• 한국항해항만학회지
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• 제45권4호
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• pp.194-203
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• 2021

코로나바이러스감염증-19(COVID-19) 발생이후 항만으로 입항하는 외국선박의 외국인 선원을 통해 지역감염이 확산되었다. 그러나 항만 인근에는 지역주민들의 반발로 임시생활시설 지정에 큰 어려움을 겪고 있다. 따라서 본 연구는 항만에서 외국인 선원을 통한 코로나 바이러스 감염확산 방지를 위해 항만구역 내에 외국인 선원을 위한 전용 부유식 임시생활시설을 계획하는 것이 목적이다. 부유식 임시생활시설 계획의 구체적인 내용으로 입지선정, 시설규모계획, 유닛시설계획, 유닛시설 조합계획을 제시하였다. 향후 항만구역 내 부유식 임시생활시설은 제1급감염병 확산방지에 활용될 수 있을 것으로 기대된다.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제30권2호
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• pp.15-22
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• 2024

Purpose: In general, cross-infection caused by bacteria occurs more in hospitals than in local communities. In most cases, infectious diseases spread through contact transmission (direct contact, indirect contact). This study tries to examine which places are most likely to detect infections bacteria and what materials should be used to effectively suppress the spread of infectious bacteria. Methods: Domestic and international literature have been reviewed to determine which bacteria are common and spread in which places. At the same time, antibacterial experiments for several finishing materials are performed to determine the survival period of bacteria for each material. The experiment is conducted mainly on antibiotic-resistant bacteria (MRSA, CRE, etc.) that have a high mortality rate and are very contagious. Results: MRSA has a high incidence in many hospital departments with surgery or immunocompromised patients, such as the elderly, organ transplant patients, and hemodialysis patients. There are experimental results that MRSA dies early in ceramics or silk wallpaper. CRE has a high incidence in hospital departments where there are many patients who are prone to bacteria entering the body directly, such as ventilator patients or critically ill patients with surgical wounds. There are experimental results that CRE dies early in silk wallpaper. In addition, bacteria die on the surface for a variety of reasons. Most MRSA and CRE develop in patients with impaired immunity or surgery, and rapidly die in copper or materials with antibacterial properties. Implications: If finishing materials surface with the ability to kill specific bacteria is used in the place where a large number of specific bacteria are detected, the spread of infectious diseases can be effectively controlled.

• Journal of Yeungnam Medical Science
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• 제37권4호
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• pp.286-295
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• 2020

Respiratory infections are very common and highly contagious. Respiratory infectious diseases affect not only the person infected but also the family members and the society. As medical sciences advance, several diseases have been conquered; however, the impact of novel infectious diseases on the society is enormous. As the clinical presentation of respiratory infections is similar regardless of the pathogen, the causative agent is not distinguishable by symptoms alone. Moreover, it is difficult to develop a cure because of the various viral mutations. Various respiratory infectious diseases ranging from influenza, which threaten the health of mankind globally, to the coronavirus disease 2019, which resulted in a pandemic, exist. Contrary to human expectations that development in health care and improvement in hygiene will conquer infectious diseases, humankind's health and social systems are threatened by novel infectious diseases. Owing to the development of transport and trading activity, the rate of spread of new infectious diseases is increasing. As respiratory infections can threaten the members of the global community at any time, investigations on preventing the transmission of these diseases as well as development of effective antivirals and vaccines are of utmost importance and require a worldwide effort.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.77-86
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• 2022

The destructive impact of contagious diseases outbreaks on all life facets necessitates developing effective solutions to control these diseases outbreaks. This research proposes an end-to-end, data-driven platform which consists of multiple modules that are working in harmony to achieve a concrete goal: early detection of contagious diseases outbreaks (i.e., epidemic diseases detection). Achieving that goal enables decision makers and people in power to act promptly, resulting in robust prevention management of contagious diseases. It must be clear that the goal of this proposed platform is not to predict or forecast the spread of contagious diseases, rather, its goal is to promptly detect contagious diseases outbreaks as they happen. The front end of the proposed platform is a web-based dashboard that visualizes diseases outbreaks in real-time on a real map. These outbreaks are detected via another component of the platform which utilizes data mining techniques and algorithms on gathered datasets. Those gathered datasets are managed by yet another component. Specifically, a mobile application will be the main source of data to the platform. Being a vital component of the platform, the datasets are managed by a DBMS that is specifically tailored for this platform. Preliminary results are presented to showcase the performance of a prototype of the proposed platform.

• 한국수의병리학회:학술대회논문집
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• 한국수의병리학회 2002년도 추계학술대회초록집
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• pp.21-37
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• 2002

Successful diagnosis of a disease in food-producing animals depends in many times on proper collection and handling of specimens, as well as careful clinical observation and evaluation of the diseased animals. During the period required to complete the appropriate laboratory tests, an awareness of the potential problems of disease spread to animals at risk and the available palliative treatments is essential. Because most microbial-induced diseases in herds or flocks cannot be effectively treated once the problem is established, management through prevention and control of the disease must be instituted to offer the maximum protection to animals at risk. Thus, the course of disease management for infectious diseases is oftentimes a difficult judgment decision. This paper presents a brief general guide to specimen collection and laboratory methods used for diagnosis of diseases in production animals. (omitted)

• International Journal of Industrial Entomology and Biomaterials
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• 제7권2호
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• pp.93-106
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• 2003

Soilborne diseases pose a serious problem for mulberry cultivation during nursery plantation and established gardens, which cause severe loss in revenue generation of mulberry growers as compared to foliar diseases. Various soilborne diseases affect mulberry. Among them, root knot and root rot affect the established plantation resulting in severe loss in leaf yield apart from deterioration in leaf quality, which is a pre-requisite in successful sericulture to get the good quality of cocoons. Besides, stem-canker, cutting rot, collar rot and die-back, affect the initial establishment and survivability of mulberry plantation in nursery. The problem is difficult to handle, due to the complex nature of the diseases and also involvement of various biotic and abiotic factors. This is compounded by the occurrence of disease complex (especially nematode ＋ soilborne pathogenic microbes) in established mulberry gardens, which facilitates quick spread of the disease and enhance the plant mortality, resulting substantial loss in leaf yield. Therefore, prevention and timely control measures need to be taken up to protect the mulberry plants from different soilborne plant pathogens. In this review article, symptomatology, epidemiology, disease cycle and control measures of soilborne diseases of mulberry are discussed.

• IMMUNE NETWORK
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• 제21권1호
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• pp.9.1-9.8
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• 2021

The most important characteristics of coronavirus disease 2019 (COVID-19) transmission that makes it difficult to control are 1) asymptomatic and presymptomatic transmission, 2) low incidence or lack of dominant systemic symptoms such as fever, 3) airborne transmission that may need a high infectious dose, and 4) super-spread events (SSEs). Patients with COVID-19 have high viral loads at symptom onset or even a few days prior to symptom onset, and most patients with COVID-19 have only mild respiratory symptoms or merely pauci-/null-symptoms. These characteristics of the virus enable it to easily spread to the community because most patients are unaware of their potential infectivity, and symptom-based control measures cannot prevent this type of transmission. Furthermore, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is also capable of airborne transmission in conditions such as aerosol-generating procedures, under-ventilated indoor spaces, and over-crowded areas. In this context, universal mask-wearing is important to prevent both outward and inward transmission until an adequate degree of herd immunity is achieved through vaccination. Lastly, the SSEs of SARS-CoV-2 transmission emphasize the importance of reducing contacts by limiting social gatherings. The above-mentioned transmission characteristics of SARS-CoV-2 have culminated in the failure of long-lasting quarantine measures, and indicate that only highly effective vaccines can keep the communities safe from this deadly, multifaceted virus.

• Journal of Microbiology and Biotechnology
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• 제24권3호
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• pp.421-426
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• 2014

To characterize the extended-spectrum beta-lactamases (ESBLs) in diarrheagenic Escherichia coli from Korea in 2008-2011, we screened seven enterotoxigenic E. coli (ETEC) and one enteroaggregative E. coli (EAEC) that produce ESBLs from a nationwide survey. All eight isolates produced CTX-M-type ESBLs, including CTX-M-12 (n = 4), CTX-M-14 (n = 2), and CTX-M-15 (n = 2). PCR-based replicon typing indicated that the $bla_{CTX-M-12}$ genes of four ETEC isolates were carried on a conjugative IncF plasmid, whereas the $bla_{CTX-M-14}$ of one EAEC was located on an IncK plasmid. This is the first report of the occurrence of $bla_{CTX-M}$ genes in clinical isolates of EAEC in Korea. The ESBL-producing isolates were shown to be different based on pulsed-field gel electrophoresis and multilocus sequence typing, whereas the four isolates with CTX-M-12 were clonally related. These observations raise an alarm for the spread of plasmid-mediated resistance to ESBL among diarrheagenic E. coli.

• 한국콘텐츠학회논문지
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• 제22권3호
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• pp.71-80
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• 2022

과거 양식장에서 어류 질병은 세균성이었던 반면 최근은 바이러스성 및 혼합된 형태가 되면서 어류 질병의 빈도가 높아졌다. 양식장이라는 밀폐된 공간에서 바이러성 질병은 확산속도가 높으므로 집단 폐사로 이어질 확률이 매우 높다. 집단 폐사를 방지하기 위해서는 어류 질병의 빠른 식별이 중요하다. 그러나 어류의 질병 진단은 고도의 전문지식이 필요하고 매번 어류의 상태를 눈으로 확인하기 어렵다. 질병의 확산을 막기 위해서는 병이든 어류의 자동식별 시스템이 필요하다. 본 논문에서는 딥러닝 기반의 넙치의 질병 식별 시스템의 성능을 높이기 위해서 기존 전처리 방법을 비교 실험한다. 대상 질병은 넙치에서 가장 빈번히 발생하는 3가지 질병 스쿠티카병, 비브리오증, 림포시스티스를 선정하였고 이미지 전처리 방법으로 RGB, HLS, HSV, LAB, LUV, XYZ, YCRCV를 사용하였다. 실험결과 일반적인 RGB를 사용하는 것보다 HLS가 가장 좋은 결과를 얻을 수 있었다. 간단한 방법으로 질병의 인식률을 향상해 어류 질병 식별 시스템을 고도화 할 수 있을 것으로 예상한다.

• 산업융합연구
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• 제21권1호
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• pp.175-185
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• 2023

최근 COVID-19와 같은 신종 바이러스 감염증이 확산하여 심각한 공중 보건 문제를 제기하고 있다. 특히 이러한 질병은 고령자에게 치명적으로 작용하여, 생명을 위협하고 심각한 사회적, 경제적 손실을 초래하였다. 이에 많은 산업분야에서 사물 인터넷(IoT) 및 인공 지능(AI)을 응용한 원격진료, 헬스케어, 질병예방 등의 애플리케이션이 소개되어 질병 감지, 모니터링 및 검역 성능을 향상하고 있다. 하지만 기존기술은 갑작스러운 전염병의 출현에 신속하고 통합적으로 적용되지 않기 때문에, 사회 속에 감염병이 대규모 감염 및 전국적 확산되는 것을 차단하지 못하였다. 따라서 본 논문에서는 바이러스 질병 정보 수집기를 통해 지역적 한계가 있는 다양한 감염 정보를 수집하고, AI 브로커를 통해 AI 분석 및 심각도 매칭을 수행하여 감염의 확산을 예측하고자 한다. 최종에는 질병관리본부를 통해 고령자에게 위험경보 발령, 확산 차단 문자 발송 및 감염지역 대피정보를 신속하게 제공한다. 현실적인 고령자 지원시스템은 감염자 발생지역 정보와 고령자의 위치정보를 비교하여 증강현실 기반의 스마트폰 애플리케이션으로 직관적인 위험지역(감염지역) 회피기능을 제공하고 감염지역 방문이 확인되면 자동으로 방역관리 서비스를 제공한다. 향후 제안시스템은 위치기반의 사용자 밀집도를 파악함으로써 갑작스런 인파 집중으로 인한 압사 사고를 사전에 예방하는 방법으로도 활용 가능할 것이다.