What Are the Implications of High Computational Overhead?
High computational overhead can have several implications in the field of epidemiology:
Delayed Responses: Slower analyses can delay the identification of outbreaks and the implementation of control measures. Resource Allocation: More computational resources may be required, increasing costs and potentially limiting research capabilities. Reduced Scope: High overhead can limit the scope of studies, restricting the ability to explore multiple scenarios or large datasets.
