• Monthly Duck's Village
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• s.239
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• pp.6-12
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• 2023

경기도는 올해 4월 기준 전국 사육 대비 2% 정도 규모인 12농가 15만마리의 오리를 사육하고 있으며 주로 안성 지역에 사육이 집중돼 있다. 경기도의 오리 정책은 가축전염병 예방과 쾌적한 사육환경 조성을 중점으로 오리 바이러스간염 예방약품 지원, 방역선진형 농장 조성, CCTV 등 방역인프라 지원, 동절기 가금농가 사육제한 휴업보상, 축사시설현대화, 사료구매 지원, 가금 경쟁력 강화사업 등을 추진하고 있다. 경기도의 조류인플루엔자(AI) 방역상황을 점검해 보고 오리 방역정책을 중점적으로 살펴보자.

• Journal of agricultural medicine and community health
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• v.34 no.1
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• pp.58-66
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• 2009

Objectives: Active participation of poultry breeder in surveillance system of Avian Influenza (AI) is very important. Therefore this study was conducted to present basis data for active report of AI that is affected by media's coverage in poultry breeder. Methods: Subjects were 88 persons, 28 who were poultry breeder at epidemic area of AI and 60 who were general person at non-epidemic area. Data were collected by the trained investigator from Jul. 1 to Aug. 31, 2008. Respondents were interviewed by means of a structured questionnaire. Results: The third-person effect among perceptions of influence in media's report on the AI was higher in breeder (32.1%) than in non-breeder (10.0%). However, Confidence to media report on the AI was lower in breeder than in non-breeder. Intention to report of the AI was 71.4% in breeder respectively, was 90.0% in non-breeder. There was statistically significant lower in breeder than non-breeder. The cause of avoidance of report was 'economic damage' for 87.5%, which acocounted for the majority of cases. Confidence to media report on the AI were positively correlated with concern on the AI and perception on seriousness of the AI, but negatively correlated with the third-person effect. Conclusions: These results showed that intention to report of the AI of breeder was susceptible to influenced by the third person effect and confidence in media's report on the AI. Therefore we should give a special attention to increase active report of poultry breeder during epidemic period of AI which is consideration of reasonable strategy of media's coverage, including mind and emotion state of poultry breeder.

• Journal of Life Science
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• v.28 no.8
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• pp.962-968
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• 2018

Type A influenza virus is circulating in wild birds and can infect wide ranges of hosts such as humans, pigs, domestic birds, and other mammals. Many subtypes of avian influenza viruses are circulating in aquatic birds. Most avian influenza viruses found in aquatic birds are low pathogenic avian influenza viruses. Highly pathogenic avian influenza viruses have been found in waterfowls since 2005. It is known that H5 and H7 subtypes of avian influenza viruses can be mutated into highly pathogenic avian influenza viruses in domestic poultry. In this study, we isolated novel reassortant H7N7 avian influenza virus from the fecal materials of migratory birds in the Western part of South Korea in 2016, and analyzed the sequences of all its eight genes. The genetic analysis of our isolate, A/waterfowl/Korea/S017/2016 (H7N7) indicates that it was reassortant avian influenza virus containing genes of both avian influenza viruses of wild birds and domestic ducks. Phylogenetic analysis showed that our isolate belongs to Eurasian lineage of avian influenza virus. Since avian influenza viruses continue to evolve, and H7-subtype avian influenza virus can mutate into the highly pathogenic avian influenza viruses, which cause the great threat to humans and animals, we closely survey the infections in both wild birds, and domestic poultry, and mammals.

• Monthly Duck's Village
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• s.235
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• pp.28-31
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• 2023

가금농가들의 철저한 차단방역에도 불구하고 고병원성 조류인플루엔자(AI) 확산되고 있어 정부를 포함한 가금농가의 비상 상태가 지속되고 있다. 이번 고병원성 AI는 지난해보다 22일 빨리 발생했으며 주로 서해안 벨트 위주로 발생한 것과 달리 전남, 경기, 충북 등 전국에 거쳐 매우 빠른 속도로 확산되고 있어 예년보다 위험성이 높아졌다. 특히 오리농가가 많이 모여 있는 전남 지역에서 집중적으로 발생하고 있어 전국의 오리농가를 비롯한 오리업계의 근심이 커지고 있다. 1월 18일 기준 가금농장에서 총 63건의 고병원성 AI가 발생한 가운데 육용오리 25건, 종오리 8건으로 오리농장에서만 총 33건이 발생했다. 이처럼 고병원성 AI가 오리농가에서 집중적으로 발생하고 있는 이유는 양계보다 상대적으로 낙후된 사육시설 때문이라고 전문가들은 지적했다. 이에 한국오리협회에서는 시설현대화를 위해 정부에 지속적으로 요구하고 있지만 막대한 예산이 투입되기 때문에 쉽지만은 않은 상황이다. 정부에서는 우선적으로 2019년부터 가금과 양돈 대상으로 '방역인프라 설치 지원사업'을 통해 축산농가의 방역시설 개선 사업을 진행하고 있다. 지원대상과 지원항목 등 변경된 올해의 '방역인프라 설치 지원사업'에 대해 살펴봤다.

• Korean Journal of Poultry Science
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• v.50 no.1
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• pp.41-50
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• 2023

Over the last decade, avian influenza (AI) has been considered an emerging disease that would become the next pandemic, particularly in countries like South Korea, with continuous animal outbreaks. In this situation, risk assessment is highly needed to prevent and prepare for human infection with AI. Thus, we developed the risk assessment matrix for a high-risk area of human infection with AI in South Korea based on the notion that risk is the multiplication of hazards with vulnerability. This matrix consisted of highly pathogenic avian influenza (HPAI) in poultry farms and the number of poultry-associated production facilities assumed as hazards of avian influenza and vulnerability, respectively. The average number of HPAI in poultry farms at the 229-municipal level as the hazard axis of the matrix was predicted using a negative binomial regression with nationwide outbreaks data from 2003 to 2018. The two components of the matrix were classified into five groups using the K-means clustering algorithm and multiplied, consequently producing the area-specific risk level of human infection. As a result, Naju-si, Jeongeup-si, and Namwon-si were categorized as high-risk areas for human infection with AI. These findings would contribute to designing the policies for human infection to minimize socio-economic damages.

• Journal of the Korea Organic Resources Recycling Association
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• v.24 no.4
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• pp.49-57
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• 2016

In this study, a thermal hydrolysis technology was used to treat the poultry carcasses that were killed due to Avian Influenza (AI) occurrence, as well as to determine the possibility of fueling for the resultant products. Experimental results showed that the poultry carcasses were liquefied except for sand, and showed the optimum efficiency at $190^{\circ}C$ and operating time of 60 minutes. It has been shown that liquid products obtained after thermal hydrolysis has good conditions for fuel conversion since it had high carbon contents and calorific value, as well as low ash content. In addition, it was possible to operate the thermal hydrolysis facility by using only the waste heat generated in the combustion without injecting the auxiliary fuel, and the exhaust gas generated in the combustion has a small influence on the atmosphere.

• 사료
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• s.10
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• pp.53-59
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• 2004

미국의 광우병 및 아시아건역의 가금인플루엔자발생이 긍정적인 영향을 주어 2004년 양돈 산업은 근년에 보기 드문 호조를 보였다. 그러나 양돈 농가의 소득증가는 이에 미치지 못하였다는 것이 일반적 평가이며, 이에는 PMWS(이유후전신성소모성증후군)발생으로 인한 생산성 저하가 주원인으로 분석된다. 대한양돈협회주관으로 개최된 PMWS 세미나내용 중 프랑스 식품위생안전청 마텍(MADEC)박사의 발표내용을 요약 · 정리한 것이다.

• KOREAN POULTRY JOURNAL
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• v.53 no.7
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• pp.162-169
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• 2021

정부에서는 다음과 같이 가금농장(양계장) 방역관리요령을 발표하였다. 본 요령은 양계장에서 관련 법령에 따라 의무적으로 준수해야 할 방역·소독시설 기준 및 방역 준수사항을 포함해, 고병원성 조류인플루엔자 발생농장에서 확인된 방역 미흡사항을 토대로 마련한 권고사항도 포함되어 있다. 본고는 농가에서 참고가 될 부분을 발췌하여 소개코자 한다. 본 요령을 참고하여 농장별 상황에 맞게 적용하는 등 가축전염병 등 가축전염병 예방을 위한 방역 활동에 만전을 기해 주길 바란다.

• Korean Journal of Poultry Science
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• v.46 no.3
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• pp.173-183
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• 2019

Based on their virulence, the avian influenza viruses (AIVs) are classified into two pathotypes: low pathogenic avian influenza (LPAI) virus and highly pathogenic avian influenza (HPAI) virus. Among the 16 HA subtypes of AIV, only the H5 and H7 subtypes are classified as HPAI. Some AIVs, including H5 and H7 viruses, can infect humans directly. Six H7 subtype isolates from wild birds of the H7N7 (n=4) and H7N1 (n=2) subtypes were characterized in this study. Phylogenetic analysis showed that eight viral genes (HA, NA, PB2, PB1, PA, NP, M, and NS) of the H7 isolates clustered in the Eurasian lineage, the genetic diversity of which is indicated by its division into several sublineages. The Korean H7 isolates had two motifs, PEIPKGR and PELPKGR, at the HA cleavage site, which have been associated with LPAI viruses. Six H7 isolates encoded glutamine (Q) and glycine (G) at positions 226 (H3 numbering) and 228 of HA, suggesting avian-type receptor-binding specificity. None of the Korean H7 isolates had the amino acid substitutions E627K in PB2 and I368V in PB1, which are critical for efficient replication in human cells. The Korean H7 isolates showed no deletions in the NA stalk region and in NS. These results suggest that the Korean H7 isolates from wild birds are different from the H7N9 influenza viruses isolated in China in 2013, which are capable of infecting humans.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.2
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• pp.60-74
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• 2017

To facilitate prevention of highly pathogenic avian influenza (HPAI), a GIS is widely used for monitoring, investigating epidemics, managing HPAI-infected farms, and eradicating the disease. After the outbreak of foot-and-mouth disease in 2010 and 2011, the government of the Republic of Korea (ROK) established the GIS-based Korean Animal Health Integrated System (KAHIS) to avert livestock epidemics, including HPAI. However, the KAHIS is not sufficient for controlling HPAI outbreaks due to lack of responsibility in fieldwork, such as sterilization of HPAI-infected poultry farms and regions, control of infected animal movement, and implementation of an eradication strategy. An outbreak prediction model to support efficient HPAI control in the ROK is proposed here, constructed via analysis of HPAI outbreak patterns in the ROK. The results show that 82% of HPAI outbreaks occurred in Jeolla and Chungcheong Provinces. The density of poultry farms in these regions were $2.2{\pm}1.1/km^2$ and $4.2{\pm}5.6/km^2$, respectively. In addition, reared animal numbers ranged between 6,537 and 24,250 individuals in poultry farms located in HPAI outbreak regions. Following identification of poultry farms in HPAI outbreak regions, an HPAI outbreak prediction model was designed using factors such as the habitat range for migratory birds(HMB), freshwater system characteristics, and local road networks. Using these factors, poultry farms which reared 6,500-25,000 individuals were filtered and compared with number of farms actually affected by HPAI outbreaks in the ROK. The HPAI prediction model shows that 90.0% of the number of poultry farms and 54.8% of the locations of poultry farms overlapped between an actual HPAI outbreak poultry farms reported in 2014 and poultry farms estimated by HPAI outbreak prediction model in the present study. These results clearly show that the HPAI outbreak prediction model is applicable for estimating HPAI outbreak regions in ROK.