• 제목/요약/키워드: COVID-19 epidemic

검색결과 146건 처리시간 0.021초

COVID-19가 유발한 사회재난이 소비자물가지수에 미치는 영향: 문화체육관광분야를 중점으로 (The Impact of Social disaster by COVID-19 on Consumer Price Index: Focused on Culture, Sports and Tourism)

  • 이다혜;장인홍
    • 통합자연과학논문집
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    • 제14권3호
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    • pp.130-138
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    • 2021
  • The outbreak of COVID-19 has had a huge impact on human life. The World Bank group (WBG) has stated that 2020 is the worst year since World War II for economic growth. An epidemic of an infectious disease such as COVID-19 is classified as a "social disaster" by law. The social disaster caused by COVID-19 puts certain industries, occupations and vulnerable groups at risk of exclusion and isolation. This paper intends to examine the fluctuations in the consumer price index in the cultural, sports and tourism sector before and after the onset of COVID-19. In addition, it predicts the consumer price index by sector until December 2021 and reveals its implications.

Mental Health of Medical Students After Combating the COVID-19 Epidemic: A Cross-sectional Study in Vietnam

  • Duc Minh Cap;Anh Quang Nguyen;Tham Thi Nguyen
    • Journal of Preventive Medicine and Public Health
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    • 제57권4호
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    • pp.347-355
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    • 2024
  • Objectives: This study was conducted to investigate the prevalence of mental health (MH) symptoms and associated factors among medical students who were engaged in combating the coronavirus disease 2019 (COVID-19) epidemic in 4 provinces/cities of Vietnam. Methods: A cross-sectional study with 580 participants was conducted at a medical university in Northern Vietnam. MH was assessed using the 21-item Depression, Anxiety, and Stress Scale, which was previously standardized in Vietnam. Data were collected through a structured self-administered questionnaire. Multivariate logistic regression was employed to examine the association between MH symptoms and relevant factors. Results: Out of a total of 2703 medical students, 21.5% responded to the questionnaire. Among the 580 respondents, the prevalence rates of depression, anxiety, and stress were 43.3%, 44.0%, and 24.7%, respectively. Factors significantly associated with self-reported depression included being female and having a COVID-19 infection. Similarly, being female and having a COVID-19 infection were significantly associated with self-reported anxiety. Factors associated with self-reported stress included being female, having a personal or family history of MH symptoms, working more than 8 hr/day, and having a COVID-19 infection. Conclusions: COVID-19 has adversely impacted the MH of medical students. Our findings are valuable in their potential to motivate universities, MH professionals, and authorities to offer mental healthcare services to this group. Furthermore, there is a pressing need for training courses designed to equip future healthcare workers with the skills to manage crises effectively.

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.

A study on changes in domestic tourism trends using social big data analysis - Comparison before and after COVID19 -

  • Yoo, Kyoung-mi;Choi, Youn-hee
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권2호
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    • pp.98-108
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    • 2022
  • In this study, social network analysis was performed to compare and analyze changes in domestic tourism trends before and after the outbreak of COVID-19 in a situation where the damage to the tourism industry due to COVID-19 is increasing. Using Textom, a big data analysis service, data were collected using the keywords "travel destination" and "travel trend" based on the collection period of 2019 and 2020, when the epidemic spread to the world and became chaotic. After extracting a total of 80 key words through text mining, centrality was analyzed using NetDraw of Ucinet6, and clustered into 4 groups through CONCOR analysis. Through this, we compared and analyzed changes in domestic tourism trends before and after the outbreak of COVID-19, and it is judged to provide basic data for tourism marketing strategies and tourism product development in the post-COVID-19.

Halo, Reversed Halo, or Both? Atypical Computed Tomography Manifestations of Coronavirus Disease (COVID-19) Pneumonia: The "Double Halo Sign"

  • Antonio Poerio;Matilde Sartoni;Giammichele Lazzari;Michele Valli;Miria Morsiani;Maurizio Zompatori
    • Korean Journal of Radiology
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    • 제21권10호
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    • pp.1161-1164
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    • 2020
  • The epidemic of 2019 novel coronavirus, later named as coronavirus disease (COVID-19), began in Wuhan, China in December 2019 and has spread rapidly worldwide. Early diagnosis is crucial for the management of the patients with COVID-19, but the gold standard diagnostic test for this infection, the reverse transcriptase polymerase chain reaction, has a low sensitivity and an increased turnaround time. In this scenario, chest computed tomography (CT) could play a key role for an early diagnosis of COVID-19 pneumonia. Here, we have reported a confirmed case of COVID-19 with an atypical CT presentation showing a "double halo sign," which we believe represents the pathological spectrum of this viral pneumonia.

A Study and Analysis of COVID-19 Diagnosis and Approach of Deep Learning

  • R, Mangai Begum
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.149-158
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    • 2022
  • The pandemic of Covid-19 (Coronavirus Disease 19) has devastated the world, affected millions of people, and disrupted the world economy. The cause of the Covid19 epidemic has been identified as a new variant known as Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV2). It motives irritation of a small air sac referred to as the alveoli. The alveoli make up most of the tissue in the lungs and fill the sac with mucus. Most human beings with Covid19 usually do no longer improve pneumonia. However, chest x-rays of seriously unwell sufferers can be a useful device for medical doctors in diagnosing Covid19-both CT and X-ray exhibit usual patterns of frosted glass (GGO) and consolidation. The introduction of deep getting to know and brand new imaging helps radiologists and medical practitioners discover these unnatural patterns and pick out Covid19-infected chest x-rays. This venture makes use of a new deep studying structure proposed to diagnose Covid19 by the use of chest X-rays. The suggested model in this work aims to predict and forecast the patients at risk and identify the primary COVID-19 risk variables

시계열 군집을 활용한 부산시 감염병 지원 정책 방향: COVID-19 사례를 중심으로 (A Direction of Politic Support for Infectious Disease in Busan Using Time-series Clustering: Focusing on COVID-19 Cases)

  • 권현호;김도희;박찬호;이은주;조기행;배혜림
    • 한국빅데이터학회지
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    • 제5권1호
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    • pp.125-138
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    • 2020
  • COVID-19 확산 이후 국가 위기경보 단계가 최고 수준인 4단계로 올라갔다. 우리나라의 경우, 대구에서 발생한 집단 감염으로 인하여 경북지역에서 코로나 확진자가 급증하면서 전국적으로 확산되어 갔다. 코로나 확산에 따라 정부 및 각 지자체에서는 시민들의 불안감과 경제적 어려움을 해소하고자 지원 대책을 마련하였다. 부산시도 시민들의 정책 수요를 파악한 결과, 공공요금 인하, 기본소득 지급, 소상공인 경영지원 강화 등의 정책에 대한 수요가 다수를 차지하였다. 시민들의 수요를 바탕으로 본 연구에서는 코로나 전·후의 데이터를 패턴 분석하여 부산시 구/군별 업종별 시계열 군집화를 통해 경제적 지원에 있어 선제적 관점을 제공한다. 또한 향후 전염병과 재난 발생 시 예방 및 정책 방향을 설정하는 데 도움을 줄 수 있을 것이다.

국내 코로나바이러스감염증-19 유행 제3-4기 소아청소년 환자의 임상적 특성: 단일기관 후향적 연구 (Clinical Characteristics of Pediatric Patients With the Coronavirus Disease 2019 During the Third and Fourth Waves of the Epidemic in Korea: A Single Center Retrospective Study)

  • 문가원 ;신동현;최수한
    • Pediatric Infection and Vaccine
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    • 제29권3호
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    • pp.131-140
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    • 2022
  • 목적: 코로나바이러스감염증-19 (coronavirus disease 2019, 코로나19) 대유행이 시작된 이후 새로운 변이 바이러스들이 지속적 출현으로 반복되는 코로나19 유행이 장기간 지속되고 있다. 본 연구는 국내 코로나19 유행 제3기와 제4기 중반까지 소아 청소년 환자의 임상적, 역학적 특성을 파악하고자 하였다. 방법: 코로나19 확진으로 입원한 18세 이하 환자의 의무기록을 후향적으로 분석하였다. 연구기간은 제3기 유행(2020년 11월 13일-2021년 7월 6일)과 제4기 유행(2021년 7월 7일-10월 31일)로 구분하였다. 결과: 총 93명이 분석에 포함되었다(제3기 33명, 제4기 60명). 제3기에 비해 제4기 환자군의 중간 연령이 유의하게 높았다(6.7세 vs. 2.8세, P=0.014). 가정 내 전파가 전체 환자의 60.2%에서 보고되었고 두 시기에서 유사하였다(69.7% vs. 55.0%, P=0.190). 전체 환자 중 87.1% (81명)가 유증상 확인자였다. 이중 12.3%는 호흡기 증상이 없었다. 후각/미각 소실은 제4기 유행 환자군에 더 많이 관찰되었다(10.7% vs. 34.0%, P=0.032). 대부분의 호흡기 감염은 상기도 감염(94.4%, 67/71)이었고 4명 환자에서 폐렴이 동반되었다. 두 유행기 동안 진단 시 바이러스 수치의 유의한 차이는 없었다. 결론: 단일기관 후향적 연구의 제한점이 있으나 국내 코로나19 유행 제3기와 제4기 중반 동안 소아청소년 환자는 대체로 경증이었고 두 시기에서 임상적 특성 차이가 관찰되었다.