• Title/Summary/Keyword: COVID-19 대유행

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Predicting Preventive Behavior Intention in COVID-19 Pandemic Context: Application of Social Variables to Health Belief Model (코로나19 팬데믹 상황에서의 감염 예방행동 의도에 관한 연구: 건강신념모델에 사회적 변인 적용을 중심으로)

  • Hong, Da-Ye;Jeon, Min-A;Cho, Chang-Hoan
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.22-35
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    • 2021
  • The unprecedented pandemic caused by the COVID-19 has led to a massive global public health campaign to slow the spread of the virus. Thus, this study examines the importance of individual's prevention behavior intention by adapting health belief model(HBM). In addition, we added social variables to understand the prevention behavior better considering the situation in which collective behaviors are important. The online survey results(N=298) showed that higher level of perceived severity, perceived susceptibility, perceived benefits, perceived peril, perceived social norms and lower level of perceived responsibility led to higher prevention behavior intention. Peril was the most influential factor among all the variables. In addition, perceived severity and social norms followed after that. Additional analysis also implied that socio-HBM model we proposed better explained the prevention behavior intention than traditional HBM.

Guidelines for dental clinic infection prevention during COVID-19 pandemic (코로나 바이러스 대유행에 따른 치과 의료 관리 가이드라인)

  • Kim, Jin
    • Journal of Korean Academy of Dental Administration
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    • v.8 no.1
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    • pp.1-7
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    • 2020
  • Dental settings have unique characteristics that warrant specific infection control considerations, including (1) prioritizing the most critical dental services and provide care in a way that minimizes harm to patients due to delayed care, or harm to personnel from potential exposure to persons infected with the COVID-19 disease, and (2) proactively communicate to both personnel and patients the need for them to stay at home if sick. For health care, an interim infection prevention and control recommendation (COVID-19) is recommended for patients suspected of having coronavirus or those whose status has been confirmed. SARS-CoV-2, which is the virus that causes COVID-19, is thought to be spread primarily between people who are in close contact with one another (within 6 feet) through respiratory droplets that are produced when an infected person coughs, sneezes, or talks. Airborne transmission from person-to-person over long distances is unlikely. However, COVID-19 is a new disease, and there remain uncertainties about its mode of spreads and the severity of illness it causes. The virus has been shown to persist in aerosols for several hours, and on some surfaces for days under laboratory conditions. COVID-19 may also be spread by people who are asymptomatic. The practice of dentistry involves the use of rotary dental and surgical instruments, such as handpieces or ultrasonic scalers, and air-water syringes. These instruments create a visible spray that can contain particle droplets of water, saliva, blood, microorganisms, and other debris. While KF 94 masks protect the mucous membranes of the mouth and nose from droplet spatter, they do not provide complete protection against the inhalation of airborne infectious agents. If the patient is afebrile (temperature <100.4°F)* and otherwise without symptoms consistent with COVID-19, then dental care may be provided using appropriate engineering and administrative controls, work practices, and infection control considerations. It is necessary to provide supplies for respiratory hygiene and cough etiquette, including alcohol-based hand rub (ABHR) with 60%~95% alcohol, tissues, and no-touch receptacles for disposal, at healthcare facility entrances, waiting rooms, and patient check-ins. There is also the need to install physical barriers (e.g., glass or plastic windows) in reception areas to limit close contact between triage personnel and potentially infectious patients. Ideally, dental treatment should be provided in individual rooms whenever possible, with a spacing of at least 6 feet between the patient chairs. Further, the use of easy-to-clean floor-to-ceiling barriers will enhance the effectiveness of portable HEPA air filtration systems. Before and after all patient contact, contact with potentially infectious material, and before putting on and after removing personal protective equipment, including gloves, hand hygiene after removal is particularly important to remove any pathogens that may have been transferred to the bare hands during the removal process. ABHR with 60~95% alcohol is to be used, or hands should be washed with soap and water for at least 20 s.

Comparison of Laboratory Tests Applied for Diagnosing the SARS-CoV-2 Infection (SARS-CoV-2 감염의 진단에 이용되는 검사실 테스트의 비교)

  • Lee, Chang-Gun;Lee, Dongsup
    • Korean Journal of Clinical Laboratory Science
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    • v.54 no.2
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    • pp.79-94
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    • 2022
  • Due to the highly contagious nature and severity of the respiratory diseases caused by COVID-19, economical and accurate tests are required to better monitor and prevent the spread of this contagion. As the structural and molecular properties of SARS-CoV-2 were being revealed during the early stage of the COVID-19 pandemic, many manufacturers of COVID-19 diagnostic kits actively invested in the design, development, validation, verification, and implementation of diagnostic tests. Currently, diagnostic tests for SARS-CoV-2 are the most widely used and validated techniques for rapid antigen, and immuno-serological assays for specific IgG and IgM antibody tests and molecular diagnostic tests. Molecular diagnostic assays are the gold standard for direct detection of viral RNA in individuals suspected to be infected with SARS-CoV-2. Antibody-based serological tests are indirect tests applied to determine COVID-19 prevalence in the community and identify individuals who have obtained immunity. In the future, it is necessary to explore technical problems encountered in the early stages of global or regional outbreaks of pandemics and provide future directions for better diagnostic tests. This article evaluates the commercially available and FDA-approved molecular and immunological diagnostic assays and analyzes their performance characteristics.

Characteristics of poisoning patients visiting emergency departments before and after the COVID-19 pandemic (코로나바이러스감염증-19 대유행 전, 후의 응급실로 내원한 중독 환자의 특성)

  • Seung Jae Kee;Yongil Cho;Hyunggoo Kang;Tae Ho Lim;Jaehoon Oh;Byuk Sung Ko;Juncheol Lee
    • Journal of The Korean Society of Clinical Toxicology
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    • v.20 no.2
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    • pp.66-74
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    • 2022
  • Purpose: This study investigates the characteristics and prognosis of acute poisoning patients visiting nationwide emergency departments before and after the Coronavirus disease 2019 (COVID-19) pandemic. Data were obtained from the National Emergency Department Information System (NEDIS). Methods: This nationwide retrospective observational study included acute poisoning patients who visited the emergency departments between February 1 to December 31, 2020, which has been determined as the pandemic period. The same periods in 2018 and 2019 were designated as the control periods. The primary outcome assessed was the length of stay in emergency departments (EDLOS). The secondary outcomes examined were intensive care unit admission rate and in-hospital mortality rate before and after the pandemic. A subgroup analysis was performed for inpatients and intentional poisoning patients. Results: A total of 163,560 patients were included in the study. During the pandemic, the proportion of women increased from 50.0% in 2018 and 50.3% in 2019 to 52.5% in 2020. Patients aged 20-29 years increased from 13.4% in 2018 and 13.9% in 2019 to 16.6% in 2020. A rise in cases of intentional poisoning was also noted - from 33.9% in 2018 and 34.0% in 2019 to 38.4% in 2020. Evaluating the hospitalized poisoned patients revealed that the EDLOS increased from 3.8 hours in 2018 and 3.7 hours in 2019 to 4.2 hours in 2020. ICU admissions were also markedly increased (2018, 48.2%; 2019, 51.8%; 2020, 53.2%) among hospitalized patients. Conclusion: The COVID-19 pandemic has changed the epidemiology, clinical characteristics, and prognosis of acute poisoning patients visiting nationwide emergency departments in Korea. The proportion of young adults, women, and intentional poisoning patients has increased after the COVID-19 pandemic. Prolonged length of stay at the emergency department and an increased rate of intensive care unit admissions were determined in hospitalized acute poisoning patients.

Design and Implementation of User-Interactive Crowd Accident Avoiding System (CAAS) (공공데이터와 인공지능을 활용한 상호작용형 군중 사고 예방 시스템 설계 및 구현)

  • JunWan Kim;YoungBae Kong;ByeongHo Kim;MinJae Park;JeongEun Nah
    • Annual Conference of KIPS
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    • 2023.11a
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    • pp.914-915
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    • 2023
  • COVID-19 대유행 및 이태원 압사 사고로 인해 안전 관점의 인구 밀집에 관심이 높아졌으며, 기존 CCTV를 통한 단순 관찰방식을 넘어 유동 인구의 흐름까지 예측한 인구 밀집도 파악이 필요하게 되었다. 본 논문에서는 기존 관찰방식 공공데이터 CCTV에 컴퓨터 비전(CV) 및 다중 객체 추적(MOT) 기술을 추가 적용하여 사용자 중심(시각, 장소)의 유동 인구수와 인구 밀집 지역을 파악할 수 있는 모델을 제안하고 구현하였다. 이 모델을 적용함으로써 시민들은 안전한 환경에서 인구 밀집에 관련된 사고로부터 보호받을 수 있을 것으로 기대한다.

A Study on Establishment of Social Force Model for Maintaining Social Distance on Multi Use Facility (다중밀집시설의 사회적 거리 유지를 위한 Social Force Model 구축방안)

  • Cho, Woncheol;Ko, ChilJin;Kim, DoGyun;Kim, Chunsu;Yu, ByungYoung;Lee, Seonha
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.4
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    • pp.1-12
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    • 2020
  • In this study, the effect of the social distance maintenance and pedestrian route system was analyzed for Seoul Station, one of the multi use facilities according to the COVID-19 pandemic. For analysis, the Seoul Station pedestrian network was established through the survey of the number of passengers and CAD floor plan. A pedestrian that maintaining Social Distance was implemented using the Social Force Model. Based on this, scenario analysis was proceed. As a result, when the walking line system was installed the average walking speed decreased compared to the current situation. but the average density was analyzed that maintain the walking level of service (LOS)'C', this mean walking line system is effective, and the effect of the walking line system was proved. It can be used as a pedestrian simulation model.

Adaptive Face Mask Detection System based on Scene Complexity Analysis

  • Kang, Jaeyong;Gwak, Jeonghwan
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.5
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    • pp.1-8
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    • 2021
  • Coronavirus disease 2019 (COVID-19) has affected the world seriously. Every person is required for wearing a mask properly in a public area to prevent spreading the virus. However, many people are not wearing a mask properly. In this paper, we propose an efficient mask detection system. In our proposed system, we first detect the faces of input images using YOLOv5 and classify them as the one of three scene complexity classes (Simple, Moderate, and Complex) based on the number of detected faces. After that, the image is fed into the Faster-RCNN with the one of three ResNet (ResNet-18, 50, and 101) as backbone network depending on the scene complexity for detecting the face area and identifying whether the person is wearing the mask properly or not. We evaluated our proposed system using public mask detection datasets. The results show that our proposed system outperforms other models.

Influence of Infection Control Fatigue and Social Support on Nurses' Burnout During the Coronavirus Disease 2019 Pandemic (코로나19 대유행에 따른 간호사의 감염관리 피로도, 사회적 지지가 소진에 미치는 영향)

  • Kang, Hee Jeong;Lee, Mi Hyang;Lim, Hyo Nam;Lee, Kyung Hwa
    • Journal of Korean Clinical Nursing Research
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    • v.28 no.3
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    • pp.299-307
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    • 2022
  • Purpose: The purpose of this study was to understand the effects of infection control fatigue and social support on burnout among nurses during the Coronavirus Disease 2019 (COVID-19) pandemic. Methods: This study is a descriptive survey study designed to confirm the effects of nurses' infection control fatigue and social support on burnout among nurses during the COVID-19 pandemic. The collected data were analyzed using frequency, percentage, mean, standard devia analyzed using frequency, percentage, mean, standard deviation, independent t-test, One-way ANOVA, Scheffe test, Pearson's correlation coefficient, and stepwise multiple regression analysis using SPSS Statistics 26.0. Results: An analysis of the correlations between fatigue from infection control, social support, and burnout showed a positive correlation between burnout and fatigue from infection control (r=.39, p<.001), and a negative correlation between burnout and social support (r=-.29, p<.001). Conflict and lack of support due to uncertain circumstances (β=.51, p<.001), support from supervisor's (β=-.22, p<.001), and experience of infection management education during the previous 1year (β=-.15, p=.007) were identified as the factors that influenced burnout among nurses, and explained 39.0% of the variance in burnout. Conclusion: The results of this study demonstrate that fatigue from infection control and social support influence burnout levels among nurses, which suggests the need to establish a new kind of work culture. Additionally, the findings call for the development and implementation of interventional programs that can reduce fatigue from infection control and increase social support for nurses.

SARS-CoV-2 detection and infection scale prediction model in sewer system (하수도 체계에서의 SARS-CoV-2 검출 및 감염 확산 예측)

  • Kim, Min Kyoung;Cho, Yoon Geun;Shin, Jung gon;Jang, Ho Jin;Ryu, Jae Won
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.392-392
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    • 2022
  • 세계적 규모의 팬데믹 감염병의 출현은 전 세계적으로 경제적, 문화적, 사회적 파급효과가 매우 강력하며 전 인류를 위협하고 있다. 최근에 발병한 중증급성 호흡기질환 코로나바이러스 2(Severe Acute Respiratory Syndrome Coronavirus 2, SARS-CoV-2)는 2019년 12월 중국 우한에서 첫 보고 되었고 2022년 현재까지 종식되지 않고 있으며 바이러스의 전파력과 치명률이 높고 무증상 감염상태일 때에도 전염이 가능하여 현재 역학조사의 사후적 대응에 대한 한계가 있어 선제적 대응을 위한 수단이 필수 불가결해지고 있는 실정이다. 하수기반역학(Waste Based Epidemiology, WBE)이란 하수처리장으로 유입되기 전의 하수를 분석하여 하수 집수구역 내 도시민의 생활상을 예측하는 것으로 하수로 배출된 감염자의 분비물 및 배설물 속 바이러스를 하수관로에서 신속하게 검출함으로써 특정지역의 감염성 질환 전파 정도와 유행하는 타입(변이)등을 분석하고 기존 역학조사의 문제점을 극복할 수 있으며 선제적인 대응이 가능하다. 현재 COVID-19의 대유행과 관련하여 WBE를 기반으로 한 다양한 연구가 진행되고 있으며 실제 환자의 발생과 상관관계가 있음이 확인되고 있고 백신 접종과 새롭게 발생한 변이바이러스의 관계 속에서 발생하는 변수를 고려한 모델이 없다는 점을 들어 새로운 감염병 확산 예측 모델에 대한 필요성 또한 커지고 있다. 본 연구에서는 병원에서부터 하수처리장까지의 하수관거와 하수처리장에서의 SARS-CoV-2 검출농도 및 거동을 파악하는 것을 목적으로 하고 있으며 COVID-19의 감염규모 확산에 관한 방법론에서 수학적모델 (Euler Method, RK4 Method, Gillespie Algorithm)과 딥러닝 기반의 Nowcasting model과 Fore casting model을 살펴보고자 한다.

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Beyond adaptation: Transforming pedagogies of teaching elementary mathematics methods course in the online environment (온라인 환경에서 초등 수학 방법론 수업의 교수법 변화)

  • Kwon, Minsung;Yeo, Sheunghyun
    • The Mathematical Education
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    • v.61 no.4
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    • pp.521-537
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    • 2022
  • The unprecedented COVID-19 pandemic has disrupted, interrupted, and changed the way we normally prepare our teacher candidates in teacher preparation programs. In this paper, we, two mathematics teacher educators (MTEs), reflect our own experiences in appropriating, transforming, reconstructing, and modifying our pedagogies of teacher education in making a transition from face-to-face to online environment during the COVID-19 pandemic. Using a collaborative self-study, we discussed issues, challenges, changes, opportunities, and innovations of teaching an elementary mathematics methods course in the online environment. Using a constant comparison method, we explored the following three themes: (1) using virtual manipulatives; (2) creating collaborative, interactive, and shared learning experiences for preservice teachers; and (3) making preservice teachers engaged in student thinking. These findings indicated that online teaching requires transformative knowledge for teacher educators. Transferring face-to-face to online is not a simple matter of putting the existing content to online; it should focus on pedagogical improvement in teaching mathematics rather than technology's sake or how it can be repurposed in a new online environment in a way that students' learning is optimized. The findings of this study provide implications for unpacking MTEs' technological pedagogical content knowledge (TPACK), creating collaborative learning experiences for preservice teachers, and designing a collaborative self-study between MTEs engaged in the community of professional learning.