Outcome Detection: Sufficient follow-up time is necessary to observe the occurrence of outcomes, especially for diseases with long latency periods. Data Completeness: Longer follow-up ensures more comprehensive data, reducing bias due to loss to follow-up. Trend Analysis: It allows for the analysis of trends over time, providing insights into disease progression and the effectiveness of interventions.
