• Title/Summary/Keyword: 코로나바이러스-19

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Analyzing the Characteristics of Voices of Government Officials Giving a Daily Briefing on covid-19 (코로나 19에 대해 일일 브리핑을 하는 정부 관계자의 목소리 특징 분석)

  • Cho, Il-Yeong;Lee, Sun-Kyung;Cho, Dong-Uk
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.05a
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    • pp.615-616
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    • 2020
  • 최근 중국으로 인해 코로나 19 바이러스가 전 세계로 퍼지면서 각 나라에 큰 위협이 되고 있다. 이에 대한민국의 국민들은 매일 코로나 바이러스 확진자와 사망자, 그리고 대처방안에 대한 브리핑을 정부 관계자로부터 듣고 이를 시행하고 있다. 본 논문에서는 코로나바이러스에 대해 브리핑을 하는 정부 관계자의 음성이 어떤 특정이 있는가를 규명해 보고자한다.

Epidemiology and Characteristics of Pediatric Respiratory Virus Infection From 2017 to 2019 Focusing on Human Coronavirus: A Retrospective Study of a Single Center in Northwestern Gyeonggi-do (인간 코로나 바이러스를 중심으로 2017-2019년 소아청소년 호흡기 바이러스 감염증의 역학 및 특성: 경기 북서부지역 단일기관의 후향적 연구)

  • Hyoungsuk Park;Kyoung Won Cho;Lindsey Yoojin Chung;Jong Min Kim;Jun Hyuk Song;Kwang Nam Kim
    • 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.

Comparative Study of Target Genes and Protocols by Country for Detection of SARS-CoV-2 based on Polymerase Chain Reaction (PCR) (중합효소 연쇄반응 기반의 코로나-19 바이러스 검출법에 대한 국가별 목표 유전자 및 프로토콜 비교 연구)

  • Kim, Jin-Hee
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.465-474
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    • 2021
  • Corona-19, a disease caused by 'Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)', was declared a global pandemic by the World Health Organization (WHO) in March 2020, and a real-time polymerase chain reaction test is performed as a diagnostic test for screening and confirmation in most countries. However, not only the target genes and protocols differ by countries, but also the procedures for reading the diagnosis results are diverse, so the criteria for confirmed patients differ by country. Therefore, in this review, we discussed the target genes, test techniques, and diagnostic criteria for each country notified by WHO. And the specificity and sensitivity, limits of detection, positive and negative controls, false positive bacteria candidates, and specimens, and the specifics of the control setting were also described. In addition, the characteristics of Korea's test were compared to each country's one. Finally, in order to obtain the same diagnosis result for SARS-CoV-2 in the future, standardized diagnosis methods and result interpretations for Corona-19 diagnosis were proposed.

Agent-Based COVID-19 Simulation Considering Dynamic Movement: Changes of Infections According to Detect Levels (동적 움직임 변화를 반영한 에이전트 기반 코로나-19 시뮬레이션: 접촉자 발견 수준에 따른 감염 변화)

  • Lee, Jongsung
    • Journal of the Korea Society for Simulation
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    • v.30 no.1
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    • pp.43-54
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    • 2021
  • Since COVID-19 (Severe acute respiratory syndrome coronavirus type 2, SARS-Cov-2) was first discovered at the end of 2019, it has spread rapidly around the world. This study introduces an agent-based simulation model representing COVID-19 spread in South Korea to investigate the effect of detect level (contact tracing) on the virus spread. To develop the model, related data are aggregated and probability distributions are inferred based on the data. The entire process of infection, quarantine, recovery, and death is schematically described and the interaction of people is modeled based on the traffic data. A composite logistic functions are utilized to represent the compliance of people to the government move control such as social distancing. To demonstrate to effect of detect level on the virus spread, detect level is changed from 0% to 100%. The results indicate active contact tracing inhibits the virus spread and the inhibitory effect increases geometrically as the detect level increases.

Mask detection in complex scenes using an ensemble of YOLO models (YOLO 모델 앙상블을 이용한 복잡한 장면에서의 Mask Detection 기법)

  • Hu, Xufeng;Lim, Hyunseok;Gwak, Jeonghwan
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.97-98
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    • 2022
  • 코로나바이러스-19 팬데믹 이후 매일 수만 명의 환자가 발생하고 있다. 보건당국은 사람들의 생활 안전을 보호하기 위해 공항, 정류장 등 공공장소에서는 반드시 마스크를 착용하라고 지시하고 있다. 마스크를 착용하는 목적은 감염으로부터 신체를 보호하고 바이러스 전파와 확산을 막기 위한 것이다. 공공장소에서는 많은 인원에 대한 일괄적인 마스크 착용 검사를 하기 어렵고, 육안으로 확인하는 마스크 착용 검사 방법은 인파가 몰리는 장소에서 검사 효율이 떨어지며 누락되는 경우도 많이 발생한다. 본 연구에서는 입력 이미지에 존재하는 얼굴 영역을 YOLOv4와 YOLOv5 모델을 통해 예측하여 마스크의 착용 여부를 판단하되, 앙상블 기법을 적용하여 보다 효과적인 BB(Bounding Box) 추출 및 마스크 착용 탐지 기법을 적용한다. 따라서 공공장소의 마스크 착용실태를 효과적으로 모니터링 할 수 있는 방법을 제안한다.

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Occupational Therapy Student's Experience of Interruption of Fieldwork Practice due to COVID19 : Phenomenological Study (작업치료 전공 학생들의 코로나19로 인한 실습 중단 경험: 현상학적 연구)

  • Jung, Nam-Hae
    • 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.

A Study on the Diffusion Prediction Model of COVID-19 (COVID-19 확산 예측 모형에 관한 연구)

  • Yun, Seok-Yong
    • 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.

Development of a Website to Share Travel Records. (여행 기록 공유 웹 사이트 개발)

  • Cho, Kyu Cheol;Han, Seung Min
    • 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.

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Effect of COVID-19 Pandemic on Negative Emotions in Korean College Students (코로나바이러스(COVID-19) 유행이 대학생의 부정정서에 미치는 영향)

  • Jang, Jun-Hyuk;Park, Seung-Hee;Kim, Jin-Hwi;Kim, Jongwan
    • Science of Emotion and Sensibility
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    • v.24 no.4
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    • pp.39-52
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    • 2021
  • This study aims to investigate the effect of the coronavirus disease 2019 (COVID-19) epidemic on negative emotions, such as anxiety, depression, fear, and stress, in Korean college students. The study recruited students from J University and conducted interviews across three time points, namely, March 2019, March 2020, and November 2020. For three time points, the participants responded to structured questions about situations they may have encountered and they were asked to summarize their responses. Repeated-measures ANOVAs were performed to examine whether differences exist in negative emotions between time points. Furthermore, polynomial trend analyses were conducted to examine resultant patterns over time. The results revealed that negative emotions displayed significant differences between time points. Moreover, trend analyses revealed a curvilinear pattern, which indicates that negative emotions increased and were then sustained. These findings suggest that negative emotions may continue to become prevalent among college students with the increased impacts of the ongoing COVID-19 pandemic. The study discussed the need for psychological support systems, such as stress management and psychological counseling, for college students.