HYBRID EVENT: You can participate in person at Singapore or Virtually from your home or work.

4th Edition of

International Public Health Conference

March 24-26, 2025 | Singapore

IPHC 2025

Leveraging genAI and applied calculus for communicable disease control: Possible approaches for public health surveillance system in India

Speaker at International Public Health Conference 2025 - GV Fant
JSPH International, United States
Title : Leveraging genAI and applied calculus for communicable disease control: Possible approaches for public health surveillance system in India

Abstract:

Effectively managing a public health communicable disease surveillance system is a critical activity for safeguarding the public health of a population. This presentation focuses on equipping public health epidemiologists and decision-makers with the tools to understand disease dynamics to guide control efforts in the context of a public health surveillance system. Public health communicable disease control efforts will be discussed. Tailored to India's public health needs, the session explores how applied calculus and Generative AI/GenAI tools can enhance public health surveillance data practices. The session will highlight the use of first-order differential equations from applied calculus, specifically the SIR (Susceptible-Infectious-Recovered) model, to predict the spread of communicable diseases and inform timely interventions. Emphasizing the role of first-order differential equations, the presentation will demonstrate how these models support public health professionals management through real-time data analysis, geospatial mapping, and predictive modeling. Generative AI (GenAI) will be highlighted as a crucial tool for enhancing data interpretation and forecasting disease patterns. Participants will be introduced to sample GenAI prompts for assessing typical data from public health disease surveillance systems. This session emphasizes practical strategies to optimize public health response, consider mathematical models and leverage AI tools to enhance public health communicable disease surveillance systems in India.

Audience Take Away:

  • Key insights into how first-order differential equations model communicable disease spread
  • The role of GenAI in improving disease surveillance systems and guiding public health action
  • Factsheet on nonlinear first-order differential equations used in public health disease surveillance systems
  • Introduction to sample GenAI prompts for use with public health disease surveillance system

Biography:

Dr GV Fant is a public health epidemiologist. He is the Secretary (part-time) at JSPH International that specializes in global health advocacy and public health professional-academic training in Boston, India, and around the world. Dr. Fant completed his PhD at the University of Nebraska (1997); Master of Science in Health Sciences: Public Health at Trident University International (2009), and higher doctorate, DSc-Health Sciences: Epidemiology at Azteca University (2023). Additionally, he has over 50 publications and professional writings in the health sciences, epidemiology, and global public health. Dr. Fant is an elected Member of the American College of Epidemiology (MACE; 2002).

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