|
KMID : 1023520220450040253
|
|
Korean Journal of Veterinary Service
2022 Volume.45 No. 4 p.253 ~ p.262
|
|
|
Bibliographic and network analysis of environmental impacts to animal contagious diseases
|
|
Oh Jee-Sun
Lee Sang-Joon
Lim Sang-Jin
Park Yung-Chul
Cho Ho-Seong
Oh Yeon-Su
|
|
|
Abstract
|
|
|
|
The applications of artificial intelligence (AI) can provide useful solutions to animal infectious diseases and their impact on humans. The advent of AI learning algorithms and recognition technologies is especially advantageous in applied studies, including the detection, analysis, impact assessment, simulation, and prediction of environmental impacts on malignant animal epidemics. To this end, this study specifically focused on environmental pollution and animal diseases. While the number of related studies is rapidly increasing, the research trends, evolution, and collaboration in this field are not yet well-established. We analyzed the bibliographic data of 1191 articles on AI applications to environmental pollution and animal diseases during the period of 2000~2019; these articles were collected from the Web of Science (WoS). The results revealed that PR China and the United States are the leaders in research production, impact, and collaboration. Finally, we provided research directions and practical implications for the incorporation of AI applications to address environmental impacts on animal diseases.
|
|
|
KEYWORD
|
|
|
Animal contagious diseases, Artificial intelligence, Bibliometric analysis, Environmental impact, Intellectual structur
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|
|