Literature DB >> 32216062

Clinical symptoms of African swine fever in domestic pig farms in the Republic of Korea, 2019.

Hachung Yoon1, Seong-Keun Hong1, Ilseob Lee1, Dae-Sung Yoo1, Chung-Sik Jung1, Eunesub Lee1, Sung-Hwan Wee1.   

Abstract

This study describes the clinical characteristics of the African swine fever (ASF) outbreaks in 14 domestic pig farms in the Republic of Korea. ASF outbreak was identified by farmers' notifications in 11 farms and by active surveillance in the remaining three. At the time of notification, farmers reported sudden death, abortion and anorexia in sows. Death was the primary symptom identified by farmers in fattener pigs. The number of animals exhibiting clinical symptoms did not exceed four heads at notification, and the number of asymptomatic virus positives was four heads per farm on average. As ASF virus was detected only in the same pig house (in a pen for fattener pigs) in each of 14 ASF outbreak farms, there has been no evidence of house-to-house viral spread within any of the ASF outbreak farms. This in turn supports our hypothesis that infection was successfully detected during its initial phase.
© 2020 Blackwell Verlag GmbH.

Entities:  

Keywords:  African swine fever; Korea; clinical symptoms; farm; notification

Year:  2020        PMID: 32216062     DOI: 10.1111/tbed.13552

Source DB:  PubMed          Journal:  Transbound Emerg Dis        ISSN: 1865-1674            Impact factor:   5.005


  7 in total

Review 1.  Control measures to African swine fever outbreak: active response in South Korea, preparation for the future, and cooperation.

Authors:  Yong Joo Kim; Bongkyun Park; Hae Eun Kang
Journal:  J Vet Sci       Date:  2021-01       Impact factor: 1.672

2.  Surveillance of ASF-infected pig farms from September to October 2019 in South Korea.

Authors:  Ki Hyun Cho; Hyun Joo Kim; Da Young Kim; Daesung Yoo; Jin Ju Nah; Yong Joo Kim; Hae Eun Kang
Journal:  J Vet Sci       Date:  2021-03       Impact factor: 1.672

3.  Modelling the Spatial Distribution of ASF-Positive Wild Boar Carcasses in South Korea Using 2019-2020 National Surveillance Data.

Authors:  Jun-Sik Lim; Timothée Vergne; Son-Il Pak; Eutteum Kim
Journal:  Animals (Basel)       Date:  2021-04-22       Impact factor: 2.752

4.  Object detection and tracking using a high-performance artificial intelligence-based 3D depth camera: towards early detection of African swine fever.

Authors:  Harry Wooseuk Ryu; Joo Ho Tai
Journal:  J Vet Sci       Date:  2022-01       Impact factor: 1.672

5.  Quantifying risk factors and potential geographic extent of African swine fever across the world.

Authors:  Dong Jiang; Tian Ma; Mengmeng Hao; Fangyu Ding; Kai Sun; Qian Wang; Tingting Kang; Di Wang; Shen Zhao; Meng Li; Xiaolan Xie; Peiwei Fan; Ze Meng; Shize Zhang; Yushu Qian; John Edwards; Shuai Chen; Yin Li
Journal:  PLoS One       Date:  2022-04-21       Impact factor: 3.752

6.  Development of a Cleaved Probe-Based Loop-Mediated Isothermal Amplification Assay for Rapid Detection of African Swine Fever Virus.

Authors:  Songqi Wang; Haiyan Shen; Qijie Lin; Jun Huang; Chunhong Zhang; Zhicheng Liu; Minhua Sun; Jianfeng Zhang; Ming Liao; Yugu Li; Jianmin Zhang
Journal:  Front Cell Infect Microbiol       Date:  2022-05-26       Impact factor: 6.073

7.  Arthropods as potential vectors of African swine fever virus outbreaks in pig farms in the Republic of Korea.

Authors:  Hachung Yoon; Seong-Keun Hong; Ilseob Lee; Deuk-Soo Choi; Jong-Ho Lee; Eunesub Lee; Sung-Hwan Wee
Journal:  Vet Med Sci       Date:  2021-06-04
  7 in total

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