• 대한영양사협회학술지
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• 제28권2호
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• pp.143-159
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• 2022

This study was undertaken to assess levels of job stress, self-efficacy, job satisfaction, and job involvement as perceived by school dietitians/nutrition teachers during the early stage of the COVID-19 pandemic and to determine the effects of these three factors. An online survey was sent from May 18 to May 26, 2021, to school dietitians/nutrition teachers in Seoul with experience of foodservice operations during 2020; 250 responses were used for this analysis. Job demands contributed most to job stress, whereas human relations contributed most to job satisfaction. Job stress caused by COVID-19 had a negative impact on self-efficacy (P<0.01) and job satisfaction (P<0.01), but a positive impact on job involvement (P<0.05). Self-efficacy positively impacted job involvement (P<0.01) but did not significantly influence job satisfaction. However, job satisfaction during early COVID-19 positively impacted job involvement (P<0.05). In conclusion, job stress associated with job requirements was greater during the early stage of the COVID-19 pandemic than before the pandemic guidelines are needed that enable school dietitians/nutrition teachers to better cope with the job pressures generated by infectious diseases.

• 한국심리학회지 : 문화 및 사회문제
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• 제28권3호
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• pp.483-512
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• 2022

본 연구는 잠재프로파일분석을 통해 코로나 팬데믹 초기 한국인의 스트레스-대처 양상을 확인하고, 잠재계층구분에 영향을 미칠 것으로 예상되는 인구사회학적 정보(성별, 연령, 가구형태, 경제수준), 코로나로 인한 비일상성(코로나로 인한 두려움, 코로나로 인한 스트레스, 외출 및 일정제약, 코로나로 인한 수입 감소)을 살펴보고, 잠재계층에 따른 심리적 안녕감(삶의 만족감, 우울, 불안)의 차이를 확인하였다. 본 연구는 세계보건기구(WHO)가 코로나 팬데믹을 선언하고, 국내에서 대구·경북지역이 특별재난지역으로 선정된 시기인 2020년 4월 13일 부터~21일까지 성인 600명을 대상으로 온라인 설문을 실시했다. 대처 양상에 따라 모형을 분류한 결과, 4계층('낮은 대처관여 집단 1', '보통 수준의 적응적 대처집단 2', '높은 수준의 적응적 대처집단 3', '적응-부적응 대처 관여집단 4')의 모형적합도가 가장 양호하였다. 또한 인구사회학적 정보에서는 성별, 연령, 경제수준이 잠재계층을 유의하게 구분하였으며, 코로나로 인한 비일상성에서는 두려움, 스트레스, 외출 및 일정제약과 수입 감소가 잠재계층을 유의하게 구분하였다. 또한 잠재계층 간 심리적 안녕감 차이를 확인한 결과, '높은 수준의 적응적 대처집단 3'이 가장 높은 삶의 만족감을 경험하는 것으로 나타났으며, '적응-부적응 대처 관여집단 4'이 가장 높은 우울, 불안을 경험하는 것으로 나타났다. 이를 토대로 논의 및 시사점이 제시되었다.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.913-921
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• 2021

The objective of the study is to investigate the impact of the COVID-19 pandemic on Saudi Arabia stock market. The study relied on the data of the daily closing stock market price index Tadawul All Share Index (TASI), and the number of daily cases infected with COVID-19 during the period from March 15, 2020, to August 10, 2020. The study employs the Vector Auto-Regressive (VAR) model, the Impulse Response Function (IRF) and Autoregressive Conditional Heteroscedasticity (ARCH) models. The results of the correlation matrix and the Impulse Response Function (IRF) show that stock market returns responded negatively to the growth in COVID-19 infected cases during the pandemic. The results of ARCH model confirmed the negative impact of COVID-19 pandemic on KSA stock market returns. The results also showed that the negative market reaction was strong during the early days of the COVID-19 pandemic. The study concluded that stock market in KSA responded quickly to the COVID-19 pandemic; the response varies over time according to the stage of the pandemic. However, the Saudi government's response time and size of the stimulus package have played an important role in alleviating the impacts of the COVID-19 pandemic on Saudi Arabia Stock Market.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 춘계학술발표대회
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• pp.539-541
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• 2023

COVID-19 is a viral pandemic disease that spreads widely all around the world. The only way to identify COVID-19 patients at an early stage is to stop the spread of the virus. Different approaches are used to diagnose, such as RT-PCR, Chest X-rays, and CT images. However, these are time-consuming and require a specialized lab. Therefore, there is a need to develop a time-efficient diagnosis method to detect COVID-19 patients. The proposed machine learning (ML) approach predicts the presence of coronavirus based on clinical symptoms. The clinical dataset is collected from the Israeli Ministry of Health. We used different ML classifiers (i.e., XGB, DT, RF, and NB) to diagnose COVID-19. Later, classifiers are optimized with the Bayesian hyperparameter optimization approach to improve the performance. The optimized RF outperformed the others and achieved an accuracy of 97.62% on the testing data that help the early diagnosis of COVID-19 patients.

• Journal of Gastric Cancer
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• 제23권4호
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• pp.574-583
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• 2023

Purpose: Gastric cancer (GC) is among the most prevalent and fatal cancers worldwide. National cancer screening programs in countries with high incidences of this disease provide medical aid beneficiaries with free-of-charge screening involving upper endoscopy to detect early-stage GC. However, the coronavirus disease 2019 (COVID-19) pandemic has caused major disruptions to routine healthcare access. Thus, this study aimed to assess the impact of COVID-19 on the diagnosis, overall incidence, and stage distribution of GC. Materials and Methods: We identified patients in our hospital cancer registry who were diagnosed with GC between January 2018 and December 2021 and compared the cancer stage at diagnosis before and during the COVID-19 pandemic. Subgroup analyses were conducted according to age and sex. The years 2018 and 2019 were defined as the "before COVID" period, and the years 2020 and 2021 as the "during COVID" period. Results: Overall, 10,875 patients were evaluated; 6,535 and 4,340 patients were diagnosed before and during the COVID-19 period, respectively. The number of diagnoses was lower during the COVID-19 pandemic (189 patients/month vs. 264 patients/month) than before it. Notably, the proportion of patients with stages 3 or 4 GC in 2021 was higher among men and patients aged ≥40 years. Conclusions: During the COVID-19 pandemic, the overall number of GC diagnoses decreased significantly in a single institute. Moreover, GCs were in more advanced stages at the time of diagnosis. Further studies are required to elucidate the relationship between the COVID-19 pandemic and the delay in the detection of GC worldwide.

• The Journal of Asian Finance, Economics and Business
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• 제9권3호
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• pp.327-335
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• 2022

The purpose of this study is to examine the Kuwaiti Stock Exchange's (KDE) response to the COVID-19 pandemic and the precautions taken by Kuwaiti authorities to protect their citizens and other residents. To achieve this objective, daily data from four different indexes published by the Kuwait Stock Exchange (KSE) for the period between 24 February and 30 June 2020, as well as daily data on the number of people infected with COVID-19, the daily number of recovered people, the daily number of deaths, lockdown days, and days the country was under curfew. The findings show a significant positive association between the daily recovery of persons infected by COVID-19 and all indexes published by the KSE except for the Boursa Kuwait Main Market 50, where the association was positive but insignificant. A negative and significant association was also found between the closure of the country and each of the four indexes. Although the curfew imposed by the Kuwaiti authorities at an early stage of the pandemic appeared to have a negative effect on the four indexes, the level of association was statistically significant only in the cases of the Main Market index and Boursa Kuwait Main Market 50 index.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.463-474
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• 2020

This study aims to investigate the impact of COVID-19 pandemic on the stock markets of sixteen countries. Pooled OLS regression, conventional t-test and Mann-Whitney test are used to estimate the results of the study. We construct a weekly panel data of COVID-19 new cases and stock returns. Pooled OLS estimation result shows that the growth rate of weekly new cases of COVID-19 negatively predicts the return in stock market. Next, the returns on leading stock indices of these countries during the COVID-19 outbreak period are compared with returns during the non-COVID period. We use a t-test and Mann-Whitney test to compare the returns. The results reveal that investors in these countries do not react to the media news of COVID-19 at the early stage of the pandemic. However, once the human-to-human transmissibility had been confirmed, all of the stock market indices negatively reacted to the news in the short- and long-event window. Interestingly, we noticed that the Shanghai Composite Index, which was severely affected during the short-event window, bounced back during the long-event window. This indicates that the Chinese government's drastic measures to contain the spread of the pandemic regained the confidence of investors in the Shanghai Stock Market.

• 복식문화연구
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• 제28권3호
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• pp.285-298
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• 2020

This study aimed at examining fashion consumers' awareness during the COVID-19 pandemic. Big data analysis methods, such as text mining, social network analysis, and regression analysis, were applied to user posts about fashion on Korean portal websites and social media during COVID-19. R 3.4.4, UCINET 6, and SPSS 25.0 software were used to analyze the data. The results were as follows. In researching the popular fashion-related topics during COVID-19, the prevention of infection and prophylaxis were significant concerns in the early stage (Jan 1 to Jan 31, 2020), and changed to online channels and online fashion platforms. Then, various topics and fashion keywords appeared with COVID-19-related keywords afterwards. Fashion-related subjects concerned prophylaxis, home life, digital and beauty products, online channels, and fashion consumption. In comparing fashion consumers' awareness during COVID-19 with SARS and MERS, "face masks" was the common keyword for all three illnesses; yet, the prevention of infection was a major consumer concern in fashion-related subjects during COVD-19 only. As COVD-19 cases increased, the search volume for face masks, shoes, and home clothes also increased. Consumer awareness about face masks shifted from blocking yellow dust and micro-dust to the sociocultural significance and short supply. Keywords related to performance turned out to be the major awareness as to shoes, and home clothes were repurposed with an expanded range of use.

• 한국콘텐츠학회논문지
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• 제21권4호
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• pp.1-13
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• 2021

코로나19에 대한 전세계적 팬데믹이 진행되고 있는 상황에서 잘못된 정보가 대중에게 노출되었을 경우 발생할 수 있는 잠재적인 문제에 대한 우려와 함께 현재 주요 앱 마켓에서 민간 애플리케이션에 대한 차단 조치도 단행되고 있다. 그러나 감염병 상황에서 중앙집중식의 일방적인 정보 전달보다 대중이 스스로 정보를 공유하는 것이 효과적인 측면도 동시에 존재한다. 본 연구는 텍스트마이닝을 이용해 감염병 상황에서 민간 주도의 정보제공에 대한 이용자 반응을 분석한다. 이를 위해 정부와 민간이 현재 한국의 구글 플레이스토어에서 제공하고 있는 모든 코로나19 애플리케이션에 대한 이용자들의 반응에 대한 토픽 모델링과 감성분석을 실시한다. 분석 결과, 이용자들은 정보의 신뢰성, 위험회피, 실시간성, 유용성, 안정성 등 모든 차원에서 정부 대비 민간 애플리케이션에 대해 더 긍정적인 반응을 보이는 것으로 분석되었다. 분석 결과를 바탕으로 민간 애플리케이션에 대한 일방적인 차단이 아닌, 사후적인 모니터링 시스템을 도입하는 방안 등을 제안한다.

• 디지털산업정보학회논문지
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• 제17권4호
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• pp.197-207
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• 2021

The threat of COVID-19 pandemic put many universities in Korea to develop and implement various types of non-face-to-face on-line classes, such as on-line real time class and on-line recorded video class. Online education has been recognized as one of the effective educational methods because of its ubiquitous and flexible educational environments. Even though COVID-19 led to many problems such as faculty's burden and stress during the early stage of COVID-19, both students and faculties have gradually become familiar with on-line environment. As students have got accustomed to the online environment, on-line recorded lectures are shown to be more preferred rather than on-line real time class. Researches regarding the learner's satisfaction of on-line classes during the COVID-19 indicate that systematic and good quality contents and interaction by instructor are important factors. This study, therefore, investigate the learner's satisfaction of online classes in Liberal Arts course using recorded video contents in terms of contents and interaction. The results of empirical analysis reveal that systematic and good quality contents are likely to predict learner's satisfaction and interaction plays a great role in providing those contents. These findings provide insights that preparing systematic contents and interaction are key to enhancing learner's satisfaction of on-line classes in Liberal Arts course.