Focal Interest
Focal Interest

Public health surveillance

  1. Big Data and Machine Learning Applications for Enhanced U.S. Infectious Disease Surveillance and Control: A Narrative Review
    Review synthesizes big data and machine learning integration in U.S. infectious disease surveillance, examining data sources and computational methods for detection, forecasting, and control.
  2. Data-driven tools strengthen public health disease control
    Explore how statistical methods and AI transform U.S. public health disease control through predictive analytics, resource optimization, and data integration while addressing privacy and.