Data filtering in epidemiology refers to the process of selecting specific data points from a larger dataset to analyze and interpret epidemiological trends. This is a crucial step in ensuring data quality and relevance, as it helps in identifying patterns, eliminating noise, and focusing on the most pertinent information.