• Journal of the korean academy of Pediatric Dentistry
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• v.48 no.3
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• pp.324-332
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• 2021

This study was conducted to investigate changes in dental visits in children and adolescents due to COVID-19. Based on the data provided by the Korea Health Insurance Review and Assessment Service, the number of dental visits among children and adolescents from January 2019 to August 2020, and the rate change according to Korean disease classification in 2019 and 2020 were analyzed by month and region. From January to August 2020, compared to the same period in 2019, the total number of visits to dental clinics and dental hospitals among children and adolescents decreased by 642,202 times (16.3%) in the 0 - 9 years old group, and 313,488 times (9.2%) in the 10 - 19 years old group. During the same period, the decreases due to Z29 (Need for other prophylactic measures) decreased by 118,219 times (34%) in the 0 - 9 years old group and 83,944 times (31%) in the 10 - 19 years old group, showing the greatest change. It is analyzed that overall dental service of children and adolescents has decreased due to COVID-19, and this may lead to deterioration of oral health of children and adolescents in the future, and this study can be used as a reference in case of an infectious disease such as COVID-19 in the future.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.567-573
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• 2020

The COVID-19 outbreak had a substantial impact on our lives. Social distancing policies are especially causing severe concern for the cultural and creative industries across the globe. Most performing arts festivals and other venues are being canceled due to COVID-19 fears and social distancing measures. Instead, many individual artists and organizations attempt to deliver their arts online using ICT and live streaming. The actions of the Government in responding to the COVID-19 crisis also provide financial support toward freelance artists and creators, and company. Finally, future directions and areas that need further support are described.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.239-248
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• 2021

This study was aimed to investigate the factors influencing teacher efficacy of depression, anxiety, stress among school teachers in COVID- 19 special disaster area. The data were collected from May 9 to 16, 2020 for 123 high school teachers in D city. As a result of the study, the influential factor of teacher efficacy was satisfaction with duty (β=0.27, p=.002), economic level (β=0.18, p=.022), education (β=0.18, p=.022), subjective health state (β=0.16, p=.047), stress (β=-0.16, p=.044), gender(β=0.16, p=.042). These factors accounted for 35% in teacher efficacy. It was found that depression(β=-0.09, p=.468) and anxiety(β=-0.12, p=.320) had no significant effect on teacher efficacy. When developing a program to improve teacher efficacy, it is required to prepare measures not only to manage stress but also to improve job satisfaction.

• The Korean Society of Law and Medicine
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• v.21 no.3
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• pp.37-75
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• 2020

There have been affluent studies on the development of new drugs and these efforts have been crystallized into a separate field of pharmacology. Yet, a normative analysis pertinent to the development of new medicine is still in a dire need, except for studies regarding medical ethics. This piece of work aims to contemplate on the legal issues concerning the development of new drug, encompassing each and every stage of the development. In order to maximize the practicability of the research method adopted as aforementioned, this work strives to analyze the developing process of COVID-19 vaccine. The first step would be to introduce the developmental stages of inventing a new drug, especially that of a COVID-19 vaccine. After then, legal issues related to each developmental stage would be discussed. Henceforth, the legal analysis would contribute to predicting upcoming legal complexities and will be able to offer normative implications for the invention of new medicines.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.413-416
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• 2020

COVID-19(Coronavirus Disease 2019)는 RNA 형 바이러스로써 점막감염(粘膜感染)과 비말전파(飛沫傳播)로 전염되는 급성 호흡기성 질병이다. 2019 년 12 월 중국 후베이 우한에서 처음 감염이 보고된 후 빠르게 글로벌로 확산되었고, 현재 여러 국가와 지역이 Lockdown 상태에 있다. COVID-19 의 치사율은 국가별, 연령별 차이는 있으나 사스(SARS-CoV), 메르스(MERS-CoV) 등과 비교하여 높다고 할 수 없다. 그러나 COVID-19 는 신종 코로나바이러스로써 아직 백신(Vaccine)과 항바이러스제가 개발되지 않았고 다른 질병과 비교하여 빠른 감염 속도때문에 의료 공백, 사회적 혼란, 경제적 손실을 크게 일으키고 있다. 따라서 바이러스의 확산 양상을 데이터 분석을 통하여 예측할 수 있다면 사회·경제적인 폐해를 줄일 수 있어 Bass 모델과 R 패키지를 이용하여 COVID-19 확산 예측 모형을 계량적으로 제시하였다.

• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.95-108
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• 2020

A coronavirus disease 2019 (COVID-19) is a new global health problem. The Korean government is pursuing to gain its future growth engines and promoting short-term economic stimulation by investing in research and development (R&D) to improve national technological capabilities that can respond to the spread of the global epidemic. It is required to need knowledge information to establish the direction of future national planning thru understanding the status quo of R&D investment in terms of research fields. Four corona-related R&D fields were drawn on the basis of analyzing major nations' R&D funding data (USA, EU etc.) and two differentiated R&D fields were added through comparative analysis with domestic R&D projects. Domestic and foreign research organization-the research title-the scale of the research funding-the project period were presented in terms of the suggested 6(7 details) R&D research fields. Meanwhile R&D projects that have featured in the convergence of interdisciplinary were provided. This study proved the excellence of coronavirus detection and on-site diagnostic capabilities that are currently globally highlighted by deriving differentiated research fields from the domestic competitive advantage fields related to corona viruses and also suggested intensive investment research fields.

• Journal of Navigation and Port Research
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• v.45 no.4
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• pp.194-203
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• 2021

After the outbreak of COVID-19, local infections were spread by foreign sailors of foreign ships entering the ports. However, the government had difficulties in designating temporary living facilities around port areas due to the opposition from local residents. Therefore, the purpose of this study was to plan a floating temporary living facility for foreign sailors in the port area to prevent the spread of COVID-19 by foreign sailors. In this study, location selection, a facility volumetric plan, a unit facility plan, and a unit facility block plan are presented as results of facility planning. Floating temporary living facilities are expected to be used to prevent the spread of first-class infectious diseases in port areas in the future.

• Particle and aerosol research
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• v.16 no.3
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• pp.61-63
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• 2020

• Journal of the Korean Applied Science and Technology
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• v.39 no.3
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• pp.407-416
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• 2022

This study was attempted to determine how knowledge and fear of COVID-19 affects job-seeking anxiety of nursing students in the COVID-19 pandemic situation. The subjects of this study were 157 students from the 1st to 4th graders attending nursing universities. Data collection was collected from December 9, 2021, to February 21, 2022. Data were analyzed with the SPSS/WIN 24.0 program. As a result of this study, the job-seeking anxiety of the subjects was significantly correlated with the fear of COVID-19(r=.386, p<.001). And, influencing factors the job-seeking anxiety of nursing students identified in the order of fear of COVID-19, satisfaction with college. Therefore, it is necessary to develop a program that can reduce the fear of COVID-19 in order to lower the job-seeking anxiety of nursing students.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.283-284
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• 2021

최근 SARS-CoV-2 백신들의 예방접종이 진행됨에 따라 코로나 19 팬데믹의 종결이 예상되고 있다. 하지만 계속해서 출현 중인 변종 바이러스들은 팬데믹 종결의 위험요소로 남아있다. 본 논문에서는 사전학습된 단백질 BERT와 단백질-단백질 상호작용 모델을 활용한 SARS-CoV-2 스파이크 단백질의 변이 예측 분석 알고리즘을 제안한다. 제안하는 기술은 변이 단백질 서열의 예측과 변이 단백질과 human ACE2 수용체의 친화도에 따른 자연선택으로 이루어진다. 이를 통해 시간이 지나며 나타날 수 있는 변종 바이러스들을 시뮬레이션 할 수 있어 변종 바이러스들의 해결에 기여할 것으로 기대된다.