What is the Future of Data Complexity in Epidemiology?
The future of managing data complexity in epidemiology lies in:
Big Data Analytics: Leveraging big data technologies to analyze massive datasets. Artificial Intelligence: Using AI for predictive modeling and uncovering hidden patterns. Real-Time Data: Incorporating real-time data for dynamic and timely public health responses. Interoperable Systems: Developing systems that can seamlessly integrate and share data across platforms.
