Several challenges can complicate time series analysis in epidemiology:
Data Quality: Incomplete or inaccurate data can lead to misleading results. Complex Patterns: Diseases with multiple contributing factors can exhibit complex temporal patterns. Outliers: Sudden spikes or drops in data can distort analyses. Non-stationarity: Many time series are non-stationary, meaning their statistical properties change over time.
