Public Health Surveillance & Global Research Collaborations

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Overview

This lecture is part of the 3rd Public Health Conference in 2025, offering healthcare professionals the opportunity to explore innovative AI solutions for managing chronic diseases, ultimately improving health outcomes and system efficiency. This year's theme emphasizes the role of artificial intelligence (AI) in addressing the challenges posed by chronic diseases, which significantly burden healthcare systems globally.

What I will learn?

  • •Define public health surveillance and explain the role of artificial intelligence in enhancing surveillance efforts.
    •Discuss how AI technologies can improve data collection, analysis, and interpretation in public health contexts.
    •Identify key applications of AI in public health surveillance, including outbreak detection, disease prediction, and epidemiological modeling.
    •Explore the importance of global research collaborations in public health and how AI facilitates these partnerships.
    •Discuss how AI-driven insights from public health surveillance can inform policy decisions and health interventions.
    •Evaluate the implications of AI findings for resource allocation and public health strategies.

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