Data is the backbone of health resource allocation in epidemiology. Surveillance systems collect and analyze data on disease patterns, which helps in identifying priority areas. Advanced techniques like geospatial analysis can map disease hotspots, while predictive modeling can forecast future outbreaks. This data-driven approach ensures that resources are allocated efficiently and effectively.
