Cited 0 time in
Decadal analysis of livestock tuberculosis in Korea (2013~2022): Epidemiological patterns and trends
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Oh Yeonsu | - |
| dc.contributor.author | Tark Dongseob | - |
| dc.contributor.author | Ryoo Gwang-Seon | - |
| dc.contributor.author | Yoo Dae-Sung | - |
| dc.contributor.author | Kim Woo H. | - |
| dc.contributor.author | Kim Won-Il | - |
| dc.contributor.author | Park Choi-Kyu | - |
| dc.contributor.author | Kim Won-Keun | - |
| dc.contributor.author | Cho Ho-Seong | - |
| dc.date.accessioned | 2024-01-22T06:00:30Z | - |
| dc.date.available | 2024-01-22T06:00:30Z | - |
| dc.date.issued | 2023-12 | - |
| dc.identifier.issn | 1225-6552 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/69411 | - |
| dc.description.abstract | This study provides a comprehensive analysis of the epidemiological trends and challenges in managing tuberculosis (TB) in livestock in Korea from 2013 to 2022. Tuberculosis, caused by the Mycobacterium tuberculosis complex, is a significant zoonotic disease affecting cattle, deer, and other domesticated animals. Despite the initiation of a test-and-slaughter eradication policy in 1964, TB has continued to persist in Korean livestock, particularly in cattle and deer. This study used data from the Korea Animal Health Integrated System and provincial animal health laboratories to analyze TB incidence in various livestock including different cattle breeds and deer species. The results from 2013 to 2022 showed a peak in TB cases in 2019 with a subsequent decline by 2022. The study highlighted a significant incidence of TB in Korean native cattle and the need for amore inclusive approach towards TB testing and control in different cattle breeds. Additionally, the study underscored the importance of addressing TB in other animals such as goats, wildlife, and companion animals for a holistic approach to TB eradication in Korea. The findings suggest that while the test-and-slaughter strategy has been historically effective, there is a need for adaptation to the current challenges, and learning from successful eradiation stories on other countries like Australia. A collaborative effort involving an expanded surveillance system, active private sector participation, and robust government support essential for the efficient eradication of TB in livestock in Korea. | - |
| dc.format.extent | 10 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | 한국동물위생학회 | - |
| dc.title | Decadal analysis of livestock tuberculosis in Korea (2013~2022): Epidemiological patterns and trends | - |
| dc.title.alternative | Decadal analysis of livestock tuberculosis in Korea (2013~2022): Epidemiological patterns and trends | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.7853/kjvs.2023.46.4.293 | - |
| dc.identifier.bibliographicCitation | 한국가축위생학회지, v.46, no.4, pp 293 - 302 | - |
| dc.citation.title | 한국가축위생학회지 | - |
| dc.citation.volume | 46 | - |
| dc.citation.number | 4 | - |
| dc.citation.startPage | 293 | - |
| dc.citation.endPage | 302 | - |
| dc.identifier.kciid | ART003026934 | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Bovine tuberculosis (BTB) | - |
| dc.subject.keywordAuthor | Mycobacterium tuberculosis complex (MTBC) | - |
| dc.subject.keywordAuthor | Cattle | - |
| dc.subject.keywordAuthor | Deer | - |
| dc.subject.keywordAuthor | Goat | - |
| dc.subject.keywordAuthor | Prevalence | - |
| dc.subject.keywordAuthor | Tuberculosis | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
