• 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.

• 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.

• 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.

• 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.

• 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 4^th 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 4^th 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.

• 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.

• 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.

• 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.

• 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.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.4
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• pp.73-80
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• 2021

This study is a descriptive cross-sectional study to confirm the knowledge, attitudes, and preventive practice behaviors of university students concerning COVID-19 and to identify the factors that influence preventive practice behaviors. The number of study subjects was calculated using G*power program 3.19. The data collected from the study were analyzed using SPSS/WIN version 25. The subject's characteristics, knowledge, attitude, and preventive practices against COVID-19 were analyzed with descriptive statistics, and the difference in knowledge, attitude, and prevention practices against COVID-19 according to the subject's characteristics was evaluated using an independent t-test, ANOVA, and post-hoc test was conducted using a Scheffé test. Correlations of knowledge, attitude, and prevention practices against COVID-19 were analyzed using Pearson Correlation coefficients, and factors affecting COVID-19 prevention practices were analyzed using stepwise multiple regression. The number of subjects analyzed in the study was 232. The general characteristics of the study subjects were 78 males (33.7 %) and 154 females (66.3 %). The subject's knowledge score about COVID-19 was 85.13±6.22 out of 100 points, and the attitude score toward COVID-19 was 12.47±1.31 out of 14 points. The prevention practice score for COVID-19 was 29.36±3.42 out of 32 points. As a result of the study, knowledge about COVID-19 was found to have a significant positive correlation with attitude (r=.34, p<.001); COVID-19 prevention practice behavior was found to have a significant positive correlation with knowledge (r=.54, p<.001), and attitude (r=.62, p<.001). The main factors influencing the COVID-19 prevention practice behavior were knowledge, attitude, and major (Cosmetology major).