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SYSTEMATIC REVIEW article
Front. Vet. Sci.
Sec. Veterinary Epidemiology and Economics
Volume 12 - 2025 | doi: 10.3389/fvets.2025.1525399
Prevalence of tuberculosis in bovines in Pakistan during 2000-2024: A systematic review and meta-analysis
Provisionally accepted
Siddique Sehrish 1 Xue-Tong Liu 1
Wen-Bo Lou 1 Shu-Ying Zhang 1*
Emad Ata 2
Guiyang Ge 1
Qi Wang 1
Fanli Zeng 1
Xue Leng 1
Kun Shi 1 Riaz-Muhammad Azeem 1
Qing-Long Gong 1
Yu-Hao Song 1*
Rui Du 1*- 1 Jilin Agriculture University, Changchun, China
- 2 department of Parasitology and Animal Diseases, Veterinary Research Institute, Department of Dairy Science, National Research Centre (Egypt), Giza, Beni Suef, Egypt
Background: Bovine tuberculosis (bTB) primarily caused by Mycobacterium bovis (M. bovis), is a globally prevalent zoonotic infectious disease of cattle and other livestock and wildlife species. Pakistan is the fourth-largest milk-producing country in the world, with approximately 212 million animals. Livestock farming provides a livelihood for almost 8 million families. Moreover, there is currently no effective control program and national data in place. Therefore, we constructed a first meta-analysis on the prevalence of bovine tuberculosis in Pakistan. This study aimed to provide an overview of bovine tuberculosis in this country and identify the risk factors associated with its prevalence.
Keywords: Pakistan, Prevalence, raw milk, bovine tuberculosis, zoonosis
Received: 09 Nov 2024; Accepted: 24 Mar 2025.
Copyright: © 2025 Sehrish, Liu, Lou, Zhang, Ata, Ge, Wang, Zeng, Leng, Shi, Azeem, Gong, Song and Du. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Shu-Ying Zhang, Jilin Agriculture University, Changchun, China
Yu-Hao Song, Jilin Agriculture University, Changchun, China
Rui Du, Jilin Agriculture University, Changchun, China
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