Why is Algorithm Complexity Important in Epidemiology?
In epidemiology, researchers frequently work with large datasets and complex models to understand the spread of diseases, identify risk factors, and evaluate interventions. Efficient algorithms are essential to ensure that analyses are completed in a reasonable timeframe and with manageable computational resources. This can be especially important during outbreaks when timely information is critical for public health responses.
