• Title/Summary/Keyword: Animal infectious disease

Search Result 196, Processing Time 0.024 seconds

Survey on antibody against bovine herpesvirus 1 (BoHV-1) in cattle in Korea

  • Choi, Eun-Jin;Song, Seungmin;Oem, Jae-Ku;Oh, Yooni;Kim, Eun-Ju;Song, Jae-Young
    • Korean Journal of Veterinary Service
    • /
    • v.37 no.2
    • /
    • pp.97-100
    • /
    • 2014
  • This study was performed in Korea to get serological information for bovine herpesvirus 1 (BoHV-1), most commonly found in cattle. Antibodies against BoHV-1 were examined by targeting infectious bovine rhinotracheitis (IBR) in unvaccinated and vaccinated cattle, using viral neutralization (VN) test. In 2013, among 261 sera collected from IBR-unvaccinated herds, 7 sera (2.7%) were found seropositive and their VN titers were ranging from 1:4 to 1:32. Among 315 sera collected from IBR-vaccinated herds in large capacity farms, 303 sera (96.2%) were found to be seropositive for BoHV-1 and their VN titers were in the range of 1:4 to 1:2048. It was found that the IBR-vaccinated herds had higher levels of VN titer than IBR-unvaccinated herds. The results indicated that it may be due to heavy vaccination in vaccinated herds and no or a little infection in unvaccinated herds. At the end of the study it was concluded that although the seropositivity in IBR-unvaccinated herds was low, the monitoring of IBR should be continuously practiced to control and prevent the disease because of exportation of living cattle causing its nationwide outbreaks.

Animal Infectious Diseases Prevention through Big Data and Deep Learning (빅데이터와 딥러닝을 활용한 동물 감염병 확산 차단)

  • Kim, Sung Hyun;Choi, Joon Ki;Kim, Jae Seok;Jang, Ah Reum;Lee, Jae Ho;Cha, Kyung Jin;Lee, Sang Won
    • Journal of Intelligence and Information Systems
    • /
    • v.24 no.4
    • /
    • pp.137-154
    • /
    • 2018
  • Animal infectious diseases, such as avian influenza and foot and mouth disease, occur almost every year and cause huge economic and social damage to the country. In order to prevent this, the anti-quarantine authorities have tried various human and material endeavors, but the infectious diseases have continued to occur. Avian influenza is known to be developed in 1878 and it rose as a national issue due to its high lethality. Food and mouth disease is considered as most critical animal infectious disease internationally. In a nation where this disease has not been spread, food and mouth disease is recognized as economic disease or political disease because it restricts international trade by making it complex to import processed and non-processed live stock, and also quarantine is costly. In a society where whole nation is connected by zone of life, there is no way to prevent the spread of infectious disease fully. Hence, there is a need to be aware of occurrence of the disease and to take action before it is distributed. Epidemiological investigation on definite diagnosis target is implemented and measures are taken to prevent the spread of disease according to the investigation results, simultaneously with the confirmation of both human infectious disease and animal infectious disease. The foundation of epidemiological investigation is figuring out to where one has been, and whom he or she has met. In a data perspective, this can be defined as an action taken to predict the cause of disease outbreak, outbreak location, and future infection, by collecting and analyzing geographic data and relation data. Recently, an attempt has been made to develop a prediction model of infectious disease by using Big Data and deep learning technology, but there is no active research on model building studies and case reports. KT and the Ministry of Science and ICT have been carrying out big data projects since 2014 as part of national R &D projects to analyze and predict the route of livestock related vehicles. To prevent animal infectious diseases, the researchers first developed a prediction model based on a regression analysis using vehicle movement data. After that, more accurate prediction model was constructed using machine learning algorithms such as Logistic Regression, Lasso, Support Vector Machine and Random Forest. In particular, the prediction model for 2017 added the risk of diffusion to the facilities, and the performance of the model was improved by considering the hyper-parameters of the modeling in various ways. Confusion Matrix and ROC Curve show that the model constructed in 2017 is superior to the machine learning model. The difference between the2016 model and the 2017 model is that visiting information on facilities such as feed factory and slaughter house, and information on bird livestock, which was limited to chicken and duck but now expanded to goose and quail, has been used for analysis in the later model. In addition, an explanation of the results was added to help the authorities in making decisions and to establish a basis for persuading stakeholders in 2017. This study reports an animal infectious disease prevention system which is constructed on the basis of hazardous vehicle movement, farm and environment Big Data. The significance of this study is that it describes the evolution process of the prediction model using Big Data which is used in the field and the model is expected to be more complete if the form of viruses is put into consideration. This will contribute to data utilization and analysis model development in related field. In addition, we expect that the system constructed in this study will provide more preventive and effective prevention.

A Study on Mathematical Model of Caprine Arthritis Encephalitis (CAE) and Development of Animal Quarantine Information System Adapted for Small Island

  • Hirata, Teppei;Yonahara, Yoshihito;Asharif, Faramarz;Omatsu, Tsutomu;Miyagi, Takeshi;Nagata, Yasunori;Mizutani, Tetsuya;Tamaki, Shiro
    • IEIE Transactions on Smart Processing and Computing
    • /
    • v.2 no.5
    • /
    • pp.302-309
    • /
    • 2013
  • This paper proposes a mathematical model of Caprine arthritis encephalitis (CAE), which is a disease causing significant economic damage to the goat farming industry, and reports the application of this model to the development of an information management system of animal quarantine to overcome this disease. The mathematical model of CAE was derived from the AIDs model in human case because epidemical characteristics of these diseases including infection pass are similar. This model can be expressed by simultaneous differential equations. Simulations using a new model were performed according Euler's and Runge-Kutta method using numerical analysis software. In each method, strong convergence was observed and the results were similar. The design of an information management system of animal quarantine was proposed as an application of the new model. System design was constructed on the assumption that in subtropical islands, the expected development of information infrastructure and utilization will become valuable in the future.

  • PDF

Incidence and sero-surveillance of feline viruses in Korean cats residing in Gyeonggi-do

  • Yang, Dong-Kun;Park, Yu-Ri;Kim, Eun-ju;Lee, Hye Jeong;Shin, Kyu-Sik;Kim, Ju-Hun;Lee, Kyunghyun;Hyun, Bang-Hun
    • Korean Journal of Veterinary Research
    • /
    • v.62 no.3
    • /
    • pp.24.1-24.7
    • /
    • 2022
  • Incidences of major feline viral diseases provide basic information for preventing viral disease in cats. Despite the growing interest in feline viral diseases, sero-surveillances have been lacking. In this study, we analyzed the diagnoses of feline viral diseases and conducted a sero surveillance of feline panleukopenia virus (FPV), feline calicivirus (FCV), feline herpesvirus-1 (FHV-1), and feline infectious peritonitis virus (FIPV) in Korean cats. Of the 204 confirmed cases since 2015, the numbers of diagnoses for FPV, FIPV, FCV, feline influenza virus, and FHV-1 were 156, 32, 12, 3, and 1 case, respectively. In total, 200 sera, collected between 2019 and 2021, were screened for the presence of antibodies against FPV, 2 FCVs, FHV-1, and FIPV using a hemagglutination inhibition test and a virus-neutralizing assay (VNA). The overall seropositive rates in cats tested for FPV, the 2 FCVs, FHV-1, and FIPV were 92.5%. 42.0%, 37.0%, 52.0%, and 14.0%, respectively. A low correlation (r = 0.466) was detected between the VNA titers of 2 FCV strains. The highest incidence and seropositive rate of FPV reveal that FPV is circulating in Korean cats. The low r-value between 2 FCVs suggests that a new feline vaccine containing the 2 kinds of FCVs is required.

A survey of canine infectious diseases in stray dogs in Gyeonggi Province, Korea (경기지역 유기견의 주요 전염성 질병 실태 조사)

  • Ko, Jae-Hyung;Park, Mi-Young;Shin, Byung-Hoon;Nam, Young-Hee;Ku, Kyung-Nyer;Son, Ju-Ill
    • Korean Journal of Veterinary Service
    • /
    • v.43 no.4
    • /
    • pp.217-225
    • /
    • 2020
  • This study was conducted to survey pathogens of canine coronavirus (CCV), canine distemper virus (CDV), canine influenza virus (CIV), canine parvovirus (CPV), severe fever with thrombocytopenia syndrome virus (SFTSV), Dirofilaria (D.) immitis, Giardia and antibodies against Anaplasma (A.) phagocytophilum, Borrelia (B.) burgdorferi, Brucella (B.) canis and Ehrlichia (E.) canis among stray dogs in Gyeonggi province. We collected 271 feces, 291 bloods, 311 nasal and ocular swab samples from 311 of dogs in the Gyeonggi province assistance dogs sharing center from January to December, 2019. Among canine infectious disease pathogens, Giardia was highly detected in 46/271 (17.0%) samples. Subsequently, CCV 10.3% (28/271), D. immitis 8.2% (24/291), CPV 4.1% (11/271), CDV 1.0% (3/311), A. phagocytophilum (antibody) 0.3% (1/291), E. canis (antibody) 0.3% (1/291) were detected. Based on the results, this study is expected to provide a useful reference for disease control and management of stray dogs.

Reclassification of an legal communicable disease (가축전염병 분류의 새로운 개편)

  • Park, Jae-Myoung;Lee, Jong-Jin;Kwak, Hak-Koo
    • Korean Journal of Veterinary Service
    • /
    • v.30 no.3
    • /
    • pp.473-480
    • /
    • 2007
  • The legal communicable diseases are classified two group, 62 diseases in the existing domestic animal Infectious disease prevention Act. There is problem that standards of administrative measure are unjustly suspected when infectious disease outbreaks between two groups, Therefore, A reclassification of many diseases should be diversified, the standards of administrative measure at the infectious diseases outbreak should be desired. Also, It suggest that central government should mandate local government to be able to assign legally designated disease about specific endemic diseases.

Control measures to African swine fever outbreak: active response in South Korea, preparation for the future, and cooperation

  • Kim, Yong-Joo;Park, Bongkyun;Kang, Hae-Eun
    • Journal of Veterinary Science
    • /
    • v.22 no.1
    • /
    • pp.13.1-13.14
    • /
    • 2021
  • African swine fever (ASF) is one of the most complex infectious swine diseases and the greatest concern to the pig industry owing to its high mortality and no effective vaccines available to prevent the disease. Since the first outbreak of ASF in pig farms, ASF has been identified in 14 pig farms in four cities/counties in South Korea. The outbreak was resolved in a short period because of the immediate control measures and cooperative efforts. This paper reviews the ASF outbreak and the experience of successfully stopping ASF in pig farms in South Korea through active responses to prevent the spread of ASF. In addition, suitable changes to build a sustainable pig production system and collaborative efforts to overcome the dangerous animal disease, such as ASF, are discussed.

Validation of method for chemical treatment of pig carcasses for the control of livestock infectious diseases (가축 전염병 관리를 위한 돼지 사체의 화학적 처리 방법)

  • Oh, Yeonsu;Yoon, Suk Hoon;Tark, Dong-Seob;Cho, Ho-Seong
    • Korean Journal of Veterinary Service
    • /
    • v.44 no.4
    • /
    • pp.283-290
    • /
    • 2021
  • This is a study on the improvement of the chemical treatment method of the livestock carcass treatment newly introduced in the livestock infectious disease prevention method in order to improve the problems of the existing burial-centered carcass treatment method when a livestock infectious disease occurs. It was conducted to establish detailed treatment standards for the chemical treatment method of pig carcasses based on the results of proof of the absence of infectious diseases in pigs. After inoculating pig carcasses with 10 pathogens (6 viruses [FMDV, ASFV, CSFV, PCV2, PRRSV, PEDV] and 4 bacteria [Lawsonia intracellularis, Clostridium perfringens type C, E. coli, Salmonella Typhimurium]) It was treated at 90℃ for 5 hours in a potassium hydroxide (KOH) liquid solution corresponding to 15% of the body weight. This method liquefies all cadaveric components and inactivates all inoculated pathogens. Based on these results, it was possible to prove that chemical treatment of pig carcasses is effective in killing pathogens and is a safe method without the risk of disease transmission. Although there are problems to be solved in the processing and operation of the chemical treatment products of livestock carcasses, the chemical treatment method of livestock carcasses can be suggested as an alternative to the current domestic burial-centered livestock carcass treatment method, preventing environmental pollution, and contributing to public health.

Hematological and microbial analysis on a Holstein heifer with infectious bovine keratoconjunctivitis

  • Ha, Seungmin;Hur, Taiyoung;Kang, Seogjin;Jung, Younghun;Son, Junkyu;Kim, Donghyeon;Lee, Jihwan;Sung, Hyunhoon;Cho, Eunseok;Kim, Sangbeom
    • Korean Journal of Veterinary Service
    • /
    • v.43 no.4
    • /
    • pp.245-250
    • /
    • 2020
  • Infectious bovine keratoconjunctivitis (IBK) is the most common ocular disease in cattle, manifesting as corneal opacity, corneal ulcerations and potentially vision loss. The present report describes a 10-month-old Holstein Friesian heifer with IBK treated by systemic tulathromycin, and subconjunctival injection of penicillin and dexamethasone. We investigated changes in the hematological indices and microorganisms related to IBK after treatment. Neutrophils and monocytes decreased during recovery, so it was assumed that these two types of white cells are associated with IBK. Moraxella bovoculi was cleared in the eye, nasal cavity, and oral cavity after treatment. The distribution of M. bovoculi before treatment indicated that a combined systemic and subconjunctival treatment was necessary. The lesioned eye was found to be overwhelmed by Mycoplasma bovoculi, while pathogen abundance was reduced in the nasal cavity and oral cavities. These results suggest that antibiotic treatment can alter the composition and relative abundance of microorganisms.

Experimental In Vivo Models of Bacterial Shiga Toxin-Associated Hemolytic Uremic Syndrome

  • Jeong, Yu-Jin;Park, Sung-Kyun;Yoon, Sung-Jin;Park, Young-Jun;Lee, Moo-Seung
    • Journal of Microbiology and Biotechnology
    • /
    • v.28 no.9
    • /
    • pp.1413-1425
    • /
    • 2018
  • Shiga toxins (Stxs) are the main virulence factors expressed by the pathogenic Stx-producing bacteria, namely, Shigella dysenteriae serotype 1 and certain Escherichia coli strains. These bacteria cause widespread outbreaks of bloody diarrhea (hemorrhagic colitis) that in severe cases can progress to life-threatening systemic complications, including hemolytic uremic syndrome (HUS) characterized by the acute onset of microangiopathic hemolytic anemia and kidney dysfunction. Shiga toxicosis has a distinct pathogenesis and animal models of Stx-associated HUS have allowed us to investigate this. Since these models will also be useful for developing effective countermeasures to Stx-associated HUS, it is important to have clinically relevant animal models of this disease. Multiple studies over the last few decades have shown that mice injected with purified Stxs develop some of the pathophysiological features seen in HUS patients infected with the Stx-producing bacteria. These features are also efficiently recapitulated in a non-human primate model (baboons). In addition, rats, calves, chicks, piglets, and rabbits have been used as models to study symptoms of HUS that are characteristic of each animal. These models have been very useful for testing hypotheses about how Stx induces HUS and its neurological sequelae. In this review, we describe in detail the current knowledge about the most well-studied in vivo models of Stx-induced HUS; namely, those in mice, piglets, non-human primates, and rabbits. The aim of this review is to show how each human clinical outcome-mimicking animal model can serve as an experimental tool to promote our understanding of Stx-induced pathogenesis.