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September 27, 2025

Artificial Intelligence Based Models for Predicting Foodborne Pathogen Risk in Public Health Systems

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Authors

PSP K Sarkar

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Overview

Systematic review synthesizes AI methods for foodborne pathogen risk prediction in public health, highlighting actionable insights.

Key Points

  • AI models improve foodborne pathogen risk predictions, enhancing public health interventions and strategies.
  • 105 peer-reviewed studies analyzed reveal actionable insights across outbreak detection, risk mapping, and forecasting.
  • Systematic literature review methodology conforms to PRISMA guidelines, ensuring robust evidence synthesis and analysis.
  • Framework developed to convert statistical accuracy into sustainable public health outcomes, highlighting governance steps.

Cite This Study

P K Sarkar (2025) studied this question.

synapsesocial.com/papers/68d7be5eeebfec0fc523758chttps://doi.org/10.63125/7685ne21
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