Article

Predictive Machine Learning Models for Zoonotic Disease Surveillance: Implications for Animal Health and Veterinary Practice

2025-09-09

Abstract excerpt

Zoonotic diseases represent approximately 60-70% of new infectious diseases globally, resulting in yearly economic losses surpassing USD 120 billion from trade limitations, livestock deaths, and decreased productivity. Conventional veterinary surveillance systems, depending on manual reporting and lagging diagnostics, frequently identify outbreaks 10-14 days post-emergence, causing swift pathogen transmission. Thi...

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Literature Corpus work: 54140eb4-8890-575e-8c11-cc0bbd8be64f
DOI: 10.20944/preprints202509.0658.v1

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