• Monthly Duck's Village
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• s.203
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• pp.12-17
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• 2020

지난해 10월부터 시작된 오리사육제한이 올해 2월까지 4개월간 실시됐다. 사육제한이 끝난 농가들이 기지개를 필 무렵, 코로나바이러스감염증-19(COVID-19, 이하 코로나19)가 터졌다. 3년간 시행된 오리사육 제한으로 생산비를 밑돌면서 오리를 생산해 온 오리업체들은 이번 사육제한을 끝으로 발돋움하려는 청사진을 그려놓았다. 그러나 세계를 '정지'상태로 만든 코로나19로 오리산업은 다시 답보상태에 빠졌다. 올해 외식산업에서의 '오리산업 전성기'를 꿈꾸며 오리자조금이 추진한 '오리 중량판매' 등의 시책은 코로나19로 두문불출하며 외식을 줄인 소비자들에게 제대로 선을 보이지도 못한 상태다. 외식시장의 대부분이 수입육으로 이뤄져 있는 대부분의 축종들은 가정소비가 늘어나면서 오히려 때아닌 특수를 누렸지만 외식수요로 생오리의 대부분을 판매하던 오리산업은 '나홀로' 피해를 입은 축종이 돼 버렸다. 오리사육 제한으로 입은 피해에서 아직 벗어나지도 못한 오리산업, 코로나19는 오리산업에 얼마만큼의 피해를 준 것일까? 이 패해는 언제 끝나는 것일까?

• Pediatric Infection and Vaccine
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• v.29 no.2
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• pp.70-76
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• 2022

Coronavirus disease 2019 (COVID-19) in patients with underlying diseases, is associated with high infection and mortality rates, which may result in acute respiratory distress syndrome and death. Mucopolysaccharidosis (MPS) type II is a progressive metabolic disorder that stems from cellular accumulation of the glycosaminoglycans, heparan, and dermatan sulfate. Upper and lower airway obstruction and restrictive pulmonary diseases are common complaints of patients with MPS, and respiratory infections of bacterial or viral origin could result in fatal outcomes. We report a case of COVID-19 in a 16-year-old adolescent with MPS type II, who had been treated with idursulfase since 5 years of age. Prior to infection, the patient's clinical history included developmental delays, abdominal distension, snoring, and facial dysmorphism. His primary complaints at the time of admission included rhinorrhea, cough, and sputum without fever or increased oxygen demand. His heart rate, respiratory rate, and oxygen saturation were within the normal biological reference intervals, and chest radiography revealed no signs of pneumonia. Consequently, supportive therapy and quarantine were recommended. The patient experienced an uneventful course of COVID-19 despite underlying MPS type II, which may be the result of an unfavorable host cell environment and changes in expression patterns of proteins involved in interactions with viral proteins. Moreover, elevated serum heparan sulfate in patients with MPS may compete with cell surface heparan sulfate, which is essential for successful interaction between the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein and the host cell surface, thereby protecting against intracellular penetration by SARS-CoV-2.

• Journal of the Korean Society of Radiology
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• v.81 no.3
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• pp.608-609
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• 2020

• Journal of the Korean Society of Radiology
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• v.81 no.6
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• pp.1334-1347
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• 2020

Coronavirus disease (COVID-19) has threatened public health as a global pandemic. Chest CT and radiography are crucial in managing COVID-19 in addition to reverse transcription-polymerase chain reaction, which is the gold standard for COVID-19 diagnosis. This is a review of the current status of the use of chest CT and radiography in COVID-19 diagnosis and management and anㄷ introduction of early representative studies on the application of artificial intelligence to chest CT and radiography. The authors also share their experiences to provide insights into the future value of artificial intelligence.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.68-68
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• 2022

코로나바이러스는(COVID-19)는 2019년 12일 중국 후베이성 우한시에서 시작된 코로나바이러스감염증으로 2020년 1월부터 전 세계로 퍼져, 일부 국가 및 지역을 제외한 대부분의 나라와 모든 대륙으로 확산되었다. 이에 WHO는 범 유행전염병(Pandemic)을 선언하였다. 2022년 3월 18일 현재 국내 누적 확진환자 8,657,609명과 11,782명의 사망자를 일으켰고 전 세계적으로도 많은 사상자를 내고 있는 실정이고 사회 및 경제적인 피해로도 계속 확대되고 있다. 많은 감염자와 사망자의수에 대한 예측은 코로나바이러스의 전염병을 예방하고 즉각적 조치를 취할 수 있는데 도움이 될 수 있다. 본 연구에서는 문화적 인자를 제외한 국내에서 연구 사례가 많지 않은 기상 요인을 인자로 포함하여 머신러닝 모델을 통해 확진자를 예측하였다. 그리고 여러 가지 모델을 성능 평가 기법인 Root Mean Square Error(RMSE) 및 Mean Absolute Percentage Error(MAPE)를 통해 성능을 평가하고 비교하여 정확도 높은 모델을 제시하였다.

• Journal of the korean academy of Pediatric Dentistry
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• v.48 no.3
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• pp.269-279
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• 2021

The purpose of this study is to evaluate the effect of the spread of a new type of coronavirus infection (COVID-19) on the mental state in school-age children and parents focusing on the aspects of sleep disorders and depression. A questionnaire survey was conducted for 123 parents and 108 school-age children who visited Department of Pediatric Dentistry, Kyung Hee University Dental Hospital at Gangdong from April 2, 2020 through April 25, 2020, via the direct writing method. Participants were assessed with Pittsburgh Sleep Quality Index, Generalized Anxiety Disorder (GAD)-7, Center for Epidemiology Scale for Depression. Logistic regressions were used with a level of significance of 5%. The prevalence of GAD, depression, and poor sleep in parents were 34.1%, 17.1% and 44.7%, respectively. The prevalence of GAD in children was 20.4%. Logistic regression showed that stress from Emergency Alert Messages about COVID-19 was associated with GAD and depression in parents. In children, the degree of emotional change after COVID-19 was associated with GAD. This study confirmed that there was a change in the psychological status of children and guardians due to the epidemic of coronavirus disease-2019, and it would be necessary to consider their psychological status during dental treatment.

• Journal of the Society of Disaster Information
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• v.18 no.1
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• pp.91-103
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• 2022

Purpose: After COVID-19, changes in the educational ecosystem take place and fire service academy education system have shifted from face-to-face into non fact-to-face. So, the educational effect of fire officials is decreased and the satisfaction level is also decreased. In this study, we want to examine the current status of non-face-to-face real-time remote education and supplement the problems to improve the educational methods, the educational environment, etc. Method: This study is an independent variable that affects non-face-to-face real-time remote education, consisting of education system environment, self-efficacy of computers, contents (education contents, structure, design, etc.), and proper interaction. A dependent variable was selected with satisfaction for non-face-to-face real-time remote education. In addition, it was selected and analyzed as an active property of learning motivation and learning attitude as control variables. Result: The better the content and the more active the learning motivation and the attitude toward learning, the higher the satisfaction of non-face-to-face real-time remote education, and the more active the learning motivation and the attitude toward learning, the more positive the computer self-efficacy and the satisfaction of learning Conclusion: In order to increase the satisfaction of non-face-to-face real-time education due to COVID-19, education designers or professors need to provide non-face-to-face education contents that can increase the aggressiveness of their learning motivation and learning attitude, and to increase the satisfaction of education for learners by increasing computer self-efficacy through pre-education of non-face-to-face education systems.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.246-254
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• 2021

The purpose of this study was to investigate the effects of knowledge and risk perception of coronavirus disease-2019 on preventive health behavior among nursing students. The survey participants were 291 students in A city. Data were collected using self-report questionnaires between August 1 and 20, 2020. Data were analyzed using descriptive statistics, the independent t-test, one-way ANOVA, Pearson's correlation coefficients, and stepwise multiple regression in SPSS ver. 18.0. Knowledge of COVID-19 was significantly dependent on age and school records. Risk perceptions were significantly dependent on educational grades. Age, health status, knowledge, and risk perception had significant effects on preventive health behavior, which was found to be positively correlated with knowledge and risk perception. Stepwise multiple regression analysis revealed that age significantly predicted preventive health behavior (β=.188, p<.01), health status (β=-.245, p<.001), knowledge (β=.254, p<.001), and risk perception (β=.191, p<.001) that it accounted for 18.9% (F=17.904, p<.001) of the variance. An educational program is required to enhance the preventive health behavior of nursing students in a background of COVID-2019 that considers student age, health level, knowledge, and perception of risk.

• 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.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.85-90
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• 2021

코로나바이러스감염증-19로 인한 팬데믹 상황이 지속되면서 감염증 정보의 불확실성으로 인해 코로나 관련 루머가 온라인상에서 빠르게 전파되고 있다. 이러한 코로나 관련 가짜 뉴스를 사전에 탐지하기 위해, 본 연구에서는 한국어 코로나 가짜 뉴스 데이터셋을 구축하고, 개체명과 사용자 재확산 정보를 이용한 한국어 가짜 뉴스 탐지 모델을 제안한다. 가짜 뉴스 팩트체킹 언론인 서울대팩트체크센터에서 코로나 관련 루머 및 가짜 뉴스에 대한 검증 기사를 수집한 후, 기사로부터 개체명 추출 모델을 통해 주제 키워드를 추출하고, 이를 이용해 유튜브 상의 사용자 재확산 정보를 수집하여 데이터셋을 구성하였다. BERT 기반의 제안 모델을 다양한 비교군과 비교하였고, 특성 조합에 따른 실험을 통해 각 특성 정보(기사 텍스트, 개체명 데이터, 유튜브 데이터)가 가짜 뉴스 탐지 성능에 미치는 영향을 알아보았다.