• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.53-59
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• 2021

The purpose of this study is to identify anxiety and depression level for corona virus 19 among hospital nurses to the spread of COVID-19. Data were collected from 232 nurses in 5 hospitals from August to September in 2020 using questionnaire. Characteristics relative to variables were measured, and analyzed using SPSS 26.0 program for descriptive statistics, t-test, ANOVA, and pearson's correlation. The depression level differed according to gender. The anxiety about COVID-19 infection showed a significantly positive correlation to depression (r=.26, p<.001). Based on these results, several roles and coping strategies were suggested to help nurses recover and maintain their psychological stability and mental health.

• Korean Journal of Clinical Laboratory Science
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• v.53 no.3
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• pp.208-216
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• 2021

Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study aimed to investigate the status of renal function in patients with COVID-19. The study surveyed a total of 649 patients hospitalized with COVID-19 at a hospital located in southern Gyeonggi Province, South Korea over a one month period in January 2021. The parameters analyzed were blood urea nitrogen (BUN), creatinine, sodium, potassium, chloride, and estimated glomerular filtration rate (eGFR). The BUN and creatinine of the COVID-19 patients were found to be higher than the normal reference range, specially in males, and in the elderly (60s and 80s or older). The serum electrolyte levels of the patients were observed to be within the reference intervals. Of the subjects, males over 80 years of age had a Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) of 60 mL/min/1.73 m² or less. Recent research suggests that some severe cases of COVID-19 are showing signs of kidney damage, even in those with no prior underlying kidney disease. Thus, assessment of kidney function using multiple indicators could help diagnose abnormal renal function in patients with COVID-19.

• Journal of the korean academy of Pediatric Dentistry
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• v.49 no.1
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• pp.76-84
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• 2022

The study was conducted to analyze the impacts of COVID-19 on the number of dental trauma patients. Based on the data provided by the Health Insurance Review and Assessment Service's Healthcare Bigdata Hub, dental trauma which occurred from 2010 to 2020 was analyzed. Since the outbreak of COVID-19, the incidence of dental trauma per 100,000 decreased compared to the average Incidence between 2017 to 2019. By age, it decreased by 5.4% (p = 0.017) for 0 - 4 years old, 30.3% (p < 0.001) for 5 - 9 years old, 39.5% (p < 0.001) for 10 - 14 years old, 14.5% (p = 0.002) for 15 - 19 years old, 1.3% for 20 - 29 years old, 0.2% for 40 - 49 years old, 2.7% for 50 - 59 years old, 1.2% for 60 years old or older, but it increased by 2.5% for 30 - 39 years old. Compared monthly, before and after the outbreak of COVID-19 confirmed patients, the number of dental trauma patients dropped sharply. After the outbreak of COVID-19, the incidence of dental trauma decreased significantly for under 20 years old, but the decrease was not significant for 20 years old or older.

• Journal of Advanced Technology Convergence
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• v.2 no.3
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• pp.25-32
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• 2023

This study was conducted to find out the relationship between knowledge and attitudes about COVID-19 and infection control performance among college students in paramedicine. The subjects of the study were 154 university students attending a 3-4 year paramedicine located in Gwangju Metropolitan City, Jeollabuk-do Province, and the collected data were frequency, percentage, sum, average and It was analyzed by standard deviation, t-test, ANOVA(Scheffe), Pearson's Correlation Coefficient, and Multiple Linear Regression. The order of attitude and knowledge about COVID-19 affected the infection control performance of college students in the paramedicine. Therefore, it is necessary to develop and apply regular or non-regular curriculum and multidisciplinary curriculum that can improve knowledge and attitudes about COVID-19 in order to improve the infection control performance of paramedic students.

• 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.

• 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.

• 월간산업보건
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• s.386
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• pp.6-10
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• 2020

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.31-32
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• 2021

신종 코로나바이러스 감염증(Coronavirus disease 2019; COVID-19)이 빠르게 확산됨에 따라 세계적인 전염병 대유행인 팬데믹(Pandemic)으로 선언되었다. 감염자들은 꾸준히 증가하고 있고 최근에는, 무증상 감염자들이 나타나고 있어 의심 환자를 조기에 판단하고 선별할 수 있는 기술이 필요하다. 본 논문에서는 흉부 방사선 검사(chest Radiography; CXR) 영상을 딥러닝(Deep Learning)하여 정상인, 폐렴 환자, 코로나바이러스 감염자를 분류할 수 있도록 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.367-370
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• 2022

본 연구는 코로나19 발생 전·후 공공의료를 둘러싼 사회적 인식변화를 뉴스빅데이터를 통해 파악하고자 시도되었다. 뉴스빅데이터는 코로나19 확진자가 처음 발생한 2020년 1월을 기준으로 나누었으며, 코로나19 발생 이전(2018년 1월~2019년 12월, 총 24개월) 40,834건과 코로나19가 발병 이후(2020년 1월~2021년 12월, 총 21개월) 61,761건이었다. 수집된 빅데이터는 R 4.1.1 for Windows를 활용하여 단어 빈도 분석, 연관규칙분석을 실시하였다. 연구결과, 코로나19 발생 전후 뉴스기사에서 공공의료를 둘러싼 핵심어를 비교할 때 코로나19 발생 후에 발생 전보다 큰 폭으로 상승한 단어는 '확산'(664%), '대응'(658%), '의사'(518%), '상황'(504%), '공공병원'(486%), '의료진'(455%), '확충'(324%), '인력'(305%), '어려움'(272%), '정부'(247%)순으로 나타났다. 코로나19 발생 전후 공공의료를 둘러싼 키워드의 연관규칙 분석을 통해서 의료의 패러다임이 일자리 산업에서 감염증 대응을 위한 보건의료로 전환되는 것을 알수 있었다.

• 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.