• Title/Summary/Keyword: 바이러스 전파

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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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Infection of Mycovirus in Imported Lentinula edodes (해외도입 표고버섯의 진균바이러스 감염)

  • Lee, Song Hee;Kwak, Seo-Young;Ko, Han Kyu;Lee, Hyun-Sook
    • The Korean Journal of Mycology
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    • v.42 no.1
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    • pp.64-68
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    • 2014
  • Up to date several mycoviruses including Lentinula edodes Spherical Virus (LeSV) have been reported. As fungal virus was spreaded by infested hypae and spores it could be important to use virus-free spawns to eradicate the mushroom virus disease in the culture farm. We tested the imported spawns of Lentinula edodes by PCR whether LeSV was infested them or not. The primer set targeting the RdRp gene of LeSV was prepared based on partial sequence of the LeSV genome. The RT-PCR analysis showed that 87 among 88 imported spawns of L. edodes were infested by LeSV.

A Study on Tools for Worm Virus & DDoS Detection (대규모 백본망의 웜 바이러스와 분산서비스거부공격 탐지시스템 연구)

  • Lee Myung-Sun;Lee Jae-Kwang
    • The KIPS Transactions:PartC
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    • v.11C no.7 s.96
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    • pp.993-998
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    • 2004
  • As Worm Virus & DDoS attack appeares, the targets and damage of infringement accidents are extending from specific system or services to paralysis of the network itself. These attacks are expending very frequently and strongly, and ISP who will be used as the path of these attacks will face serious damages. But compare to Worm Virus & DDoS attack that generally occures in many Systems at one time with it's fast propagation velocity, network dimensional opposition is slow and disable to deal with the whole appearance for it is operated manually by the network manager. Therefore, this treatise present devices how to detect Worm Virus & DDoS attack's outbreak and the attacker(attacker IP adderss) automatically.

A Study on the Genomic Patterns of SARS coronavirus using Bioinformtaics Techniques (바이오인포매틱스 기법을 활용한 SARS 코로나바이러스의 유전정보 연구)

  • Ahn, Insung;Jeong, Byeong-Jin;Son, Hyeon S.
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.522-526
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    • 2007
  • Since newly emerged disease, the Severe Acute Respiratory Syndrome (SARS), spread from Asia to North America and Europe rapidly in 2003, many researchers have tried to determine where the virus came from. In the phylogenetic point of view, SARS virus has been known to be one of the genus Coronavirus, but, the overall conservation of SARS virus sequence was not highly similar to that of known coronaviruses. The natural reservoirs of SARS-CoV are not clearly determined, yet. In the present study, the genomic sequences of SARS-CoV were analyzed by bioinformatics techniques such as multiple sequence alignment and phylogenetic analysis methods as well multivariate statistical analysis. All the calculating processes, including calculations of the relative synonymous codon usage (RSCU) and other genomic parameters using 30,305 coding sequences from the two genera, Coronavirus, and Lentivirus, and one family, Orthomyxoviridae, were performed on SMP cluster in KISTI, Supercomputing Center. As a result, SARS_CoV showed very similar RSCU patterns with feline coronavirus on the both axes of the correspondence analysis, and this result showed more agreeable results with serological results for SARS_CoV than that of phylogenetic result itself. In addition, SARS_CoV, human immunodeficiency virus, and influenza A virus commonly showed the very low RSCU differences among each synonymous codon group, and this low RSCU bias might provide some advantages for them to be transmitted from other species into human beings more successfully. Large-scale genomic analysis using bioinformatics techniques may be useful in genetic epidemiology field effectively.

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Mask detection in complex scenes using an ensemble of YOLO models (YOLO 모델 앙상블을 이용한 복잡한 장면에서의 Mask Detection 기법)

  • Hu, Xufeng;Lim, Hyunseok;Gwak, Jeonghwan
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.97-98
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    • 2022
  • 코로나바이러스-19 팬데믹 이후 매일 수만 명의 환자가 발생하고 있다. 보건당국은 사람들의 생활 안전을 보호하기 위해 공항, 정류장 등 공공장소에서는 반드시 마스크를 착용하라고 지시하고 있다. 마스크를 착용하는 목적은 감염으로부터 신체를 보호하고 바이러스 전파와 확산을 막기 위한 것이다. 공공장소에서는 많은 인원에 대한 일괄적인 마스크 착용 검사를 하기 어렵고, 육안으로 확인하는 마스크 착용 검사 방법은 인파가 몰리는 장소에서 검사 효율이 떨어지며 누락되는 경우도 많이 발생한다. 본 연구에서는 입력 이미지에 존재하는 얼굴 영역을 YOLOv4와 YOLOv5 모델을 통해 예측하여 마스크의 착용 여부를 판단하되, 앙상블 기법을 적용하여 보다 효과적인 BB(Bounding Box) 추출 및 마스크 착용 탐지 기법을 적용한다. 따라서 공공장소의 마스크 착용실태를 효과적으로 모니터링 할 수 있는 방법을 제안한다.

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The Relationship between Malicious Program and security (악성 프로그램과 보안과의 관계)

  • 신학주;김지홍;지준웅
    • Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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    • 2003.07a
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    • pp.223-226
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    • 2003
  • 정보화 사회에서 네트워크는 현실과 밀접한 관련이 있고 사람들이 많이 이용하는 네트워크에 있어서 알고는 있지만 잘 인지하지 못하고 있는 악성 코드 및 프로그램인 바이러스, 웜, 트로이목마에 대하여 설명하고 이들이 보안과 어떤 관계가 있는가에 대하여 알아본다. 본 논문에서는 이들의 공격 및 전파 방법을 알아보고 이를 통하여 해킹의 위험성이 존재함을 밝힌다.

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농업기술 - 가축 모기매개 질병을 사전에 예방하자!

  • Son, Dong-Su
    • 농업기술회보
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    • v.49 no.3
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    • pp.38-39
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    • 2012
  • 기후 온난화로 가축에서 질병을 전파시키는 모기가 5월부터 나타나 활동기간이 연장되면서 질병에 대한 면역력을 높이기 위해 4월부터 예방접종 등 사전방역대책이 필요하다. 모기가 매개하는 질병으로는 2010년 전북, 전남 및 경남지방에서 한우와 젖소가 일어나지 못하는 기립불능증 증상 등으로 많은 피해를 입은 소 유행열, 아까바네병, 아이노바이러스 감염증, 츄잔병과 이바라기병 등이 있고, 돼지에서 발생하는 일본뇌염이 있다.

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An Outbreak of Epidemic Keratoconjunctivitis by Adenovirus Type 8 in a Neonatal Intensive Care Unit (신생아 중환자실에서의 아데노바이러스 8형에 의한 유행성 각결막염의 발생)

  • Park, Na-Ri-Mi;Na, Ji-Youn;Joung, Kyoung-Eun;Lee, Ji-Na;Kim, Ee-Kyung;Kim, Han-Suk;Kim, Seong-Joon;Song, Jung-Suk;Oh, Hyang-Soon;Lee, Hoan-Jong;Choi, Jung-Hwan
    • Neonatal Medicine
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    • v.15 no.1
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    • pp.44-53
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    • 2008
  • Purpose : Epidemic keratoconjunctivitis (EKC) caused by adenovirus is a highly contagious disease, which has been reported as outbreaks involving adults in the community. However, there has been no report on EKC outbreak by adenovirus in a neonatal intensive care unit (NICU) in Korea. Aims of this study were to investigate the EKC outbreak by adenovirus type 8 in NICU and to confirm an effectiveness of polymerase chain reaction (PCR) for diagnosis. Methods : Conjunctival swab or nasopharyngeal aspirate specimens were taken from all patients and tested by viral culture and PCR. Adenovirus serotype was determined by sequencing of PCR product of selected region of hexon gene using the virus isolates or specimens. Results : An outbreak of EKC occurred which was involving 12 preterm infants in the NICU of the Seoul National University Children's Hospital between July 12th and August 1st, 2005. Three hospital staffs and one family member of the neonate were also affected. Adenovirus was detected in 12/12 (100%), 6/11 (54.5%) by PCR and virus culture, respectively. Eleven PCR-positive neonates were identified as serotype 8 by sequencing. The first affected 4 babies have had routine ROP (retinopathy of prematurity) examinations one week ago. While previous outbreaks were sustained for a few months, the event in our unit was controlled without complications in 3 weeks. Conclusion : We analyzed the EKC outbreak by adenovirus type 8 in NICU. Adenovirus serotype was identified by PCR and sequencing with high sensitivity for the first time in Korea, so we suggest this method can be very useful for rapid diagnosis and infection control.

Diagnostic Methods of Respiratory Virus Infections and Infection Control (호흡기 바이러스 감염의 진단법과 감염관리)

  • Park, Chang-Eun
    • Korean Journal of Clinical Laboratory Science
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    • v.53 no.1
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    • pp.11-18
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    • 2021
  • Respiratory viruses (RVs) cause infections in hospital environments through direct contact with infected visitors. In infection control, it causes major problems of acquired infections in hospitals by respiratory viruses. The surveillance data derived from clinical laboratories are often used to properly allocate medical resources to hospitals and communities for treatment, consumables, and diagnostic product purchases in the institutions and public health sectors that provide health care. An early diagnosis is essential in infection with respiratory viruses, and methods that can be used in diagnostic methods using respiratory samples include virus culture, molecular diagnosis, and analysis. A microchip provides a new strategy for developing a more diverse and powerful technology called point-of-care testing. The importance of the respiratory system should be applied strictly to the infection control guidelines to ensure the occupational health and safety of health care workers. Evidence of clinical efficacy, including this study, is challenging the long-standing paradigm for infection propagation. Additional assistance will be needed for frequent tests to detect respiratory viruses in inpatients who have begun to show new respiratory symptoms indicating infections requiring efforts to control the infection.

Epidemiology of Soybean Mosaic Virus Diseases (콩모자이크바이러스병의 역학적 연구)

  • Cho Eui-Kyoo;Choi S.H.;Hwang C.Y.
    • Korean journal of applied entomology
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    • v.23 no.4 s.61
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    • pp.197-202
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    • 1984
  • Two soybean cultivars Hanan and Kwanggyo were used to monitor SMV spread in the field. The Haman producing mosaic symptoms by infection with SMV strain G7 was planted in $2.2m^2$ at the coater of $320.7m^2$ field and Kwanggyo producing necrosis by infection with SMV-G7 was planted around the Haman one day after inoculation of Heman with SMV-G7. The most severe incidence of the necrotic disease in soybean cultivar Kwanggyo occurred on 43 days after planting(July 13) whereas aphid population reached peak around 22 days after planting(June 22). Total incidence of the necrotic disease was $20.4\%$, in the whole field and $56\%$, in eight $mall plots around the spreader of SMV. The spread of S MV outward from the spreader source was greater downwind than it was upwind. Spread also showed a signigicant gradieut pattern leeward from the infection focus.

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