• Title/Summary/Keyword: COVID-Pandemic

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Late Seroma in Breast Implants: A Coronavirus Disease 2019 Phenomenon?

  • Chan, Stephanie L.S;Mok, James Wan Loong
    • Archives of Plastic Surgery
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    • v.49 no.5
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    • pp.611-613
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    • 2022
  • The coronavirus disease 2019 (COVID-19) pandemic has been challenging in all aspects of the medical field with new clinical presentations constantly arising. Plastic surgeons are not immune to this and need to be aware of their implications. There has been a recent report of late periprosthetic seroma (breast implant) as a clinical manifestation of COVID-19 infection. To our knowledge, this phenomenon has not been further reported. We present a 53-year-old immunocompromised lady who developed late seroma after COVID-19 infection. She eventually required explantation of the implant and is awaiting autologous reconstruction. It is likely that we will increasingly continue to see this phenomenon of implant complications as a result of COVID-19 infection and should be watchful, especially regarding potential immunocompromised patients.

Editorial for Vol. 31, No. 1 (편집자 주: 31권 1호)

  • Kim, Young Hyo
    • Korean journal of aerospace and environmental medicine
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    • v.31 no.1
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    • pp.1-3
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    • 2021
  • In Vol. 31, No. 1, our journal prepared four review articles and two original papers. First, in commemoration of the 30th anniversary of our journal, the first review article described the history, development, and recent efforts for the qualitative improvement of the journal. For aviation workers, dizziness is an important disease that can interfere with their work. So, in the second review, we introduced guidelines that aviation medical examiners should be aware of in evaluating aviation workers who complain of dizziness. In the era of coronavirus disease 19 (COVID-19) pandemic, it is very important for aviation workers to get the vaccination safely and return to their work. So, Kwon introduced the latest updated guidelines for vaccination for aviation workers. In addition, Kim described the relationship between COVID-19 infection and respiratory allergic disease, and appropriate treatment guidelines. Lim investigated the recent trend of human papillomavirus vaccination for foreigners during the COVID-19 period, and investigated its implications. Finally, Ra developed various programs to strengthen students' global competencies and analyzed their satisfaction.

Prediction of COVID-19 Confirmed Cases in Consideration of Meteorological Factors (기상 요인을 고려한 일일 COVID-19 확진자 예측)

  • Choo, Kyung Su;Jeong, Dam;Lee, So Hyun;Kim, Byung Sik
    • 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.

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Organoid Studies in COVID-19 Research

  • Jihoon Kim;Bon-Kyoung Koo;Hans Clevers
    • International Journal of Stem Cells
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    • v.15 no.1
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    • pp.3-13
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    • 2022
  • The current COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has completely changed human life for more than two years. Upon the emergence of this new lethal virus, multiple approaches were utilized to gain basic knowledge about its biology. Moreover, modern technologies, such as the organoid model system and next-generation sequencing, enabled us to rapidly establish strategies to tackle the disease, including vaccines and therapeutics. The recently developed organoid technology reflects human physiology more closely than other model systems. Coupled with its rapidness, high efficiency, and outstanding reliability, it has provided an opportunity to develop new drugs and understand the impact of the viral pathogen on the host. Recent findings using organoids have successfully revealed the cellular tropism of the virus in different organs and identified potential drug candidates that impact the disease. This review will summarize current achievements made with organoids in the fight against COVID-19.

A Comprehensive Study of SARS-CoV-2: From 2019-nCoV to COVID-19 Outbreak

  • Waris, Abdul;Ali, Muhammad;Khan, Atta Ullah;Ali, Asmat;Baset, Abdul
    • Microbiology and Biotechnology Letters
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    • v.48 no.3
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    • pp.252-266
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    • 2020
  • The coronavirus disease 2019 (COVID-19) is a highly contagious pneumonia that has spread throughout the world. It is caused by a novel, single stranded RNA virus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Genetic analysis revealed that, phylogenetically, the SARS-CoV-2 is related to severe acute respiratory syndrome-like viruses seen in bats. Because of this, bats are considered as a possible primary reservoir. The World Health Organization has declared the COVID-19 outbreak as a pandemic. As of May 27, 2020, more than 5,406,282 confirmed cases, and 343,562 confirmed deaths have been reported worldwide. Currently, there are no approved vaccines or antiviral drugs available against COVID-19. Newly developed vaccines are in the first stage of clinical trials, and it may take a few months to a few years for their commercialization. At present, remdesivir and chloroquine are the promising drugs for treating COVID-19 patients. In this review, we summarize the diversity, genetic variations, primary reservoirs, epidemiology, clinical manifestations, pathogenesis, diagnosis, treatment strategies, and future prospects with respect to controlling the spread of COVID-19.

Experiences of Emergency Surgical Treatment for a COVID-19 Patient with Severe Traumatic Brain Injury at a Regional Trauma Center: A Case Report

  • Yun, Jung-Ho
    • Journal of Trauma and Injury
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    • v.34 no.3
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    • pp.212-217
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    • 2021
  • Various medical scenarios have arisen with the prolonged coronavirus disease 2019 (COVID-19) pandemic. In particular, the increasing number of asymptomatic COVID-19 patients has prompted reports of emergency surgical experiences with these patients at regional trauma centers. In this report, we describe an example. A 25-year-old male was admitted to the emergency room after a traffic accident. The patient presented with stuporous mentality, and his vital signs were in the normal range. Lacerations were observed in the left eyebrow area and preauricular area, with hemotympanum in the right ear. Brain computed tomography showed a contusional hemorrhage in the right frontal area and an epidural hematoma in the right temporal area with a compound, comminuted fracture and depressed skull bone. Surgical treatment was planned, and the patient was intubated to prepare for surgery. A blood transfusion was prepared, and a central venous catheter was secured. The initial COVID-19 test administered upon presentation to the emergency room had a positive result, and a confirmatory polymerase chain reaction (PCR) test was administered. The PCR test confirmed a positive result. Emergency surgical treatment was performed because the patient's consciousness gradually deteriorated. The risk of infection was high due to the open and unclean wounds in the skull and brain. We prepared and divided the COVID-19 surgical team, including the patient's transportation team, anesthesia team, and surgical preparation team, for successful surgery without any transmission or morbidity. The patient recovered consciousness after the operation, received close monitoring, and did not show any deterioration due to COVID-19.

Correlation Analysis for COVID-19 Stress, QEEG Stress Quotient, and Coping Style of Face-to-Face Service Industry Employees (대면 서비스직 종사자의 COVID-19 스트레스, 정량뇌파 스트레스 지수와 대처방식의 상관분석)

  • Weon, Hee Wook;Son, Hae Kyoung
    • Korean Journal of Occupational Health Nursing
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    • v.30 no.3
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    • pp.101-109
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    • 2021
  • Purpose: This study aimed to measure COVID-19 stress and the quantitative electroencephalography (QEEG) stress quotient and identify the coping styles of face-to-face service industry employees during the COVID-19 pandemic. Methods: This cross-sectional study administered structured questionnaires consisting of sections on general characteristics, COVID-19 stress, and coping style for stress to 21 face-to-face service industry employees between April 1 and April 18, 2021. The physical tension & stress quotient and psychological distraction & stress quotient were measured in the prefrontal lobe with QEEG. Results: Emotional easiness (r=.62, p=.002) and escape-avoidance (r=.55, p=.009) as a passive coping style were associated with COVID-19 stress, and seeking social support as an active coping style was associated with the left physical tension & stress quotient (r=.47, p=.031). Conclusion: These findings provide evidence regarding the objective status of the mental health of face-to-face service industry employees using both a self-reported scale and neuroscientific indicators, including brain quotients.

COVID19 Related Keyword Analysis: Based on Topic Modeling and Semantic Network Analysis (코로나19 관련 키워드 분석: 토픽 모델링과 의미 연결망 네트워크 분석을 중심으로)

  • Kim, Dong-wook;Lee, Min-sang;Jeong, Jae-young;Kim, Hyun-chul
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.2
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    • pp.127-132
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    • 2022
  • In the era of COVID-19 pandemic, COVID related keywords, news and SNS data are pouring out. With the help of the data and LDA topic modeling, we can check out what media reports about COVID-19 and vaccines. Also, we can be clear how the public reacts to the vaccine on social media and how this is related with the increasing number of COVID-19 patients. By using sentimental analysis methodology, we can get to know about the different kinds of reports that Korea media send out and get to know what kind of emotions that each media company uses in majority. Through this procedure, we can know the difference between the Korean media and the foreign ones. Ultimately, we can find and analyze the keyword that suddenly rose during the COVID-19 period throughout this research.

Confidence intervals for the COVID-19 neutralizing antibody retention rate in the Korean population

  • Apio, Catherine;Kamruzzaman, Md.;Park, Taesung
    • Genomics & Informatics
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    • v.18 no.3
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    • pp.31.1-31.8
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    • 2020
  • The coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a global pandemic. No specific therapeutic agents or vaccines for COVID-19 are available, though several antiviral drugs, are under investigation as treatment agents for COVID-19. The use of convalescent plasma transfusion that contain neutralizing antibodies for COVID-19 has become the major focus. This requires mass screening of populations for these antibodies. While several countries started reporting population based antibody rate, its simple point estimate may be misinterpreted without proper estimation of standard error and confidence intervals. In this paper, we review the importance of antibody studies and present the 95% confidence intervals COVID-19 antibody rate for the Korean population using two recently performed antibody tests in Korea. Due to the sparsity of data, the estimation of confidence interval is a big challenge. Thus, we consider several confidence intervals using Asymptotic, Exact and Bayesian estimation methods. In this article, we found that the Wald method gives the narrowest interval among all Asymptotic methods whereas mid p-value gives the narrowest among all Exact methods and Jeffrey's method gives the narrowest from Bayesian method. The most conservative 95% confidence interval estimation shows that as of 00:00 on September 15, 2020, at least 32,602 people were infected but not confirmed in Korea.

Analysis of Covid-19, Tourism, Stress Keywords Using Social Network Big Data_Semantic Network Analysis

  • Yun, Su-Hyun;Moon, Seok-Jae;Ryu, Ki-Hwan
    • International Journal of Advanced Culture Technology
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    • v.10 no.1
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    • pp.204-210
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    • 2022
  • From the 1970s to the present, the number of new infectious diseases such as SARS, Ebola virus, and MERS has steadily increased. The new infectious disease, COVID-19, which began in Wuhan, Hubei Province, China, has pushed the world into a pandemic era. As a result, Countries imposed restrictions on entry to foreign countries due to concerns over the spread of COVID-19, which led to a decrease in the movement of tourists. Due to the restriction of travel, keywords such as "Corona blue" have soared and depression has increased. Therefore, this study aims to analyze the stress meaning network of the COVID-19 era to derive keywords and come up with a plan for a travel-related platform of the Post-COVID 19 era. This study conducted analysis of travel and stress caused by COVID-19 using TEXTOM, a big data analysis tool, and conducted semantic network analysis using UCINET6. We also conducted a CONCOR analysis to classify keywords for clustering of words with similarities. However, since we have collected travel and stress-oriented data from the start to the present, we need to increase the number of analysis data and analyze more data in the future.