• The Journal of the Korea Contents Association
• /
• v.20 no.12
• /
• pp.154-165
• /
• 2020

With a long-lasting pandemic of COVID-19, we have faced unprecedented socioeconomic threats. The regulation of human exchange has exposed us not only to the threat of health and medical care problems, but also to the burden of the contraction of economic activity. The outbreak of COVID-19 did give us an opportunity to reexamine the social safety net which has been prepared for such crisis situations. The current study, in this vein, aims to investigate the impact of evaluations of social safety nets on the trust in government and on individual willingness to accept tax increases. To this end, this study has explored the data from a survey conducted on 1,000 adult men and women across the country (South Korea) in May, 2020, when COVID-19 has entered a pandemic phase. The analysis result then has shown that the evaluation of social safety net after the outbreak of COVID-19 had a positive impact on the trust in the government, which in turn led to the increase of the willingness to accept tax increases. Moreover, the positive impact of trust in government on the willingness to accept tax increases has been more amplified when the income level was increased. These results could contribute to laying the theoretical foundation for restructuring the policies and systems for the post COVID-19 era.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.19 no.3
• /
• pp.13-25
• /
• 2023

This study analyzed the impact of expectations congruence, usefulness, ease of use, and interaction on the satisfaction of learners who participated in distance learning. For this purpose, a survey was conducted targeting students taking remote classes operated by universities after COVID-19. The survey was conducted online using learning management system notices and mobile notifications at the end of remote classes. The research results are as follows. First, expectation confirmation was found to have a significant effect on satisfaction. Second, usability was found to have no significant effect on satisfaction. Third, ease of use was found to have a significant effect on satisfaction. Fourth, interaction was found to have the greatest impact on satisfaction. This study analyzed the impact on satisfaction with university distance learning after COVID-19. Based on the research results, it is necessary to specify teaching strategies such as supporting a distance learning environment optimized for learners and strengthening interaction.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.12
• /
• pp.83-91
• /
• 2020

This study aims to identify research topics and examine the trend of Covid19-related papers on DBpia. Applying latent Dirichlet allocation (LDA), we have extracted seven research topics, each of which concerns "International Dynamics", "Technology & Security", "Psychological Impact", "Biomedical-Related", "Economic Impact", "Online Education", and "Religion-Related". In addition, we used the multinomial logistic model to examine the trend of research topics. We found that the papers mainly cover topics related to "International Dynamics" and "Biomedical-Related" before June 2020, but the topics have become diverse since then. In particular, topics regarding "Economic Impact", "Online Education" and "Psychological Impact" has drawn increased attention of researchers. The findings would provide a guideline for collaboration in Covid19-related research, and could serve as a reference work for active research.

• Journal of the Korean Society of School Health
• /
• v.36 no.3
• /
• pp.103-112
• /
• 2023

Purpose: The COVID-19 pandemic, which emerged in late 2019, had a profound impact on global public health and disrupted the daily lives of people worldwide. Particularly, university students faced a challenging situation as their university life underwent a drastic transformation due to long-term remote learning and isolation measures. This study aimed to investigate the relationship between changes in daily life during the 2020 COVID-19 pandemic and depressive symptoms among university students aged between 19 and 29 in Korea. Methods: We analyzed data from the nationally representative 2020 Community Health Survey (CHS). Among the 229,269 participants, 9,279 university students aged 19-29, either enrolled or on leave, were selected. After excluding 401 cases with missing values, the final sample comprised 8,878 individuals. Using multivariate logistic regression with a complex sample design, we explored the association between daily life changes during the COVID-19 pandemic and depressive symptoms. Results: Changes in daily life during the COVID-19 pandemic was associated with depressive symptoms in Korean university students aged 19 to 29, even after adjusting for sociodemographic characteristics, health-related factors, and COVID-19-related aspects (OR=1.28, 95% CI=1.09~1.50). Conclusion: Our study suggests that when examining the impact of COVID-19 on health issues, it is crucial to consider the changes in daily life caused by the pandemic. These findings can provide insights into the psychological well-being of university students during times of crisis.

• Korean Circulation Journal
• /
• v.52 no.11
• /
• pp.808-813
• /
• 2022

Studies showing that coronavirus disease 2019 (COVID-19) is associated with an increased risk of cardiovascular disease continue to be published. However, studies on how long the overall cardiovascular risk increases after COVID-19 and the magnitude of its long-term effects have only been confirmed recently. This is partly because the distinction between cardiovascular risk as an acute complication of COVID-19 or post-acute cardiovascular manifestations is ambiguous. Long-COVID has arisen as an important topic in the second half of the pandemic. This term indicates that symptoms persist for more than two 2 months; following three months of SARS-CoV-2 infection and cannot be explained by other medical conditions. Despite the agreement of these international organizations and experts, it is difficult to define whether there is sufficient medical evidence to prove the existence of long-COVID. However, the Korean government and Korea Disease Control and Prevention Agency (KDCA) are preparing a new platform to assess the long-term impact of COVID-19. Using this data, a prospective cohort of 10,000 confirmed COVID-19 cases will be established. This cohort will be linked with claims data from the National Health Insurance Services (NHIS) and it is expected that increased real-world evidence of long-COVID will be accumulated.

• Journal of Industrial Convergence
• /
• v.21 no.2
• /
• pp.17-23
• /
• 2023

The purpose of this study is to identify the major research trends of COVID-19 in recent times. In addition, we would like to use SCOPUS, an overseas academic database provided by Elsevier, to understand the research trends of COVID-19 in the last three years (2020-2022). As a result of frequency analysis, covid 7,248 cases, pandemic 4,974 cases, study 3,313 cases, research 2,137 cases, crisis 1,777 cases appeared in order of importance. As a result of the trend analysis, we found that studies on covid and pandemic are progressing steadily, but those on study, research, and crisis have decreased somewhat recently. As a result of LDA topic modeling analysis, the important topics were found to be 'covid19, pandemic'. This shows that research on COVID-19 is important not only in everyday life, but also in companies and organizations, and therefore in other academic fields besides medicine. When (the study of)COVID-19 becomes more important than ever, there seems to be an ongoing interest in the impact and ramifications of COVID-19 research.

• Journal of Industrial Convergence
• /
• v.22 no.6
• /
• pp.51-59
• /
• 2024

The purpose of the paper is to suggest government policies that are practically helpful to small business owners in pandemic situations such as COVID-19. To this end, keyword frequency analysis and word cloud analysis of text mining analysis were performed by crawling news articles centered on the keywords "COVID-19 Support for Small Businesses", "The Impact of Small Businesses by Response System to COVID-19 Infectious Diseases", and "COVID-19 Small Business Economic Policy", and major issues were identified through LDA topic modeling analysis. As a result of conducting LDA topic modeling, the support policy for small business owners formed a topic label with government cash and financial support, and the impact of small business owners according to the COVID-19 infectious disease response system formed a topic label with a government-led quarantine system and an individual-led quarantine system, and the COVID-19 economic policy formed a topic label with a policy for small business owners to acquire economic crisis and self-sustainability. Focusing on the organized topic label, it was intended to provide basic data for small business owners to understand the damage reduction policy for small business owners and the policy for enhancing market competitiveness in the future pandemic situation.

• Journal of Venture Innovation
• /
• v.5 no.4
• /
• pp.157-178
• /
• 2022

The economy has deteriorated worldwide due to COVID-19, and the domestic economy has also been hit hard. Accordingly, the government implemented unprecedented financial support policies related to COVID-19 to solve the financial difficulties experienced by SMEs. In addition, as the spread of COVID-19 continued, the government implemented guidelines and measures along with recommendations for non-face-to-face contact. Organizations in the public and private sectors have introduced non-face-to-face work methods. Considering this situation, this study investigated the impact of COVID-19-related financial support policies on technological innovation of SMEs. External support is important for corporate innovation, but internal capabilities are also important. Therefore, the effect of entrepreneurship on product innovation was identified. In addition, as the non-face-to-face work method was activated, the effect of smart work was identified by comparing companies that introduced smart work and companies that did not. As a result of the analysis, entrepreneurship showed a positive (+) effect regardless of the introduction of smart work. Financial support policies related to COVID-19 were found to show mixed results according to the type of support.

• KDI Journal of Economic Policy
• /
• v.43 no.2
• /
• pp.103-123
• /
• 2021

This paper examines the impact of the regional cash subsidies which were granted in some districts in addition to the national universal stimulus payment in South Korea related to the COVID-19 pandemic. We evaluate the effects of the cash distribution per resident on aggregate credit and debit card sales and sales by industry using the difference-in-difference method. The increment in card spending due to the cash subsidy is about 1.58%p in total, and this effect is concentrated within a single month. The consumption stimulating effect is prominent among (semi)-durable goods that do not require close interactions between customers and sellers. In contrast, the effect is relatively small in the high-contact face-to-face service sectors and restaurants, areas the COVID-19 pandemic hit directly. On the other hand, some service sectors where customers could wear face masks, such as education and fitness, experienced a substantial sales boost due to the cash subsidy.

• International Journal of Computer Science & Network Security
• /
• v.21 no.12spc
• /
• pp.657-663
• /
• 2021

The main purpose of the study is to analyze the information aspects of the impact of COVID-19 on the labor market in the EU and Ukraine. In addition to studying the key parameters of changes in the labor market under the influence of COVID-19, i.e. the unemployment rate and the share of the employed population, a thorough study of gender equality, labor migration and the impact on youth made it possible to characterize the effectiveness of the policy of stabilization and restoration of the labor market in the EU and Ukraine. The results obtained form the necessary information basis for modeling labor market regulation in the event of possible subsequent disturbances, in particular under the influence of global pandemics.