Several factors contribute to data complexity in epidemiology:
Heterogeneous Data Sources: Data is gathered from various sources like surveys, clinical records, and social media, each with its own format and structure. Data Quality: Variations in data accuracy, completeness, and consistency pose significant challenges. Temporal and Spatial Variability: Data collected over different periods and locations adds layers of complexity. Missing Data: Incomplete data sets require sophisticated imputation techniques. Multivariate Data: Epidemiological data often includes multiple variables that interact in complex ways.
