• Title/Summary/Keyword: highly pathogenic

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Generating GAN-based Virtual data to Prevent the Spread of Highly Pathogenic Avian Influenza(HPAI) (고위험성 조류인플루엔자(HPAI) 확산 방지를 위한 GAN 기반 가상 데이터 생성)

  • Choi, Dae-Woo;Han, Ye-Ji;Song, Yu-Han;Kang, Tae-Hun;Lee, Won-Been
    • The Journal of Bigdata
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    • v.5 no.2
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    • pp.69-76
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    • 2020
  • This study was conducted with the support of the Information and Communication Technology Promotion Center, funded by the government (Ministry of Science and ICT) in 2019. Highly pathogenic avian influenza (HPAI) is an acute infectious disease of birds caused by highly pathogenic avian influenza virus infection, causing serious damage to poultry such as chickens and ducks. High pathogenic avian influenza (HPAI) is caused by focusing on winter rather than year-round, and sometimes does not occur at all during a certain period of time. Due to these characteristics of HPAI, there is a problem that does not accumulate enough actual data. In this paper study, GAN network was utilized to generate actual similar data containing missing values and the process is introduced. The results of this study can be used to measure risk by generating realistic simulation data for certain times when HPAI did not occur.

Control and Prevention Strategies of Avian Influenza (조류독감 방제전략)

  • 송창선;권지선;이현정;이중복;박승용;최인수;이윤정;김재홍;모인필
    • Korean Journal of Poultry Science
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    • v.31 no.2
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    • pp.129-136
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    • 2004
  • Avian influenza viruses infect humans, horses, swine, other mammals, and a wide variety of domesticated and wild birds. Modem poultry industries worldwide are at risk of infection with avian influenza. Low pathogenic avian influenza can easily change to highly pathogenic form especially when introduced into areas of high density commercial poultry. Outbreaks of highly pathogenic avian influenza are becoming progressively more expensive to control according to the growth of the poultry industry worldwide. Future strategies for avian influenza control and prevention should involve a combination of early detection and characterization of virus using advanced molecular biologic techniques, quarantine, selective depopulation and vaccination of flocks.

Novel reassortants of clade 2.3.4.4 H5N6 highly pathogenic avian influenza viruses possessing genetic heterogeneity in South Korea in late 2017

  • Lee, Yu-Na;Cheon, Sun-Ha;Kye, Soo-Jeong;Lee, Eun-Kyoung;Sagong, Mingeun;Heo, Gyeong-Beom;Kang, Yong-Myung;Cho, Hyun-Kyu;Kim, Yong-Joo;Kang, Hyun-Mi;Lee, Myoung-Heon;Lee, Youn-Jeong
    • Journal of Veterinary Science
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    • v.19 no.6
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    • pp.850-854
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    • 2018
  • Novel H5N6 highly pathogenic avian influenza viruses (HPAIVs) were isolated from duck farms and migratory bird habitats in South Korea in November to December 2017. Genetic analysis demonstrated that at least two genotypes of H5N6 were generated through reassortment between clade 2.3.4.4 H5N8 HPAIVs and Eurasian low pathogenic avian influenza virus in migratory birds in late 2017, suggesting frequent reassortment of clade 2.3.4.4 H5 HPAIVs and highlighting the need for systematic surveillance in Eurasian breeding grounds.

Seed Transmission of Bipolaris coicis, B. cynodontis, B. maydis and Curvularia lunata causing Leaf Blight of Job's tears (율무에 잎마름 증상을 일으키는 Bipolaris coicis, B. cynodontis, B. maydis 및 Curvularis lunata의 종자전염)

  • Kim, Ji-Soo;Lee, Du-Hyung
    • Korean Journal Plant Pathology
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    • v.14 no.4
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    • pp.287-293
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    • 1998
  • Bipolaris coicis, B. cynodontis, B. maydis and Curvularia lunata were leaf blight fungi detected from 45 seed samples of Job's tears and B. coicis was the predominant species in seed samples followed by C. lunata, B. cynodontis and B. maydis. When the seed components were plated on test tube agar, B. coicis and C. lunata were highly detected from invelucre, glume, endosperm and stamen, but not detected from plumule. Seed infection with B. coicis casued seed rot, coleoptile blight and seedling blight of Job's tears. Conidial characteristics of leaf blight fungi were as follows; B. cynodontis was fusiform, brown, slightly curved, 0~5 distoseptate, and 16.8-48$\times$7.2-16.8${\mu}{\textrm}{m}$ in size; B. cynodontis was fusiform, brown, slightly curved, 0~8 distoseptate, and 16.8-72$\times$9.6-19.2 ${\mu}{\textrm}{m}$; B. maydis was fusiform, brown, distintly curved, 0~10 distoseptate, and 28.8-110.4$\times$12-21.6 ${\mu}{\textrm}{m}$. C. Lunata was fusiform, brown, typically curved, 0~3 distoseptate, and 7.2-24$\times$4.8-12 ${\mu}{\textrm}{m}$. B. coicis was highly pathogenic to Job's tears and corn, weakly pathogenic to rice, but not pathogenic to wheat and barley. c. lunata was highly pathogenic to Job's tears (No. 2), corn, wheat and barley, weakly pathogenic to Job's tears (No. 1), but not pathogenic to rice. All treatments were effective to inhibition of leaf blight fungi when carboram, benoram, fludioxonil, prochloraz, thioram, and tap water treated to infected seeds.

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Antiviral Effects of Titanium Dioxide Photocatalyst Treated Films against Highly Pathogenic Avian Influenza (고병원성 조류인플루엔자(H5N1)에 대한 이산화티타늄 광촉매 처리 필름의 항바이러스성 연구)

  • Lee, Sang-Do;Park, Hyun
    • Journal of the Korea Convergence Society
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    • v.12 no.4
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    • pp.201-206
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    • 2021
  • Damage to the highly pathogenic avian influenza virus(H5N1) continues to increase, but there is a lack of antiviral research. In this study, we analyze antiviral properties on H5N1 by coating Cu/TiO2 photocatalyst on polyethylene films. The specimen was manufactured a photocatalyst master batch and coated both sides of the 3-layer polyethylene fabric at 280℃ from the extrusion coating machine. The results showed a 99.9% decrease in the Staphylococcus aureus and Escherichia coli. In particular, H5N1 type highly pathogenic avian influenza viruses, which is capable of human infection, has been found to decrease 99.9% within five minutes of contact with Cu/TiO2 films. Antibacterial effects of films coated with photocatalyst are known, but this study also confirmed the antiviral effects.

Identification and classification of pathogenic Fusarium isolates from cultivated Korean cucurbit plants

  • Walftor Bin Dumin;You-Kyoung Han;Jong-Han Park;Yeoung-Seuk Bae;Chang-Gi Back
    • Korean Journal of Agricultural Science
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    • v.49 no.1
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    • pp.121-128
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    • 2022
  • Fusarium wilt disease caused by Fusarium species is a major problem affecting cultivated cucurbit plants worldwide. Fusarium species are well-known soil-borne pathogenic fungi that cause Fusarium wilt disease in several cucurbit plants. In this study, we aimed to identify and classify pathogenic Fusarium species from cultivated Korean cucurbit plants, specifically watermelon and cucumber. Thirty-six Fusarium isolates from different regions of Korea were obtained from the National Institute of Horticulture and Herbal Science Germplasm collection. Each isolate was morphologically and molecularly identified using an internal transcribed spacer of ribosomal DNA, elongation factor-1α, and the beta-tubulin gene marker sequence. Fusarium species that infect the cucurbit plant family could be divided into three groups: Fusarium oxysporum (F. oxysporum), Fusarium solani (F. solani), and Fusarium equiseti (F. equieti). Among the 36 isolates examined, six were non-pathogenic (F. equiseti: 15-127, F. oxysporum: 14-129, 17-557, 17-559, 18-369, F. solani: 12-155), whereas 30 isolates were pathogenic. Five of the F. solani isolates (11-117, 14-130, 17-554, 17-555, 17-556) were found to be highly pathogenic to both watermelon and cucumber plants, posing a great threat to cucurbit production in Korea. The identification of several isolates of F. equiseti and F. oxysporum, which are both highly pathogenic to bottle gourd, may indicate waning resistance to Fusarium species infection.

Occurrence of highly pathogenic avian influenza from domestic ducks in Jeonbuk province (전북지역 육용오리에서 고병원성 조류인플루엔자 발생 증례)

  • Chu, Keum-Suk;Kang, Mi-Seon;Cho, Bum-Jun;Lee, Jeong-Won
    • Korean Journal of Veterinary Service
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    • v.31 no.3
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    • pp.283-290
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    • 2008
  • Highly pathogenic avian influenza(HP AI) is one of the most important zoonoses in the around of world. That occurred in the domestic ducks of 34 olds day in Jeonbuk of Korea on April 2008. All of infected ducks were died. We could found several clinical signs such as facial swelling with cloudy eyes, conjunctivitis, and neurological sign. In the autopsy, moderate congestion in the kidney, multifocal hemorrhagic foci in pancreas, and mild swelling in brain were observed. Gliosis in brain and severe congestion in kidney were also shown in histopathological findings. Specific band for H5 antibody was detected in polymerase chain reaction (PCR).

Diseases Severity, Genetic Variation, and Pathogenicity of Ceratocystis Wilt on Lansium domesticum in South Sumatra, Indonesia

  • Muslim, Ahmad;Pratama, Rahmat;Suwandi, Suwandi;Hamidson, Harman
    • The Plant Pathology Journal
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    • v.38 no.2
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    • pp.131-145
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    • 2022
  • Ceratocystis wilt disease has caused significant mortality in duku (Lansium domesticum) since 2014 and has now spread to all districts in South Sumatra, Indonesia. Recently, 16 isolates from duku representing populations from various districts in South Sumatra were isolated. Analysis for the morphological characteristic of the isolate showed that the population has a uniform morphology. Genetic analysis based on internal transcribed spacer (ITS) and β-tubulin sequences verified that the population has being dominated by the ITS5 haplotype of Ceratocystis fimbriata and a new ITS group, the ITS7b haplotype that was localized in Musi Banyuasin. Both haplotypes were highly pathogenic to duku. Inoculation tests on various forest and agroforestry plant hosts showed that both haplotypes were highly pathogenic to Acacia mangium, moderately pathogenic to Acacia carsicarpa, Eucalyptus urophylla, and Melaleuca cajuputi, but weakly pathogenic to Dyera costulata, Hevea brasiliensis, and Alstonia scholaris. Therefore, this pathogen becomes a serious threat to Indonesia's biodiversity due to its ability to infect forest and agroforestry plants, especially the indigenous ones.

Prevent and Track the Spread of Highy Pathogenic Avian Influenza Virus using Big Data (빅데이터를 활용한 HPAI Virus 확산 예방 및 추적)

  • Choi, Dae-Woo;Lee, Won-Been;Song, Yu-Han;Kang, Tae-Hun;Han, Ye-Ji
    • The Journal of Bigdata
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    • v.5 no.2
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    • pp.145-153
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    • 2020
  • This study was conducted with funding from the government (Ministry of Agriculture, Food and Rural Affairs) in 2018 with support from the Agricultural, Food, and Rural Affairs Agency, 318069-03-HD040, and is based on artificial intelligence-based HPAI spread analysis and patterning. Highly Pathogenic Avian Influenza (HPAI) is coming from abroad through migratory birds, but it is not clear exactly how it spreads to farms. In addition, it is assumed that the main cause of the spread is the vehicle, but the main cause of the spread is not exactly known. However, it is necessary to analyze the relationship between the vehicles and the facilities at the farms where they occur, as the type of vehicles that visit the farms most frequently is between farms and facilities, such as livestock transportation and feed transportation. In this paper, based on the Korea Animal Health Integrated System (KAHIS) data provided by Animal and Plant Quarantine Agency, the main cause of HPAI virus transfer is to be confirmed between vehicles and facilities.