• Journal of the korean academy of Pediatric Dentistry
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• v.50 no.4
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• pp.452-468
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• 2023

This study aims to investigate changes in dental service use among pediatric patients during the COVID-19 pandemic. The analysis was performed by collecting information about the number of visits, age, gender, diagnoses, and treatments for patients at the Pediatric Dentistry Department of Seoul National University Dental Hospital from January 2017 to December 2022. Compared with the period from 2017 to 2019, the total number of visits decreased during the COVID-19 pandemic, with a substantial decline in 2020. Patients in all age groups, except those aged 10 - 14, experienced decreased visits, and there was no significant gender difference. Z29.8 (need for other specified prophylactic measures) declined in all age groups, especially among those aged 0 - 4, except for those 20 years and older. K02.1 (caries of dentine) was sought by the age groups in the following order: 10 - 14, 15 - 19, 5 - 9, and 0 - 4 years, with the most significant decrease in the 0 - 4 years age group compared to others. K07.4 (malocclusion, unspecified) decreased in younger groups aged 9 and below but increased in older groups aged 10 and above. During the period from 2020 to 2022, preventive, restorative, pulp, and trauma treatments decreased, but surgical and orthodontic treatments increased compared with the previous three years. The use of sedation decreased and general anesthesia increased during COVID-19 compared to pre-pandemic. This study describes the impact of the COVID-19 pandemic on pediatric dentistry, making it a valuable reference for future pandemics.

• Journal of Industrial Convergence
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• v.20 no.10
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• pp.103-111
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• 2022

The purpose of this study was to identify the influencing factors on aging anxiety by middle-aged men in rural areas during the COVID-19 pandemics. The design of this study was descriptive survey study. The participants were 180 middle-aged men aged 45 to 64 living in G province. Collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and multiple regression analysis with SPSS statistics 26.0 program. As a result of regression analysis, As a result of regression analysis, influencing factors on aging anxiety were stress(β=.10, p=.004), economic difficulties (β=.16, p=.007), COVID-19 psychological distress(β=.18, p=.003), family care burdens(β=.50, p<.001), and the explanatory power of the variables was 60.5%(F=55.93, p<.001). In the future, interventions are needed to manage aging anxiety and stress in middle-aged men, and support policies are needed to reduce psychological distress and overcome economic difficulties caused by COVID-19.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.19-28
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• 2021

The present study aims to evolve the value cycle of e-business through value co-creation during the Coronavirus pandemic. The population of the study is experts consisting of university professors in the fields of marketing management, e-commerce, and managers of organizations and companies in Iran. Using the snowball sampling method, 50 of them were selected as the sample. This study employs the factor analysis method and structural equation modeling (SEM) approach for identification of the factors. The findings of this study reveal that 10 factors affect the evolution of the value chain into the value cycle, including customer relationship management, e-literacy, value co-creation, e-readiness, and integrated value creation, the logic of service dominance, shared value creation, virtual culture, e-trust, and network economics. Despite the difficulties that COVID-19 has created for businesses worldwide, the evolution of the e-business value cycle through value co-creation in the Coronavirus pandemic can be considered as a positive aspect of the pandemic. In fact, with more pandemics and more customers turning to e-businesses due to the co-creation of customer value, e-businesses can cover their weaknesses and improve their strengths by engaging customers and receiving their feedback, thus transforming their value chain into the value cycle.

• Economic Analysis
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• v.27 no.1
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• pp.67-90
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• 2021

This study found an interesting fact that the nonlinear relationship structure between volatility and trading volume changed before and after the COVID-19 pandemic according to empirical analysis using Bitcoin (BTC) market data that sensitively reflects investors' trading behavior. That is, their relationship appeared positive (+) in a stable market state before COVID-19 pandemic, as in theory based on the information flow paradigm. In a state under severe market stress due to COVID-19 pandemic, however, their dependence structure changed and even negative (-). This can be seen as a consequence of increased market stress caused by COVID-19 pandemics from a behavioral economics perspective, resulting in structural changes in the asset market and a significant impact on the nonlinear dependence of volatility and trading volume (in particular, their dependence at extreme quantiles). Hence, it should be recognized that in addition to information flows, psychological phenomena such as behavioral biases or herd behavior, which are closely related to market stress, can be a key in changing their dependence structure. For empirical analysis, this study performs a test of Ross (2015) for detecting a structural change, and proposes a Copula Regression Quantiles (CRQ) approach that can identify their nonlinear relationship structure and the asymmetric dependence in their distribution tails without the assumption of i.i.d. random variable. In addition, it was confirmed that when the relationship between their extreme values was analyzed by linear models, incorrect results could be derived due to model specification errors.

• International journal of advanced smart convergence
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• v.9 no.3
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• pp.78-84
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• 2020

Due to social distancing caused by COVID 19, music concerts have not been allowed at home and abroad, and it is not known when overseas concerts will be able to resume unless the pandemics calm down, even if they are available. Meanwhile, people consume much more content through online services such as Netflix and YouTube than before. Under these circumstances, the music industry expects the virtual livestreamed performance to restore sluggish live performances again and bring about a digital renaissance. It also leads to the issue of reestablishing a copyright system regarding a livestreamed performance and of preparing a new rate of royalty standards for the use of works in OTT. In addition, a multi-territorial licensing of r ights in musical works is necessary to resolve copyright issues efficiently by applying the same term s to all countries from where the audience comes. In this paper, I examine the legal nature and the decision of copyright fees of performances as an integral part of the music industry.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.26 no.3
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• pp.139-145
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• 2020

The purpose of this study is to share the experience of online education with departments related to the servic industry, such as distribution and logistics, in the New Normal Age of COVID-19 pandemics. The graduation presentation project, which is the capstone design subject and the most urgent subject for face-to-face classes, was selected as the online education subject of this study. The results of this study are as follows : First, several online class tools, such as Zoom, Microsoft Teams, and Google Meet, have also been shown to be applicable to capstone design subjects such as graduation presentation projects. Second, it is essential to reorganize the curriculum to enhance students' ability to practice and utilize online contents. Third, continuous education and training are needed to make easy use of the aforementioned online teaching tools. Meanwhile, fourth, further research is needed to solve the learning effects caused by online learning, and difficulties in communication.

• Journal of Preventive Medicine and Public Health
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• v.53 no.6
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• pp.397-404
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• 2020

Objectives: The objective of this study was to demonstrate the effects of community-based social distancing interventions after the first coronavirus disease 2019 (COVID-19) case in Turkey on the course of the pandemic and to determine the number of prevented cases. Methods: In this ecological study, the interventions implemented in response to the first COVID-19 cases in Turkey were evaluated and the effect of the interventions was demonstrated by calculating the effective reproduction number (R_t) of severe acute respiratory syndrome coro navirus 2 (SARS-CoV-2) when people complied with community-based social distancing rules. Results: Google mobility scores decreased by an average of 36.33±22.41 points (range, 2.60 to 84.80) and a median of 43.80 points (interquartile range [IQR], 24.90 to 50.25). The interventions caused the calculated R_t to decrease to 1.88 (95% confidence interval, 1.87 to 1.89). The median growth rate was 19.90% (IQR, 10.90 to 53.90). A positive correlation was found between Google mobility data and R_t (r=0.783; p<0.001). The expected number of cases if the growth rate had not changed was predicted according to Google mobility categories, and it was estimated to be 1 381 922 in total. Thus, community-based interventions were estimated to have prevented 1 299 593 people from being infected. Conclusions: Community-based social distancing interventions significantly decreased the R_t of COVID-19 by reducing human mobility, and thereby prevented many people from becoming infected. Another important result of this study is that it shows health policymakers that data on human mobility in the community obtained via mobile phones can be a guide for measures to be taken.

• Genomics & Informatics
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• v.19 no.1
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• pp.11.1-11.8
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• 2021

For the novel coronavirus disease 2019 (COVID-19), predictive modeling, in the literature, uses broadly susceptible exposed infected recoverd (SEIR)/SIR, agent-based, curve-fitting models. Governments and legislative bodies rely on insights from prediction models to suggest new policies and to assess the effectiveness of enforced policies. Therefore, access to accurate outbreak prediction models is essential to obtain insights into the likely spread and consequences of infectious diseases. The objective of this study is to predict the future COVID-19 situation of Korea. Here, we employed 5 models for this analysis; SEIR, local linear regression (LLR), negative binomial (NB) regression, segment Poisson, deep-learning based long short-term memory models (LSTM) and tree based gradient boosting machine (GBM). After prediction, model performance comparison was evelauated using relative mean squared errors (RMSE) for two sets of train (January 20, 2020-December 31, 2020 and January 20, 2020-January 31, 2021) and testing data (January 1, 2021-February 28, 2021 and February 1, 2021-February 28, 2021) . Except for segmented Poisson model, the other models predicted a decline in the daily confirmed cases in the country for the coming future. RMSE values' comparison showed that LLR, GBM, SEIR, NB, and LSTM respectively, performed well in the forecasting of the pandemic situation of the country. A good understanding of the epidemic dynamics would greatly enhance the control and prevention of COVID-19 and other infectious diseases. Therefore, with increasing daily confirmed cases since this year, these results could help in the pandemic response by informing decisions about planning, resource allocation, and decision concerning social distancing policies.

• Women's Health Nursing
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• v.28 no.3
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• pp.222-234
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• 2022

Purpose: This study investigated the changes in the health-related behaviors of adult women in Korea during the coronavirus disease 2019 (COVID-19) pandemic. Methods: Data from the eighth Korea National Health and Nutrition Examination Survey (2019-2020) were analyzed. The participants were 4,848 women aged 19 to 64 years in 2019 and 2020. Data analysis using the complex sampling design was performed using SPSS 20.1. Results: Positive changes during the pandemic compared to before the pandemic in Korean adult women were found for improved subjective oral health perceptions (odds ratio [OR], 1.77; p<.001), increased moderate-intensity exercise in work and leisure activities (OR, 1.75; p<.001 and OR; 1.29, p=.004), and a decrease in secondhand smoke exposure at the workplace and in public places (OR, 0.64; p=.004 and OR, 0.60; p<.001). However, the following negative health behavior changes were found: decreased frequency of walking 5 days a week (OR, 0.81; p=.011) and an increase in unhealthy daytime sleep durations (OR, 1.40; p=006). Conclusion: Compared to before the COVID-19 pandemic, Korean adult women perceived their subjective dental health more positively during the COVID-19 pandemic, decreased their exposure to secondhand smoke at work and in public places, decreased walking, and increased sleep duration during the week. Since this study only compared data between 1 year before and after the start of the pandemic, it is necessary to investigate a longer period of time in the future. A future study should attempt to identify the factors related to changes in health behaviors caused by the pandemic.

• The Journal of Korean Academic Society of Nursing Education
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• v.28 no.1
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• pp.57-69
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• 2022

Purpose: This study was performed to explore and describe the overall clinical practice adaptation experiences among nursing students during the COVID-19 pandemic. Methods: This qualitative study applied the grounded theory method by Corbin and Strauss. Data were collected from May to August 2021 through individual in-depth interviews with 14 nursing students from three universities in B metropolitan city. Results: From open coding, 20 sub-categories and 10 categories were identified. Analysis revealed that the core category was the process of "keeping the place of learning while adhering to the restrictions of the era of pandemic" and that it consisted of four phases: confusion, withdrawal, adjustment, and growth. Through this process, participants utilized various action/interactional strategies such as "shifting to positive thinking," "building a shield to protect oneself," and "focusing on learning." The consequences of these strategies were "adapting to the reality of the infectious disease situation" and "strengthening a foothold to grow as a future nurse." Conclusion: An in-depth understanding of nursing students' experiences of adapting to clinical practice during the COVID-19 pandemic will guide nursing educators to promote effective teaching strategies to better support nursing students in a time of infectious disease crisis.