• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.101-107
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• 2020

This paper aims to compare and analyze the major keywords according to the political orientation of progressive and conservative newspapers by utilizing the big data of the four major domestic daily newspapers related to COVID-19, which has entered a long-term war. To this end, 93,917 news reports from Jan. 20 to Sept. 15, 2020 were divided into four stages and the major keywords of the four newspapers were implemented and analyzed in WordCloud. According to the analysis, the conservative newspaper focused on the government's response, criticism, and China's responsibility by mentioning the keywords "government," "president," "state of affairs" and "mask" more than the progressive newspaper, while the progressive newspaper uses keywords that emphasize the seriousness of the disease and the occurrence of a dangerous situation. The Chosun Ilbo found that the use of various keywords during the massive outbreak of collective infections (2.18-5.15), and that the JoongAng Ilbo used keywords criticizing government policies in relation to reports of infectious diseases such as COVID-19, but also used keywords that emphasize the seriousness of diseases used by progressive newspapers and the occurrence of dangerous situations.

• Journal of Nutrition and Health
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• v.54 no.1
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• pp.104-115
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• 2021

Purpose: With increased time spent at home due to prolonged online classes, this study sought to determine how the coronavirus disease 2019 (COVID-19) pandemic has impacted the mukbang- and cookbang-watching patterns and dietary life of college students. Methods: All students majoring in food and nutrition (FN) at a college in Gyeonggi, Korea, participated in the survey in April 2019 (M/F = 36/106) and June 2020 (M/F -37/130) and data were analyzed using SPSS 26.0. Results: Compared to students responding in 2019, those in 2020 reported more frequently eating alone (p < 0.01) and cooking (p < 0.01), and evaluated their diets better regarding pleasant mealtimes atmosphere (p < 0.05), moderation in drinking (p < 0.05), and not consuming excessively delivery foods (p < 0.001), processed foods (p < 0.01), foods with animal fat (p < 0.01), salty foods (p < 0.01), and sweets (p < 0.01). Although the proportion of respondents who answered that they watched mukbang and cookbang at least occasionally did not change, greater proportions of respondents reported watching both genres frequently (p < 0.001, respectively) and spending less time/day in watching mukbang (p < 0.05) in 2020 vs. 2019. While they evaluated the effect of mukbang- and cookbang-watching on overall diet similarly, the proportion of respondents that reported feeling as though mukbang-watching prompted them to eat more of less-desirable foods decreased from 54.3% to 41.5% (p < 0.05). Diet improvement of participants due to COVID-19 resulted in that the association between frequent mukbang-watching and unhealthier dietary habits in 2019 was not shown in 2020. Conclusion: Our results suggest that the prolonged at-home stays due to COVID-19 might have improved many aspects of diet and decreased undesirable effect of frequent mukbang-watching in case of college students majoring in FN.

• Journal of Preventive Medicine and Public Health
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• v.54 no.2
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• pp.86-95
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• 2021

Objectives: This study investigated associations between perceptions of coronavirus disease 2019 (COVID-19) and the prevalence of posttraumatic stress disorder (PTSD) in workers at hospitals designated to treat COVID-19, as well as the difference in the magnitude of these associations by occupational type and previous Middle East respiratory syndrome coronavirus (MERS-CoV) experience. Methods: The participants were workers at hospitals designated to treat COVID-19 who completed a questionnaire about their perceptions related to COVID-19, work experience during the previous MERS-CoV outbreak, and symptoms of PTSD ascertained by the PTSD Checklist for the Diagnostic and Statistical Manual of Mental Disorders. Participants' characteristics were compared using the chi-square test. Multivariable logistic regression was performed to evaluate the associations between perceptions and the prevalence of PTSD, stratified by occupational type and previous MERS-CoV experience. Results: Non-medical personnel showed stronger associations with PTSD than medical personnel according to general fear (odds ratio [OR], 6.67; 95% confidence interval [CI], 1.92 to 23.20), shortages of supplies (OR, 1.29; 95% CI, 1.07 to 1.56), and issue-specific fear (OR, 1.29; 95% CI, 1.05 to 1.59). Those with prior MERS-CoV quarantine experience were more prone to PTSD than those without such experience in terms of general fear (OR, 1.70; 95% CI, 1.22 to 2.37), shortages of supplies (OR, 1.24; 95% CI, 1.10 to 1.40), and issue-specific fear (OR, 1.21; 95% CI, 1.06 to 1.38). Conclusions: During the COVID-19 pandemic, non-medical personnel tended to have higher odds of being categorized as having PTSD. Workers with prior MERS-CoV experience were more susceptible than those without such experience. These findings suggest the need for timely interventions to manage human resources for a sustainable quarantine system.

• Nutrition Research and Practice
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• v.15 no.sup1
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• pp.110-121
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• 2021

BACKGROUND/OBJECTIVES: Coronavirus disease 2019 (COVID-19) cases were first reported in December 2019, in China, and an increasing number of cases have since been detected all over the world. The purpose of this study was to collect significant news media reports on food services during the COVID-19 crisis and identify public communication and significant concerns regarding COVID-19 for suggesting future directions for the food industry and services. SUBJECTS/METHODS: News articles pertaining to food services were extracted from the home pages of major news media websites such as BBC, CNN, and Fox News between March 2020 and February 2021. The retrieved data was sorted and analyzed using Python software. RESULTS: The results of text analytics were presented in the format of the topic label and category for individual topics. The food and health category presented the effects of the COVID-19 pandemic on food and health, such as an increase in delivery services. The policy category was indicative of a change in government policy. The lifestyle change category addressed topics such as an increase in social media usage. CONCLUSIONS: This study is the first to analyze major news media (i.e., BBC, CNN, and Fox News) data related to food services in the context of the COVID-19 pandemic. Text analytics research on the food services domain revealed different categories such as food and health, policy, and lifestyle change. Therefore, this study contributes to the body of knowledge on food services research, through the use of text analytics to elicit findings from media sources.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.306-312
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• 2022

During the unprecedented COVID-19 outbreak, the public's information needs created an environment where they overwhelmingly consume information on the chronic disease. Given that news media affect the public's emotional well-being, the pandemic situation highlights the importance of paying particular attention to how news stories frame their coverage. In this study, COVID-19 news speech emotion from mainstream broadcasters in South Korea and the United States (US) were analyzed using convolutional neural networks. Results showed that neutrality was detected across broadcasters. However, emotions such as sadness and anger were also detected. This was evident in Korean broadcasters, whereas those emotions were not detected in the US broadcasters. This is the first quantitative vocal emotion analysis of COVID-19 news speech. Overall, our findings provide new insight into news emotion analysis and have broad implications for better understanding of the COVID-19 pandemic.

• Journal of Veterinary Science
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• v.21 no.2
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• pp.38.1-38.24
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• 2020

African swine fever (ASF), caused by the ASF virus, a member of the Asfarviridae family, is one of the most important diseases in the swine industry due to its clinical and economic impacts. Since the first report of ASF a century ago, ample information has become available, but prevention and treatment measures are still inadequate. Two waves of epizootic outbreaks have occurred worldwide. While the first wave of the epizootic outbreak was controlled in most of the infected areas, the second wave is currently active in the European and Asian continents, causing severe economic losses to the pig industry. There are different patterns of spreading in the outbreaks between those in European and Asian countries. Prevention and control of ASF are very difficult due to the lack of available vaccines and effective therapeutic measures. However, recent outbreaks in South Korea have been successfully controlled on swine farms, although feral pigs are periodically being found to be positive for the ASF virus. Therefore, we would like to share our story regarding the preparation and application of control measures. The success in controlling ASF on farms in South Korea is largely due to the awareness and education of swine farmers and practitioners, the early detection of infected animals, the implementation of strict control policies by the government, and widespread sharing of information among stakeholders. Based on the experience gained from the outbreaks in South Korea, this review describes the current understanding of the ASF virus and its pathogenic mechanisms, epidemiology, and control.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.131-138
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• 2022

Novel Coronavirus (COVID-19) is viewed as one of the main general wellbeing theaters on the worldwide level all over the planet. Because of the abrupt idea of the flare-up and the irresistible force of the infection, it causes individuals tension, melancholy, and other pressure responses. The avoidance and control of the novel Covid pneumonia have moved into an imperative stage. It is fundamental to early foresee and figure of infection episode during this troublesome opportunity to control of its grimness and mortality. The entire world is investing unimaginable amounts of energy to fight against the spread of this lethal infection. In this paper, we utilized machine learning and deep learning techniques for analyzing what is going on utilizing countries shared information and for detecting the climate factors that effect on spreading Covid-19, such as humidity, sunny hours, temperature and wind speed for understanding its regular dramatic way of behaving alongside the forecast of future reachability of the COVID-2019 around the world. We utilized data collected and produced by Kaggle and the Johns Hopkins Center for Systems Science. The dataset has 25 attributes and 9566 objects. Our Experiment consists of two phases. In phase one, we preprocessed dataset for DL model and features were decreased to four features humidity, sunny hours, temperature and wind speed by utilized the Pearson Correlation Coefficient technique (correlation attributes feature selection). In phase two, we utilized the traditional famous six machine learning techniques for numerical datasets, and Dense Net deep learning model to predict and detect the climatic factor that aide to disease outbreak. We validated the model by using confusion matrix (CM) and measured the performance by four different metrics: accuracy, f-measure, recall, and precision.

• Journal of East-West Nursing Research
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• v.28 no.2
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• pp.170-178
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• 2022

Purpose: This study aimed to identify the factors influencing post-traumatic stress disorder in intensive care unit nurses in dedicated hospitals for coronavirus disease of 2019 (COVID-19) during the peak of the outbreak. Methods: This study used a cross-sectional correlational design. A total of 100 participants completed questionnaires comprising the Impact of Event Scale-Revised (IES-R), coping strategy indicator, social support, and post-traumatic growth. Post-traumatic stress disorder was classified as normal, mild risk, and high risk. Data were analyzed using 𝛘² test, Fisher's exact test, Kruskal-Wallis test with multiple comparison analysis, Pearson correlation coefficient, and multinominal logistic regression analysis. Results: Fifty seven nurses (57.0%) had a high risk of post-traumatic stress. Higher levels of post traumatic stress were associated with higher levels of social support seeking, and higher levels of avoidance, and lower levels of social support from supervisors. Higher post traumatic growth was correlated with higher social support for seeking coping, and problem solving coping strategies, and social support from supervisors and colleagues. Post-traumatic stress risk was associated with social support seeking and supervisors' social support. In addition, a higher risk of post-traumatic stress was related to COVID-19 work duration and supervisors' social support. Conclusion: Supportive programs, including increasing social support and building coping skills, may be suggested to safeguard the mental health of critical care nurses during the pandemic.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.4062-4080
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• 2022

COVID-19, a highly infectious disease, has affected the globe tremendously since its outbreak during late 2019 in Wuhan, China. In order to respond to the pandemic, governments around the world introduced a variety of public health measures including contact-tracing, a method to identify individuals who may have come into contact with a confirmed COVID-19 patient, which usually leads to quarantine of certain individuals. Like many other governments, the South Korean health authorities adopted public health measures using latest data technologies. Key data technology-based quarantine measures include:(1) Electronic Entry Log; (2) Self-check App; and (3) COVID-19 Wristband, and heavily relied on individual's personal information for contact-tracing and self-isolation. In fact, during the early stages of the pandemic, South Korea's strategy proved to be highly effective in containing the spread of coronavirus while other countries suffered significantly from the surge of COVID-19 patients. However, while the South Korean COVID-19 policy was hailed as a success, it must be noted that the government achieved this by collecting and processing a wide range of personal information. In collecting and processing personal information, the data minimum principle - one of the widely recognized common data principles between different data protection laws - should be applied. Public health measures have no exceptions, and it is even more crucial when government activities are involved. In this study, we provide an analysis of how the governments around the world reacted to the COVID-19 pandemic and evaluate whether the South Korean government's digital quarantine measures ensured the protection of its citizen's right to privacy.

• Journal of Korean Academy of Rural Health Nursing
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• v.17 no.1
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• pp.9-22
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• 2022

Purpose: This study was conducted to suggest the direction of follow-up research by comparing and analyzing studies related to emerging infectious diseases (EID) in the field of nursing published in Korea since 2000 and before the outbreak of COVID-19 to identify overall themes and trends. Methods: The data search period was limited to papers from 2000 to 2019, and a literature review was conducted through a domestic DB search. 1574 papers extracted through search terms were excluded according to the criteria, and the final 39 papers were selected and analyzed. Results: Nursing studies related to EID consisted of 35 quantitative studies and most of them were descriptive research studies. As for specific disease types, MERS accounted for the largest number with 22, followed by 11 influenza A, 4 EID and 2 SARS. Nurses were the most common subjects with 19 cases (48.7%), and the number of study subjects was 200 or more, 23 cases (59.0%). The outcome variables of the analysis target literature were infection prevention behavior performance, knowledge, attitude, stress, anxiety, nursing intention, and infection control. Conclusion: This study is meaningful in suggesting the direction of follow-up research by identifying the trends in EID research.