• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.4
• /
• pp.357-366
• /
• 2022

Many factors influence brand trust, including manufacturer prestige, product value and quality, country of origin, media marketing, experience, and brand relationship. The purpose of this study is to assess the impact of the nation of origin on brand trust, using Vietnam as a case study for India's COVID-19 vaccine. A total of 407 Vietnamese people aged 18 and up participated in the survey. The findings of the study show that the nation of origin has a significant impact on brand trust. Specifically, the perceived country image has a negative effect on brand trust, the other two components of the country of origin are perceived value and perceived quality of product have a positive impact on brand trust in India's COVID-19 vaccine. Research results show that if the perceived country image of the country of production is perceived negatively, then there will be a negative impact on brand trust. According to research findings, people in Vietnam who are 30 years old or older, have steady occupations, know about India, have used Indian products in the past, and have strong brand trust in India's COVID-19 vaccinations. India needs to boost its country's image and develop communication to increase brand trust in Vietnam.

• The Korean Journal of Food & Health Convergence
• /
• v.7 no.5
• /
• pp.19-31
• /
• 2021

The purpose of this study is to examine whether there is a mediating effect of hopelessness the relationship between perceived stress and suicidal ideation in college students. For this study, a survey was conducted on perceived stress, suicidal ideation, and mental health, self-esteem, problem drinking, and stress among 103 college studentsin Gyeonggi do. The results of this study are as follows. It was found that COVID-19 correlated with perceived stress, hopelessness, and suicidal ideation of college students. The hopelessness completely mediated between perceived stress and suicidal thoughts of college students, which is consistent with previous studies. This study is meaningful in that it confirmed relationship between the perceived stress, hopelessness, and suicidal ideations in college students due to COVID-19, reflecting the new situation of the times. Coronavirus will worsen people's mental health disorders and cause new stress-related disorders. Therefore, mental health researchers, clinicians, and people working in trauma-related fields should find ways to reduce the incidence of coronavirus-related trauma stress and prevent its effects. It is necessary to expand the psychological vaccine program to improve the resilience of the public. Since there are individual differences in resilience, it is necessary to strengthen the psychological vaccine program for each subject considering resilience.

• Childhood Kidney Diseases
• /
• v.27 no.1
• /
• pp.34-39
• /
• 2023

Purpose: This article was to collect data on the safety of coronavirus disease 2019 (COVID-19) vaccines in children with underlying medical conditions. Methods: We constructed a prospective cohort of children and adolescents aged 5 to 19 years who had received at least one dose of COVID-19 vaccine. Patients diagnosed with and treated for chronic kidney disease, autoimmune disease, or other chronic conditions at the Seoul National University Children's Hospital were recruited from June to December 2022. A mobile survey questionnaire was sent to their guardians. The presence of adverse events on the day (day 0), 3 weeks (day 21), and 6 months (day 180) after the 1st dose of COVID-19 vaccine was recorded by the guardians. Results: A total of 73 children participated. The median age was 14 years, and 64.4% of the patients were male. On the day of immunization, 65.8% of the patients reported at least one adverse event. Pain at the injection site, fatigue, headache, arthralgia, and myalgia were the most common symptoms. The prevalence of adverse events decreased over time (65.8% on day 0, 27.4% between days 0 and 21, and 24.6% between days 21 and 180). Severe acute respiratory syndrome coronavirus 2 infection after the 1st dose occurred in 17 patients (23.3%) and one of the patients (5.88%) was hospitalized due to infection. Conclusions: Adverse events after COVID-19 vaccination were generally mild in children and adolescents with underlying medical conditions. Our findings provide evidence for the safety of COVID-19 vaccination in the vulnerable pediatric population.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.34 no.3
• /
• pp.135-161
• /
• 2023

This study analyzed the research trends of COVID-19 research papers published in medical journals of Korea. Data were collected from 25 MEDLINE journals in 'Medicine and Pharmacy' studies and a total of 800 were selected. As a result of the study, authors from domestic affiliations made up 76.96% of the total, and the proportion of authors from foreign institutions decreased without significant change. The authors' majors were 'Internal Medicine' (32.85%), 'Preventive Medicine/Occupational and Environmental Medicine' (16.23%), 'Radiology' (5.74%), and 'Pediatrics' (5.50%), and 435 (54.38%) papers were collaborative research. As for author keywords, 'COVID19' (674), 'SARSCoV2' (245), 'Coronavirus' (81), and 'Vaccine' (80) were derived as top keywords. There were six words that appeared throughout the entire period: 'COVID19,' 'SARSCoV2,' 'Coronavirus,' 'Korea,' 'Pandemic,' and 'Mortality.' Co-occurrence network analysis was conducted on MeSH terms and author keywords, and common keywords such as 'covid-19,' 'sars-cov-2,' and 'public health' were derived. In topic modeling, five topics were identified, including 'Vaccination,' 'COVID-19 outbreak status,' 'Omicron variant,' 'Mental health, control measures,' and 'Transmission and control in Korea.' Through this study, it was possible to identify the research areas and major keywords by year of COVID-19 research papers published during the 'Public Health Emergency of International Concern (PHEIC).'

• International Journal of Computer Science & Network Security
• /
• v.23 no.6
• /
• pp.202-206
• /
• 2023

Today, social media has become a vital tool. The world communicates and reaches the news and each other's opinions through social media accounts. Recently, considerable research has been done on analyzing social media due to its rich data content. At the same time, since the beginning of the COVID-19 pandemic, which has afflicted so many around the world, the search for a vaccine has been intense. There have been many studies analyzing people's feelings during a crisis. This study aims to understand people's opinions about available Coronavirus vaccines through a learning model that was developed for this purpose. The dataset was collected using Twitter's streaming Application Programming Interface (API) , then combined with another dataset that had already been collected. The final dataset was cleaned, then analyzed using Python. Polarity and subjectivity functions were used to obtain the results. The results showed that most people had positive opinions toward vaccines in general and toward the Pfizer one. Our study should help governments and decision-makers dispel people's fears and discover new symptoms linked to those listed by the World Health Organization.

• Journal of Intelligence and Information Systems
• /
• v.28 no.1
• /
• pp.155-174
• /
• 2022

From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (