• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제28권2호
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• pp.31-38
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• 2022

Purpose: This study presents the results of the analysis on space utilization of kidney dialysis units in regional public hospitals, which plays a key role in local public medical services. The result aims to achieve safety from infection, allow comfort for the dialysis environment, and stability for medical support. The purpose of this study is to present fundamental data for architectural plans for the kidney dialysis unit, as well as to alleviate potential infectious diseases such as COVID-19. Methods: For research purposes, the investigation and analysis of space utilization were based on architectural floor plans, research papers and literature, related legal systems, and public statistics. Of the main 35 regional public hospitals, in regards to data accessibility, 15 facilities were selected to conduct the survey and analysis for the objective. Results: The space composition by area research results of kidney dialysis units in public hospitals are as follows: Firstly, most targets do not have required rooms in the access and support area, except for the hemodialysis beds in the treatment section. Secondly, the access area requires necessary room and space design that took into consideration of convenience and accessibility for patients. Thirdly, in regards to infection prevention and control, proper circulation and room plan is essential for storage and disposal of contaminated products and linen after use. For the treatment area, the arrangement plan needs to establish a visual connection between the isolation room, the nursing station, and the bed area. Additionally, consideration of circulation in the preparation, treatment, observation, examination, and all other rooms in the facility is required. Lastly, for the support area, the room is designed to consider adequate working and meeting spaces for the medical staff, consultation space for patients or guardians, separate storage and disposal of clean and contaminated items, and the storage of various equipment for dialysis. Implications: In preparation for the increase in chronic kidney failure patients and the spread of infectious diseases, such as COVID-19, the researched data demonstrates the basic guidelines for space composition of kidney dialysis units and the significant role of regional public hospitals.

• Genomics & Informatics
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• 제19권1호
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• pp.11.1-11.8
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• 2021

For the novel coronavirus disease 2019 (COVID-19), predictive modeling, in the literature, uses broadly susceptible exposed infected recoverd (SEIR)/SIR, agent-based, curve-fitting models. Governments and legislative bodies rely on insights from prediction models to suggest new policies and to assess the effectiveness of enforced policies. Therefore, access to accurate outbreak prediction models is essential to obtain insights into the likely spread and consequences of infectious diseases. The objective of this study is to predict the future COVID-19 situation of Korea. Here, we employed 5 models for this analysis; SEIR, local linear regression (LLR), negative binomial (NB) regression, segment Poisson, deep-learning based long short-term memory models (LSTM) and tree based gradient boosting machine (GBM). After prediction, model performance comparison was evelauated using relative mean squared errors (RMSE) for two sets of train (January 20, 2020-December 31, 2020 and January 20, 2020-January 31, 2021) and testing data (January 1, 2021-February 28, 2021 and February 1, 2021-February 28, 2021) . Except for segmented Poisson model, the other models predicted a decline in the daily confirmed cases in the country for the coming future. RMSE values' comparison showed that LLR, GBM, SEIR, NB, and LSTM respectively, performed well in the forecasting of the pandemic situation of the country. A good understanding of the epidemic dynamics would greatly enhance the control and prevention of COVID-19 and other infectious diseases. Therefore, with increasing daily confirmed cases since this year, these results could help in the pandemic response by informing decisions about planning, resource allocation, and decision concerning social distancing policies.

• 한국응급구조학회지
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• 제26권1호
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• pp.57-70
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• 2022

Purpose: The purpose of this study was to investigate the effect of coronavirus disease-19 (COVID-19) knowledge, anxiety, and psychosocial well-being on the infection prevention behavior of college students in health care. Methods: This study is a descriptive survey research. A total of 301 college students at four health care departments in three regions were surveyed using a structured questionnaire from February 10 to February 16, 2022. The collected data were analyzed using descriptive statistics, independent t-test, and one-way ANOVA. Pearson correlation coefficients and multiple regression analyses were done using SPSS ver. 18.0. Results: Knowledge on COVID-19 was significantly dependent on a family history of chronic disease (p=.049). Anxiety was significantly dependent on test of COVID-19 (p=.040). Gender (p=.049), perceived physical and mental health status (p=.000), and chronic disease (p=.000) had significant effects on infection prevention behavior. When the level of anxiety was higher, the infection prevention behavior was also higher (p=.000) and the psychosocial well-being was improved (p=.017). Stepwise multiple regression analysis revealed that anxiety significantly improved the infection prevention behavior (𝛽=.396, p<.001) and psychosocial well-being (𝛽=-.139, p=.008), which accounts for 18.5% (F=22.444, p<.001) of the variance. Conclusion: In order to prevent infectious diseases such as COVID-19 and its spread, measures to prevent infection and improve the psychosocial well-being should also be sought.

• Journal of Platform Technology
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• 제11권4호
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• pp.3-12
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• 2023

포스트-코로나 시대에는 방역 조치의 중요성이 크게 강조되고 있으며, 이에 맞춰 딥러닝을 이용한 마스크 착용 상태 검출 및 다른 전염병 예방에 관련된 연구가 진행되고 있다. 그러나 질병 확산 방지를 위한 문화시설 관람객 탐지 및 추적 연구도 마찬가지로 중요하므로 이에 대한 연구가 진행되어야 한다. 본 논문에서는 사전 수집된 데이터 셋을 이용하여 컨볼루션 신경망 기반 객체 탐지 모델을 전이 학습시키고, 학습된 탐지 모델의 가중치를 다중 객체 추적 모델에 적용하여 방문객을 모니터링 한다. 방문객 탐지 모델은 Precision 96.3%, Recall 85.2% F1-Score 90.4%의 결과를 보여주었다. 추적 모델의 정량적 결과로 MOTA 65.6%, IDF1 68.3%. HOTA 57.2%의 결과를 보여주었으며, 본 논문의 모델과 다른 다중 객체 추적 모델 간의 정성적 비교에서 우수한 결과를 보여주었다. 본 논문의 연구는 포스트-코로나 시대의 문화시설 내 방역 시스템에 적용될 수 있을 것이다.

• 한국엔터테인먼트산업학회논문지
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• 제14권6호
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• pp.171-179
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• 2020

본 연구는 코로나-19 사회적 사태를 경험한 노인들의 정서적 변화를 알아보기 위해 J 시에 거주 중인 65세 이상 노인 6명을 대상으로 진행되었다. 연구 결과 1개의 구성요소와 4개의 하위 구성요소가 도출되었으며, 구성요소는 정서적 변화로 노인들은 코로나-19를 경험하면서 확산에 대한 불안함, 확진자 및 사망자 증가 소식에 대한 두려움, 외출 자제 등으로 인한 우울과 답답함, 종식에 대한 기대감을 경험하였다. '기술적 방역'을 아무리 열심히 해도 '심리적 방역'이 없으면 노인들의 불안은 커질 수밖에 없다. 본 연구에서는 코로나-19로 인한 두려움의 확산을 막기 위해 정확한 정보를 제공하고 '기술적 방역'뿐 아니라 노인들에게 '심리적 방역'인 정서적 지원 프로그램 등을 제공하여 노인들이 경험하는 부정적 정서에 대한 중재가 필요할 것으로 사료된다.

• Clinical and Experimental Vaccine Research
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• 제13권2호
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• pp.105-120
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• 2024

Vaccines are one of the most important and effective tools in the prevention of infectious diseases and research about all the aspects of vaccinology are essential to increase the number of available vaccines more and more safe and effective. Despite the unquestionable value of vaccinations, vaccine hesitancy has spread worldwide compromising the success of vaccinations. Currently, the main purpose of vaccination campaigns is the immunization of whole populations with the same vaccine formulations and schedules for all individuals. A personalized vaccinology approach could improve modern vaccinology counteracting vaccine hesitancy and giving great benefits for human health. This ambitious purpose would be possible by facing and deepening the areas of vaccinomics and adversomics, two innovative areas of study investigating the role of a series of variables able to influence the immune response to vaccinations and the development of serious side effects, respectively. We reviewed the recent scientific knowledge about these innovative sciences focusing on genetic and non-genetic basis involved in the individual response to vaccines in terms of both immune response and side effects.

• 대한안전경영과학회지
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• 제24권2호
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• pp.33-39
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• 2022

In order to improve the implementation of safety and health education at the site for industrial accident prevention activities, research was conducted to minimize inconvenience and increase utilization by redesigning and developing existing education methods. To date, occupational safety and health education has been conducted without considering the general work characteristics and functional facilities (mechanical, electrical, instrumentation, chemical) of workers (mechanical: turbine, valve, pump, hydraulic system, electrical: generator, breaker, motor, etc.). In particular, plant facilities were classified as mechanical and electrical facilities to improve the methodology for industrial safety and health education for plant maintenance workers. In addition, the "One Page Education Plan" was announced as a learning case because the spread of COVID-19 infectious diseases made it impossible to reduce or control the number of people in all groups and groups. The improvement of this training method will play a major role in improving the effectiveness of safety education in power plant workplaces.

• 적정기술학회지
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• 제6권2호
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• pp.219-225
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• 2020

터치 장비와 스마트 러닝의 중요성이 높아짐에 따라 공공 기관 및 교육시설에서는 스마트 디바이스(smart device)를 업무 및 교육 환경에 적용하는 추세이다. 그러나 공공 스마트 디바이스 사용자들은 직·간접적 감염병 확산에 노출될 위험이 있다. 본 연구는 스마트 디바이스 사용자를 위해 손가락 끝을 감싸는 외골격 장치(Exo-finger)를 개발하였으며, 공용 장비에 활용 시 질병 예방 효과를 가지고자 한다. 활성화 재료인 카본 블랙(Carbon Black, CB)과 고분자 탄성중합체(elastomer)를 혼합한 2차 재료를 금형에 넣어 외골격 장치를 제작하였다. 이 장치는 CB 함량이 0.030 wt.% 이상일 때, 터치 기능이 있는 것으로 확인되었으며 탄성중합체의 함량을 변화시켜 사람이 스마트 디바이스를 터치할 때와 유사한 마찰력(마찰계수 2.5)를 가질 수 있도록 하였다. 실험을 통하여 CB의 함유량은 마찰 계수에 주는 영향이 거의 없음을 확인하였다. 완성된 시제품을 스마트 디바이스에 테스트한 결과, 개발된 외골격 장치는 보호 장구를 착용하여 터치가 불가능한 경우 또는 감염병 확산을 막기 위해 장갑 등의 장비를 사용하는 경우에 유용하게 활용할 수 있음을 확인하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.406-409
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• 2022

최근 몇 년 동안, AI 시스템, 블록체인, VR/AR, 3D 프린팅, 로봇 공학, 나노 기술과 같은 기술의 발전은 바로 우리 눈앞에서 건강 관리의 미래를 재편하고 있습니다. 또한, 의료는 소비자의 요구에 초점을 맞춘 예방 중심의 의학으로 패러다임이 전환되었습니다. Covid-19와 같은 전염병의 확산으로 의료 및 치료 시설의 정의가 변경되어 병원의 물리적 환경을 재설계하고 사회적 거리 두기 요구사항을 해결하도록 통신 모델을 조정하고 가상 의료 솔루션을 구현하고 새로운 임상 프로토콜을 수립하기 위한 즉각적인 조치가 필요하게 되었습니다. 전통적으로 의료 시스템의 허브 역할을 해 온 병원은 이러한 환경에 맞서 스스로를 재정립하는 것을 추구하거나 강요당하고 있습니다. 미래의 건강관리는 질병을 치료하는 것뿐만 아니라 건강과 예방에 초점을 맞출 것으로 예상됩니다. 개인화된 진료에서는 장기적인 예방 전략, 원격 모니터링, 조기 진단 및 탐지가 매우 중요합니다. 이러한 현대 기술로 정의되는 스마트 헬스케어에 대한 관심이 높아짐에 따라, 본 연구는 스마트 헬스케어의 정의와 서비스 종류를 조사했습니다. 스마트 병원의 배경과 기술적 측면도 문헌 검토를 통해 탐구했습니다.

• Safety and Health at Work
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• 제12권4호
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• pp.530-535
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• 2021

Background: Despite the lack of official COVID-19 statistics, various workplaces and occupations have been at the center of COVID-19 outbreaks. We aimed to compare legal measures and governance established for managing COVID-19 infection risks at workplaces in nine Asia and Pacific countries and to recommend key administrative measures. Methods: We collected information on legal measures and governance from both general citizens and workers regarding infection risks such as COVID-19 from industrial hygiene professionals in nine countries (Indonesia, India, Japan, Malaysia, New Zealand, Republic of the Philippines, Republic of Korea, Taiwan, and Thailand) using a structured questionnaire. Results: A governmental body overseeing public health and welfare was in charge of containing the spread and occurrence of infectious diseases under an infectious disease control and prevention act or another special act, although the name of the pertinent organizations and legislation vary among countries. Unlike in the case of other traditional hazards, there have been no specific articles or clauses describing the means of mitigating virus risk in the workplace that are legally required of employers, making it difficult to define the responsibilities of the employer. Each country maintains own legal systems regarding access to the duration, administration, and financing of paid sick leave. Many workers may not have access to paid sick leave even if it is legally guaranteed.