The future of prediction in epidemiology looks promising with advancements in technology and data science. Emerging areas include:
- Big Data Analytics: Leveraging large-scale datasets from diverse sources for more accurate predictions. - Artificial Intelligence: AI can enhance model precision and uncover new patterns in disease spread. - Real-Time Monitoring: IoT devices and mobile health applications provide real-time data for dynamic prediction models. - Personalized Medicine: Predictive models tailored to individual health profiles can offer personalized risk assessments and interventions.
