Algorithms are crucial because they allow for efficient and accurate analysis of large datasets, which is essential for public health surveillance. They enable researchers to identify patterns and trends in disease occurrence, assess risk factors, and develop strategies for disease prevention and control. By automating data processing, algorithms save time and reduce human error.
