• 한국콘텐츠학회논문지
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• 제22권7호
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• pp.384-394
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• 2022

본 연구에서는 코로나19 이후 복지대상자들의 인구사회학적 특성(성별, 자녀유무, 가구형태)에 따른 생활 및 건강 문제들을 세밀하게 분석하여, 보다 실질적이고 구체적인 복지정책 및 서비스의 방향을 제시하고자 하였다. 서울시 𐩒𐩒구에 거주하는 행복e-음 대상자 중 500명을 무작위로 선정하여, 대상자의 전반적인 생활영역, 신체적, 정신적 건강 등에 대한 설문조사를 실시하였고, 분석방법은 t-test와 ANOVA분석, 교차분석을 실시하였다. 분석 결과 고용과 자녀 돌봄, 여가 및 문화활동, 전반적인 사회활동의 제한과 관련된 어려움에서 성별과 자녀유무 또는 가구형태에 따른 차이가 있는 것으로 나타났다. 건강상태와 관련해서는 코로나19 이전 보다 이후에 정신건강 상태가 나빠진 것으로 나타났고, 전반적인 삶의 만족도도 낮아진 것으로 나타났다. 또한 코로나블루와 죽음에 대한 생각과 관련해서 집단 간 차이가 있는 것으로 나타났다. 이러한 연구 결과를 토대로 코로나19 이후 뉴노멀 사회에서 필요한 복지서비스의 방향에 대해 제언하였다.

• 한국정보통신학회논문지
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• 제25권12호
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• pp.1756-1761
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• 2021

2019년 12월경 후베이 우한시에서 발생한 코로나19 바이러스가 점차 줄어드는 듯 보였으나, 2020년 11월, 2021년 6월 기준으로 점차 늘어나고 있으며, 전세계적으로 총 1억 9천 2백만명, 대한민국 기준 총 확진자는 대략 18만4천명으로 추정된다. 이에 따른 대책으로 중앙재난안전대책본부는 사회적 거리두기 4단계를 시행하면서 강력한 대응책을 내고있지만, 델타바이러스등 전염성이 강한 코로나 변이 바이러스가 기승을 부리면서 국내 일일 확진자 수는 1800명대 까지 증가하게 되었다. 그에따라 코로나바이러스의 심각성을 강조하고자 코로나 누적 확진자 수를 ARIMA 알고리즘을 이용해 예측한다. 그 과정에서 추세와 계절성을 제거하기 위해서 차분을 이용하고, MA, AR, 자기상관함수와 편자기상관함수를 이용해 ARIMA에서 p,d,q값을 결정하고 예측한다. 마지막으로 예측값과 실제값을 비교해 얼마나 잘 예측되었는지 평가한다.

• 농촌의학ㆍ지역보건
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• 제48권1호
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• pp.13-27
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• 2023

Objectives: The purpose of this study is to investigate changes in public health-related perceptions of residents of Gangwon province after the outbreak of Coronavirus disease-19(COVID-19) of the public. Methods: We performed paired T-test analysis to measure the change in public health-related perceptions before and after COVID-19. We also utilized generalized estimating equations to identify demographic factors correlated with public health-related perceptions. Results: The public perceived public health as 'All citizens can use medical care and protect/promote health.' The concept was the most popular, from 94.3% in 2019 to 95.5% in 2020. In addition, after COVID-19, residents of Gangwon province's satisfaction with medical services increased, but the overall level was not high. Among the eight essential healthcare needs after COVID-19, cardiovascular disease and injury services have emerged as preferred services. However, by sociodemographic factors, distinctive responses were detected. Conclusions: Through COVID-19, Gangwon residents' awareness of the public's health rights has increased. Those living in vulnerable areas or with unmet medical care, supported strengthening public health care. In addition, although medical satisfaction has increased, it is not satisfied, so listening to the voices of the population group with low satisfaction is essential. Lastly, since the necessity of essential health care may change due to specific events, the local government needs to plan health projects reflecting the needs of residents. Therefore, when designing the public health care strategy in Gangwon province, the local government should consider not only political factors but also environmental factors, demographic and conceptual factors.

• 한국전자통신학회논문지
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• 제15권3호
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• pp.611-616
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• 2020

본 논문은 대도시에서의 COVID-19 바이러스 확산을 막기 위해, 대한민국 서울의 감염 상황에 대한 클러스터 분석을 통한 링크드 데이터 기반 시맨틱 진단 및 추적 시스템을 제안한다. 본 논문은 크게 3개의 섹션으로 구성되어 있는데, 클러스터 분석을 위해 서울의 감염자 정보를 수집하고, 중요한 감염 환자 속성을 추출하여 랜덤 포레스트를 기반으로 한 진단 모델을 구축하고, 그리고 링크드 데이터를 기반으로 한 추적 시스템을 설계하고 구현한다. 실험 결과 진단 모델의 정확도가 80% 이상으로 나타났으며, 더군다나 본 논문에서 제안한 추적 시스템은 기존 시스템들보다 더 유연하고 개방적이며 시맨틱 쿼리도 지원한다.

• Asian Journal of Business Environment
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• 제10권4호
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• pp.15-19
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• 2020

Purpose: This research aims to explore the level of air pollution in Jakarta, the epicenter of COVID-19 Pandemic in Indonesia and its surrounding provinces during the first month of the Pandemic. Research design, data and methodology: This study uses data, which have been obtained real time from API (Application Programming Interfaces) of air quality website. The measurements of Air Quality Index (AQI), temperature, humidity, and other factors from several cities and regencies in Indonesia were obtained eight times a day. The data collected have been analyzed using descriptive statistics and mapped using QGIS. Results: The finding of this study indicates that The Greater Jakarta Area experienced a decrease in pollutant levels, especially in the Bogor area. Nevertheless, some areas, such as the north Jakarta, have exhibited slow reduction. Furthermore, the regions with high COVID-19 confirmed cases have experienced a decline in AQI. Conclusions: The study concludes that the air quality of three provinces, Jakarta, Banten, and West Java, especially in cities located in the Jakarta Metropolitan Area during COVID-19 pandemic and large-scale social restrictions, is getting better. However, in some regions, the reduction of pollutant concentrations requires a longer time, as it was very high before the pandemic.

• Genomics & Informatics
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• 제19권2호
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• pp.14.1-14.6
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• 2021

Coronavirus disease 2019 (COVID-19) is an on-going pandemic disease infecting millions of people across the globe. Recent reports of reduction in antibody levels and the re-emergence of the disease in recovered patients necessitated the understanding of the pandemic at the core level. The cases of multiple organ failures emphasized the consideration of different organ systems while managing the disease. The present study employed RNA sequencing data to determine the disease associated differentially regulated genes and their related protein interactions in several organ systems. It signified the importance of early diagnosis and treatment of the disease. A map of protein interactions of multiple organ systems was built and uncovered CAV1 and CTNNB1 as the top degree nodes. A core interactions sub-network was analyzed to identify different modules of functional significance. AR, CTNNB1, CAV1, and PIK3R1 proteins were unfolded as bridging nodes interconnecting different modules for the information flow across several pathways. The present study also highlighted some of the druggable targets to analyze in drug re-purposing strategies against the COVID-19 pandemic. Therefore, the protein interactions map and the modular interactions of the differentially regulated genes in the multiple organ systems would incline the scientists and researchers to investigate in novel therapeutics for the COVID-19 pandemic expeditiously.

• 보건행정학회지
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• 제31권3호
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• pp.374-383
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• 2021

Background: The purpose of this study is to identify the factors affecting the depressive mood experience in university students by gender. Methods: This study is a descriptive survey that conducted a secondary analysis using data from the 2020 Community Health Survey, which is conducted annually in Korea. The study targets 8,928 college students, 4,682 male students and 4,246 female students. Data analysis was conducted after creating a composite sample plan file that reflected layering variables, colony variables, and weights. Results: Factors affecting the depressive mood experience of both males and females were household income, smoking, subjective stress levels, changes in drinking and smoking, and the number of encounters caused by coronavirus disease 2019 (COVID-19). Factors influencing the depressive mood experience of females were the presence of breakfast, changes in physical activity due to COVID-19, and the presence of helpers in self-quarantine due to COVID-19 (p<0.05). Conclusion: Psychological counseling programs should be promoted to actively utilize mental health in those in their 20s and 30s. Universities also need to detect depressed students early through screening and perform timely and appropriate interventions.

• 지역사회간호학회지
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• 제32권4호
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• pp.467-476
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• 2021

Purpose: The purpose of this study is to understand the social perceptions of nurses in the context of the COVID-19 outbreak through analysis of media articles. Methods: Among the media articles reported from January 1st to September 30th, 2020, those containing the keywords '[corona or Wuhan pneumonia or covid] and [nurse or nursing]' are extracted. After the selection process, the text mining and topic modeling are performed on 454 media articles using textom version 4.5. Results: Frequency Top 30 keywords include 'Nurse', 'Corona', 'Isolation', 'Support', 'Shortage', 'Protective Clothing', and so on. Keywords that ranked high in Term Frequency-Inverse Document Frequency (TF-IDF) values are 'Daegu', 'President', 'Gwangju', 'manpower', and so on. As a result of the topic analysis, 10 topics are derived, such as 'Local infection', 'Dispatch of personnel', 'Message for thanks', and 'Delivery of one's heart'. Conclusion: Nurses are both the contributors and victims of COVID-19 prevention. The government and the nurses' community should make efforts to improve poor working conditions and manpower shortages.

• Genomics & Informatics
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• 제19권3호
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• pp.24.1-24.7
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• 2021

Tracking the most recent advances in Coronavirus disease 2019 (COVID-19)-related research is essential, given the disease's novelty and its impact on society. However, with the publication pace speeding up, researchers and clinicians require automatic approaches to keep up with the incoming information regarding this disease. A solution to this problem requires the development of text mining pipelines; the efficiency of which strongly depends on the availability of curated corpora. However, there is a lack of COVID-19-related corpora, even more, if considering other languages besides English. This project's main contribution was the annotation of a multilingual parallel corpus and the generation of a recommendation dataset (EN-PT and EN-ES) regarding relevant entities, their relations, and recommendation, providing this resource to the community to improve the text mining research on COVID-19-related literature. This work was developed during the 7th Biomedical Linked Annotation Hackathon (BLAH7).

• 한국학교보건학회지
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• 제34권3호
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• pp.190-199
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• 2021

Purpose: The study aims to identify factors that influence university students' compliance with infection prevention behaviors in the early stage of COVID-19. Methods: A survey was conducted online from July 29 to August 2, 2020, involving 261 students enrolled in general universities. Frequency analysis, descriptive statistics, t-test, ANOVA, correlation, and multiple regression analysis were carried out on the collected data using SPSS 24.0. Results: The average score of university students' risk perception of COVID-19 was 3.80, while the average score of health risk communication was 3.92. The average score of efficacy beliefs was 4.42 and the average score of practicing infection prevention behaviors was 4.54. Factors influencing the level of infection prevention behaviors were efficacy of preventive behaviors (β=.48 p<.001), health risk communication (β=.16, p=.003), subjective health status (β=.12, p=.015), and the type of college (β=.11, p=.041). Conclusion: In order to improve college students' infection prevention behaviors related to COVID-19, consideration should be given to providing interventions that focus on accurate knowledge and dissemination of accurate information about new infectious diseases and effectiveness of infection preventive behaviors.