• Journal of the korean veterinary medical association
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• v.22 no.6
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• pp.353-356
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• 1986

• Journal of Digital Convergence
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• v.18 no.11
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• pp.539-545
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• 2020

This study was designed to find out the efficacy of college students' lecture participation in online real-time lectures conducted at university due to the Corona virus events. Participants in this study are 701 students attending the W University in the J region and participating in real-time online lectures. The tools of this study consisted of four factors: interaction, learning improvement, adaptation, and accessibility. The results of this study are as follows: First, accessibility is the highest efficacy among college students' real-time online lectures participation and interaction is the lowest. Second, the efficacy of real-time online lecture participation of university students differed according to gender, grade, major, and access devices. This study is meaningful in that it confirmed the applicability of real-time online teaching method due to corona virus and confirmed the applicability of real-time online teaching as a method to prepare for the arrival of full-scale distance education in the post-Corona era. Lastly, it was suggested that the online class management method and support for each college major reflect the changes of the times.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.473-479
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• 2020

This study examined the meaning of the experiences of university students majoring in occupational therapy, where their practice was discontinued due to COVID-19, and to provide basic data for future measures. This study was a phenomenological study. The subjects of this study were seven students. Interviews were analyzed according to Colaizzi data analysis. As a result of an interview, it was organized into 17 themes, six themes clusters, and two categories. The themes clusters were indifference, problem recognition, wandering, coping, aftermath, and anticipation for coping. The students experienced a confused and frustrating situation after recognizing the problem of COVID-19 and experienced anxiety and regret as they experienced the interruption of their fieldwork. The students expected all universities to implement a batch and quick response at the same time. In the future, a systematic communication and delivery system is needed to quickly prepare and implement countermeasures at the same time as institutions, associations, and universities.

• Pediatric Infection and Vaccine
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• v.30 no.2
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• pp.62-72
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• 2023

Purpose: A change is expected in the pattern of respiratory viruses including human coronavirus (HCoV) after the coronavirus disease 2019 (COVID-19) outbreak. Accordingly, identifying the distribution of respiratory viruses before the COVID-19 outbreak is necessary. Methods: We retrospectively analyzed the results of samples of nasal swabs collected from children under aged ≤18 years who were hospitalized at Myongji Hospital, Gyeonggi-do due to acute respiratory infections from 2017 to 2019. Viruses were detected by real-time reverse transcription polymerase chain reaction (RT-PCR). Results: Out of 3,557 total patients, 3,686 viruses were detected with RT-PCR including coinfections. Of the 3,557 patients, 2,797 (78.6%) were confirmed as PCR-positive. Adenovirus and human rhinovirus (hRV) were detected throughout the year, and human enterovirus was most detected during summer. Respiratory syncytial virus, influenza virus, and HCoV were prevalent in winter. In patients with croup, parainfluenza virus was most frequently detected, followed by hRV and HCoV. The PCR positive rate in summer and winter differed significantly. Conclusions: Respiratory virus patterns in northwestern Gyeonggi-do were not much different from previously reported data. The data reported herein regarding respiratory virus epidemiological information before the COVID-19 outbreak can be used for use in comparative studies of respiratory virus patterns after the COVID-19 outbreak.

• 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.

• 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.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.334-337
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• 2020

코로나감염-19, 사스, 메르스 등 바이러스성 질병이 전세계적으로 확산되어 많은 인구가 감염되어 왔다. 바이러스성 질병의 확산 예측 및 종결을 위해 실제 감염자 데이터를 기반으로 한 시뮬레이션 연구는 반드시 필요하다. 본 연구는 지역 내 클러스터 감염 시뮬레이션을 위한 바이러스 감염모델을 제안한다. 제안하는 모델은 여러 개의 셀로 구성되어 있으며, 각 셀은 군집을 표현하고 있다. 본 논문에서 제안한 모델은 실제 데이터를 기반으로 하여 정확도가 높으며, 이를 바탕으로 향후 지역의 특성을 반영한 전파 시뮬레이션 혹은 지역 간의 전파를 예상하는 시뮬레이션의 기초로 사용될 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.245-248
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• 2022

코로나바이러스감염증-19(COVID-19)의 확산 추세로 한국뿐만 아닌 전 세계적으로 여행 횟수의 빈도가 낮아짐에 따라 각 지역의 소상공인들은 매출의 큰 타격을 입었다. 본 연구에서는 사용자들의 여행 경험을 기록하고 공유하는 시스템을 개발하였다. 코로나바이러스감염증-19(COVID-19)의 종식 이후 다양한 사용자들의 여행 경험을 공유하고 이를 바탕으로 여행지를 추천하고 정보를 공유하여 지역 경제의 활성화를 이끌어 낼 수 있을 것으로 기대된다.

• Journal of the korean veterinary medical association
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• v.27 no.5
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• pp.273-276
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• 1991

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