• 한국도서관정보학회지
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• 제51권3호
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• pp.251-279
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• 2020

본 연구는 최근 코로나바이러스감염증-19(코로나19)가 도서관 내외부 환경에 미친 파장에 주목하고, 감염병의 사회적 확산에 따른 도서관계의 대응 활동 양상을 살펴보았다. 또한 도서관을 둘러싼 환경 변화를 가늠하기 위하여 텍스트 마이닝 기술을 활용해 뉴스의 보도 양상과 주요 이슈 변화를 분석함으로써 코로나19에 대한 국내 도서관계의 대응을 파악하였으며, 소셜미디어를 통해 도서관에 대한 이용자들의 인식과 요구가 어떻게 변화하였는지 알아보았다. 수집된 뉴스보도 1,852건과 도서관 관련 트윗 227,983건을 대상으로 주요 이슈를 도출한 결과, 비대면 상황의 장기화, 전자책 대출의 증가, 온라인 서비스 및 사서에 대한 기대감 향상, 도서관 공간 요구의 재조명이라는 시사점을 도출하였다. 마지막으로 언택트(비대면) 상황에서 제공된 도서관 서비스들의 대표 사례를 선정하여 장서, 서비스, 공간으로 구분·정리함으로서 향후 포스트 코로나 시대에 대응하는 도서관 서비스의 방향성을 가늠하고자 하였다.

• Clinical and Experimental Pediatrics
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• 제55권12호
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• pp.470-473
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• 2012

Purpose: The purpose of this prospective case-control study was to survey the detection rate of respiratory viruses in children with Kawasaki disease (KD) by using multiplex reverse transcriptase-polymerase chain reaction (RT-PCR), and to investigate the clinical implications of the prevalence of respiratory viruses during the acute phase of KD. Methods: RT-PCR assays were carried out to screen for the presence of respiratory syncytial virus A and B, adenovirus, rhinovirus, parainfluenza viruses 1 to 4, influenza virus A and B, metapneumovirus, bocavirus, coronavirus OC43/229E and NL63, and enterovirus in nasopharyngeal secretions of 55 KD patients and 78 control subjects. Results: Virus detection rates in KD patients and control subjects were 32.7% and 30.8%, respectively (P=0.811). However, there was no significant association between the presence of any of the 15 viruses and the incidence of KD. Comparisons between the 18 patients with positive RT-PCR results and the other 37 KD patients revealed no significant differences in terms of clinical findings (including the prevalence of incomplete presentation of the disease) and coronary artery diameter. Conclusion: A positive RT-PCR for currently epidemic respiratory viruses should not be used as an evidence against the diagnosis of KD. These viruses were not associated with the incomplete presentation of KD and coronary artery dilatation.

• Genomics & Informatics
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• 제19권1호
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• pp.11.1-11.8
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• 2021

For the novel coronavirus disease 2019 (COVID-19), predictive modeling, in the literature, uses broadly susceptible exposed infected recoverd (SEIR)/SIR, agent-based, curve-fitting models. Governments and legislative bodies rely on insights from prediction models to suggest new policies and to assess the effectiveness of enforced policies. Therefore, access to accurate outbreak prediction models is essential to obtain insights into the likely spread and consequences of infectious diseases. The objective of this study is to predict the future COVID-19 situation of Korea. Here, we employed 5 models for this analysis; SEIR, local linear regression (LLR), negative binomial (NB) regression, segment Poisson, deep-learning based long short-term memory models (LSTM) and tree based gradient boosting machine (GBM). After prediction, model performance comparison was evelauated using relative mean squared errors (RMSE) for two sets of train (January 20, 2020-December 31, 2020 and January 20, 2020-January 31, 2021) and testing data (January 1, 2021-February 28, 2021 and February 1, 2021-February 28, 2021) . Except for segmented Poisson model, the other models predicted a decline in the daily confirmed cases in the country for the coming future. RMSE values' comparison showed that LLR, GBM, SEIR, NB, and LSTM respectively, performed well in the forecasting of the pandemic situation of the country. A good understanding of the epidemic dynamics would greatly enhance the control and prevention of COVID-19 and other infectious diseases. Therefore, with increasing daily confirmed cases since this year, these results could help in the pandemic response by informing decisions about planning, resource allocation, and decision concerning social distancing policies.

• The Journal of Asian Finance, Economics and Business
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• 제9권4호
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• pp.29-38
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• 2022

The enormous sway of COVID-19 on the international financial market has been felt across the globe. The financial markets of Bangladesh have also been similarly affected by the global epidemic and experienced a significant increase in volatility. To scrutinise the connection between COVID-19 and the Dhaka Stock Exchange (DSE) indices' return and instability, this study uses data of the DSE from February 2014 to September 2021. A comparative examination of the return and instability of the stock indices of the DSE has also been done considering the outbreak of the current COVID-19 situation. After using the GJR-GARCH (1,1) model, this review uncovers that the outbreak of COVID-19 has a statistically positive noteworthy association with the DSE stock indices' instability, which increases the market's volatility. Traders' fear and the rising frequency of COVID-19 reported patients could cause this. Besides, according to this study, COVID-19 shows a substantial positive linkage with stock market returns that increases the market's return. An appealing valuation, lower interest rates in the banking channel, economic rebound following the closure to prevent coronavirus transmission, improved remittance inflows, and a return of export revenues could all have contributed to this outcome. In addition, the findings also reveal that all market indices are in a mean-reverting phase.

• Journal of Preventive Medicine and Public Health
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• 제55권6호
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• pp.568-577
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• 2022

Objectives: Many studies have shown that social distancing, as a non-pharmaceutical intervention (NPI) that is one of the various measures against coronavirus disease 2019 (COVID-19), is an effective preventive measure to suppress the spread of infectious diseases. This study explored the relationships between traditional health-related behaviors in Korea and social distancing practices during the COVID-19 pandemic. Methods: Data were obtained from the 2020 Community Health Survey conducted by the Korea Disease Control and Prevention Agency (n=98 149). The dependent variable was the degree of social distancing practice to cope with the COVID-19 epidemic. Independent variables included health-risk behaviors and health-promoting behaviors. The moderators were vaccination and unmet medical needs. Predictors affecting the practice of social distancing were identified through hierarchical multiple logistic regression analysis. Results: Smokers (adjusted odds ratio [aOR], 0.924) and frequent drinkers (aOR, 0.933) were more likely not to practice social distancing. A greater degree of physical activity was associated with a higher likelihood of practicing social distancing (aOR, 1.029). People who were vaccinated against influenza were more likely to practice social distancing than those who were not (aOR, 1.150). However, people with unmet medical needs were less likely to practice social distancing than those who did not experience unmet medical needs (aOR, 0.757). Conclusions: Social distancing practices were related to traditional health behaviors such as smoking, drinking, and physical activity. Their patterns showed a clustering effect of health inequality. Therefore, when establishing a strategy to strengthen social distancing, a strategy to protect the vulnerable should be considered concomitantly.

• Clinical and Experimental Pediatrics
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• 제65권5호
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• pp.230-238
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• 2022

Myocarditis was previously attributed to an epidemic viral infection. Additional harmful reagents, in addition to viruses, play a role in its etiology. Coronavirus disease 2019 (COVID-19) vaccine-induced myocarditis has recently been described, drawing attention to vaccine-induced myocarditis in children and adolescents. Its pathology is based on a series of complex immune responses, including initial innate immune responses in response to viral entry, adaptive immune responses leading to the development of antigen-specific antibodies, and autoimmune responses to cellular injury caused by cardiomyocyte rupture that releases antigens. Chronic inflammation and fibrosis in the myocardium eventually result in cardiac failure. Recent advancements in molecular biology have remarkably increased our understanding of myocarditis. In particular, microRNAs (miRNAs) are a hot topic in terms of the role of new biomarkers and the pathophysiology of myocarditis. Myocarditis has been linked with microRNA-221/222 (miR-221/222), miR-155, miR-10a^*, and miR-590. Despite the lack of clinical trials of miRNA intervention in myocarditis yet, multiple clinical trials of miRNAs in other cardiac diseases have been aggressively conducted to help pave the way for future research, which is bolstered by the success of recently U.S. Food and Drug Administration-approved small-RNA medications. This review presents basic information and recent research that focuses on myocarditis and related miRNAs as a potential novel biomarker and the therapeutics.

• 한국간호교육학회지
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• 제28권4호
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• pp.444-455
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• 2022

Purpose: This study explored the meaning of the social perceptions of nurses in online news articles during the coronavirus disease 2019 (COVID-19) pandemic. Methods: A total of 339 nurse-related articles published in Korean online newspapers from January 1 to December 31, 2020, were extracted by entering various combinations of OR and AND with the four words "Corona," "COVID," "Nursing," and "Nurse" as search keywords using BIGKinds, a news database provided by the Korea Press Foundation. The collected data were analyzed with a keyword network analysis and topic modeling using NetMiner 4. Results: The top keywords extracted from the nurse-related news articles were, in the following order, "metropolitan area," "protective clothing," "government," "task," and "admission." Four topics representing keywords were identified: "encouragement for dedicated nurses," "poor work environment," "front-line nurses working with obligation during the COVID-19 pandemic," and "nurses' efforts to prevent the spread of COVID-19." Conclusion: The media's attention to the dedication of nurses, the shortage of nursing resources, and the need for government support is encouraging in that it forms the public opinion necessary to lead to substantial improvements in treating nurses. The nursing community should actively promote policy proposals to improve treatment toward nurses by utilizing the net function of the media and proactively seek and apply strategies to improve the image of nurses working in various fields.

• International Journal of Computer Science & Network Security
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• 제24권3호
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• pp.125-134
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• 2024

The novel coronavirus 2019 is called COVID-19 has outspread swiftly worldwide. An early diagnosis is more important to control its quick spread. Medical imaging mechanics, chest calculated tomography or chest X-ray, are playing a vital character in the identification and testing of COVID-19 in this present epidemic. Chest X-ray is cost effective method for Covid-19 detection however the manual process of x-ray analysis is time consuming given that the number of infected individuals keep growing rapidly. For this reason, it is very important to develop an automated COVID-19 detection process to control this pandemic. In this study, we address the task of automatic detection of Covid-19 by using a popular deep learning model namely the VGG19 model. We used 1300 healthy and 1300 confirmed COVID-19 chest X-ray images in this experiment. We performed three experiments by freezing different blocks and layers of VGG19 and finally, we used a machine learning classifier SVM for detecting COVID-19. In every experiment, we used a five-fold cross-validation method to train and validated the model and finally achieved 98.1% overall classification accuracy. Experimental results show that our proposed method using the deep learning-based VGG19 model can be used as a tool to aid radiologists and play a crucial role in the timely diagnosis of Covid-19.

• 한국도서관정보학회지
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• 제54권4호
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• pp.205-228
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• 2023

2020년, 신종 코로나바이러스 감염병(COVID-19)은 전 세계를 강타하였다. 국가를 망라하여 인류의 생명을 위협했을 뿐만 아니라 사회, 경제적 등 다방면으로 타격을 입혔다. 본 연구는 코로나19 팬데믹 상황에서 국내 공공도서관이 어떻게 대응했는지, 나아가 직면한 어려움은 무엇이었는지 이해하고, 앞으로 다가올 또 다른 재난상황에서 공공도서관은 어떠한 역할을 기대하는지를 알아보고자 진행하였다. 317명의 국내 공공도서관 사서들에게 온라인 설문응답을 확보하였고, spss를 통해 응답을 분석하였다. 또한 양적연구의 한계를 보완하기 위하여, 설문지에 주관식 질문을 추가하여 사서들의 자유로운 의견을 청취하였다. 그 결과, 팬데믹 상황에서 사서들은 다양한 새로운 서비스를 제공하고자 노력하였고, 비대면및 온라인서비스 제공의 어려움을 보고하였다. 또한, 15.5%의 응답자만이 도서관 직원을 위한 워크샵을 경험하였으며, 53.3%의 사서들은 소독 등 방역업무 추가로 인한 업무과중을 보고하였다. 차후에 감염병으로 인한 재난상황이 닥쳤을 때에는 공공도서관의 다수의 역할들 가운데 다양한 정보자원을 제공함으로써 대중을 안내하는 정보 제공자로서의 역할이 가장 중요함을 시사하였다. 본 연구의 주요 결과를 토대로 타 국가 도서관들의 대응과 재난상황시 기대되는 역할을 비교 및 대조하며 향후 연구에 대한 시사점을 논의하였다.

• 대한예방한의학회지
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• 제28권2호
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• pp.67-83
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• 2024

Background : Coronavirus disease 2019 (COVID-19) pandemic has profoundly impacted all aspects of life, from disease prevalence to the utilization of medical services. In Republic of Korea, there exists both a duty and a right for Korean Medicine to treat epidemic diseases. However, no studies have been conducted to examine changes in the utilization of Korean Medicine during the pandemic. This study aims to identify the differences in the utilization of Korean Medicine before and after COVID-19. Method : This study analyzed data from the Health Insurance Statistics of the National Health Insurance Service and the Health Insurance Review & Assessment Service from 2016 to 2022. To compare the utilization of Korean Medicine with Western medicine, the analysis was limited to the clinic level. Results : The top 10 most frequently treated conditions in Korean Medicine from 2016 to 2022 remained consistent, primarily involving musculoskeletal diseases, with the exception of functional dyspepsia. Visits to Korean Medicine clinics have declined, while visits to Western Medicine clinics recovered. Despite the overall decline in visits, certain Korean Medicine services increased in frequency, especially in precipitator-simulated acupuncture, indirect moxibustion (moxa burner), pricking cupping (two areas), warming meridian sinew, and complex Chuna therapy (80% as out-of-pocket expenses). Although the relative value units in Korean Medicine services varied, the fees for all services, except for precipitator-simulated acupuncture, increased. Conclusion : These findings indicate that COVID-19 has affected the utilization of Korean Medicine. Further studies are needed to explore the broader impact of epidemics on medical services and to develop policies to address these changes.