There are several strategies to mitigate performance overhead in epidemiology: - Automation: Automating data collection and processing can significantly reduce manual efforts and errors. - High-Performance Computing: Utilizing high-performance computing resources can handle complex models and large datasets more efficiently. - Optimized Algorithms: Developing and using optimized algorithms can reduce the computational load without compromising accuracy. - Cloud Computing: Leveraging cloud computing platforms can provide scalable resources to handle peak demands during outbreaks. - Training and Resources: Providing adequate training and resources to the public health workforce ensures better handling of data and models.
