• Journal of muscle and joint health
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• v.31 no.2
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• pp.107-116
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• 2024

Purpose: The purpose of this study was to identify the effects of infection control performance, infection control fatigue, and social support on the burnout of nurses working at National Safe Hospitals during the coronavirus disease (COVID-19) pandemic, and to use that data to suggest methods to reduce burnout among nurses. Methods: From June 30 to September 30, 2021, data were collected from 144 nurses who both consented to participate in the study and had worked for more than six months in National Safe Hospitals with 300 or more beds in the Gyeonggi-do Province in Korea. Data were analyzed using multiple regression analysis. Results: The factors affecting nurses' burnout at National Safe Hospitals during the COVID-19 pandemic were found to be infection control fatigue (β=.60, p<.001) and social support (β=-.27, p<.001). The explanatory power of these factors was 37.0%. Conclusion: Nurses' burnout at National Safe Hospitals was found to be at a moderate level. Burnout should be reduced through human, material, and administrative support, all of which can reduce infection-control fatigue. It is also necessary to develop both a non-face-to-face social-support-reinforcement program, considering restrictions mandated by infectious-disease pandemics, and a long-term intervention strategy to prevent burnout.

• Prospectives of Industrial Chemistry
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• v.23 no.5
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• pp.1-11
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• 2020

2019년 12월 중국에서 최초 보고된 이후 COVID-19 전염병은 전 세계에 대유행(팬데믹)을 확산하면서 역사적인 변화를 일으키고 있다. 경제, 사회 전반에 코로나 전과 코로나 후에 대한 새로운 규범과 질서를 강요하고 있다. 이에 본 고는 코로나19에 대한 이해와 그 영향 및 파급효과와 이를 대처하기 위한 세계 각국의 정책 현황을 살펴보았다. 특히, 치료제와 백신 등 과학적 해결을 위해 치열한 경쟁을 펼치고 있는 연구개발 현황을 고찰함으로써 한국의 관련 과학기술 정책과 연구개발의 방향을 모색하고자 하였다. 코로나19가 몰고 온 커다란 글로벌 위기를 통해 세계 질서가 재편될 가능성이 높아지고 있다. 현재까지 한국은 K-방역을 통해 모범적 방향을 제시하고 있다. 이는 과학기술과 연구개발 및 관련 정책들이 적절하게 역할을 한 결과로 평가된다. 본 고에서 고찰된 내용은 이러한 긍정적 효과를 지속적으로 유지하고 제고하는데 도움이 되고자 하는 것이다.

• Journal of Korea Entertainment Industry Association
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• v.15 no.2
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• pp.149-157
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• 2021

One year has passed since the pandemic of COVID-19, which occurred in Wuhan, China, in November 2019 began. Worldwide, as of January 2021, more than 95 million people have been infected, and the death toll is higher than 2 million. In Korea, there are 74,262 infected and 1,328 dead, and government policies such as social distancing to prevent infection are being implemented. Accordingly, many inconveniences occurred in the physical activity environment, such as the closure of various sports facilities. It was necessary to consider physical activities to maintain healthy life while cooperating with the national policy while preventing infection. This study investigated the benefits of physical activity to reduce the risk of trichomoniasis and diabetes, improve bone mineral density, prolong healthy lifespan, maintain activity performance with aging, and improve psychological anxiety and depression. In addition, the physiological changes that may occur in the situation of stopping exercise due to social distancing to prevent COVID-19 infection were reviewed. In addition, moderate-intensity exercise that helps strengthen immune function by activating natural killer cells, neutrophils, and antibody responses was investigated. In addition, it reduces the level and function of blood B-cells, T-cells, and natural killer cells for several hours, decreases phagocytosis of neutrophils in the nasal cavity, increases inflammatory cytokines, decreases immune function, and increases infection. High-intensity exercise was considered. Therefore, in the age of COVID-19, long-term high-intensity exercise such as marathon, which causes impaired immune function, should be refrained from. And you should do moderate-intensity regular aerobic exercise such as fast walking to help prevent infection. It is also recommended to participate in resistance exercises to prevent loss of muscle mass.

• Journal of Appropriate Technology
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• v.7 no.1
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• pp.102-114
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• 2021

India has recently experienced an acute crisis confronting the COVID-19 pandemic as confirmed cases exceeded 11.73 million in March 2021, which was the second worst scale only after the United States. The strict lockdown measures as well as the pandemic itself posed a serious threat of survival, in particular, to immigrant workers engaged in informal sectors, which triggered their reverse immigration. In case the COVID-19 pandemic continues in 2021, it is estimated that in the sector of tourism and service alone, more than 20 million jobs will disappear. The damage on industry is already being realized with the significant decrease of workforce. It is important to note, however, that jobless growth and labor polarization were observed even before the outbreak of COVID-19, and that the pandemic only served as one of the trigger catalysts that made those submerged problems burst out. In this study, we examine the structural problems in industry and labor market in India and consider the social context and efficacy of the "Make in India" or "Atmanirbhar Bhrat" policy. The latter initiative was presented in the trenches of the pandemic in 2020. While considering the complexity of problems, we would like to pursue a future-oriented approach and propose a direction in restructuring the labor market, attempted at reversing the critical conditions following the fourth industrial revolution and digitization into the shortcut to labor market restructuring.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.193-203
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• 2022

The purpose of this study was to analyze the effect of home training with app on metabolic syndrome risk factors and atherogenic index in on obese middle aged women. It was carried out to present as an intervention method for improving obesity in the pandemic era of COVID-19. The subjects of this study were 33 obese middle aged women, AHTG(n=15) and CG(n=18). Home training using the app for 8 weeks was conducted 3 times a week. The results of this study as follow, metabolic syndrome risk factors was WC(p<.001) significantly decreased, HDL-C(p<.05) significantly increased and atherogenic index was LDL-C/HDL-C(p<.01) significantly increased in the AHTG. In the era of the COVID-19 pandemic, PA plays an important role in alleviating the severe COVID-19 pandemic, in addition to its ameliorating effects on several chronic diseases. The possibility of home training using an app is an effective intervention method for preventing obesity and metabolic syndrome.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.31-32
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• 2021

신종 코로나바이러스 감염증(Coronavirus disease 2019; COVID-19)이 빠르게 확산됨에 따라 세계적인 전염병 대유행인 팬데믹(Pandemic)으로 선언되었다. 감염자들은 꾸준히 증가하고 있고 최근에는, 무증상 감염자들이 나타나고 있어 의심 환자를 조기에 판단하고 선별할 수 있는 기술이 필요하다. 본 논문에서는 흉부 방사선 검사(chest Radiography; CXR) 영상을 딥러닝(Deep Learning)하여 정상인, 폐렴 환자, 코로나바이러스 감염자를 분류할 수 있도록 한다.

• Journal of Life Science
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• v.30 no.8
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• pp.731-741
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• 2020

Coronavirus disease 19 (COVID-19) is caused by SARS-CoV-2 (Severe Acute Respiratory SyndromeCoronavirus 2). To date, seven coronaviruses that can infect humans were reported. Among them, infections with four coronavirus strains (HCoV-229E, HCoV-OC43, HCoV-NL63, and HCoV-HKU1) resulted in mild symptoms such as common cold, whereas SARS-CoV and MERS-CoV caused severe symptoms and epidemics in 2002 and 2012, respectively. In the most recent, SARS-CoV-2 was first reported in Wuhan, China in December 2019 and became a notorious cause of the ongoing global pandemics. To diagnose, treat, and prevent COVID-19, the development of rapid and accurate diagnostic tools, specific therapeutic drugs, and safe vaccines essentially are required. In order to develop these powerful tools, it is prerequisite to understand a phenotype, a genotype, and life cycle of SARS-CoV-2. Diagnostic techniques have been developing rapidly around world and many countries take the fast track system to accelerate approval. Approved diagnostic devices are rapidly growing facing to urgent demand to identify carriers. Currently developed commercial diagnostic devices are divided into mainly two categories: molecular assay and serological & immunological assay. Molecular assays begins the reverse transcription step following polymerase chain reaction or isothermal amplification. Immunological assay targets SARS-CoV-2 antigen or anti-SARS-CoV-2 antibody of samples. In this review, we summarize the phenotype, genome structure and gene expression of SARS-CoV-2 and provide the knowledge on various diagnostic techniques for SARS-CoV-2.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.27-34
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• 2021

This study aims to provide basic data to identify the effects of oral health behavior and autologous oral health symptoms on factors that affect quality of life of COVID-19 (coronavirus disease 19) depression. This study collected data from July 2020 to September 2020, the research method was finally analyzed for 89 people in the group of depression non-increase and 86 people in the group of depression due to COVID-19. As an analysis method, oral health behavior, autologous oral health symptom and quality of life were compared, and the hierarchical regression analysis was implemented to check the effect of depression on the quality of life. As a result, the effects of depression (��=-0.155, p=0.012) and autologous oral health symptoms (��=0.524, p<0.001) were significant as a result of controlling demographic characteristics and checking the effects on quality of life. Therefore, it is urgent to develop programs related to the mental health of the community to relieve depression and anxiety with COVID-19, and public relations activities will be needed to relieve anxiety about dental visits so that dental treatment can be received at an appropriate time.

• Journal of Industrial Convergence
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• v.20 no.6
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• pp.83-92
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• 2022

This study is to investigate the factors affecting post-traumatic stress disorder (PTSD) symptoms among hospital nurses during the COVID-19 pandemic in Korea. Cross-sectional, descriptive design is used in this study. Data collection was completed through an online self-administered survey from December 2020 to January 2021 among 180 registered nurses dealing with COVID-19 patients at hospitals. This survey includes socio-demographic questions, including a 22-item PTSD questionnaire, a 14-item type D personality questionnaire, a 25-item resilience questionnaire, and a 23-item Social Support Scale questionnaire. 56.1% of the subjects in this study were at risk of PTSD. In the high-risk group for PTSD, resilience and social support were lower than those in the low-risk group for PTSD. But there was no statistically significant difference in both variables (resilience t=0.21, p=.836, social support t=1.07, p=.287). However, education (OR = 2.23, p= .041) and type D personality (OR = 3.67, p < .001) were significant factors for PTSD symptoms. The results of the study can be utilized to recognize PTSD in nurses by identifying factors influencing PTSD during epidemics such as COVID-19, and to apply management systems such as psychological programs to help overcome them.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.91-101
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• 2021

This paper intends to draw implications for preparing for Post-Corona in the health field and policy fields as the global pandemic is experienced due to COVID-19. The purpose of this study is to analyze the news and trends of media companies through temporal analysis of the three infectious diseases, SARS-CoV, MERS-CoV, and SARS-CoV-2 (COVID-19), in which the domestic infectious disease preventive system was active throughout the first year of the outbreak. To this end, by using the news analysis program of the Korea Press Foundation 'Big Kinds', the number of news articles per year was digitized based on the period when each infectious disease had an impact on Korea, and major trends were implemented and analyzed in a word cloud. As a result of the analysis, the number of articles related to infectious diseases peaked when the World Health Organization (WHO) declared a warning and (suspicious) confirmed cases occurred. According to keyword and word cloud analysis, 'infectious disease outbreak and major epidemic areas', 'prevention authorities', and 'disease information and confirmed patient information' were found to be the main common features, and differences were derived from the three infectious diseases. In addition, the current status of the infodemic was identified by performing word cloud analysis on information in uncertainty. The results of this study are significant in that they were able to derive the roles of the health authorities and the media that should be preceded in the event of a new disease epidemic through previously experienced infectious diseases, and areas to be rearranged.