The epidemiological status of African swine fever in domestic swine herds in the Tavush Province region, Armenia

Markosyan, Tigran; Sargsyan, Kh.; Kharatyan, Satenik; Elbakyan, Hasmik; Hakobyan, Varduhi; Simonyan, L. A.; Voskanyan, H.; SHIRVANYAN, A.; STEPANYAN, T.; KHACHATRYAN, M.; KARAPETYAN, M.; Avagyan, Armen; W., W. R. MCVEY JR; Weller, Richard E.; Keen, James E.; Risatti, Guillermo R.

doi:10.20506/rst.38.3.3024

Cited by 2 publications

(1 citation statement)

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“…Chung Y et al found that diseases of the respiratory system in pigs under herd conditions are contagious and prone to herd disease [ 3 ]. In the case of African swine fever, for example, the most significant disease symptom after contracting the disease is coughing [ 4 ], so the vocal characteristics of pigs can directly respond to the respiratory system. Also sound is considered as a basis for judging the stress state of pigs [ 5 ], because sound is more accessible biological information characteristically, and collecting sound information can be done without close contact with pigs, reducing the possibility of triggering additional stress reactions in pigs [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Combined spectral and speech features for pig speech recognition

Zhou

Chen

et al. 2022

PLoS ONE

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The sound of the pig is one of its important signs, which can reflect various states such as hunger, pain or emotional state, and directly indicates the growth and health status of the pig. Existing speech recognition methods usually start with spectral features. The use of spectrograms to achieve classification of different speech sounds, while working well, may not be the best approach for solving such tasks with single-dimensional feature input. Based on the above assumptions, in order to more accurately grasp the situation of pigs and take timely measures to ensure the health status of pigs, this paper proposes a pig sound classification method based on the dual role of signal spectrum and speech. Spectrograms can visualize information about the characteristics of the sound under different time periods. The audio data are introduced, and the spectrogram features of the model input as well as the audio time-domain features are complemented with each other and passed into a pre-designed parallel network structure. The network model with the best results and the classifier were selected for combination. An accuracy of 93.39% was achieved on the pig speech classification task, while the AUC also reached 0.99163, demonstrating the superiority of the method. This study contributes to the direction of computer vision and acoustics by recognizing the sound of pigs. In addition, a total of 4,000 pig sound datasets in four categories are established in this paper to provide a research basis for later research scholars.

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Section: Introductionmentioning

confidence: 99%

Combined spectral and speech features for pig speech recognition

Zhou

Chen

et al. 2022

PLoS ONE

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African Swine Fever in Wild Boar in Europe—A Review

Sauter‐Louis

Conraths

Probst

et al. 2021

Viruses

110

114

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The introduction of genotype II African swine fever (ASF) virus, presumably from Africa into Georgia in 2007, and its continuous spread through Europe and Asia as a panzootic disease of suids, continues to have a huge socio-economic impact. ASF is characterized by hemorrhagic fever leading to a high case/fatality ratio in pigs. In Europe, wild boar are especially affected. This review summarizes the currently available knowledge on ASF in wild boar in Europe. The current ASF panzootic is characterized by self-sustaining cycles of infection in the wild boar population. Spill-over and spill-back events occur from wild boar to domestic pigs and vice versa. The social structure of wild boar populations and the spatial behavior of the animals, a variety of ASF virus (ASFV) transmission mechanisms and persistence in the environment complicate the modeling of the disease. Control measures focus on the detection and removal of wild boar carcasses, in which ASFV can remain infectious for months. Further measures include the reduction in wild boar density and the limitation of wild boar movements through fences. Using these measures, the Czech Republic and Belgium succeeded in eliminating ASF in their territories, while the disease spread in others. So far, no vaccine is available to protect wild boar or domestic pigs reliably against ASF.

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The epidemiological status of African swine fever in domestic swine herds in the Tavush Province region, Armenia

Cited by 2 publications

References 0 publications

Combined spectral and speech features for pig speech recognition

Combined spectral and speech features for pig speech recognition

African Swine Fever in Wild Boar in Europe—A Review

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