• Title/Summary/Keyword: 코로나-19 백신

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A study on perceptions of university students about the COVID-19 vaccine (코로나19 백신에 대한 대학생의 인식 조사)

  • Lee, Yeon-Hee;Yang, Ok-Yul
    • Journal of the Health Care and Life Science
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    • v.9 no.1
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    • pp.185-193
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    • 2021
  • This study conducted a survey using Google Survey targeting 415 college students over the age of 20 to investigate college students' perceptions of the COVID-19 vaccine. As a result, the average result of 'I think the COVID-19 vaccination is necessary' for herd immunity was 3.90, and 65.8% of the 'necessity of vaccination' recognized the 'necessity of vaccination', but 35.4% negatively evaluated 'the safety of the vaccine'. showed. As for the intention to vaccinate against COVID-19, 34.7% said 'I will vaccinate as soon as the order arrives'. This showed that the current COVID-19 vaccination is not positive. As the reasons for not wanting to be vaccinated, 65.3% answered 'adverse reaction to the vaccine' and 25.8% 'distrust of the vaccine itself'. In addition, they perceived the vaccine supply between developed and underdeveloped countries as unequal, and the average was 3.94, indicating that they were afraid of adverse reactions to the COVID-19 vaccine. Therefore, in order to more effectively acquire information about the COVID-19 vaccine, research, platform development, and education on publicity methods through the media frequently used by college students are required.

Exploring Opinions on COVID-19 Vaccines through Analyzing Twitter Posts (트위터 게시물 분석을 통한 코로나바이러스감염증-19 백신에 대한 의견 탐색)

  • Jung, Woojin;Kim, Kyuli;Yoo, Seunghee;Zhu, Yongjun
    • Journal of the Korean Society for information Management
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    • v.38 no.4
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    • pp.113-128
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    • 2021
  • In this study, we aimed to understand the public opinion on COVID-19 vaccine. To achieve the goal, we analyzed COVID-19 vaccine-related Twitter posts. 45,413 tweets posted from March 16, 2020 to March 15, 2021 including COVID-19 vaccine names as keywords were collected. The 12 vaccine names used for data collection included 'Pfizer', 'AstraZeneca', 'Modena', 'Jansen', 'NovaVax', 'Sinopharm', 'SinoVac', 'Sputnik V', 'Bharat', 'KhanSino', 'Chumakov', and 'VECTOR' in the order of the number of collected posts. The collected posts were analyzed manually and automatedly through keyword analysis, sentiment analysis, and topic modeling to understand the opinions for the investigated vaccines. According to the results, there were generally more negative posts about vaccines than positive posts. Anxiety about the aftereffects of vaccination and distrust in the efficacy of vaccines were identified as major negative factors for vaccines. On the contrary, the anticipation for the suppression of the spread of coronavirus following vaccination was identified as a positive social factor for vaccines. Different from previous studies that investigated opinions about COVID-19 vaccines through mass media data such as news articles, this study explores opinions of social media users using keyword analysis, sentiment analysis, and topic modeling. In addition, the results of this study can be used by governmental institutions for making policies to promote vaccination reflecting the social atmosphere.

Study on Characteristics and User Reactions of Videos Related to COVID-19 Vaccine (코로나19 백신 관련 영상의 특성 및 이용자 반응에 대한 연구)

  • Lee, Mina;Hong, Juhyun
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.163-171
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    • 2021
  • This study aimed to investigate the main characteristics of the COVID-19 vaccine-related videos spread on YouTube and differences in user responses in the infodemic situation caused by COVID-19. As a result of content analysis of 579 videos related to the COVID-19 vaccine, it was found that all of the false information was written by individual channels. Institutions, organizations, media companies, and government channels reported spread of false information as well as fact-oriented reporting. The progressive channel had a high percentage of positive sentiment in favor of vaccination, and the conservative channel had a high percentage of negative emotion against vaccination. After the vaccination started, the number of videos on government channels increased, and it was found that the number of videos with positive emotions increased. Results of regression analysis of video characteristics that affect the number of likes indicated that personal expert videos and videos from progressive channels received more likes. Combining the research results, we propose a plan to promote government policies regarding the COVID-19 vaccine using social media.

Descriptive analysis of COVID-19 statistics across nations (OECD 국가별 코로나19의 기술 통계 분석)

  • Ji-sun An;Mingue Park
    • The Korean Journal of Applied Statistics
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    • v.36 no.5
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    • pp.447-455
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    • 2023
  • COVID-19 is an emerging infectious disease that is hard to predict in terms of fatality rate, treatments, and the timing of its end. World is developing treatments and vaccines for COVID-19. Several treatments and vaccines currently have emergency use authorization, but the treatments are only allowed for critically ill patients with COVID-19. Therefore, the aim of this study is to analyze the confirmed cases of COVID-19, including mortality and testing, in OECD countries and to assess the effect of vaccination on mortality. Looking at the confirmed cases, mortality, and vaccination rates of COVID-19, the number of confirmed cases was lower than previously reported cases after full vaccination. In early 2022, with Omicron, the confirmed cases increased sharply, while mortality dropped, and the mortality showed a gentle curve as the cumulative fully vaccinated exceeded 50%. This indicates that COVID-19 vaccines have an effect on reducing mortality. However, the duration of effectiveness of vaccines was considerably short, which decreased the initial inoculation effect and increased the monthly mortality. As this study was carried out during the COVID-19 pandemic, there was not enough data to analyze comprehensively. However, it is meaningful to compare and analyze the impact of COVID-19 by country.

Exploring What Effects on Vaccination for Covid-19: Converging Health Locus of Control and Health Belief Model (코로나 19 백신 접종영향 요인의 탐색: 건강통제소재와 건강신념모형의 융합)

  • Joo, Jihyuk
    • Journal of the Korea Convergence Society
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    • v.12 no.11
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    • pp.347-357
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    • 2021
  • Since the outbreak of Covid-19, many countries have tried to defense Covid-19 to protect their people and as an influential and reliable policy as of now, they have recommended vaccinating. Thus, this research explored what influences the intention to vaccinate against Covid-19 with three health locus of control from multi-dimension health locus of control (MHLC) and perceived susceptibility and severity from health belief model (HBM) through PLS path modeling. Consequently, chance locus of control (CHLC) influence indirectly intention to vaccinate against Covid-19 mediating with susceptibility perception. It implies that the more fatalistic people attitude toward Covid-19, the more susceptible they perceived to the disease, and then, the stronger intention to vaccinate they would have. Thus, the health promotion authorities should motivate to activate people's susceptibility perception toward the disease through utilizing a variety of policies and consider that the fatalistic tendency toward the disease of people could play an antecedent role in the process.

코로나19의 백신개발 동향 및 백신비축 규모에 관한 소론

  • Park, Ho-Jeong;Im, Jae-Yeong
    • Environmental and Resource Economics Review
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    • v.29 no.2
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    • pp.273-292
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    • 2020
  • 본고는 코로나19라는 글로벌 팬데믹 상황에서 감염병 역학모형에 관한 내용과 기초재생산수, 집단면역임계, 백신비축 등의 주요 개념을 개론 수준에서 다루었다. 국내 첫 감염자 발생 이후 4월 12일까지의 데이터를 기준으로 분석해 볼 때 한국의 기초재생산수는 약 2의 값을 가지는데 이는 코로나19가 발생한 다른 나라에 비해 현저히 낮은 수치로 평가된다. 만일에 코로나19 백신이 개발되는 것을 가정하여 이의 비축규모를 추정해보면 인구의 최소 62%에 공급할 수 있는 수준이어야 하는 것으로 나타났다. 한편, 한국의 코로나19의 성공적 대응에는 사회적 거리두기 정책이 주된 요인 중의 하나라는 점도 발견하였다. 그러나 5월 이후 사회적 거리두기에 대한 다소 느슨해진 경향이 없지 않은데, 지역감염의 확산을 위해서는 원론적으로 대응할 필요가 있다. 본고는 학술적 관점이 아닌, 방역의 실무적 차원에서 역학모형, 그리고 경제-역학 모형을 활용하는 방법을 소개한 것 뿐이다. 보다 정교한 역학 모형을 제대로 연구하기 위해서는 상당한 규모의 팀워크가 필요하다. 2015년 메르스 이후 역학조사를 위한 자원이 보강되었다 하지만, 앞으로 역학조사 인력, 데이터 시스템 구축, 그리고 보건·경제·통계·수학 분야 등의 연구진이 보강되어야 할 것이다.

Delphi Survey for COVID-19 Vaccination in Korean Children Between 5 and 11 Years Old (국내 5-11세 소아의 코로나19 백신 접종에 대한 델파이 연구)

  • Choe, Young June;Lee, Young Hwa;Choi, Jae Hong
    • Pediatric Infection and Vaccine
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    • v.29 no.1
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    • pp.37-45
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    • 2022
  • Purpose: During the coronavirus disease 2019 (COVID-19) pandemic, we conducted a Delphi survey that included the experts from the field of COVID-19 immunization in children aged 5-11 years. The aim was to organize collective expert opinions on COVID-19 vaccination in young children in the Republic of Korea, and so thus assist the vaccination policy. Methods: The panels included pediatric infectious disease specialists, preventive medicine experts, infectious disease physicians, and COVID-19 vaccine experts consulting the Ministry of Health and Welfare. The Delphi survey was conducted online using a questionnaire from February 14 to February 27, 2022. Results: The Delphi panels agreed that children were vulnerable to COVID-19, and the severity of illness was modest. Furthermore the panels reported that children with chronic illness were more susceptible to a worsening clinical course. There were generally positive opinions on the effectiveness of COVID-19 vaccination in children aged 5-11 years, and experts gathered a slightly positive opinion that the adverse events of pediatric COVID-19 were not numerous. The benefits of COVID-19 vaccination were evaluated at a level similar to the potential risks in children. Currently, the only approved mRNA platform vaccine in children seemed to be sustainable; however, the recombinant protein platform COVID-19 vaccines were evaluated as better options. Conclusions: Due to the surge of the Omicron variant and an increase in pediatric cases, the COVID-19 vaccination in young children may have to be considered. Panels had neutral opinions regarding the COVID-19 vaccination in children aged 5-11 years. Thus monitoring of the epidemiology and the data about the safety of COVID-19 vaccination should be continued.

A Study on COVID-19 Fear, Vaccine Acceptance, and Quality of Life (COVID-19 두려움, 백신수용성과 삶의 질에 관한 연구)

  • Bae, Na-Rae
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.253-259
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    • 2022
  • This study aims to provide a basis for preparing specific welfare measures for healthy lives of those who have lost vitality due to COVID-19 by identifying the Korean people's level of fear of COVID-19 and vaccine acceptability, and by examining people's life satisfaction. . The research results are as follows. First, the fear of coronavirus perceived by the survey subjects was found to be very high. Second, when compared to other vaccines against coronavirus, fear or fear of the vaccine was significantly higher. Third, the vaccine acceptance of adults perceived by the survey subjects was positive. Fourth, the reliability of the government policy on the coronavirus prevention vaccine was found to be relatively high. Fifth, in the evaluation of quality of life, economic satisfaction was lower than in other areas, and emotional satisfaction was found to be relatively high compared to other areas.

Efficacy and Safety of COVID-19 Vaccines in Children Aged 5 to 11 Years: A Systematic Review (5-11세 소아에서 코로나19 백신의 효능 및 안전성에 대한 체계적 문헌고찰)

  • Choi, Miyoung;Yu, Su-Yeon;Cheong, Chelim;Choe, Young June;Choi, Soo-Han
    • Pediatric Infection and Vaccine
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    • v.29 no.1
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    • pp.28-36
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    • 2022
  • Purpose: To evaluate the efficacy and safety of coronavirus disease 2019 (COVID-19) vaccines in children aged 5-11 years, a rapid systematic review was conducted on published clinical trials of COVID-19 vaccines and studies that analyzed real-world data on adverse events after COVID-19 vaccination. Methods: A systematic search was conducted on medical literature in international (Ovid-MEDLINE) and pre-published literature databases (medRxiv), followed by handsearching up to January 4, 2022. We used terms including COVID-19, severe acute respiratory syndrome coronavirus 2, and vaccines, and the certainty of evidence was graded using the GRADE approach. Results: A total of 1,675 studies were identified, of which five were finally selected. Among the five studies, four consisted of data from clinical trials of each of the four types of COVID-19 vaccines (BNT162b2, mRNA-1273, CoronaVac, and BBIBP-CorV). The remaining study consisted of real-world data on the safety of the BNT162b2 vaccine in children aged 5-11 years. This systematic review identified that COVID-19 vaccines in recipients aged 5-11 years produced a favorable immune response, and were vaccines were effective against COVID-19. The safety findings for the BNT162b2 vaccine in children and early adolescents aged 5-11 years were similar to those data noted in the clinical trial. Conclusions: There is limited data on COVID-19 vaccines in children aged 5-11 years. Consequently continuous and comprehensive monitoring is necessary for the evaluation of the safety and effectiveness of the COVID-19 vaccines.

Network analysis on the diffusion of negative issue related with the government's COVID-19 measures in a crisis situation (위기상황에서 정부의 코로나 19 대책 관련 부정적 이슈의 확산 네트워크 분석)

  • Hong, Juhyun;Cha, Heewon
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.2
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    • pp.109-116
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    • 2022
  • This study conducted YouTube network analysis on YouTube video related with prevention of COVID-19 and COVID-19 vaccine to explores how government's policy is spread via social media in the condition of COVID-19. As a result of network analysis on the Mask chaos, A surge in confirmed cases, supply of vaccine, the influence of media like YTN and KBS is large, their view count is high. Government highlights to inform correct information actively to face negative massage and misinformation. The media has to fact check on the misinformation and disinformation.