1. Better Data Collection: Enhancing data accuracy and completeness through advanced surveillance systems. 2. Refined Models: Developing more sophisticated models that account for various factors, such as social networks and environmental influences. 3. Collaboration: Encouraging collaboration between epidemiologists, data scientists, and policymakers to improve model development and application. 4. Validation: Continuously validating models against real-world data to ensure their reliability and accuracy.
