• 제목/요약/키워드: Highly Pathogenic Avian Influenza(HPAI)

검색결과 43건 처리시간 0.022초

2014-2016 국내 발생 고병원성조류인플루엔자(HPAI)의 사회연결망(Social Network) 유형 분석 (Social Network Type Analysis of Highly Pathogenic Avian Influenza(HPAI) Outbreaks in South Korea, 2014-2016)

  • 배선학;정해용;엄치호
    • 한국지리정보학회지
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    • 제19권3호
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    • pp.114-126
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    • 2016
  • 국내의 HPAI 전파 요인으로는 철새, 농가의 축주, 축산 차량 등이 있으며, 특히 HPAI 발생 후 급속한 전파의 원인이 되는 원거리 전파는 축산차량에 의한 것으로 확인되었다. 본 연구에서는 2014년 발생한 HPAI(H5N8)의 원거리 전파요인인 축산차량 이동정보를 지리정보시스템(GIS)과 연계하여 연구 대상지를 선정 후 차량의 농가 방문빈도 및 목적분석, 사회연결망 유형 분석을 수행하였으며, 도출된 유형을 통해 전국의 HPAI 발생농가의 분포 특성을 알아보았다. 또한 분석에서 도출된 결과를 통해 기존의 방역 및 살처분 범위 설정을 선행연구와의 차별화된 상황에 따라 유동적이며 탄력적인 차량 정보를 이용한 살처분 범위 설정을 제시하려 한다. 분석 결과 사회연결망 유형은 '지역 집중형, '지역 확산형, '광역 집중형, '광역 확산형, '전국 확산형의 5가지 유형이 도출 되었다. 도출된 유형은 다소 제한적인 유형 분석으로 볼 수 있으나, 전국의 타 발생 농가에 비추어 크게 벗어나지 않는 유형으로 설명될 수 있다. 또한, 위의 유형 분석은 추후 HPAI 방역 범위설정에 있어서 차량정보를 이용한 유동적 방역범위 설정 시, 담당자의 의사결정에 도움을 줄 것으로 기대된다.

전북지역의 가축전염병 중 우결핵 부루셀라 및 고병원성조류인플루엔자 발생 동향 분석: 2004~2008년 (Prevalence of infectious diseases (tuberculoss, brucellosis and the highly pathogenic avian influenza) of animals from 2004 to 2008 in Jeonbuk province, Korea)

  • 허부홍;이정원;송희종
    • 한국동물위생학회지
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    • 제33권4호
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    • pp.327-334
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    • 2010
  • The prevalence of major zoonotic diseases such as tuberculosis, brucellosis and the highly pathogenic avian influenza (HPAI) in Jeonbuk province was monitored from 2004 to 2008. For tuberculosis, a total of 306 heads from 92 farms were positive during the surveillance period, which 228 heads were from 78 dairy farms and 78 heads from 14 Hanwoo farms. Based on the number of recurrent tuberculosis in 92 positive farms, 28 farms or 43.8% of the positive farms had 1-4 additional outbreaks during the surveillance. Based on brucellosis surveillance of 5,252 dairy cattle and 2,600,829 Hanwoo conducted during the same time period, 4,818 heads from 1,203 farms were positive for brucellosis, which 445 heads were from 111 dairy farms and 4,373 heads from 1,092 Hanwoo farms. Among the 1,203 positive farms, 473 farms or 39.3% of the positive farms had experienced 1-4 recurrent brucellosis during the surveillance. According to nationwide surveillance of HPAI, a total of 45 cases had been reported between 2004 and 2008. Among those outbreaks, 20 cases were reported in Jeonbuk province and 3 cases in 2006 and 17 case in 2008. For the regional distribution of 20 cases in Jeonbuk, 4 cases (48,490 chickens), 4 cases (23,066 chickens 66(1) and ducks 23,000(3)), 11 cases (183,077 chickens 63,077 (10) and quails 120,000 (1)), and 1 case (9,000 ducks) were reported in Iksan, Jeongeup, Gimje and Sunchang, respectively.

지리정보시스템 기반의 고병원성 조류인플루엔자 발생 위험지도 구축 (A GIS-Based Mapping to Identify Locations at Risk for Highly Pathogenic Avian Influenza Virus Outbreak in Korea)

  • 이경주;박선일
    • 한국임상수의학회지
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    • 제34권2호
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    • pp.146-151
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    • 2017
  • Six major outbreaks of highly pathogenic avian influenza (HPAI) occurred from 2003 to 2016 in Korea. Epidemiological investigations of each outbreak revealed that migratory birds were the primary source of the HPAI virus. During the last five years, the geographic transmission pattern of domestic HPAI seems to have extended from local to nationwide; therefore, it is necessary to identify specific locations in which poultry farms are at elevated risk for HPAI outbreak to enable targeted surveillance and other mitigation strategies. Here, a geographical information system (GIS)-based analysis was used to identify geographic areas at high risk for future HPAI incidents in Korea based on historical outbreak data collected between December 2003 and April 2016. To accomplish this, seven criteria were used to identify areas at high-risk for HPAI occurrence. The first three criteria were based on defined spatial criteria buffering of 200 bird migration sites to some defined extents and the historical incidence of HPAI outbreaks at the buffering sites. The remaining criteria were based on combined attribute information such as number of birds or farms at district levels. Based on the criteria established for this study, the most-likely areas at higher risk for HPAI outbreak were located in Chungcheong, Jeolla, Gyeonggi, and Gyeongnam provinces, which are densely populated poultry regions considered major poultry-production areas that are located along bird migration sites. The proportion of areas at risk for HPAI occurrence ranged from 4.5% to 64.9%. For the worst criteria, all nine provinces, including Jeju Island, were found to be at risk of HPAI. The results of this study indicate that the number of poultry farms at risk for HPAI outbreaks is largely underestimated by current regulatory risk assessment procedures conducted for biosecurity authorization. The HPAI risk map generated in this study will enable easy use of information by policy makers to identify surveillance zones and employ targeted surveillance to reduce the impact of HPAI transmission.

종 분포 모형을 이용한 국내 고병원성 조류인플루엔자 발생 위험지역 추정 (Application of Species Distribution Model for Predicting Areas at Risk of Highly Pathogenic Avian Influenza in the Republic of Korea)

  • 김으뜸;박선일
    • 한국임상수의학회지
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    • 제36권1호
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    • pp.23-29
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    • 2019
  • While research findings suggest that the highly pathogenic avian influenza (HPAI) is the leading cause of economic loss in Korean poultry industry with an estimated cumulative impact of $909 million since 2003, identifying the environmental and anthropogenic risk factors involved remains a challenge. The objective of this study was to identify areas at high risk for potential HPAI outbreaks according to the likelihood of HPAI virus detection in wild birds. This study integrates spatial information regarding HPAI surveillance with relevant demographic and environmental factors collected between 2003 and 2018. The Maximum Entropy (Maxent) species distribution modeling with presence-only data was used to model the spatial risk of HPAI virus. We used historical data on HPAI occurrence in wild birds during the period 2003-2018, collected by the National Quarantine Inspection Agency of Korea. The database contains a total of 1,065 HPAI cases (farms) tied to 168 unique locations for wild birds. Among the environmental variables, the most effective predictors of the potential distribution of HPAI in wild birds were (in order of importance) altitude, number of HPAI outbreaks at farm-level, daily amount of manure processed and number of wild birds migrated into Korea. The area under the receiver operating characteristic curve for the 10 Maxent replicate runs of the model with twelve variables was 0.855 with a standard deviation of 0.012 which indicates that the model performance was excellent. Results revealed that geographic area at risk of HPAI is heterogeneously distributed throughout the country with higher likelihood in the west and coastal areas. The results may help biosecurity authority to design risk-based surveillance and implementation of control interventions optimized for the areas at highest risk of HPAI outbreak potentials.

조류인플루엔자 재난대응훈련 시뮬레이션 기술연구 (A Study on the Simulation and Analysis of the Emergency Response Training for Highly Pathogenic Avian Influenza)

  • 강민식
    • 한국전자통신학회논문지
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    • 제14권1호
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    • pp.19-26
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    • 2019
  • 전 세계적으로 가상현실(VR)의 이슈화를 따라 많은 분야에서 가상현실(VR) 기술을 접목하여 새로운 콘텐츠를 개발하고 있다. 가상현실은 가상의 공간에서도 인간이 가진 감각을 그대로 인지할 수 있도록 해주는 기술이며, 이는 현실적인 공간의 제약을 받지 않고 가상의 공간에서 사용자가 직접 체험 할 수 있다는 점에서 차세대 기술로 주목 받고 있다. 가상현실기술은 게임, 의학, 교육 등 다양한 분야에서 활용되고 있으며 특히 가상현실을 활용한 시뮬레이션이 주목받고 있다. 가상현실을 활용한 시뮬레이션도 운동, 교육, 재난 모의 훈련 등 다양한 분야에서 응용되고 활용되고 있지만 바이러스 전염에 의한 질병에 관한 연구는 미미한 실정이다. 본 연구에서는 조류인플루엔자 재난 대응 훈련 시뮬레이션에 대한 기술검토 및 분석연구를 진행하였다. 우리나라에서 해마다 발생하고 있는 조류인플로엔자는 매년 되풀이되지만, 정작 막아줄 수 있는 해결책이나 예방법은 아직 부족한 실정이다. 조류인플루엔자는 사회적으로 큰 파장을 일으키고 경제적으로 막대한 피해를 가져올 수 있다. 조류인플루엔자나 구제역과 같은 가축전염병은 농가에 미치는 피해 범위가 크기 때문에 사전 예방이 중요하다. 따라서 본 연구에서는 제시하는 조류인플루엔자 재난 대응 시뮬레이션을 통해 예방 할 수 있는 콘텐츠를 제시하고 분석하였다.

국내.외 조류인플루엔자(HPAI) 발생현황과 대응방안 (The outbreaks and counterplan of highly pathogenic avian influenza in Korea and overseas)

  • 장형관
    • 한국환경농학회:학술대회논문집
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    • 한국환경농학회 2009년도 정기총회 및 국제심포지엄
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    • pp.220-227
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    • 2009
  • For last about 10 years, the Republic of Korea experienced 3 times of outbreaks of highly pathogenic avian influenza (HPAI) from 10 December 2003 to 30 April 2004 (a total number of 19 outbreaks), 22 November 2006 to 6 March 2007 (a total number of 7 outbreaks), and 1 April 2008 to 12 May 2008 (a total number of 33 outbreaks). Among the totally 59 outbreaks, the infected premises included 35 chicken farms, 17 duck farms, 1 quail farm, and 6 farms rearing mixed species. Control measures were applied according to the HPAI standard operation procedure including depopulation of all infected and suspected flocks, movement restrictions, and disinfection of the infected farms within a 500-meter radius. Including movement restrictions, stringent control measures were additionally applied to two designated zones: the protection zone was an area within a 3-kilometer radius of the outbreak farm, and the surveillance zone was an area between a 3- to 10-kilometer radius of the outbreak farm. Farms with dangerous contacts and/or all of poultry within the protection zone was subjected to preemptive culling. Epidemiological investigations were also carried out including trace-back and trace-forward investigations to identify possible sources of spread and dangerous contact farms. Investigation teams conducted on-site examination of farm premises and facilities, interview with farm owner and staff, and review of records. Genetic and pathogenic characteristics of the virus isolates, and the results of the various surveillance activities were also analyzed. HPAI surveillance conducted in Korea includes passive surveillance of investigating notified cases, and active surveillance of testing high risk groups and areas. HPAI is a notifiable disease in Korea and all suspect cases must be reported to the veterinary authorities. Cases reported for other poultry diseases that require differential diagnosis are also tested for HPAI. Active surveillance includes annual testing of breeder duck farms, broiler duck farms and wild bird surveillance, which is concentrated during the autumn and winter. Surveillance activities conducted prior to the outbreaks have shown no evidence of HPAI infection in Korea.

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CDR 자료를 이용한 고병원성 조류인플루엔자 분석 (The Analysis of HPAI Using CDR Data)

  • 최대우;주재윤;송유한;한예지
    • 한국빅데이터학회지
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    • 제4권2호
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    • pp.13-22
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    • 2019
  • 이 연구는 2018년도 정부(농림축산식품부)의 재원으로 농림식품기술기획평가원 지원을 받아 수행된 연구이다. 고병원성 조류인플루엔자의 유입은 해외로부터 철새를 통해 유입되고 있으나 어떤 경로를 통해 감염 원인을 농장에 제공하는지 정확히 밝혀진 바 없다. 그리고 발생 농장으로부터 농장 간의 전이도 차량이 주 원인이라고 추정할 뿐, 전파 주 원인이 정확히 밝혀진 것은 아니다. 본 논문 연구에서는 KT가 제공하는 CDR(Call Detailed Record) 데이터를 기반으로, 발생후보지로 추정되는 철새도래지를 방문한 사람이 어떤 경로를 거쳐 감염 농장으로 유입이 되는지 해당 시기의 인구 흐름을 보려고 한다.

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Impact of inland waters on highly pathogenic avian influenza outbreaks in neighboring poultry farms in South Korea

  • Ahmad, Saleem;Koh, Kyeyoung;Yoo, Daesung;Suh, Gukhyun;Lee, Jaeil;Lee, Chang-Min
    • Journal of Veterinary Science
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    • 제23권3호
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    • pp.36.1-36.14
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    • 2022
  • Background: Since 2003, the H5 highly pathogenic avian influenza (HPAI) subtype has caused massive economic losses in the poultry industry in South Korea. The role of inland water bodies in avian influenza (AI) outbreaks has not been investigated. Identifying water bodies that facilitate risk pathways leading to the incursion of the HPAI virus (HPAIV) into poultry farms is essential for implementing specific precautionary measures to prevent viral transmission. Objectives: This matched case-control study (1:4) examined whether inland waters were associated with a higher risk of AI outbreaks in the neighboring poultry farms. Methods: Rivers, irrigation canals, lakes, and ponds were considered inland water bodies. The cases and controls were chosen based on the matching criteria. The nearest possible farms located within a radius of 3 km of the case farms were chosen as the control farms. The poultry farms were selected randomly, and two HPAI epidemics (H5N8 [2014-2016] and H5N6 [2016-2017]) were studied. Conditional logistic regression analysis was applied. Results: Statistical analysis revealed that inland waters near poultry farms were significant risk factors for AI outbreaks. The study speculated that freely wandering wild waterfowl and small animals contaminate areas surrounding poultry farms. Conclusions: Pet birds and animals raised alongside poultry birds on farm premises may wander easily to nearby waters, potentially increasing the risk of AI infection in poultry farms. Mechanical transmission of the AI virus occurs when poultry farm workers or visitors come into contact with infected water bodies or their surroundings. To prevent AI outbreaks in the future, poultry farms should adopt strict precautions to avoid contact with nearby water bodies and their surroundings.

고병원성 가금인플루엔자의 최근 발생동향과 질병 특성 (Current Status and Characteristics of Highly Pathogenic Avian Influenza)

  • 김재홍;성환우;권용국;이윤정;최준구;조성준;김민철;이은경;장환;위성환;모인필;송창선;박종명
    • 한국가금학회지
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    • 제31권2호
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    • pp.119-128
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    • 2004
  • Highly Pathogenic Avian Influenza (HPAI) is a very acute systemic disease in poultry, particularly in chickens and turkeys caused by HPAI viruses. An outbreak of HPAI caused by subtype H5N1, was first reported in a broiler breeder farm on December 10, 2003 in Korea, although there had been twenty one outbreaks of the disease reported in the world before. Since mid-December 2003, eight Asian countries have confirmed outbreaks of HPAI due to the same subtype. The outbreak has also resulted in at least twenty three fatal human cases in Vietnam and Thailand as of May 17, 2004 according to the WHO. Regarding the first outbreak of recent Asian HPAI, it has been suspected that some Asian countries with the exception of Korea and Japan veiled the fact of HPAI outbreaks since the last half of 2003, even though it was first reported in Korea. There have been total nineteen outbreaks of HPAI among chicken and duck farms in 10 provinces in Korea since Dec. 2003 and approximately 5,280,000 birds were slaughtered from 392 farms for eradication of the disease and preemptive culling. The origin of the H5Nl HPAI virus introduced into the country are unknown and still under epidemiological investigation. Current status of outbreaks and characteristics of HPAI will be reviewed and discussed on the basis of genetic, virological, clinicopathological, and ecological aspect, as well as future measures for surveillance and prevention of the disease in Korea.

GIS 공간분석 기술을 이용한 국내 고병원성 조류인플루엔자 발생 고위험지역 분류 (A GIS-Based Spatial Analysis for Enhancing Classification of the Vulnerable Geographical Region of Highly Pathogenic Avian Influenza Outbreak in Korea)

  • 박선일;정원화;이광녕
    • 한국임상수의학회지
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    • 제36권1호
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    • pp.15-22
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    • 2019
  • Highly pathogenic avian influenza (HPAI) is among the top infectious disease priorities in Korea and the leading cause of economic loss in relevant poultry industry. An understanding of the spatial epidemiology of HPAI outbreak is essential in assessing and managing the risk of the infection. Though previous studies have reported the majority of outbreaks occurred clustered in what are preferred to as densely populated poultry regions, especially in southwest coast of Korea, little is known about the spatial distribution of risk areas vulnerable to HPAI occurrence based on geographic information system (GIS). The main aim of the present study was to develop a GIS-based risk index model for defining potential high-risk areas of HPAI outbreaks and to explore spatial distribution in relative risk index for each 252 Si-Gun-Gu (administrative unit) in Korea. The risk index was derived incorporating seven GIS database associated with risk factors of HPAI in a standardized five-score scale. Scale 1 and 5 for each database represent the lowest and the highest risk of HPAI respectively. Our model showed that Jeollabuk-do, Chungcheongnam-do, Jeollanam-do and Chungcheongbuk-do regions will have the highest relative risk from HPAI. Areas with risk index value over 4.0 were Naju, Jeongeup, Anseong, Cheonan, Kochang, Iksan, Kyeongju and Kimje, indicating that Korea is at risk of HPAI introduction. Management and control of HPAI becomes difficult once the virus are established in domestic poultry populations; therefore, early detection and development of nationwide monitoring system through targeted surveillance of high-risk spots are priorities for preventing the future outbreaks.