Abstract
Avian influenza virus (AIV) continues to pose serious risks to animal and public health. Understanding its spread requires integrating ecological, agricultural, and human information. Quantitative models provide a practical way to represent these interactions, evaluate multiple risk factors, and generate spatial insights that support early detection and control. In recent years, advances in data availability and computational methods have increased the use of these models for AIV risk assessment.
Funding Information
  • Canadian Poultry Research Council
  • Ministry of Agriculture, Food and Agribusiness

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