A One Health-Based Framework for Zoonotic Disease Surveillance Using Veterinary Clinical Data: A 9-Year Retrospective Study and Real-Time System Implementation
Year: 2026
Type: preprint
Abstract: Zoonotic diseases account for approximately 60% of all known human infectious diseases and nearly 75% of emerging infectious diseases. This study addresses a critical surveillance gap through two complementary approaches: a longitudinal analysis of 10,934 veterinary vaccination records (2017–2025) and the design and implementation of the One Health Zoonotic Disease Intelligence System (OHZDIS v2.1). Linear regression analysis revealed a significant increase in total vaccination counts (β=117.1 cases/year, R²=0.75, p=0.002), with a two-sample t-test comparing pre-pandemic (2017–2019) and post-pandemic (2022–2025) annual means confirming a significant difference (t=−3.55, p=0.016). The analysis identifies the COVID-19 pandemic period as a candidate behavioral inflection point: post-pandemic vaccination rates sustained a 76.4% increase over pre-pandemic levels (1,533 vs. 869 cases/year). Species-level disparities in rabies vaccination rates between dogs (11.5%) and cats (6.8%) were statistically significant (χ²=40.26, p<0.001). 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, publicly accessible at https://guardian-watch.onrender.com/. The system represents one of the few publicly accessible operational surveillance architectures integrating human, animal, and environmental One Health domains in a unified near-real-time analytical pipeline.
Author: BAE, JAE SEOK
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7155174904
Cites:
Cited by:
Related to: