• Title/Summary/Keyword: Post Covid 19

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Life-sports Revitalize Plan for after COVID-19 (포스트 코로나 시대 생활체육 활성화 방안)

  • Jang, Jun-min;Kim, Taehong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.170-171
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    • 2021
  • Experts predict that even after the COVID-19 virus is completely over, it will be difficult to return to the pre-COVID state. As the non-face-to-face trend continued due to the prolonged COVID-19 crisis, sports activities were contracted and the amount of exercise of the people decreased. Demand for non-face-to-face services is increasing as the use of multi-use facilities is gradually restricted due to the higher level of social distancing. This study examines the actual conditions of participation in life sports and considers ways to revitalize sports for life suitable for the post-corona.

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A Study on the Digital Therapeutics Based Community Care for Rehabilitation in Dysarthria in the Post-COVID-19 Era (Post-COVID-19 시대 마비말장애 재활을 위한 디지털 치료제 기반의 커뮤니티케어 방안)

  • Lee, Sang-Do
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.313-323
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    • 2022
  • The purpose of this study was to explore ways a digital therapeutics-based community care plans for the rehabilitation in dysarthria in a situation where non-face-to-face services are expanding in the COVID-19 era. To this end, a qualitative study was conducted on experts working in hospitals, speech-language pathology centers, and social welfare centers, and as a result of the study, 3 topics, 9 sub-themes, and 18 content units were derived. Based on the analysis results, the digital therapeutics-based community care model consisted of 9 types: remote diagnosis, telepractice, rehabilitation training program, peer supporters, clinical support, communication, psychosocial intervention, and care plan services. This study will be able to provide basic data for health care & welfare services using digital therapeutics and guidelines for establishing shared care plans based on multidisciplinary cooperation.

Focus Group Interview(FGI) Study on 'K-Edu' Experienced by School Teachers In COVID19 (코로나19에 대응하며 현장교사들이 경험한 'K-교육'에 대한 FGI(Focus Group Interview) 연구)

  • Choi, Sung-Kwang;Choi, Mi-Jung
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.2
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    • pp.179-189
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    • 2021
  • As the school was in crisis due to the COVID-19, e-Learning was extended. Although it was difficult for everyone, e-Learning were stabilized with the enthusiasm and efforts of school teachers. Online education in Korea, called 'K-edu' is being promoted by school teachers in COVID19, and is considered an important area of future education beyond the post corona. Therefore, analyze the meaning of K-edu experienced by school teachers, studying changes in the educational paradigm in the Post-COVID era is very important in establishing the direction and content of future education. In this study described the K-edu experienced by school teachers in response to Corona 19 as 'changed daily life of school teachers', 'changes in schools', 'difficulties felt by teachers' and 'proposals for K-edu' through the qualitative research method FGI. Based on this, the characteristics of K-edu that changed through COVID-19 were analyzed as 'expansion of educational space', 'expansion of educational form' and 'highlighting the importance of face-to-face education'. Through this study, we hope that K-Edu led by school teachers will serve as a cornerstone for leading the world beyond Korea.

Exploring Factors affecting the Intention to Run University Remote Classes in the Post-COVID-19 Era (포스트 코로나 시대 대학 원격수업 운영 의사에 영향을 미치는 요인 탐색)

  • Kim, Sunyoung
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.559-564
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    • 2021
  • The purpose of this study is to explore the factors that affect the intention to run remote classes after COVID-19 with university professors have fully experienced remote classes due to COVID-19. The research questions are what are the factors and the combinations of factors that affect the intention to run remote classes in the post-COVID-19. Data were collected through a survey of 311 remote classes at S Univ. in Seoul in fall 2020, and individuals and combinations of factors were confirmed through logistic regression analysis and decision tree analysis. As a result, individual factors were quality management, online office hours, quizzes midterm oral exams, video development, and student-student and instructor-student Q&A type between face-to-face and remote class. As combinations of factors, it was found that quality management×quiz×student Q&A and quality management×quiz×voting type had an effect on whether to run remote classes. Based on the results, we proposed to run and support remote classes in the post-COVID-19 era.

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.

Examining Tourists' Behavior Using Protection Motivation Theory and Health Belief Model: Covid-19 Crisis (보호동기이론(PMT)과 건강신념모델(HBM)을 이용한 관광객 위기대응 행동 분석: COVID-19 위기)

  • Woo, Eun-Ju;Lee, Sang-Tak
    • Asia-Pacific Journal of Business
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    • v.13 no.1
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    • pp.301-315
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    • 2022
  • Purpose - The main objective of this study was to investigate tourists behavior by applying protection motivation theory and health belief model during COVID-19 pandemic. Specifically, the study examined how risk perception of COVID-19 affects tourists' protection motivation and travel avoidance intention. Design/methodology/approach - The empirical data was collected by self-administered questionnaires to obtain perception and behavior regarding COVID-19 pandemic situation. A total of 486 questionnaires were used for data analysis and SEM analysis was applied in order to examine seven hypotheses. Findings-The results showed that COVID-19 risk perception is a significant antecedent of threat appraisal, coping appraisal, and cue to action (H1, H2, H6). Moreover, protection motivation is affected by threat appraisal and coping appraisal (H3, H4) and influences on travel avoidance intention (H5). However, cue to action does not affect protection motivation (H7). Research implications or Originality - This study provides insightful implications for tourism industry practitioners who will prepare the post-corona field and the results enrich knowledge of the tourist behavior during pandemic situation.

Physiotherapy Management for COVID-19 (코비드-19와 물리치료적 접근)

  • Han, Yun-A;Roh, Hyo-Lyun
    • Journal of the Korean Society of Physical Medicine
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    • v.15 no.3
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    • pp.135-147
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    • 2020
  • PURPOSE: The purpose of this paper is to provide a review of physiotherapy intervention for patients with COVID-19 during their hospital admission and post-discharge. METHODS: The recommendations and guidelines of physiotherapy management, medical management, and general information of the WHO, Australian Physiotherapist, European Respiratory Society, British Thoracic Society, and American Thoracic Society were reviewed. RESULTS: This paper contains general information on COVID-19, including medical management, and the importance of physiotherapy approaches including an assessment of the patients' function, such as the 6-minute walking test, five sit to stand or sit to stand for one minute to measure their function as their recovery journey. The patients' quality of life, anxiety, and depression should be considered. Physiotherapy management should be based on an assessment of the patient's presenting impairments, including inclusion and exclusion of physiotherapy intervention. The paper also approaches step by step with the disease progress, from an intensive care unit, the general ward in the acute phase, through to the rehabilitation ward if needed, and post-discharge as an outpatient.. CONCLUSION: The paper has a limitation due to the unknown factor of the natural history of COVID-19. Depending on the patients' recovery journey and the rehabilitation needed, any physiotherapy interventions should focus on what the patients' need on their journey to recovery, e.g., pulmonary, cardiac, neurological, and general rehabilitation. In addition, applying personal protection equipment for treating physiotherapists is a mandatory requirement because this protects from the transmission of COVID-19.

Pre and Post Covid-19 Changes in Depression Scores by Employment Type, and Its Influencing Factors: Using the 12th~17th Data of the Korea Welfare Panel (COVID-19 유행 전·후 고용형태에 따른 우울의 변화와 영향요인: 한국복지패널 12~17차 자료 이용)

  • Kim, Juhye;Heo, Kyunghwa;Jung, Jinwook
    • Korean Journal of Occupational Health Nursing
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    • v.32 no.4
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    • pp.215-224
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    • 2023
  • Purpose: This study uses data from the 12th~17th Korea Welfare Panel (2017~2022) to analyze changes in depression scores due to the COVID-19 outbreak and the factors that influenced depression scores according to employment type. Methods: The difference in depression scores according to employment types before COVID-19 (12th~14th) and after COVID-19 (15th~17th) was analyzed. A fixed-effect model analysis was conducted before and after the occurrence of COVID-19. Results: After the outbreak of COVID-19, job satisfaction and family life satisfaction influenced the depression scores of regular wage workers. After the outbreak of COVID-19, annual income, health status, and satisfaction with family life affected the depression scores of non-regular wage workers. After the outbreak of COVID-19, leisure life satisfaction and family relationship satisfaction influenced the depression scores of self-employed. Self-esteem played a role as a control variable in lowering the depression scores of regular and non-regular workers, but did not play a role as a control variable for self-employed. Conclusion: Rather than the direct impact of infectious diseases such as COVID-19, social and economic changes resulting from policies implemented to prevent the spread affect workers' depression, and the impact varies depending on the type of employment. When implementing policies to prevent the spread of infectious diseases in the future, policies that take employment type into consideration rather than uniform policies should be prepared, and measures for mental health also need to be prepared.

An Analysis of Changes in Perception of Metaverse through Big Data - Comparing Before and After COVID-19 - (빅데이터 분석을 통한 메타버스에 대한 인식 변화 분석 - 코로나19 발생 전후 비교를 중심으로 -)

  • Kang, Yu Rim;Kim, Mun Young
    • Fashion & Textile Research Journal
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    • v.24 no.5
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    • pp.593-604
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    • 2022
  • The purpose of this study is to analyze the flow of change in perception of metaverse before and after COVID-19 through big data analysis. This research method used Textom to collect all data, including metaverse for two years before COVID-19 (2018.1.1~2019.11.30) and after COVID-19 outbreak (2020.1.11~2021.12.31), and the collection channels were selected by Naver and Google. The collected data were text mining, and word frequency, TF-IDF, word cloud, network analysis, and emotional analysis were conducted. As a result of the analysis, first, hotels, weddings, and glades were commonly extracted as social issues related to metaverse before and after COVID-19, and keywords such as robots and launches were derived, so the frequency of keywords related to hotels and weddings was high. Second, the association of the pre-COVID-19 metaverse keywords was platform-oriented, content-oriented, economic-oriented, and online promotion-oriented, and post-COVID-19 clusters were event-oriented, ontact sales-oriented, stock-oriented, and new businesses. Third, positive keywords such as likes, interest, and joy before COVID-19 were high, and positive keywords such as likes, joy, and interest after COVID-19. In conclusion, through this study, it was found that metaverse has firmly established itself as a new platform business model that can be used in various fields such as tourism, travel, festivals, and education using smart technology and metaverse.

Impact Assessment of First Wave of Covid-19 Pandemic on Goods and Services Tax (GST) Revenue Collection & Distribution in India

  • NAIK, Dr. Maithili;HALDANKAR, Gajanan B.
    • Journal of Distribution Science
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    • v.19 no.10
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    • pp.43-54
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    • 2021
  • Purpose: The restrictions posed by the COVID-19 pandemic have affected the normal functioning of the economy. A country like India is facing a lot of concerns in all its sectors especially, in its fiscal system. This paper makes an attempt to examine the impact of COVID-19 first wave on Goods and Service Tax revenue collection and distribution in India and also studies the impact of COVID-19 first wave on the state wise GST revenue of the country. Research Design, Data and Methodology: Our study is based on published GST revenue data. Tools such as Paired Sample t-test, Wilcoxon signed rank test are employed to analyze the data. Results: Our results provide evidence that there is a sharp decline in the GST revenue in the months after the lockdown announcement. The large states show no significance impact of COVID-19 pandemic on GST collection. Whereas, small states like Manipur and Goa show significant difference in GST revenue collection & distribution between the pre and post lockdown period. Conclusion: The outcome of this study will help the policymakers to analyze the extent of the GST revenue loss to the government treasury and will allow them to take appropriate measures in the future.