Identifying Trends: By analyzing data over a specific period, researchers can identify temporal trends in disease incidence and prevalence. Understanding Causality: Timeframes help establish temporal relationships between exposure and outcome, which is essential for causal inference. Evaluating Interventions: Timeframes allow for the assessment of the effectiveness of public health interventions over time.
