• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.221-222
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• 2020

코로나 바이러스가 2019년 12월 처음 중국 우한에서 발생한 뒤 우리나라를 포함한 전 세계로 확산되어 있다. 각 나라에서는 사전차단을 위한 방역과 격리 등 바이러스의 확산을 막기 위하여 온 힘을 다하고 있으며, 우리나라 역시 국가 차원에서 대응정책을 펼치고 있다. 이에 코로나 바이러스를 대비한 정부의 대응정책과 긴급재난문자를 이용한 상황지원 현황, 그리고 포스트 코로나 시대의 긴급재난문자 발전방향에 대하여 살펴보고자 한다.

• 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.

• KOREAN POULTRY JOURNAL
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• v.52 no.3
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• pp.150-152
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• 2020

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.477-489
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• 2021

COVID-19 has spread seriously around the world in 2020 and it is still significantly affecting our whole daily life. Currently, the whole world is still undergoing the pandemic and South Korea is no exception to it. During the pandemic, South Korea had several events that prevented or accelerated its spread. To establish the prevention policies for infectious diseases, it is very important to evaluate the intervention effect of such events. The susceptible-infected-removed (SIR) model is often used to describe the dynamic behavior of the spread of infectious diseases through ordinary differential equations. However, the SIR model is a deterministic model without considering the uncertainty of observed data. To consider the uncertainty in the SIR model, the Bayesian approach can be employed, and this approach allows us to evaluate the intervention effects by time-varying functions of the infection rate in the SIR model. In this study, we describe the time trend of the spread of COVID-19 in South Korea and investigate the intervention effects for the events using the stochastic SIR model based on the Bayesian approach.

• Pediatric Infection and Vaccine
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• v.29 no.1
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• pp.1-15
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• 2022

Coronavirus disease 2019 (COVID-19) presents as a mild-to-moderate respiratory illness in most children. However, a small proportion of children with COVID-19 develop severe or critical illnesses. Although pediatric clinical trials for the treatment of COVID-19 are sparse, some drugs are available for children and adolescents with severe COVID-19. This review summarizes clinical data focusing on antiviral agents and immunomodulators for use in treating COVID-19. In addition, current recommendations for therapeutics for children and adolescents with COVID-19 are discussed.

• Sleep Medicine and Psychophysiology
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• v.29 no.2
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• pp.29-34
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• 2022

Coronavirus disease 2019 (COVID-19), which was a global pandemic caused by severe acute respiratory syndrome corona virus 2 (SARS-CoV-2), is still a serious public health problem. COVID-19 causes various symptoms not only in the respiratory system but also in various parts of the body and has a significant effect on sleep. Insomnia and poor sleep quality were observed at high rates in patients with COVID-19 as well as in the uninfected general population. Obstructive sleep apnea is also considered a risk factor in patients with severe COVID-19. Virus-induced central nervous system damage is likely to be the cause of many sleep disorders in COVID-19, but psychosocial influences also seem to have played a significant role. Sleep problems persisted at high rates for a considerable period after the infection phase was over. More attention and research on the effect of COVID-19 on sleep is needed in the future.

• 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.

• Korean Journal of Occupational Health Nursing
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• v.29 no.3
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• pp.202-207
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• 2020

Purpose: COVID-19 infections have been erupting in places of worship, long-term care facilities, and call centers in Korea since January 2020. This study aims to diagnose and present an infection control system solution for long-term care facilities where at-risk elderly individuals are actively engaged in communal life. Methods: We conducted comparative analyses of infection control systems between long-term care facilities and medical institutions respective of relevant laws and this study's evaluation system. Results: To prepare for future infectious diseases, it is necessary to establish a long-term care facility infection control system and strengthen the standards thereof, to strengthen long-term care facility evaluation standards and to newly establish medical charges for infection control. Conclusion: Systematic procedure fortification and financial support provisions are necessary for infection control at long-term care facilities.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.62-70
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• 2021

2020 was a year in which the world spent in disorder due to the pandemic of Coronavirus infection-19(COVID-19). The pandemic was at the beginning of a turning point in history. For examples, the Black Death(Pest) that destroyed the feudal system of medieval Europe in the 14th century, smallpox that led to the destruction of the Inca Empire by Spain in the 17th century, and the Spanish flu that ended World War I early. The great transformation that will come after COVID-19 is presented from various fields and perspectives, but the understanding and direction of the transformation is ambiguous. This study attempts to derive and to analyze core terms based on a network of the future of globalization after COVID-19. Four Networks related to globalization, anti-globalization, and globalization and digitalization after COVID-19 were established respectively. A network integrating four networks was also constructed. The core terms were extracted from the hub nodes, the stress centrality, and the simplified network to which the K-core algorithm was applied. After COVID-19, the changes in globalization were analyzed from the extracted core terms. This study is thought to be meaningful to propose a method of deriving and analyzing core terms based on a network in understanding social changes after COVID-19.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.66-74
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• 2022

This study identified the impact of information literacy, risk perception, crisis communication on preventive behaviors related to COVID-19 among nursing students. Data were collected from 187 nursing students from 25 June 2020 to 3 July 2020, and analyzed using the SPSS/WIN 26.0 program. As a result of regression analysis, the factors influencing prevention behaviors were crisis communication(β=0.30, p<.001), information literacy(β=0.29, p<.001), and risk perception(β=0.19, p=.004). The explanatory power of the model was 27%. This study suggests that the focus should be on improving the activating crisis communication process among individual, family and society, increasing information literacy and risk perception on crisis when developing program to improve COVID-19 preventive behaviors of nursing students experiencing clinical practice.