Why is Fourier Transform Relevant to Epidemiology?
Epidemiology often involves the study of time-series data, such as disease incidence or mortality rates over time. The time-series analysis of such data can reveal patterns, trends, and cycles that are not immediately obvious. By using Fourier Transform, epidemiologists can identify periodic components within the data, which can be crucial for understanding the dynamics of disease spread, seasonal variations, and other temporal factors.
