinet6 programs to implement visualization using NetDraw from January 1, 2018 to October 31, 2019 and December 31, 2021, and identified the network between nodes of key keywords. Finally, clustering between them was performed through Concor analysis. As a result of the study, if you check the frequency of searches before and after COVID-19, it can be seen that the COVID-19 pandemic greatly affects the changes in the restaurant industry.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.62-70
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• 2021

2020 was a year in which the world spent in disorder due to the pandemic of Coronavirus infection-19(COVID-19). The pandemic was at the beginning of a turning point in history. For examples, the Black Death(Pest) that destroyed the feudal system of medieval Europe in the 14th century, smallpox that led to the destruction of the Inca Empire by Spain in the 17th century, and the Spanish flu that ended World War I early. The great transformation that will come after COVID-19 is presented from various fields and perspectives, but the understanding and direction of the transformation is ambiguous. This study attempts to derive and to analyze core terms based on a network of the future of globalization after COVID-19. Four Networks related to globalization, anti-globalization, and globalization and digitalization after COVID-19 were established respectively. A network integrating four networks was also constructed. The core terms were extracted from the hub nodes, the stress centrality, and the simplified network to which the K-core algorithm was applied. After COVID-19, the changes in globalization were analyzed from the extracted core terms. This study is thought to be meaningful to propose a method of deriving and analyzing core terms based on a network in understanding social changes after COVID-19.