• Title/Summary/Keyword: Post Covid 19

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Qualitative Content Analysis: Solutions for Tourism Industry to Overcome the Crisis in a Post-Covid 19 era

  • LEE, Soo-Hee
    • The Journal of Industrial Distribution & Business
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    • v.13 no.9
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    • pp.27-36
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    • 2022
  • Purpose: The coronavirus pandemic has affected the tourism industry in a big way. The travel industry suffered intense damage from the pandemic and procedures acquainted to containing its spread because the pandemic outbreak has led to a decline in the number of tourists and a change in their behavior. At this point, this research is to investigate adequate solutions for tourism industry to overcome the crisis in a post-Covid 19 era. Research design, data and methodology: The current author gathered data from each included study to analyze and summarize the evidence when conducting a literature analysis. This stage involves gathering and reviewing intricate texts databases for the meta-analysis. Results: The current author found total five solutions from numerous literature contents, suggesting how to overcome the crisis in a post-Covid era for tourism industry. Solutions as follows, (1) Drawing beginning illustrations, (2) Introducing Government Backing Programs, (3) Increasing Promotion of Tourism Destinations, (4) Enhancing Safety and Security Measures, and (5) Improving Infrastructure and Facilities. Conclusions: This research suggests that although the global economic recession leads to reduced demand and intense competition from other sectors, the tourism industry will be well positioned to weather these challenges if practitioners of tourism organizations follow five solutions of this research.

Survival Strategies for Data Business in the Post-COVID Era (포스트 코로나 시대 데이터 비즈니스 생존전략)

  • Lee, Raehyung
    • Journal of Technology Innovation
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    • v.28 no.4
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    • pp.165-175
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    • 2020
  • In this viewpoint paper, we overlook the potential of the data industry and the strategies needed in order to survive in this new socio-economic order brought by COVID-19. The social distancing culture is leading to the expansion and centralization of data. The government established the development plan of the data industry ecosystem and the capital flow is following this stream, so this is an opportunity for those in the data business. To survive and grow in the data industry ecosystem, we need to identify quality characteristics that have a comparative advantage over competitors based on high data quality and need to determine the target business segmentation to avoid wasting resources and make efficient investments.

Influencing Factors of High PTSD Among Medical Staff During COVID-19: Evidences From Both Meta-analysis and Subgroup Analysis

  • Qi, Guojia;Yuan, Ping;Qi, Miao;Hu, Xiuli;Shi, Shangpeng;Shi, Xiuquan
    • Safety and Health at Work
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    • v.13 no.3
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    • pp.269-278
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    • 2022
  • Background: PTSD (Post-traumatic stress disorder, PTSD) had a great impact on health care workers during the COVID-19 (Corona Virus Disease 2019, COVID-19). Better knowledge of the prevalence of PTSD and its risk factors is a major public health problem. This study was conducted to assess the prevalence and important risk factors of PTSD among medical staff during the COVID-19. Methods: The databases were searched for studies published during the COVID-19, and a PRISMA (preferred reporting items for systematic review and meta-analysis) compliant systematic review (PROSPERO-CRD 42021278970) was carried out to identify articles from multiple databases reporting the prevalence of PTSD outcomes among medical staff. Proportion random effect analysis, I2 statistic, quality assessment, subgroup analysis, and sensitivity analysis were carried out. Results: A total of 28 cross-sectional studies and the PTSD results of doctors and nurses were summarized from 14 and 27 studies: the prevalences were 31% (95% CI [confidence interval, CI]: 21%-40%) and 38% (95% CI: 30%-45%) in doctors and nurses, respectively. The results also showed seven risks (p < 0.05): long working hours, isolation wards, COVID-19 symptoms, nurses, women, fear of infection, and pre-existing mental illness. Two factors were of borderline significance: higher professional titles and married. Conclusion: Health care workers have a higher prevalence of PTSD during COVID-19. Health departments should provide targeted preventive measures for medical staff away from PTSD.

Study of Quotations From Western Media in Disaster Report: Focusing on Covid-19 Outbreak

  • Hyun Ban
    • International Journal of Advanced Culture Technology
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    • v.12 no.2
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    • pp.1-6
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    • 2024
  • The Covid 19 pandemic officially broke out in Jan 2020 and ended in Mar.2023, following the WHO, claiming 7 million lives. For the three years, while the world made concerted effort to fight against the deadly virus, South Korea was praised as a model country in that the country effectively contained the spread of the virus. Given this, the paper aims to figure out how South Korea's story was quoted by looking at six editorials in the New York Times and the Washington Post. For this aim, we have analyzed linguistic expressions within White (2003)'s appraisal theory and then conducted a key word frequency analysis. The analysis results as follows: first South Korea's story was quoted to criticize the U.S. government of its wrong management to the Covid-19, also giving some lessons to the world; second, both newspapers attribute the South Korea's success to its swift and rapid response to the pandemic; and third, the Washington Post showed more positive attitude to South Korea than the New York Times by quoting the country's success more frequently with more positive words in evaluating the country's responses to the pandemic while both newspapers showed negative attitudes to the U.S. government to the issue. Thus, it can be concluded that linguistic expressions in quotations are effectively used in showing the newspapers' attitude toward South Korea and the U.S.

The Future of Mixed-Reality Media on the Post COVID-19 Era (포스트 코로나 시대 혼합현실 미디어의 전망)

  • Hong, Il-Yang;Lee, Young-Woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.2
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    • pp.240-245
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    • 2021
  • This study aims to focus on realistic content of mixed-reality media, which has emerged as a new alternative due to COVID-19, we need to to investigate relevant cases in order to present the direction and prospect of development in preparation for the post-COVID19 era. Mixed-reality is a kind of media that expands physical abilities and it is widely used as a realistic type of content for education, training, performance, creation, game, and communication with acquaintances. Mixed-reality media will naturally permeate our daily lives like TV and the Internet in the post-COVID19 era. In the future, it will become a realistic content that can feel the five senses of human, which can be used whenever and wherever necessary, and also will become an emotional media that can stimulate human's emotions and enhance happiness. it means that it's not just communication.

Management Plan for Rural Groundwater Resources in the Era of Post COVID-19 (포스트 코로나 시대 농어촌지하수 관리 방안)

  • Lee, Byung Sun;Seo, Sangjin;Lee, Gyusang;Yoon, Seok-Hwan;Song, Sung-Ho
    • Journal of Soil and Groundwater Environment
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    • v.27 no.4
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    • pp.1-9
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    • 2022
  • This study was conducted to supplement new-normal strategies on management plans of rural groundwater resources in the era of Post COVID-19. Global outbreak of COVID-19 has damaged across all areas including public policy, economics, industrial services, and others without exception, which has resulted in establishing new-normal strategies in order to restore balance and functions as for these areas. The new-normal ones were represented as enhancing preventative management on infectious diseases, expanding non face-to-face services, enhancing protective trades and food securities, and preparing growth policies on public services using the 4th industrial revolution techniques. In this study, G-WASH_AD (Groundwater supply, sanitation, and hygiene with attraction and digitization) was suggested to be new-normal strategies on rural groundwater resources. The G-WASH_AD was consisted of three detailed action plans: a preventative plan on waterborne-diseases of groundwater (PP), a groundwater-tourism plan with rural heritage (GP), and an application plan of the 4th industrial revolution techniques to groundwater facilities and its data (P4). The PP can contribute to protect human health from waterborne-diseases and minimize hazardous effects on crop cultivation. The GP accompanied with high-quality groundwater resources is able to strengthen rural tourism, to promote marketing activities on local agricultural products, and to increase household incomes of rural communities. The P4 can reinforce fast, comfortable, and scientific management on groundwater facilities and its data, creating a virtuous cycle between innovative management on groundwater and growth of technology related to it. Results of the G-WASH_AD strategies can encourage a green growth engine in field of rural groundwater management keeping up with Post COVID-19.

Clinical Features and Risk Factors of Post-COVID-19 Condition in Korea

  • Myungwon Jang;Dongkwon Choi;Jonghyuk Choi;Ho-Jang Kwon
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.5
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    • pp.431-439
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    • 2023
  • Objectives: Numerous studies have explored the causes and spread of outbreaks, yet there is a lack of research on post-coronavirus disease 2019 condition (PCC) in Korea. The goal of this study was to identify the various types of PCC and associated factors in discharged patients and to provide directions for the ongoing health management of confirmed patients. Methods: A telephone survey was conducted among 680 coronavirus disease 2019 (COVID-19) patients diagnosed between July 7, 2021 and August 26, 2021, in Dangjin, Chungnam, Korea. A descriptive analysis of characteristics, univariate analysis, and regression were performed using data from basic epidemiological surveys conducted at the time of diagnosis and post-discharge questionnaires. Results: Of the 585 patients who responded, 159 (27.2%) developed PCC. Of the 211 patients with no initial symptoms, 27 (12.8%) developed PCC, versus 132 (35.3%) of the 374 patients with initial symptoms. Among the initial symptoms, fever or chills, cough or sputum, loss of smell, and sore throat were associated with PCC. Compared to patients with less than 10 days of hospitalization, those with a hospitalization period of 21 days to 30 days (odds ratio [OR], 2.3; 95% confidence interval [CI], 1.0 to 5.2) and 31 days or more (OR, 5.8; 95% CI, 1.9 to 18.1) had a higher risk of PCC. Conclusions: More than a quarter of COVID-19 patients, including those who had no initial symptoms, experienced PCC in Korea. People with the initial symptoms of fever, chills, and respiratory symptoms and those who had prolonged hospital stays had a high risk of PCC.

Public's Travel Intention Following COVID-19 Pandemic Constrained: A Case Study in Vietnam

  • NGUYEN, Ngoc Mai;PHAM, Minh Quyen;PHAM, Minh
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.181-189
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    • 2021
  • The COVID-19 pandemic has impacted the tourism industry due to the resulting travel restrictions as well as a slump in demand among travelers. The tourism industry has been massively affected by the spread of coronavirus, as many countries have introduced travel restrictions in an attempt to contain its spread. In Vietnam, the government has largely been credited for the country's success in keeping COVID-19 transmission rates under control. Early awareness of the pandemic, appropriate, drastic, and people-centric measures, as well as public support, are the main factors behind the success of Vietnam. In that context, it is observed that people's travel demand has bounced back and this research will examine factors driving the public's travel intention in the post-crisis (pandemic) period. The survey was conducted on the Internet using questionnaires designed in the Google platform. Data was collected from April 16 to May 31, 2020, from 154 Vietnamese participants. Research findings demonstrate 4 direct and indirect determinants of travel intention. The strongest effects come from perceived behavioral control which is influenced by subjective well-being. Perceived risk negatively correlates with Self-efficacy and subjective well-being. Conducted in the context of post-COVID-19, the research implies that once the pandemic has been controlled, perceived risks, although still exist, insignificantly influence the public's travel intention.

A study on changes in domestic tourism trends using social big data analysis - Comparison before and after COVID19 -

  • Yoo, Kyoung-mi;Choi, Youn-hee
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.98-108
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    • 2022
  • In this study, social network analysis was performed to compare and analyze changes in domestic tourism trends before and after the outbreak of COVID-19 in a situation where the damage to the tourism industry due to COVID-19 is increasing. Using Textom, a big data analysis service, data were collected using the keywords "travel destination" and "travel trend" based on the collection period of 2019 and 2020, when the epidemic spread to the world and became chaotic. After extracting a total of 80 key words through text mining, centrality was analyzed using NetDraw of Ucinet6, and clustered into 4 groups through CONCOR analysis. Through this, we compared and analyzed changes in domestic tourism trends before and after the outbreak of COVID-19, and it is judged to provide basic data for tourism marketing strategies and tourism product development in the post-COVID-19.

Comparative Analysis in Perception on Men's Fashion Using Big Data : Focused on Influence of COVID-19 (빅 데이터를 활용한 코로나19 이전과 이후의 남성 패션에 대한 인식 비교)

  • Kim, Do-Hyeon;Kim, Jeong-Mee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.24 no.3
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    • pp.1-15
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    • 2022
  • The purpose of this study is to compare and analyze the perception of men's fashion before and after the COVID-19 pandemic. TEXTOM allowed the collection of Big Data based on the term 'men's fashion'. As for the data collection periods, Jan. 1, 2018 to Dec. 31, 2019 was set as the pre-COVID-19 era, while Jan. 1, 2020 to Dec. 31, 2021 was set as the post-COVID-19 era. The top 50 words in terms of appearance frequency were extracted from the data. The extracted words were processed using network centrality analysis and CONCOR analysis using Ucinet 6. Research findings were as follows. 1) In the pre-COVID-19 era, the appearance frequency of 'men' was the highest, followed by 'fashion', 'men's fashion', 'brand', 'daily look', 'suit', and 'department store'. These words came up with a high TF-IDF values. Network centrality analysis discovered that 'men', 'fashion', 'men's fashion', 'brand', and 'suit' had a high level of connectivity with other words. CONCOR analysis showed four significant groups: 'fashion item and styles', 'fashion show', 'purchase', and 'collection'. 2) In the post-COVID-19 era, the appearance frequency of 'men' was the highest, followed by 'fashion', 'brand', 'men's fashion', 'discount', 'women', and 'luxury'. These words also displayed high TF-IDF values. Network centrality analysis found that 'fashion', 'men', 'brand', 'men's fashion', and 'discount' had a high level of connectivity with other words. CONCOR analysis showed four significant groups: 'fashion item and style', 'fashion show', 'purchase', and 'situation'. 3) Before the outbreak of the pandemic, men were interested in suits to wear to the office, daily look, and fashion shows in Milan and Paris. They often purchased menswear in multi-brand and open stores. However, they were more interested in sneakers, casual styles, and online fashion shows as social distancing and working from home became common. Most purchased menswear through online platforms.