One of the fundamental issues in epidemiology is data collection and quality. Inconsistent or poor-quality data can lead to inaccurate conclusions. Various sources like hospital records, surveys, and field studies often provide data, but each comes with its own set of biases and limitations. The advent of big data has added another layer of complexity, requiring sophisticated algorithms and robust statistical methods to ensure data integrity.
