Data interpretation is the process of making sense of the analyzed data. This involves understanding the context of the findings, considering potential biases, and drawing conclusions that are supported by the data. Effective interpretation requires a thorough knowledge of epidemiological principles and the ability to communicate findings clearly to different audiences.
