In epidemiology, data filtering refers to the process of selecting and isolating specific data points from a larger dataset to conduct a more focused analysis. This is crucial for identifying patterns, trends, and associations that are relevant to public health research. It involves removing noise and irrelevant information, allowing epidemiologists to work with clean, actionable data.
