• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.175-181
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• 2022

COVID-19 is an acute respiratory syndrome that affects the host's breathing and respiratory system. The novel disease's first case was reported in 2019 and has created a state of emergency in the whole world and declared a global pandemic within months after the first case. The disease created elements of socioeconomic crisis globally. The emergency has made it imperative for professionals to take the necessary measures to make early diagnoses of the disease. The conventional diagnosis for COVID-19 is through Polymerase Chain Reaction (PCR) testing. However, in a lot of rural societies, these tests are not available or take a lot of time to provide results. Hence, we propose a COVID-19 classification system by means of machine learning and transfer learning models. The proposed approach identifies individuals with COVID-19 and distinguishes them from those who are healthy with the help of Deep Visual Embeddings (DVE). Five state-of-the-art models: VGG-19, ResNet50, Inceptionv3, MobileNetv3, and EfficientNetB7, were used in this study along with five different pooling schemes to perform deep feature extraction. In addition, the features are normalized using standard scaling, and 4-fold cross-validation is used to validate the performance over multiple versions of the validation data. The best results of 88.86% UAR, 88.27% Specificity, 89.44% Sensitivity, 88.62% Accuracy, 89.06% Precision, and 87.52% F1-score were obtained using ResNet-50 with Average Pooling and Logistic regression with class weight as the classifier.

• 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 Preventive Medicine and Public Health
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• v.54 no.1
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• pp.17-21
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• 2021

In 2020, the coronavirus disease 2019 (COVID-19) pandemic has caused unprecedented disruptions to global health systems. The Korea has taken full-fledged actions against this novel infectious disease, swiftly implementing a testing-tracing-treatment strategy. New obligations have therefore been given to the Health Insurance Review and Assessment Service (HIRA) to devote the utmost effort towards tackling this global health crisis. Thanks to the universal national health insurance and state-of-the-art information communications technology (ICT) of the Korea, HIRA has conducted far-reaching countermeasures to detect and treat cases early, prevent the spread of COVID-19, respond quickly to surging demand for the healthcare services, and translate evidence into policy. Three main factors have enabled HIRA to undertake pandemic control preemptively and systematically: nationwide data aggregated from all healthcare providers and patients, pre-existing ICT network systems, and real-time data exchanges. HIRA has maximized the use of data and pre-existing network systems to conduct rapid and responsive measures in a centralized way, both of which have been the most critical tactics and strategies used by the Korean healthcare system. In the face of new obligations, our promise is to strive for a more responsive and resilient health system during this prolonged crisis.

• Journal of Industrial Convergence
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• v.20 no.8
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• pp.97-107
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• 2022

This study was performed to understand the meaning and essence of class experience of nursing students in the post-COVID 19 age. The participants in this study were 10 enrolled students from freshman to senior students who experienced the face-to-face and contactless classes during four semesters after the COVID-19 pandemic. The data collection period was from December 9 to December 30, 2021. The collected data was analyzed by applying the Colaizzi method. According to the study result, 25 themes, 13 collections of the themes, and six categories were drawn. The six categories were as follows: vagueness of the future, Lack of confidence in nursing practice, Class system stabilization, Acceptance and adaptation of situations, Have a sense of vocational calling as a pre-registration nurses, Finding the direction to improvement of contactless classes. The nursing students' understanding of class experience at present two years after the outbreak of COVID-19 can be used as basic data to seek future educational direction strategy and enhance future education quality.

• Journal of Korean Academy of Nursing
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• v.52 no.1
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• pp.36-51
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• 2022

Purpose: The purpose of this study was to examine the effects of electroencephalogram (EEG) biofeedback training for emotion regulation and brain homeostasis on anxiety about COVID-19 infection, impulsivity, anger rumination, meta-mood, and self-regulation ability of late adolescents in the prolonged COVID-19 pandemic situation. Methods: A non-equivalent control group pretest-posttest design was used. The participants included 55 late adolescents in the experimental and control groups. The variables were evaluated using quantitative EEG at pre-post time points in the experimental group. The experimental groups received 10 sessions using the three-band protocol for five weeks. The collected data were analyzed using the Shapiro-Wilk test, Wilcoxon rank sum test, Wilcoxon signed-rank test, t-test and paired t-test using the SAS 9.3 program. The collected EEG data used a frequency series power spectrum analysis method through fast Fourier transform. Results: Significant differences in emotion regulation between the two groups were observed in the anxiety about COVID-19 infection (W = 585.50, p = .002), mood repair of meta-mood (W = 889.50, p = .024), self-regulation ability (t = - 5.02, p < .001), self-regulation mode (t = - 4.74, p < .001), and volitional inhibition mode (t = - 2.61, p = .012). Neurofeedback training for brain homeostasis was effected on enhanced sensory-motor rhythm (S = 177.00, p < .001) and inhibited theta (S = - 166.00, p < .001). Conclusion: The results demonstrate the potential of EEG biofeedback training as an independent nursing intervention that can markedly improve anxiety, mood-repair, and self-regulation ability for emotional distress during the COVID-19 pandemic.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.5
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• pp.793-802
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• 2023

The aim of this study analyzed changes in dietary habits and lifestyles before and after COVID-19 targeting adolescents, using the food consumption behavior survey (2019 vs 2021). In the change in health-related factors, height decreased overall, and a significant difference was especially evident in males. Awareness that functional foods and eco-friendly foods contribute to health has increased. Among the results of dietary behavior, the frequency of skipping breakfast showed that the rate of not skipping breakfast and the rate of skipping breakfast more than 5 times increased at the same time(p=0.019). The rate of eating out decreased significantly after COVID-19, and it was analyzed that schools and school cafeteria, as well as Street carts or restaurants and academy, all increased significantly as places where snacks were not consumed. In order to analyze changes in food-related lifestyle, it was grouped into convenience-seeking, quality/safety-seeking, taste-seeking, and health/safety-seeking. 'Small packaged or pre-processed products' decreased. On the other hand, items such as 'Safety rather than price when choosing food' and 'Don't eat food that could go bad' improved. 'Tend to eat regularly' was higher than 2021 compared to 2019. Also 'Tend to purchase HACCP and GAP-certified products' are increased. Because of COVID-19 changes in lifestyle have affected the diet of adolescents. The results of this study suggest that it can be used as a guideline establishment and nutrition counseling material for the formation of correct eating habits for adolescents in the future pandemic era.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.1-7
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• 2021

The study examines the influence of COVID-19 on the stock market returns of Saudi Arabia. The data was analyzed through event study methodology using daily price data of Tadawul All Share Index (TASI). The study examines the behavior pattern of the Saudi Arabian stock market in different phases during the event period by selecting six-event windows with a range of 10 days. The results report a negative Abnormal Return (AR) of -0.003 on the event date, while the abnormal returns reversed the next day to 0.005 positively. The result of Cumulative Abnormal Return (CAR) is negative and significant at the 1 percent level in all the six-event windows starting from the event date to day 59 after the event for the TASI index. Even though the influence of the COVID-19 pandemic decreased after 30 days of the event date, it increased during the last ten days of the event window. The stock market volatility of Saudi Arabia increased during the post-event period compared to the pre-event period with a negative mean return of -0.326 and a greater standard deviation. In a conclusion, the study found a significant influence of the COVID-19 pandemic on the stock market returns of TASI.

• Journal of Information Technology Services
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• v.20 no.6
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• pp.125-139
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• 2021

To explore college students' course satisfaction over the course of the semester during which a full-scale digital transformation was in progress due to COVID-19 pandemic, this study analyzed student survey data from a university located in the metropolitan area. To minimize the respondents' burden to answer long list of detailed questions in repetition, the study utilized a pulse survey method and students were asked to answer a brief and regular set of online questions 5 times throughout the semester. The number of survey respondents ranged from 1,640 to 4,116, with an average of more than 3,700. The main results and implications of this study are summarized as follows. First, the survey data indicated that the overall student satisfaction with online courses was above average (3.46/5). Vast majority of students have chosen pre-recorded, contents-based course over real-time, video-based course as their preferred course delivery method and this tendency remained the same throughout the semester. Second, the results of keyword network analysis of open-ended questions indicated that technical issues, increased workload (e.g., course assignments and course attendance) were main causes of online course dissatisfaction. And students suggested an unified online course platform and more interactive course design to further improve online courses in the future.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.36-40
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• 2022

Many parts of life have been changed due to the unprecedented coronavirus outbreak, and Noncontact has now become a general culture of society around the world. Also, many years later, after the Fourth Industrial Revolution, it is now deeply embedded in the human lifestyle. The purpose of this paper's research is to investigate the metaverse perception before and after Corona. It was confirmed that the number of metaverse, the central keyword, was 70971 before Corona, but 261767 after Corona, which was more than three times the frequency. In addition, it was confirmed that the number of COVID-19, the reference point of this study, increased significantly to 1,9236 during the pre-COVID-19 period. Through this, it can be inferred that the metaverse accelerated and developed significantly after the corona. Metaverse about Keywords such as cryptocurrency, cryptocurrency, coin, and exchange appeared before Corona, and the word frequency ranking for blockchain, which is an underlying technology, was high, but after Corona, the word frequency ranking fell significantly as mentioned above. As such, it was confirmed that keywords for metaverse were changing before and after Corona, and as such, Consumers' perceptions were also changing.

• Journal of Preventive Medicine and Public Health
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• v.56 no.6
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• pp.515-522
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• 2023

Objectives: The pandemic caused by coronavirus disease 2019 (COVID-19) has exerted an unprecedented impact on the health of populations worldwide. However, the adverse health consequences of the pandemic in terms of infection and mortality rates have varied across countries. In this study, we investigate whether COVID-19 mortality rates across a group of developed nations are associated with characteristics of their healthcare systems, beyond the differential policy responses in those countries. Methods: To achieve the study objective, we distinguished healthcare systems based on the extent of healthcare decommodification. Using available daily data from 2020, 2021, and 2022, we applied quantile regression with non-additive fixed effects to estimate mortality rates across quantiles. Our analysis began prior to vaccine development (in 2020) and continued after the vaccines were introduced (throughout 2021 and part of 2022). Results: The findings indicate that higher testing rates, coupled with more stringent containment and public health measures, had a significant negative impact on the death rate in both pre-vaccination and post-vaccination models. The data from the post-vaccination model demonstrate that higher vaccination rates were associated with significant decreases in fatalities. Additionally, our research indicates that countries with healthcare systems characterized by high and medium levels of decommodification experienced lower mortality rates than those with healthcare systems involving low decommodification. Conclusions: The results of this study indicate that stronger public health infrastructure and more inclusive social protections have mitigated the severity of the pandemic's adverse health impacts, more so than emergency containment measures and social restrictions.