What Are the Challenges in Seasonal Decomposition?
Despite its usefulness, seasonal decomposition has some challenges:
Data Quality: Incomplete or inaccurate data can lead to incorrect decomposition, affecting the reliability of the results. Complex Patterns: Some diseases do not follow simple seasonal patterns, making it difficult to decompose the time series accurately. External Factors: Factors such as climate change, human behavior, and interventions can alter seasonal patterns, complicating the analysis.
