• 대한의생명과학회지
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• 제29권4호
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• pp.344-354
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• 2023

This study emphasizes the importance of early diagnosis and response to COVID-19, leading to the development of a rapid diagnostic kit using quantum dots. The research focuses on finely tuning bioconjugation with quantum dots to enhance the accuracy and sensitivity of COVID-19 diagnosis. We have developed a COVID-19 rapid diagnostic kit that exhibits a sensitivity more than 50 times higher than existing COVID-19 diagnostic kits. Quantum dots enable the accurate detection of COVID-19 viral antigens even at low concentrations, providing a rapid response in the early stages of infection. The COVID-19 quantum dot diagnostic kit offers quick analysis time, utilizing the quantum properties of particles to swiftly measure COVID-19 infection for immediate response and isolation measures. Additionally, this diagnostic kit allows for multiple analyses with ease, as multiple quantum dots can detect various antigens and antibodies simultaneously in a single experiment. This efficiency enhances testing, reduces sample requirements, and lowers experimental costs. The application of this diagnostic technology is anticipated in the future for early diagnosis and monitoring of other infectious diseases.

• Korean Journal of Radiology
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• 제21권8호
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• pp.1018-1023
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• 2020

The coronavirus disease (COVID-19) outbreak has reached global pandemic status as announced by the World Health Organization, which currently recommends reverse transcription polymerase chain reaction (RT-PCR) as the standard diagnostic tool. However, although the RT-PCR test results may be found negative, there are cases that are found positive for COVID-19 pneumonia on computed tomography (CT) scan. CT is also useful in assessing the severity of COVID-19 pneumonia. When clinicians desire a CT scan of a patient with COVID-19 to monitor treatment response, a safe method for patient transport is necessary. To address the engagement of medical resources necessary to transport a patient with COVID-19, our institution has implemented the use of mobile CT. Therefore, we report two cases of COVID-19 pneumonia evaluated by using mobile cone-beam CT. Although mobile cone-beam CT had some limitations regarding its image quality such as scatter noise, motion and streak artifacts, and limited field of view compared with conventional multi-detector CT, both cases had acceptable image quality to establish the diagnosis of COVID-19 pneumonia. We report the usefulness of mobile cone-beam CT in patients with COVID-19 pneumonia.

• Child Health Nursing Research
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• 제30권2호
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• pp.154-163
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• 2024

Purpose: This study is descriptive research aiming to identify factors influencing the stigma experienced by college students with coronavirus disease 2019 (COVID-19), focusing on COVID-19 pandemic stress, depression, and fear of negative evaluation as the main variables. Methods: An online survey was administered to 175 college students who had been diagnosed with COVID-19 from January to May 2022 and were enrolled in universities in Seoul, Cheongju, and Daegu, South Korea. The survey collected data on pandemic stress, depression, fear of negative evaluation, and stigma. The data were analyzed using the t-test, ANOVA, the Scheffe test, Pearson's correlation coefficients, and stepwise multiple regression in SPSS/WIN 26.0. Results: We analyzed differences in stigma scores based on general characteristics of the college students and found significant differences in stigma scores by age, major satisfaction, interpersonal satisfaction, date of COVID-19 confirmation, treatment modality, and recent subjective health condition. Factors influencing stigmatization were identified as COVID-19 pandemic stress, depression, date of COVID-19 confirmation, treatment modality, recent subjective health condition, and major satisfaction, with an overall explanatory power of 37.6%. Conclusion: This study is significant as it identifies emotional changes across various aspects of pandemic stress, depression, fear of negative evaluation, and stigma among college students who have been diagnosed with COVID-19. The findings of this study suggest the development of programs to reduce psychological distress and enhance mental health management skills among these students.

• International Journal of Internet, Broadcasting and Communication
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• 제16권2호
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• pp.43-49
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• 2024

In early 2020, as the COVID-19 pandemic hit the world, widespread changes occurred throughout society. COVID-19 also brought changes in consumers' consumption behaviors and preferences. This study aims to find out how the current status of the tourism industry and the coffee industry has changed since the end of COVID-19 by conducting big data analysis focusing on the search frequency of Naver, Google, and the following, which are representative social networks in Korea. Designating "Coffee Industry + Tourism Industry" as the representative keyword, January 1, 2020 to December 31, 2020, the time of each COVID-19 outbreak, was set before the COVID-19 type, and January 1, 2023 to December 31, 2023 was set after the end of COVID-19. Based on the analyzed search binder big data analysis within the period, we would like to find out how the current status of the tourism industry and the coffee industry has changed since the end of COVID-19. Finaly, the coffee and tourism industries are on the path of recovery and growth. In particular, the rise in coffee consumption, the recovery of the number of tourists, the emphasis on local tourism, and the strengthening of links with global markets are prominent.

• 한국융합학회논문지
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• 제11권9호
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• pp.7-13
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• 2020

최근 세계보건기구(WHO)의 Coronavirus Disease-19(COVID-19)에 대한 팬데믹 선언으로 COVID-19는 세계적인 관심사이며 많은 사망자가 속출하고 있다. 이를 극복하기 위하여 국가 간 정보 교환과 COVID-19 관련 대응 방안 등의 공유에 대한 필요성이 증대되고 있다. 하지만 언어적 경계로 인해 원활한 정보 교환 및 공유가 이루어지지 못하고 있는 실정이다. 이에 본 논문은 COVID-19 도메인에 특화 된 인공신경망 기반 기계번역(Neural Machine Translation(NMT)) 모델을 제안한다. 제안한 모델은 영어를 중심으로 프랑스어, 스페인어, 독일어, 이탈리아어, 러시아어, 중국어 지원이 가능한 Transformer 기반 양방향 모델이다. 실험결과 BLEU 점수를 기준으로 상용화 시스템과 비교하여 모든 언어 쌍에서 유의미한 높은 성능을 보였다.

• 대한약침학회지
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• 제23권2호
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• pp.62-70
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• 2020

Coronavirus disease-19 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS CoV-2). Currently, the management of patients with COVID-19 depends mainly on repurposed drugs which include chloroquine, hydroxychloroquine, lopinavir/ritonavir, ribavirin, remdesivir, favipiravir, umifenovir, interferon-α, interferon-β and others. In this review, the potential of Nigella sativa (black cumin seeds) to treat the patients with COVID-19 analyzed, as it has shown to possess antiviral, antioxidant, anti-inflammatory, anticoagulant, immunomodulatory, bronchodilatory, antihistaminic, antitussive, antipyretic and analgesic activities. Medline/PubMed Central/PubMed, Google Scholar, Science Direct, Directory of open access journals (DOAJ) and reference lists were searched to identify articles associated with antiviral and other properties of N.sativa related to the signs and symptoms of COVID-19. Various randomized controlled trials, pilot studies, case reports and in vitro and in vivo studies confirmed that N.sativa has antiviral, antioxidant, anti-inflammatory, immunomodulatory, bronchodilatory, antihistaminic, antitussive activities related to causative oraganism and signs and symptoms of COVID-19. N. sativa could be used as an adjuvant therapy along with repurposed conventional drugs to manage the patients with COVID-19.

• 전자통신동향분석
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• 제36권5호
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• pp.42-50
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• 2021

A rapidly spreading unidentified type of pneumonia was initially reported in China in December 2019. On March 11, 2020, the World Health Organization declared the coronavirus disease 2019 (COVID-19) a global pandemic. The world is making efforts to overcome COVID-19 using the experience of each country. From the beginning, Korea has been relatively successful in managing COVID-19 according to the "3T principle," that is, test-trace-treat. To share these experiences with the international community, in June 2020, Korea launched 18 projects in an attempt to standardize the COVID-19 response technology. This paper introduces the standardization trend of Korea's response to COVID-19.

• Safety and Health at Work
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• 제12권2호
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• pp.277-281
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• 2021

Singapore's construction sector employs more than 450,000 workers. During the height of the COVID-19 pandemic in Singapore from April to June 2020, migrant workers were disproportionately affected, including many working in the construction sector. Shared accommodation and construction worksites emerged as nexuses for COVID-19 transmission. Official government resources, including COVID-19 epidemiological data, 43 advisories and 19 circulars by Singapore's Ministries of Health and Manpower, were reviewed over 8 month period from March to October 2020. From a peak COVID-19 incidence of 1,424.6/100,000 workers in May 2020, the incidence declined to 3.7/100,000 workers by October 2020. Multilevel safe management measures were implemented to enable the phased reopening of construction worksites from July 2020. Using the Swiss cheese risk management model, the authors described the various governmental, industry, supervisory and worker-specific interventions to prevent, detect and contain COVID-19 for safe resumption of work for the construction sector.

• 대한조현병학회지
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• 제24권2호
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• pp.45-51
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• 2021

The coronavirus disease 2019 (COVID-19) pandemic has drastically impacted our society and health care system. People with schizophrenia are more vulnerable to this burden of illness and related societal changes. In addition, they are more susceptible to the transmission of COVID-19 and have a significantly higher mortality rate compared to the general population. In a recent study, vaccinated patients with schizophrenia showed a greatly decreased mortality level similar to that of the general population. However, patients with schizophrenia were less likely to be vaccinated. Mental health professionals should provide them with appropriate information on prevention strategies against COVID-19 and vaccination. Long-lasting social distancing and social disconnection can make people with schizophrenia more vulnerable to loneliness and depression. Furthermore, patients with schizophrenia may face challenges continuing psychiatric treatment due to the COVID-19 pandemic. Social support and suitable mental health services using novel technologies should be developed and provided to patients with schizophrenia.

• 대한임베디드공학회논문지
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• 제17권4호
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• pp.249-255
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• 2022

The COVID-19 virus appeared in 2019 and is extremely contagious. Because it is very infectious and has a huge impact on people's mobility. In this paper, multiple linear regression and random forest models are used to predict the number of COVID-19 cases using COVID-19 infection status data (open source data provided by the Ministry of health and welfare) and Google Mobility Data, which can check the liquidity of various categories. The data has been divided into two sets. The first dataset is COVID-19 infection status data and all six variables of Google Mobility Data. The second dataset is COVID-19 infection status data and only two variables of Google Mobility Data: (1) Retail stores and leisure facilities (2) Grocery stores and pharmacies. The models' performance has been compared using the mean absolute error indicator. We also a correlation analysis of the random forest model and the multiple linear regression model.