• 제목/요약/키워드: COVID

검색결과 4,344건 처리시간 0.026초

코로나19의 증거생성 질병관리 (Evidence-Developing Disease Control of Coronavirus Disease 2019)

  • 박은철
    • 보건행정학회지
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    • 제30권4호
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    • pp.431-432
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    • 2020
  • Coronavirus disease 2019 (COVID-19) has been going on for nearly a year. As of December 1, 2020, more than 60 million confirmed cases and 1.4 million deaths have occurred in 220 countries and territories. There is no effective treatment for COVID-19 so far, and vaccines are being developed. However, the vaccine of COVID-19 can be freed from COVID-19 only if there are positive answers to some questions: "Aren't there any major side effects from the vaccine?"; "Is the vaccine effective for enough time?"; "Does the vaccine sufficiently reduce the mortality rate?"; and "Does the vaccine sufficiently reduce the reproduction number?" The fight against COVID-19 will continue for a long time. Therefore, we need to respond by developing the evidence for control of COVID-19, the emerging infectious disease. Extensive quarantine measures in the early stages of COVID-19 need to be elaborated through developing the evidence. Korea Disease Control and Prevention Agency should establish a database for evidence developing COVID-19 control. In this database, based on more than 3 million tested individuals, epidemiological investigation results, health insurance claims data, and government data such as the Ministry of Public Administration and Security, etc. should be linked. It is necessary to disclose this database to academia, etc. to create the evidences of COVID-19 and manage COVID-19 through these. And through the developed evidences, guidelines for physical health and mental health in the era of Corona 19 should be developed.

텍스트마이닝을 활용한 Covid-19 기간 동안의 항공산업 관련 키워드 트렌드 분석 (Keyword trends analysis related to the aviation industry during the Covid-19 period using text mining)

  • 최동현;송보미;박다현;이성우
    • 한국산업정보학회논문지
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    • 제27권2호
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    • pp.115-128
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    • 2022
  • 본 연구는 Covid-19 팬데믹이 항공산업에 미친 영향과 동향을 살펴보고자 국내 뉴스 기사 데이터를 활용하여 키워드 트렌드 분석을 진행하였다. 데이터 수집을 위하여 Covid-19 발생 기준으로 전, 후 각 6개월의 기간을 나누어 '항공사' 키워드를 중심으로 관련 기사들을 추출하였다. 이후 기간별 동시 출현 빈도를 파악한 후 LDA 기법을 이용하여 토픽 모델링을 진행하였으며, Covid-19의 진행 동향과 토픽 패턴과의 관계 분석을 통해 상황에 따른 주요 토픽을 도출하였다. 이러한 결과를 활용하여 Covid-19와 같이 범세계적으로 영향을 주는 전염병이 발생할 경우 그 추이에 따라 항공산업에 미치는 영향을 예측할 수 있는 기초자료로 활용될 수 있을 것으로 기대된다.

LitCovid-AGAC: cellular and molecular level annotation data set based on COVID-19

  • Ouyang, Sizhuo;Wang, Yuxing;Zhou, Kaiyin;Xia, Jingbo
    • Genomics & Informatics
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    • 제19권3호
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    • pp.23.1-23.7
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    • 2021
  • Currently, coronavirus disease 2019 (COVID-19) literature has been increasing dramatically, and the increased text amount make it possible to perform large scale text mining and knowledge discovery. Therefore, curation of these texts becomes a crucial issue for Bio-medical Natural Language Processing (BioNLP) community, so as to retrieve the important information about the mechanism of COVID-19. PubAnnotation is an aligned annotation system which provides an efficient platform for biological curators to upload their annotations or merge other external annotations. Inspired by the integration among multiple useful COVID-19 annotations, we merged three annotations resources to LitCovid data set, and constructed a cross-annotated corpus, LitCovid-AGAC. This corpus consists of 12 labels including Mutation, Species, Gene, Disease from PubTator, GO, CHEBI from OGER, Var, MPA, CPA, NegReg, PosReg, Reg from AGAC, upon 50,018 COVID-19 abstracts in LitCovid. Contain sufficient abundant information being possible to unveil the hidden knowledge in the pathological mechanism of COVID-19.

Effect of Information Characteristics of COVID-19 Vaccine on Acceptance Attitude Through Health Belief Theory

  • Lee, Sin-Bok
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권4호
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    • pp.20-35
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    • 2022
  • COVID-19 vaccines have been developed worldwide in order to prevent the spread of coronavirus infection-19, but some people tend to refuse to be vaccinated against COVID-19. Therefore, we will investigate how people's understanding of COVID-19 vaccines affects their attitude to accept COVID-19 vaccination information. Therefore, the purpose of this study is to examine the determinants that affect the acceptability of COVID-19 vaccine through the informational characteristics of COVID-19 vaccine and the individual health belief theory. This study conducted an offline survey of 215 adult men and women living in Seoul and Gyeonggi-do Province during the period from September 1 to September 10, 2022, and we have conducted a final analysis using a total of 212 questionnaires. The results of our study were as follows. First, among the information characteristics of COVID-19 vaccine, it was confirmed that the amount of information had a significant positive effect on susceptibility, severity, and barriers in health belief theory, respectively. Second, among the information characteristics of COVID-19 vaccine, it was found that the quality of information had a significant positive effect on the susceptibility in health belief theory. Third, susceptibility and barriers in the health belief theory significantly had a positive effect on voluntary attitude and involuntary attitude in acceptance attitude, respectively. And finally, it was found that the severity of the health belief theory had a positive effect on the involuntary attitude in acceptance attitude. The results of this study suggest that policy efforts are needed to make accurate information about COVID-19 vaccine known to the people.

간호대학생을 위한 COVID-19 감염관리 시뮬레이션 프로그램 개발 및 효과 (Development and testing effectiveness of a simulation program to control COVID-19 infections in nursing students)

  • 강기노;임미해;장미영;이재운;이옥종
    • 중환자간호학회지
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    • 제16권2호
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    • pp.54-66
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    • 2023
  • Purpose : Developing infection control capabilities during the COVID-19 pandemic was critical. This study aimed to develop a simulation program to control patients with COVID-19 in nursing students and examine the effects on COVID-19 knowledge, COVID-19 nursing intention, self-efficacy learning, and clinical performance. Methods : The study used nonequivalent control group pretest-posttest design. Sixty nursing students were recruited from two different colleges using purposive sampling. For the intervention group(n=30), the pretest was administered before the simulation program, involving six sessions of online lectures and simulation practices. Immediately, the posttest was conducted following the program. Results : COVID-19 knowledge (t=9.87, p <.001), COVID-19 nursing intention (t=4.45, p <.001), learning self-efficacy (t=6.49, p <.001), and clinical performance (t=6.77, p <.001) increased significantly after the program, revealing the positive effect of the COVID-19 infection control simulation program in nursing students. Conclusion : The results of the study and the curriculum may be used as practical evidence for COVID-19 infection control in nursing schools and medical institutions.

Treatment decision for cancer patients with fever during the coronavirus disease 2019 (COVID-19) pandemic

  • Lee, In Hee;Koh, Sung Ae;Lee, Soo Jung;Lee, Sun Ah;Cho, Yoon Young;Lee, Ji Yeon;Kim, Jin Young
    • Journal of Yeungnam Medical Science
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    • 제38권4호
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    • pp.344-349
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    • 2021
  • Background: Cancer patients have been disproportionally affected by the coronavirus disease 2019 (COVID-19) pandemic, with high rates of severe outcomes and mortality. Fever is the most common symptom in COVID-19 patients. During the COVID-19 pandemic, physicians may have difficulty in determining the cause of fever (COVID-19, another infection, or cancer fever) in cancer patients. Furthermore, there are no specific guidelines for managing cancer patients with fever during the COVID-19 pandemic. Thus, this study evaluated the clinical characteristics and outcomes of cancer patients with fever during the COVID-19 pandemic. Methods: This study retrospectively reviewed the medical records of 328 cancer patients with COVID-19 symptoms (fever) admitted to five hospitals in Daegu, Korea from January to October 2020. We obtained data on demographics, clinical manifestations, laboratory test results, chest computed tomography images, cancer history, cancer treatment, and outcomes of all enrolled patients from electronic medical records. Results: The most common COVID-19-like symptoms were fever (n=256, 78%). Among 256 patients with fever, only three (1.2%) were diagnosed with COVID-19. Most patients (253, 98.8%) with fever were not diagnosed with COVID-19. The most common solid malignancies were lung cancer (65, 19.8%) and hepatobiliary cancer (61, 18.6%). Twenty patients with fever experienced a delay in receiving cancer treatment. Eighteen patients discontinued active cancer treatment because of fever. Major events during the treatment delay period included death (2.7%), cancer progression (1.5%), and major organ dysfunction (2.7%). Conclusion: Considering that only 0.9% of patients tested for COVID-19 were positive, screening for COVID-19 in cancer patients with fever should be based on the physician's clinical decision, and patients might not be routinely tested.

Fear of COVID-19 and Its Impact on Job Satisfaction and Turnover Intention Among Egyptian Physicians

  • Abd-Ellatif, Eman E.;Anwar, Manal M.;AlJifri, Abobakr A.;Dalatony, Mervat M. El
    • Safety and Health at Work
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    • 제12권4호
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    • pp.490-495
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    • 2021
  • Introduction: The risk of experiencing psychiatric symptoms related to the COVID-19 pandemic is high among healthcare workers whose occupations are in public health, emergency medicine, and intensive or critical care. Materials and methods: A cross-sectional study aimed to assess the prevalence of fear of COVID-19 among 411 frontline Egyptian physicians during the COVID-19 pandemic; identify determinants and predictors for fear of COVID-19; determine the impact of fear of COVID-19 on job satisfaction; and detect the impact of fear of COVID-19 on turnover intention. Three standardized scales (fear of COVID-19, job satisfaction, and turnover intention scores) were used for data collection via online Google Form. Results: Regarding fear relating to the COVID-19 pandemic, 16.5% of the study subjects were classified as experiencing a severe fear level, while 78.1% experienced a moderate degree. A significant association between the level of fear relating to COVID-19 and the work department. The highest degree of fear is in a general-educational-university facility. Regarding job satisfaction, 42% of those having a severe level of fear are dissatisfied. Fear of COVID-19 is negatively associated with job satisfaction while positively significant correlated with turnover scores, a positive significant predictor of turnover intention. Job satisfaction is negatively associated with turnover intention; a negative significant predictor of turnover intention. Conclusions: Frontline Egyptian physicians reported higher levels of fear relating to the COVID-19 pandemic (moderate to severe). Increased fear levels relating to COVID-19 have a relationship with lower levels of job satisfaction and higher levels of job turnover.

재가노인의 COVID-19에 대한 스트레스와 자기관리 효능감 (Stress and Self-Management Efficacy of COVID-19 among Community-Dwelling Elderly)

  • 홍인숙;조옥희
    • 디지털융복합연구
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    • 제19권4호
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    • pp.383-392
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    • 2021
  • 본 연구는 재가노인이 인지하는 COVID-19 스트레스와 자기관리 효능감 간의 관계를 파악하여 노인의 감염병 관리 간호중재 개발을 위한 기초자료 활용을 위해 시도되었다. 133명을 대상으로 일반적 특성, COVID-19 스트레스 및 자기관리 효능감에 대한 구조화된 설문지를 활용하여 자료수집 하였다. 자료분석을 위해 t-test, ANOVA, Pearson's correlation coefficients를 시행하였다. 연구결과, COVID-19 스트레스는 직업, 교육정도, 경제상태, 주관적 건강상태에 따라 차이가 있었으며, 자기관리 효능감은 주관적 건강상태에 따라 차이가 있었다. COVID-19 스트레스는 자기관리 효능감과 정 상관관계가 있었으며, 하부영역 중 예방 및 가정관리 영역에서 정 상관관계가 있었다. 결과를 통해 재가노인들의 적절한 COVID-19 스트레스는 예방 및 가정관리 효능감을 높이는 요인으로 작용할 수 있음을 알 수 있었다. COVID-19 대유행이 지속됨에 따라 시기별 변화와 대상자의 범위를 확대한 반복 연구가 필요하다.

뷰티전공과 예체능전공 대학생의 COVID-19에 대한 지식, 태도, 예방실천행위 (Knowledge, attitude, and preventive action on COVID-19 infectious disease of cosmetology major and arts and physical education college students)

  • 안미정;박선주
    • 한국의상디자인학회지
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    • 제23권4호
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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).

Adverse Birth Outcomes Among Pregnant Women With and Without COVID-19: A Comparative Study From Bangladesh

  • Masud, Sumaya Binte;Zebeen, Faiza;Alam, Dil Ware;Hossian, Mosharap;Zaman, Sanjana;Begum, Rowshan Ara;Nabi, Mohammad Hayatun;Hawlader, Mohammad Delwer Hossain
    • Journal of Preventive Medicine and Public Health
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    • 제54권6호
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    • pp.422-430
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    • 2021
  • Objectives: Pregnant women are especially vulnerable to respiratory infections such as coronavirus disease 2019 (COVID-19), but insufficient research has investigated pregnancy and its outcomes in women with COVID-19. This cross-sectional study compared birth outcomes related to COVID-19 between Bangladeshi pregnant women with and without COVID-19. Methods: The study was conducted at 3 tertiary referral hospitals in Dhaka, Bangladesh, from March to August 2020. Pregnant women admitted for delivery at these hospitals with laboratory results (reverse-transcription polymerase chain reaction) were analyzed. Using convenience sampling, we included 70 COVID-19-positive and 140 COVID-19-negative pregnant women. Trained and experienced midwives conducted the interviews. Data were analyzed using the t-test, the chi-square test, and univariate and multivariable linear and logistic regression. Results: Pregnant women with COVID-19 were more likely to give birth to a preterm baby (adjusted odds ratio [aOR], 2.15; 95% confidence interval [CI], 1.06 to 4.37) and undergo a cesarean section (aOR, 3.27; 95% CI, 1.51 to 7.07). There were no significant differences in birth weight, premature rupture of membranes, and the Apgar score at 1 minute or 5 minutes post-delivery between women with and without COVID-19. All the newborn babies who were born to COVID-19-positive women were COVID-19-negative. Conclusions: Our study suggests that pregnant women with COVID-19 were more likely to give birth to a preterm baby and undergo a cesarean section. For this reason, physicians should be particularly cautious to minimize adverse birth outcomes among pregnant women with COVID-19 and their newborn babies.