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Published on: August 2, 2011
Emerging and Re-Emerging Viral Infections in Poultry: Integrating Traditional and AI-Based Control Strategies
Asiya Mushtaq1, Maliha Gulzar2, Syedah Asma Andrabi3
1Department of Veterinary Microbiology, International Institute of Veterinary Education and Research, BahuAkbar Rohtak, Haryana, India. drasiyalone@gmail.com.
Artificial intelligence (AI) can enhance avian viral disease surveillance and management by improving early detection and integrating diverse data. Addressing AI implementation challenges is crucial for effective disease control in poultry production.
Area of Science:
- Veterinary Virology
- Epidemiology
- Artificial Intelligence in Animal Health
Background:
- Poultry production faces significant threats from avian viral diseases like avian influenza viruses (AIV) and Newcastle disease virus (NDV).
- Current control strategies (vaccination, biosecurity, diagnostics) are limited by delayed detection and poor data integration.
- Emerging viruses such as chicken anaemia virus (CAV), avian metapneumovirus (aMPV), adenoviruses, and astroviruses also impact poultry health.
Purpose of the Study:
- To critically review limitations of current avian viral disease control strategies.
- To evaluate the potential of artificial intelligence (AI) in enhancing poultry disease surveillance and management.
- To synthesize knowledge on viral epidemiology and AI applications for improved disease control.
Main Methods:
- Literature review synthesizing current knowledge on avian viral diseases and AI.
- Analysis of epidemiological drivers of key viral infections in poultry.
- Evaluation of AI-based tools for predictive surveillance, diagnostics, risk assessment, and vaccine development.
Main Results:
- AI-driven approaches can significantly improve early detection of avian viral diseases.
- AI enhances the integration and utilization of heterogeneous data from animal, environmental, and public health sectors.
- AI offers potential for improved outbreak risk assessment and vaccine development.
Conclusions:
- Integrating AI into a One Health framework can strengthen preparedness and response systems for avian viral diseases.
- AI-driven surveillance and diagnostics promise more effective control of persistent and emerging poultry viruses.
- Further research and addressing implementation challenges are necessary for successful AI deployment in disease diagnosis and management.
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