Why is Data Warehousing Important in Epidemiology?

Data warehousing is essential in epidemiology for several reasons:

Data Integration: It consolidates data from various sources such as hospitals, laboratories, and public health records to provide a comprehensive view of health patterns.
Data Quality: Ensures that the data is cleaned, standardized, and validated, which is crucial for accurate epidemiological analysis.
Historical Data: Stores historical data which can be used for longitudinal studies to track disease trends over time.
Data Accessibility: Provides easier and faster access to data for researchers and public health officials, facilitating timely decision-making.