• Title/Summary/Keyword: wild hoofed animals

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Clinical sign and transmission of foot-and-mouth disease in deer, Review (사슴에서의 구제역 증상과 전파 가능성)

  • Park, Jong-Hyeon;Lee, Kwang-Nyeong;Kim, Su-Mi;Ko, Young-Joon;Lee, Hyang-Sim;Cho, In-Soo
    • Korean Journal of Veterinary Service
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    • v.33 no.2
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    • pp.97-103
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    • 2010
  • Foot-and-mouth disease (FMD) commonly infects cloven-hoofed livestock animals such as cattle, pig, sheep, and goat and its clinical signs are well-known. Besides livestock, FMD can be transmitted among cloven-hoofed animals in the wild. FMD mostly affects livestock animals in farms, but, wild animals are likely to play a pivotal role in spreading the disease due to their way of free living. In the case of deer, the clinical signs of FMD vary widely from subclinical to severe infections. Thus, in some deer species, it may be hard to verify clinical signs of FMD. A deer may carry the virus up to 11 weeks after exposure, shedding the virus during the period. However, deer is not considered as a typical host for persistent infection like buffalo, cattle or sheep. In Korea, small-scale livestock farms which have less than 10 animals make up 63.6% of the entire livestock farms. Considering raising environment in deer farms, it is assumed that the risk of virus excretion and consequent transmission of FMD among deers is relatively lower than other cloven-hoofed animals. However, Sika deer and Elk which are typical deer species in Korea would manifest mild to subclinical symptoms upon FMD infection. Therefore, laboratory testing is necessary to confirm FMD in these animals because of difficulty in verifying clinical signs and the risk of virus shedding during inapparent infection.

The influence of individual factors on the number of reindeer (Cervidae) in the Baikal region

  • Vashukevich, Yury Evgenjevich;Zhovtyuk, Pavel Ivanovich;Shvetsova, Svetlana Viktorovna;Bogdanov, Alexandr Sergeevich
    • Journal of Species Research
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    • v.3 no.1
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    • pp.35-38
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    • 2014
  • The article considers the influence of hunting (legitimate and uncontrolled) on the population of the Siberian roe deer, musk deer, elk, red and northern deer in Pribaikalje. The data on the forms and methods of hunting, the dynamics of the number of animals and the results of their production are given. For comparison, the acts of such a limiting factor as predators are specified. Reasons for the low number of wild ungulates are determined and main problems are formulated.

A study on the spread of the foot-and-mouth disease in Korea in 2010/2011 (2010/2011년도 한국 발생 구제역 확산에 관한 연구)

  • Hwang, Jihyun;Oh, Changhyuck
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.2
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    • pp.271-280
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    • 2014
  • Foot-and-mouth Disease (FMD) is a highly infectious and fatal viral livestock disease that affects cloven-hoofed animals domestic and wild and the FMD outbreak in Korea in 2010/2011 was a disastrous incident for the country and the economy. Thus, efforts at the national level are put to prevent foot-and-mouth disease and to reduce the damage in the case of outbreak. As one of these efforts, it is useful to study the spread of the disease by using probabilistic model. In fact, after the FMD epidemic in the UK occurred in 2001, many studies have been carried on the spread of the disease using a variety of stochastic models as an effort to prepare future outbreak of FMD. However, for the FMD outbreak in Korea occurred in 2010/2011, there are few study by utilizing probabilistic model. This paper assumes a stochastic spatial-temporal susceptible-infectious-removed (SIR) epidemic model for the 2010/2011 FMD outbreak to understand spread of the disease. Since data on infections of FMD disease during 2010/2011 outbreak of Aniaml and Plant Quarantine Agency and on the livestock farms from the nationwide census in 2011 of Statistics Korea do not have detail informations on address or missing values, we generate detail information on address by randomly allocating farms within corresponding Si/Gun area. The kernel function is estimated using the infection data and by using simulations, the susceptibility and transmission of the spatial-temporal stochastic SIR models are determined.