• Title/Summary/Keyword: 코로나바이러스-19

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COVID-19 Vaccination in Patients with Gastrointestinal Cancer Receiving Chemotherapy (항암치료를 받는 소화기 암환자에서 코로나바이러스 감염증-19 백신접종)

  • Jonghyun Lee;Dong Uk Kim
    • Journal of Digestive Cancer Research
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    • v.10 no.2
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    • pp.107-111
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    • 2022
  • In 2019, coronavirus disease (COVID-19), which originated in Wuhan, has spread worldwide. In most people, COVID-19 symptoms are not severe. However, the mortality rate and severity were high in risk groups such as in older people and patients with underlying diseases. As patients with cancer are one of the risk groups, the vaccination for COVID-19 is emphasized in these patients. However, COVID-19 vaccines are not tested enough in special groups such as in patients with cancer because these vaccines are developed at an unprecedented speed. This causes confusion about whether patients undergoing chemotherapy should be vaccinated or not. In this study, international guidelines and studies were reviewed. Most of the studies recommended vaccination. No evidences of any negative effects for the efficacy or safety were recorded in patients undergoing cytotoxic, targeted, and immune agents. However, in critical conditions such as cytopenia, vaccination must be decided according to the patient's condition. COVID-19 vaccines were also recommended for patients on surgery or radiation therapy. If possible, vaccine is given before surgery to avoid confusion between surgical complications and side effects of the vaccine. The radiation recall phenomenon after vaccination has been reported in some cases of radiation therapy. Clinicians should consider these situations before vaccinating each patient. We hope that clearer guidelines will be established by accumulating verified data.

Analysis and Implications of Korean Health Authorities' Fulfillment on World Health Organization's Recommendations for Mask Use: Focused on COVID-19 (세계보건기구의 마스크 사용 지침에 대한 한국 보건당국의 이행 분석과 함의: 코로나 바이러스 감염병을 중심으로)

  • Kim, MyungHee
    • Journal of Convergence for Information Technology
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    • v.10 no.8
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    • pp.77-86
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    • 2020
  • The study aims to analyze the compliance and non-compliance of the Korean health authorities regarding WHO's mask use recommendations following the spread of Covid-19, and to suggest the limitations and implications of the recommendations in the prevention of epidemics by deriving the causes of non-compliance with the results of alternative options. To this end, documents related to masks at home and abroad are reviewed, and WHO's mask recommendations and the Korean health authorities' mask guidelines are targeted for analysis. The analysis results are as follows. First, Korea's health authorities have basically accepted and applied WHO's "limited mask user perspective" in two recommendations. Second, Korea's health authorities have implemented differently from WHO mask recommendations due to the lack of supply and demand of masks. Third, Korea's health authorities were able to succeed in the initial prevention of Corona 19 based on the stabilization of the mask supply. Fourth, in the WHO mask recommendations, mask user restriction resulted in partial errors as a recommendation. The implication derived from the analysis is that even international recommendations based on medical evidence need to be allowed to follow autonomous guidelines according to the country's quarantine situation and competence, rather than strict adherence to international rules, in the infectious disease pandemic situation.

Analysis of Major COVID-19 Issues Using Unstructured Big Data (비정형 빅데이터를 이용한 COVID-19 주요 이슈 분석)

  • Kim, Jinsol;Shin, Donghoon;Kim, Heewoong
    • Knowledge Management Research
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    • v.22 no.2
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    • pp.145-165
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    • 2021
  • As of late December 2019, the spread of COVID-19 pandemic began which put the entire world in panic. In order to overcome the crisis and minimize any subsequent damage, the government as well as its affiliated institutions must maximize effects of pre-existing policy support and introduce a holistic response plan that can reflect this changing situation- which is why it is crucial to analyze social topics and people's interests. This study investigates people's major thoughts, attitudes and topics surrounding COVID-19 pandemic through the use of social media and big data. In order to collect public opinion, this study segmented time period according to government countermeasures. All data were collected through NAVER blog from 31 December 2019 to 12 December 2020. This research applied TF-IDF keyword extraction and LDA topic modeling as text-mining techniques. As a result, eight major issues related to COVID-19 have been derived, and based on these keywords, this research presented policy strategies. The significance of this study is that it provides a baseline data for Korean government authorities in providing appropriate countermeasures that can satisfy needs of people in the midst of COVID-19 pandemic.

Design and implementation of Robot providing English educational contents (영어 교육용 콘텐츠를 제공하는 로봇 설계 및 구현)

  • Kim, Min-Jee;Kim, Ga-eun;Lee, Sang-won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.605-608
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    • 2020
  • 코로나바이러스 감염증-19(COVID-19)로 인해 기존 대면 수업 위주의 학습 방식에서 비대면 온라인 수업으로 변화하고 있다. 양육자가 일터에 나가야 하는 취약계층에서는 온라인 학습 여건을 갖추지 못해 학습 부진 현상이 발생하고 있다. 이에 본 논문에서는 가정 내에서 자녀들이 영어 학습을 돕는 로봇을 통해 공부에 흥미를 느낄 수 있기를 기대한다.

A Deep Learning-Based Smartphone Phishing Attacks Countermeasures (딥러닝 기반 스마트폰 피싱 공격 대응 방법)

  • Lee, Jae-Kyung;Seo, Jin-Beom;Cho, Young-Bok
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.321-322
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    • 2022
  • 스마트폰 사용자가 늘어남에 따라 갖춰줘야 할 보안성이 취약하여, 다양한 바이러스 및 악성코드 위험에 노출되어 있다. 안드로이드는 운영체제 중 가장 많이 사용되는 운영체제로, 개방성이 높으며 수많은 악성 앱 및 바이러스가 마켓에 존재하여 위험에 쉽게 노출된다. 2년 넘게 이어진 코로나 바이러스(Covid-19)으로 인해 꾸준히 위험도가 높아진 피싱공격(Phshing attack)은 현재 최고의 스마트폰 보안 위협 Top10에 위치한다. 본 논문에서는 딥러닝 기반 자연어처리 기술을 통해 피싱 공격 대응 방법 제안 및 실험 결과를 도출하고, 또한 향후 제안 방법을 보완하여 피싱 공격 및 다양한 모바일 보안 위협에 대응할 수 있는 앱을 설계할 것이다.

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Laboratory Diagnosis of Coronavirus Disease 19 (COVID-19) in Korea: Current Status, Limitation, and Challenges (국내 중증 급성 호흡기 증후군 코로나 바이러스의 검사실 내 진단: 현재, 한계점 그리고 직면한 과제)

  • Song, Gi Seon;Lee, You-Rim;Kim, Sungmin;Kim, Wontae;Choi, Jungwon;Yoo, Dahyeon;Yoo, Jungyoung;Jang, Kyung-Tae;Lee, Jaewang;Jun, Jin Hyun
    • Korean Journal of Clinical Laboratory Science
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    • v.52 no.3
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    • pp.284-295
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    • 2020
  • In December 2019, the first coronavirus disease- 2019 (COVID-19) patient was reported in Wuhan, Hubei Province, China. Since then, the number of patients who suffered severe acute respiratory syndrome caused by the novel Coronavirus (SARS-CoV-2 or 2019-nCoV) has increased dramatically in Korea. This new variant virus induces pulmonary diseases, including cough, sore throat, rhinorrhea, dyspnea, and pneumonia. Because SARS-CoV-2 is an RNA virus, real-time reverse-transcriptase PCR has been used widely to diagnose COVID-19. As the Korea Centers for Disease Prevention and Control (KCDC) and Ministry of Food & Drug Safety (MFDS) approved emergency use authorization, clinical specimens collected from COVID-19 patients and even healthy people have been clinically diagnosed by laboratory medicine. Based on a literature search, this paper reviews the epidemiology, symptoms, molecular diagnostics approved by KCDC, a current diagnosis of COVID-19 in the laboratories, the difference between molecular and serological diagnosis, and guidelines for clinical specimens. In addition, the Korean guidelines of biosafety for clinical laboratory scientists are evaluated to prevent healthcare-associated infection. The author's experience and lessons as clinical laboratory scientists will provide valuable insights to protect the domestic and international health community in this COVID-19 pandemic around the world.

A COVID-19 Diagnosis Model based on Various Transformations of Cough Sounds (기침 소리의 다양한 변환을 통한 코로나19 진단 모델)

  • Minkyung Kim;Gunwoo Kim;Keunho Choi
    • Journal of Intelligence and Information Systems
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    • v.29 no.3
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    • pp.57-78
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    • 2023
  • COVID-19, which started in Wuhan, China in November 2019, spread beyond China in 2020 and spread worldwide in March 2020. It is important to prevent a highly contagious virus like COVID-19 in advance and to actively treat it when confirmed, but it is more important to identify the confirmed fact quickly and prevent its spread since it is a virus that spreads quickly. However, PCR test to check for infection is costly and time consuming, and self-kit test is also easy to access, but the cost of the kit is not easy to receive every time. Therefore, if it is possible to determine whether or not a person is positive for COVID-19 based on the sound of a cough so that anyone can use it easily, anyone can easily check whether or not they are confirmed at anytime, anywhere, and it can have great economic advantages. In this study, an experiment was conducted on a method to identify whether or not COVID-19 was confirmed based on a cough sound. Cough sound features were extracted through MFCC, Mel-Spectrogram, and spectral contrast. For the quality of cough sound, noisy data was deleted through SNR, and only the cough sound was extracted from the voice file through chunk. Since the objective is COVID-19 positive and negative classification, learning was performed through XGBoost, LightGBM, and FCNN algorithms, which are often used for classification, and the results were compared. Additionally, we conducted a comparative experiment on the performance of the model using multidimensional vectors obtained by converting cough sounds into both images and vectors. The experimental results showed that the LightGBM model utilizing features obtained by converting basic information about health status and cough sounds into multidimensional vectors through MFCC, Mel-Spectogram, Spectral contrast, and Spectrogram achieved the highest accuracy of 0.74.

<Field Action Report> Local Governance for COVID-19 Response of Daegu Metropolitan City (<사례보고> 코로나바이러스감염증-19 유행과 로컬 거버넌스 - 2020년 대구광역시 유행에 대한 대응을 중심으로 -)

  • Kyeong-Soo Lee;Jung Jeung Lee;Keon-Yeop Kim;Jong-Yeon Kim;Tae-Yoon Hwang;Nam-Soo Hong;Jun Hyun Hwang;Jaeyoung Ha
    • Journal of agricultural medicine and community health
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    • v.49 no.1
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    • pp.13-36
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    • 2024
  • Objectives: The purpose of this field case report is 1) to analyze the community's strategy and performance in responding to infectious diseases through the case of COVID-19 infectious disease crisis response of Daegu Metropolitan City, and 2) to interpret this case using governance theory and infectious disease response governance framework. and 3) to propose a strategic model to prepare for future infectious disease outbreaks of the community. Methods: Cases of Daegu Metropolitan City's infectious disease crisis response were analyzed through researchers' participatory observations. And review of OVID-19 White Paper of Daegu Metropolitan City, Daegu Medical Association's COVID-19 White Paper, and literature review of domestic and international governance, and administrative documents. Results: Through the researcher's participatory observation and literature review, 1) establishment of leadership and response system to respond to the infectious disease crisis in Daegu Metropolitan City, 2) citizen's participation and communication strategy through the pan-citizen response committee, 3) cooperation between Daegu Metropolitan City and governance of public-private medical facilities, 4) decision-making and crisis response through participation and communication between the Daegu Metropolitan City Medical Association, Medi-City Daegu Council, and medical experts of private sector, 5) symptom monitoring and patient triage strategies and treatment response for confirmed infectious disease patients by member of Daegu Medical Association, 6) strategies and implications for establishing and utilizing a local infectious disease crisis response information system were derived. Conclusions: The results of the study empirically demonstrate that collaborative governance of the community through the participation of citizens, private sector experts, and community medical facilities is a key element for effective response to infectious disease crises.

Development of 119 Paramedics' Quarantine Suit Design to Respond to Virus Transmission -Focusing on COVID-19- (바이러스 전파 대응을 위한 119구급대원 방역복 디자인 개발 -COVID-19를 중심으로-)

  • Hyun-Suk Na;Ok-Hee Lee;Soo-Jeong Bae
    • Journal of Fashion Business
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    • v.27 no.2
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    • pp.26-38
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    • 2023
  • This study aimed to develop a visually differentiated quarantine suit design for giving 119 paramedics comfort to work and psychological stability and to awaken awareness without fear or pressure of the public through literature review and practical research. Basic research was conducted on firefighting uniforms and quarantine suits in Korea and abroad, focusing on domestic and foreign related literature. An interview survey was conducted to identify the current status, problems, and preferences of the design. Research subjects were eight dispatched paramedics and two executives in Seoul and Gwangju. The survey period was from September 15, 2022 to October 10, 2022. Interviews were conducted through phone calls. Results of this study were as follows. Most of the quarantine suits currently worn were Level D style ready-made clothes without coverall patterns. The current quarantine suit was designed without reflecting the symbolism of the National Fire Agency. They were wearing a generous size without having to think about the fit. Most of these quarantine suits were white. In addition, the quarantine suit could not be equipped with a camera for the safety of paramedics. After identifying improvements based on results of the above interview analysis, the following quarantine suit design was proposed. First, it would be differentiated from other institutions by designing suits with symbolism. Second, the convenience of size, camera equipment, and better breathability and style than Level D should be considered. Based on these results, a total of five quarantine suits were designed.

An Exploratory Analysis of Korean News Topics of Chinese Students in Pandemic (팬데믹 상황의 중국인 유학생 뉴스 토픽에 대한 탐색적 분석)

  • Choi, Sook;JIN, XIANMEI
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.218-227
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    • 2021
  • The purpose was to examine what kind of discourse about foreigners in the media in a situation where hatred toward foreigners prevailed in a pandemic situation. News data related to Chinese international students(CIS) was collected for 2020, The 11 optimal topics were selected derived through LDA analysis. They were analyzed in an exploratory level, focusing on the relationship with major events per year. The news about CIS in 2020 was intensively linked to reports on the COVID19 situation. There was a tendency to report in response to the presupposes CIS as potential confirmed patients.