• Title/Summary/Keyword: covid-19

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Neural Machine translation specialized for Coronavirus Disease-19(COVID-19) (Coronavirus Disease-19(COVID-19)에 특화된 인공신경망 기계번역기)

  • Park, Chan-Jun;Kim, Kyeong-Hee;Park, Ki-Nam;Lim, Heui-Seok
    • Journal of the Korea Convergence Society
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    • v.11 no.9
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    • pp.7-13
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    • 2020
  • With the recent World Health Organization (WHO) Declaration of Pandemic for Coronavirus Disease-19 (COVID-19), COVID-19 is a global concern and many deaths continue. To overcome this, there is an increasing need for sharing information between countries and countermeasures related to COVID-19. However, due to linguistic boundaries, smooth exchange and sharing of information has not been achieved. In this paper, we propose a Neural Machine Translation (NMT) model specialized for the COVID-19 domain. Centering on English, a Transformer based bidirectional model was produced for French, Spanish, German, Italian, Russian, and Chinese. Based on the BLEU score, the experimental results showed significant high performance in all language pairs compared to the commercialization system.

Prophetic Medicine-Nigella Sativa (Black Cumin Seeds) - Potential Herb for COVID-19?

  • Maideen, Naina Mohamed Pakkir
    • Journal of Pharmacopuncture
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    • v.23 no.2
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    • pp.62-70
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    • 2020
  • Coronavirus disease-19 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS CoV-2). Currently, the management of patients with COVID-19 depends mainly on repurposed drugs which include chloroquine, hydroxychloroquine, lopinavir/ritonavir, ribavirin, remdesivir, favipiravir, umifenovir, interferon-α, interferon-β and others. In this review, the potential of Nigella sativa (black cumin seeds) to treat the patients with COVID-19 analyzed, as it has shown to possess antiviral, antioxidant, anti-inflammatory, anticoagulant, immunomodulatory, bronchodilatory, antihistaminic, antitussive, antipyretic and analgesic activities. Medline/PubMed Central/PubMed, Google Scholar, Science Direct, Directory of open access journals (DOAJ) and reference lists were searched to identify articles associated with antiviral and other properties of N.sativa related to the signs and symptoms of COVID-19. Various randomized controlled trials, pilot studies, case reports and in vitro and in vivo studies confirmed that N.sativa has antiviral, antioxidant, anti-inflammatory, immunomodulatory, bronchodilatory, antihistaminic, antitussive activities related to causative oraganism and signs and symptoms of COVID-19. N. sativa could be used as an adjuvant therapy along with repurposed conventional drugs to manage the patients with COVID-19.

Standardization trend of Korea's Response to COVID-19 (K-방역 기술의 국제표준화 추진 동향)

  • Yoo, S.K.;Lee, C.K.;Lee, H.J.;Kim, S.H.;Kim, Y.W.
    • Electronics and Telecommunications Trends
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    • v.36 no.5
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    • pp.42-50
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    • 2021
  • A rapidly spreading unidentified type of pneumonia was initially reported in China in December 2019. On March 11, 2020, the World Health Organization declared the coronavirus disease 2019 (COVID-19) a global pandemic. The world is making efforts to overcome COVID-19 using the experience of each country. From the beginning, Korea has been relatively successful in managing COVID-19 according to the "3T principle," that is, test-trace-treat. To share these experiences with the international community, in June 2020, Korea launched 18 projects in an attempt to standardize the COVID-19 response technology. This paper introduces the standardization trend of Korea's response to COVID-19.

COVID-19 and Return-To-Work for the Construction Sector: Lessons From Singapore

  • Gan, Wee Hoe;Koh, David
    • Safety and Health at Work
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    • v.12 no.2
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    • pp.277-281
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    • 2021
  • Singapore's construction sector employs more than 450,000 workers. During the height of the COVID-19 pandemic in Singapore from April to June 2020, migrant workers were disproportionately affected, including many working in the construction sector. Shared accommodation and construction worksites emerged as nexuses for COVID-19 transmission. Official government resources, including COVID-19 epidemiological data, 43 advisories and 19 circulars by Singapore's Ministries of Health and Manpower, were reviewed over 8 month period from March to October 2020. From a peak COVID-19 incidence of 1,424.6/100,000 workers in May 2020, the incidence declined to 3.7/100,000 workers by October 2020. Multilevel safe management measures were implemented to enable the phased reopening of construction worksites from July 2020. Using the Swiss cheese risk management model, the authors described the various governmental, industry, supervisory and worker-specific interventions to prevent, detect and contain COVID-19 for safe resumption of work for the construction sector.

Supporting Patients With Schizophrenia in the Era of COVID-19 (COVID-19 유행 시기의 조현병 환자 지원)

  • Kim, Sung-Wan
    • Korean Journal of Schizophrenia Research
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    • v.24 no.2
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    • pp.45-51
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    • 2021
  • The coronavirus disease 2019 (COVID-19) pandemic has drastically impacted our society and health care system. People with schizophrenia are more vulnerable to this burden of illness and related societal changes. In addition, they are more susceptible to the transmission of COVID-19 and have a significantly higher mortality rate compared to the general population. In a recent study, vaccinated patients with schizophrenia showed a greatly decreased mortality level similar to that of the general population. However, patients with schizophrenia were less likely to be vaccinated. Mental health professionals should provide them with appropriate information on prevention strategies against COVID-19 and vaccination. Long-lasting social distancing and social disconnection can make people with schizophrenia more vulnerable to loneliness and depression. Furthermore, patients with schizophrenia may face challenges continuing psychiatric treatment due to the COVID-19 pandemic. Social support and suitable mental health services using novel technologies should be developed and provided to patients with schizophrenia.

Prediction of New Confirmed Cases of COVID-19 based on Multiple Linear Regression and Random Forest (다중 선형 회귀와 랜덤 포레스트 기반의 코로나19 신규 확진자 예측)

  • Kim, Jun Su;Choi, Byung-Jae
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.4
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    • pp.249-255
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    • 2022
  • The COVID-19 virus appeared in 2019 and is extremely contagious. Because it is very infectious and has a huge impact on people's mobility. In this paper, multiple linear regression and random forest models are used to predict the number of COVID-19 cases using COVID-19 infection status data (open source data provided by the Ministry of health and welfare) and Google Mobility Data, which can check the liquidity of various categories. The data has been divided into two sets. The first dataset is COVID-19 infection status data and all six variables of Google Mobility Data. The second dataset is COVID-19 infection status data and only two variables of Google Mobility Data: (1) Retail stores and leisure facilities (2) Grocery stores and pharmacies. The models' performance has been compared using the mean absolute error indicator. We also a correlation analysis of the random forest model and the multiple linear regression model.

A Follow-Up Case of Voice Changes in Acute COVID-19 Infection (급성 COVID-19 감염의 음성 변화 추적 관찰 1예)

  • Seung Jin, Lee
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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    • v.33 no.3
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    • pp.183-187
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    • 2022
  • Dysphonia is well known as one of the otolaryngological symptoms of coronavirus disease 2019 (COVID-19) infection. The vocal changes of the COVID-19 condition have been reported in terms of parameters of multi-dimensional voice assessment, including acoustic analysis, auditory-perceptual evaluation, and psychometric assessment. However, there has not been a daily followup study in patients with acute COVID-19 infection. In this study, a 41-year-old male performed daily voice recordings of vowel phonation and passage-reading tasks during the self-quarantine period of one week. Compared to the normal voice status of the prepandemic period, voice abnormalities peaked on day two after the diagnosis of COVID-19 infection and recovered after one week.

Effects of the Coronavirus Disease 2019 (COVID-19) Pandemic on Outcomes among Patients with Polytrauma at a Single Regional Trauma Center in South Korea

  • Kim, Sun Hyun;Ryu, Dongyeon;Kim, Hohyun;Lee, Kangho;Jeon, Chang Ho;Choi, Hyuk Jin;Jang, Jae Hoon;Kim, Jae Hun;Yeom, Seok Ran
    • Journal of Trauma and Injury
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    • v.34 no.3
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    • pp.155-161
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    • 2021
  • Purpose: The coronavirus disease 2019 (COVID-19) pandemic has necessitated a redistribution of resources to meet hospitals' service needs. This study investigated the impact of COVID-19 on a regional trauma center in South Korea. Methods: We retrospectively reviewed cases of polytrauma at a single regional trauma center in South Korea between January 20 and September 30, 2020 (the COVID-19 period) and compared them to cases reported during the same time frame (January 20 to September 30) between 2016 and 2019 (the pre-COVID-19 period). The primary outcome was in-hospital mortality, and secondary outcomes included the number of daily admissions, hospital length of stay (LOS), and intensive care unit (ICU) LOS. Results: The mean number of daily admissions decreased by 15% during the COVID-19 period (4.0±2.0 vs. 4.7±2.2, p=0.010). There was no difference in mechanisms of injury between the two periods. For patients admitted during the COVID-19 period, the hospital LOS was significantly shorter (10 days [interquartile range (IQR) 4-19 days] vs. 16 days [IQR 8-28 days], p<0.001); however, no significant differences in ICU LOS and mortality were found. Conclusions: The observations at Regional Trauma Center, Pusan National University Hospital corroborate anecdotal reports that there has been a decline in the number of patients admitted to hospitals during the COVID-19 period. In addition, patients admitted during the COVID-19 pandemic had a significantly shorter hospital LOS than those admitted before the COVID-19 pandemic. These preliminary data warrant validation in larger, multi-center studies.

A Study of the Knowledge and Educational Needs of College Students about Coronavirus Disease-2019 and Preventive Behavior Adopted Against it (코로나바이러스감염증-19(COVID-19)에 대한 대학생의 지식, 교육요구도 및 예방행위 수행도)

  • Kim, Jin-Hee;Yun, Jung-Sook;Park, Jae-Young
    • Journal of The Korean Society of Integrative Medicine
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    • v.9 no.1
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    • pp.109-121
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    • 2021
  • Purpose : The first case of coronavirus disease-2019 (COVID-19) disease outbreak in Korea occurred in January 2020, and the cumulative number of confirmed cases by the Central Defense Response Headquarters of the Quality Management Administration as of November 30 was 34,201. Looking at the incidence trend of domestic confirmed cases by age, the incidence rate of COVID-19 in the age group of 20-29 years, which corresponds to college students, was 27.4 %, the highest compared by age group. Considering the current status of the infection rate, universities will become the centers of new COVID-19 cases if face-to-face lectures are recommenced without preparatory measures and analysis of infection prevention (e.g., infection awareness and education for university students). Thus, this study intended to investigate the level of knowledge, educational needs, and preventive behavior performance of college students about COVID-19 and provide basic data for the development of an education program for the prevention of COVID-19 for college students. Methods : This study is a descriptive correlational study aimed to investigate the correlation between knowledge about COVID-19, educational needs, and degree of preventive behavior performance in 407 college students attending one University in Gyeonggi-do. Results : The subjects' knowledge score about COVID-19 was 12.46±1.39 points, average educational needs score was 29.16±3.14 points, and prevention behavior performance survey result was 35.50±3.61 points. Moreover, positive correlation was observed between the knowledge about COVID-19 and educational needs (r=.203, p<.001) and knowledge and preventive behavior performance (r=.140, p=.005). Further, educational needs and preventive behavior performance demonstrated a statistically significant positive relationship (r=.311, p<.001). Conclusion : Therefore, organizing an educational program to acquire accurate knowledge is necessary to make it a habit for college students to practice preventive behavior against COVID-19.

Sentiment Analysis of Airline Satisfaction Using Social Big Data: A Pre- and Post-COVID-19 Comparison

  • Ju-Yang Lee;Phil-Sik Jang
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.6
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    • pp.201-209
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    • 2024
  • The COVID-19 pandemic has significantly impacted the aviation industry, leading to worldwide changes in travel restrictions and security measures. This study analyzes 59,818 reviews of 147 airlines from the SKYTRAX website between 2016 and 2023 to understand the changes in airline service satisfaction before and after the pandemic. Using sentiment analysis, the study compares overall satisfaction, review sentiment, and attributes influencing satisfaction. The results show a statistically significant (p<0.001) decrease in overall satisfaction post-COVID-19, with reduced positive sentiment and increased negative sentiment for all airline selection attributes, except cabin and in-flight services. Flight operation services had the most significant impact on overall satisfaction during both periods. This quantitative analysis of global major airlines' satisfaction attributes before and after COVID-19 contributes to enhancing future service satisfaction in the airline industry.