Epidemiologists often deal with large and complex datasets, such as those involving infection rates, population demographics, and health outcomes. Numpy's ability to efficiently handle and process large arrays makes it an ideal tool for these tasks. Additionally, Numpy's vectorized operations can significantly speed up calculations compared to traditional loops in Python.