Announcement of new article publication zoonotic disease journal. Zoonoses account for approximately 60% of all known human infectious diseases and nearly 75% of emerging infectious diseases. This article reports on two linked components that address this gap.
This retrospective observational study analyzed 10,934 veterinary vaccination records from a single clinic (Nara Animal Hospital, Dongducheon, South Korea) across three phases: pre-pandemic (2017-2019), pandemic (2020-2021), and post-pandemic (2022-2025). Poisson regression was used for temporal trend analysis and Pearson’s chi-square test with Yates (α=0.05) for species-level comparisons. All analyzes were performed in Python 3.x. Concurrently, the One Health Zoonotic Disease Intelligence System (OHZDIS) v2.1, a 43-module surveillance platform that integrates five official data streams (CDC, WHO, EPA, USDA, and disease.sh) across 171 zoonotic diseases, was designed and implemented.
Poisson regression revealed a significant increase in total vaccinations (IRR=1.103/year, 95% CI: 1.094-1.111, p<0.001), and a two-sample t-test showed a significant difference between pre-pandemic (2017-2019) and post-pandemic (2022-2025) annual averages (t=-3.55, p=0.016, mean difference: 664 vaccinations/year, 95% CI: 92-1,235). Post-pandemic vaccination rates increased by 76.4% compared to pre-pandemic levels (1,533 vs. 869 vaccinations/year). This is a temporary association, coinciding with the duration of the COVID-19 pandemic. However, the single-clinic design cannot rule out long-term trends, such as increases in regional pet ownership, clinic expansion, or reversion to the mean after the 2020 supply disruption, as equally plausible explanations (Section 4.4). A statistically significant species-level difference (χ2=39.56, p<0.001) in rabies vaccination coverage between dogs (11.4%) and cats (6.7%) highlighted the influence of regulatory frameworks on zoonotic disease prevention. OHZDIS integrates five authoritative data streams (CDC EID, WHO Disease Outbreak News, EPA ATTAINS, USDA Data.gov, and disease.sh) across 171 zoonotic diseases and all 50 U.S. states and five territories and is publicly accessible at https://guardian-watch.onrender.com/.
This system provides a publicly accessible proof-of-concept monitoring prototype that integrates human, animal, and environmental One Health domains into a unified, near real-time analysis pipeline. Formal future performance validation of existing surveillance systems is the next priority for immediate research before making operational claims.
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Reference magazines:
Bae, JS (2026) One Health-based framework for zoonotic disease surveillance using veterinary clinical data: 9-year retrospective study and real-time system implementation. Zoonotic diseases. DOI: 10.15212/ZOONOSES-2026-0046. https://www.scienceopen.com/hosted-document?doi=10.15212/ZOONOSES-2026-0046
