A Multi-Sectoral Approach to Zoonotic Disease Surveillance: Classification and Monitoring Across Animal Categories

Zoonotic diseases are communicable diseases that are transmited between animals and humans-has significant public health concerns, agricultural concerns, and wildlife conservation implications. This essay proposes a new taxonomy system of differentiating zoonotic disease according to first animal reservoirs of the disease-to allow appropriate targeted intervention and surveillance actions. It emphasizes major diseases like Brucellosis, Salmonellosis, and Tuberculosis from animals, and Rabies, Avian Influenza, and Lyme Disease from wildlife, as well as the emerging threat of antimicrobial resistance and the impact of agricultural activities, habitat encroachment, and climate change on disease patterns. The report underlines the value of integrating next-generation technologies like AI, machine learning, and genomic analysis in surveillance systems along with more effective policies for biosecurity and data sharing. The report concludes by emphasizing the need for continued multi-sectoral engagement and future studies to address the complex interrelation between zoonotic diseases, antimicrobial resistance, and the environment with a view to increasing global public health resilience.