• Title/Summary/Keyword: COVID- 19

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In-Flight Cardiopulmonary Resuscitation and COVID-19 (기내 심폐소생술과 COVID-19)

  • Kim, Jung Eon
    • Korean journal of aerospace and environmental medicine
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    • v.31 no.3
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    • pp.68-72
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    • 2021
  • As the number of passengers using aircraft increases around the world, there may be more medical measures needed within the aircraft. These medical measures may also include measures against serious situations such as cardiopulmonary resuscitation (CPR). However, since the environment is different from the hospital in the aircraft, it may be difficult to cope with such a situation. Moreover, such in-flight CPR may become more difficult at a time when the proportion of out-ofhospital CPR is decreasing due to the recent COVID-19 pandemic. In this paper, I would like to summarize how in-flight CPR is performed and review the main discussions on CPR in the COVID-19 pandemic, and finally suggest how to perform a safe CPR in the COVID-19 situation.

Potential benefits of ginseng against COVID-19 by targeting inflammasomes

  • Yi, Young-Su
    • Journal of Ginseng Research
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    • v.46 no.6
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    • pp.722-730
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    • 2022
  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the pathogenic virus that causes coronavirus disease 2019 (COVID-19), with major symptoms including hyper-inflammation and cytokine storm, which consequently impairs the respiratory system and multiple organs, or even cause death. SARS-CoV-2 activates inflammasomes and inflammasome-mediated inflammatory signaling pathways, which are key determinants of hyperinflammation and cytokine storm in COVID-19 patients. Additionally, SARS-CoV-2 inhibits inflammasome activation to evade the host's antiviral immunity. Therefore, regulating inflammasome initiation has received increasing attention as a preventive measure in COVID-19 patients. Ginseng and its major active constituents, ginsenosides and saponins, improve the immune system and exert anti-inflammatory effects by targeting inflammasome stimulation. Therefore, this review discussed the potential preventive and therapeutic roles of ginseng in COVID-19 based on its regulatory role in inflammasome initiation and the host's antiviral immunity.

A Clinical Case of Lymphadenopathy and Hearing Loss after Covid-19 Vaccination (COVID-19 백신 접종 후 발생한 라력(瘰癧)과 이롱(耳聾)에 대한 치험 1례)

  • Kim, Kyung-Jun
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.35 no.3
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    • pp.95-106
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    • 2022
  • Objectives: The purpose of this study is to report a case of lymphadenopathy and hearing loss in a patient after coronavirus disease 2019(COVID-19) vaccination. Methods: The patient diagnosed as lymphadenopathy and hearing loss(sensorineural hearing loss) after the first and second rounds of the Pfizer COVID-19 vaccination. We applied Korean medical treatment including herbal medicine and acupuncture for lymphadenopathy and SSNHL. We used VAS(Visual Analog Scale), CT-scan and Pure Tone Audiometry to estimate they symptoms. Results: After the treatment, general symptoms of lymphadenopathy and hearing loss including aural fullness showed big improvement. Conclusions: This case report shows effect of Korean medicine on lymphadenopathy and SSNHL and suggests a possibility of Korean medicine to treat adverse events following COVID-19 vaccination.

Influence of COVID-19 Anxiety on Vigor and Innovative Work Behavior: Mediated Moderation of Flexible Work Arrangement

  • Jonghun Sun;Yoon Soo Jun
    • Science of Emotion and Sensibility
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    • v.26 no.2
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    • pp.3-12
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    • 2023
  • The present study examines the impact of COVID-19 anxiety on employees' psychological resources and behaviors, drawing on the conservation of resources theory. We also investigate whether flexibility in work contexts has a meaningful effect on employees' responses to the pandemic. A total of 284 working adults participated in an online survey consisting of self-reporting questionnaires that assessed levels of COVID-19 anxiety, vigor, innovative work behavior, and flexible working arrangements. The results showed that the level of vigor mediated the positive relationship between COVID-19 anxiety and innovative work behavior, and the perceived level of flexible working arrangements moderated this mediation effect positively. The findings highlight the importance of considering employees' psychological resources and work arrangements in managing the negative impact of COVID-19-related anxiety. This study provides theoretical and practical implications for organizations to better understand the psychological processes that employees undergo during a crisis. Further research on diverse work settings and cultural backgrounds is needed to expand on the present findings.

Guillain-Barré Syndrome-like Neurological Symptoms after COVID-19 Vaccination Treated with Traditional Korean Medicine: A Case Report

  • Hyeon-muk Oh;Chang-gue Son
    • The Journal of Internal Korean Medicine
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    • v.43 no.6
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    • pp.1255-1263
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    • 2022
  • Objective: To report a clinical case of Guillain-Barré syndrome-like neurological symptoms, including limb weakness, phantosmia, and nausea/vomiting after COVID-19 vaccination (AstraZeneca) that was improved by traditional Korean medicine (TKM) treatment. Methods: A 73-year-old male complained of extreme limb weakness, severe phantosmia, and nausea/vomiting after COVID-19 vaccination. No abnormalities had appeared in various radiological and laboratory tests, but the symptoms had continued to worsen for three months before visiting our clinic. Results: The patient was diagnosed with neurological complications suspicious of Guillain-Barré syndrome after COVID-19 vaccination. The patient was treated with acupuncture, moxibustion, herbal drugs (Banhabakchulchunma-tang), and nasal inhalation therapy with Aquilariae Lignum. Three weeks after Korean medicine treatment, his neurological symptoms had improved. Nausea/vomiting and phantosmia continued to show improvement, and muscle strength was gradually recovered in both lower limbs. Conclusion: Traditional Korean medicine could be a choice for the treatment of neurological complications after COVID-19 vaccination.

A Case of Aphthous Stomatitis in a Healthy Adult Following COVID-19 Vaccination: Clinical Reasoning

  • Kim, Hye Kyoung;Kim, Mee Eun
    • Journal of Oral Medicine and Pain
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    • v.47 no.1
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    • pp.62-66
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    • 2022
  • Recent case studies raised the possibility that cutaneous and oral mucosal manifestations may be associated with the coronavirus disease 2019 (COVID-19) vaccination. A healthy 43-year-old male presented an acute aphthous stomatitis following Moderna COVID-19 vaccination. This rare case draws attention to a potential etiologic effect for oral mucosal manifestation from COVID-19 vaccination. Further investigation to shed light on prevalence and pathophysiologic association of this oral lesion and COVID-19 vaccination deserve attention.

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.

Poly-encoder based COVID-19 Question and Answering with Task Adaptation (Poly-encoder기반의 COVID-19 질의 응답 태스크)

  • Lee, Seolhwa;Lim, Heuiseok
    • Annual Conference on Human and Language Technology
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    • 2020.10a
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    • pp.188-191
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    • 2020
  • 본 연구는 COVID-19 질의 응답 태스크를 위한 Poly-encoder 기반의 태스크를 제안하였다. COVID-19 질의 응답 시스템은 사람들에게 최신 정보에 대해 빠르고 신뢰성이 높은 정보를 전달하는 특성을 가져야한다. 검색 기반 질의 응답 시스템은 pairwise 연산을 기반으로 수행되는데, Poly-encoder는 사전 학습된 트랜스포머(transformer)기반의 pairwise 연산 방법론 중 기존 Cross-encoder와 Bi-encoder보다 실사용 및 성능이 뛰어남을 보였다 [1]. 특히, Poly-encoder는 정확도가 높으면서도 빠른 응답속도를 가지며 검색기반의 각종 태스크에서 좋은 성능을 보였다. 따라서 본 연구는 COVID-19를 위한 Poly-encoder기반의 질의 응답 태스크를 위하여 기존 질의 응답 태스크와 페르소나 기반의 질의 응답 태스크로 두 가지 유형의 태스크를 생성하여 모델을 학습하였다. 또한 신뢰성 있는 리소스정보로부터 모델에 최신 정보 반영을 위하여 자동 크롤러를 구축하여 데이터를 수집하였다. 마지막으로 전문가를 통한 데이터셋을 구축하여 질문-응답과 질의어-질문에 대한 모델 검증을 수행하였다.

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Emergency Management Policy Issues during and after COVID-19: Focusing on South Korea

  • Ki Woong Cho;Dongkyun Park
    • Journal of Contemporary Eastern Asia
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    • v.22 no.1
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    • pp.49-81
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    • 2023
  • South Korea is currently facing many changes and challenges. To make matters worse, society has struggled to function as it did before COVID-19. This study describes the past and current COVID-19 situation to offer lessons on management during and after COVID-19. We provide implications from COVID-19 and the foundation for future disasters by employing the strengths, weaknesses, opportunities, and threats (SWOT) analysis and indigenous administrative conceptual framework on culture, institution, and instrument to add a circumstance perspective. This study used secondary data from prior research and literature. Resolutions for these policy issues are presented using the strength-opportunity (SO), strength-threat (ST), weakness-opportunity (WO), and weakness-threat (WT) strategies. We suggest utilizing instruments that consider diverse societies and preventing the disease with climate change by collaborating with social institutions. We hope these implications and resolutions will provide insights for the future and other countries.

Automatic COVID-19 Prediction with Optimized Machine Learning Classifiers Using Clinical Inpatient Data

  • Abbas Jafar;Myungho Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.539-541
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    • 2023
  • COVID-19 is a viral pandemic disease that spreads widely all around the world. The only way to identify COVID-19 patients at an early stage is to stop the spread of the virus. Different approaches are used to diagnose, such as RT-PCR, Chest X-rays, and CT images. However, these are time-consuming and require a specialized lab. Therefore, there is a need to develop a time-efficient diagnosis method to detect COVID-19 patients. The proposed machine learning (ML) approach predicts the presence of coronavirus based on clinical symptoms. The clinical dataset is collected from the Israeli Ministry of Health. We used different ML classifiers (i.e., XGB, DT, RF, and NB) to diagnose COVID-19. Later, classifiers are optimized with the Bayesian hyperparameter optimization approach to improve the performance. The optimized RF outperformed the others and achieved an accuracy of 97.62% on the testing data that help the early diagnosis of COVID-19 patients.