University of Tabriz Journal of Zoonotic Diseases 2476-535X 2026 02 26 Bibliometric analysis of digitalized veterinary surveillance frameworks for zoonotic disease mitigation in resource-limited countries 21300 10.22034/jzd.2026.21300 EN Kunta Adnan Sahiman Department of Animal Science, Faculty of Animal Science, Universitas Brawijaya, Malang, Indonesia Siti Azizah Department of Animal Science, Faculty of Animal Science, Universitas Brawijaya, Malang, Indonesia Muhammad Halim Natsir Department of Animal Science, Faculty of Animal Science, Universitas Brawijaya, Malang, Indonesia Kuswati Kuswati Department of Animal Science, Faculty of Animal Science, Universitas Brawijaya, Malang, Indonesia Journal Article 2025 12 13 Digital veterinary surveillance constitutes a critical component of infrastructure for mitigating zoonotic disease transmission within the One Health framework adopted by developing economies. This bibliometric analysis examines global scholarly output on technology-enhanced livestock monitoring approaches targeting zoonotic threats in resource-limited settings. The study aimed to quantify publication impact and to identify evolutionary patterns and thematic structures within this research domain. Bibliographic records were retrieved from Scopus and analyzed using Biblioshiny (Bibliometrix v4.1.4) and VOSviewer (v1.6.18), incorporating metadata on authorship, institutional affiliations, keywords, and citation performance. The dataset comprised 473 publications spanning 1986–2024, predominantly research articles (66.6%) and reviews (24.3%), published primarily in English (96.8%). Contributions from 103 countries involved 2,156 authors, yielding a collaboration index of 4.56. The United States accounted for the largest share of publications (42.9%), followed by the United Kingdom (33.2%), Nigeria (18.2%), India (17.8%), and Kenya (17.1%). The corpus accumulated 15,418 citations (mean of 32.6 per document), corresponding to an overall h-index of 58 and a compound annual growth rate of 2.78%. Keyword co-occurrence analysis identified 44 consolidated descriptors forming seven thematic clusters. “Zoonosis” emerged as the most frequent term (73 occurrences), followed by “one health” (64), “surveillance” (52), and “epidemiology” (48). This study provides the first comprehensive bibliometric mapping of digital veterinary surveillance research focused on zoonotic disease prevention in developing contexts. Targeted investment in surveillance capacity within endemic regions may further strengthen global preparedness against zoonotic threats. https://jzd.tabrizu.ac.ir/article_21300_5aab2f788626f5e5baca450a680788b7.pdf